From 66dc9ab856f181029eda56ddc36330a62e7aabd2 Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Fri, 25 Jul 2025 15:13:17 -0700 Subject: [PATCH 01/23] Refactors grid generation and updates generating bounds --- xcdat/regridder/accessor.py | 135 +++++++++++++++++++----------------- 1 file changed, 72 insertions(+), 63 deletions(-) diff --git a/xcdat/regridder/accessor.py b/xcdat/regridder/accessor.py index d7306b1a..d82e20fb 100644 --- a/xcdat/regridder/accessor.py +++ b/xcdat/regridder/accessor.py @@ -3,6 +3,7 @@ import xarray as xr from xcdat.axis import CFAxisKey, get_coords_by_name, get_dim_coords +from xcdat.bounds import create_bounds from xcdat.regridder import regrid2, xesmf, xgcm from xcdat.regridder.grid import _validate_grid_has_single_axis_dim @@ -79,69 +80,7 @@ def grid(self) -> xr.Dataset: >>> grid = ds.regridder.grid """ - axis_names: list[CFAxisKey] = ["X", "Y", "Z"] - - axis_coords: dict[str, xr.DataArray] = {} - axis_bounds: dict[str, xr.DataArray] = {} - axis_has_bounds: dict[CFAxisKey, bool] = {} - - with xr.set_options(keep_attrs=True): - for axis in axis_names: - coord, bounds = self._get_axis_coord_and_bounds(axis) - - if coord is not None: - axis_coords[str(coord.name)] = coord - - if bounds is not None: - axis_bounds[str(bounds.name)] = bounds - axis_has_bounds[axis] = True - else: - axis_has_bounds[axis] = False - - # Create a new dataset with coordinates and bounds - ds = xr.Dataset( - coords=axis_coords, - data_vars=axis_bounds, - attrs=self._ds.attrs, - ) - - # Add bounds only for axes that do not already have them. This - # prevents multiple sets of bounds being added for the same axis. - # For example, curvilinear grids can have multiple coordinates for the - # same axis (e.g., (nlat, lat) for X and (nlon, lon) for Y). We only - # need lat_bnds and lon_bnds for the X and Y axes, respectively, and not - # nlat_bnds and nlon_bnds. - for axis, has_bounds in axis_has_bounds.items(): - if not has_bounds: - ds = ds.bounds.add_bounds(axis=axis) - - return ds - - def _get_axis_coord_and_bounds( - self, axis: CFAxisKey - ) -> tuple[xr.DataArray | None, xr.DataArray | None]: - try: - coord_var = get_coords_by_name(self._ds, axis) - if coord_var.size == 1: - raise ValueError( - f"Coordinate '{coord_var}' is a singleton and cannot be used." - ) - except (ValueError, KeyError): - try: - coord_var = get_dim_coords(self._ds, axis) # type: ignore - _validate_grid_has_single_axis_dim(axis, coord_var) - except KeyError: - coord_var = None - - if coord_var is None: - return None, None - - bounds_var = None - bounds_key = coord_var.attrs.get("bounds") - if bounds_key: - bounds_var = self._ds.get(bounds_key) - - return coord_var, bounds_var + return obj_to_grid_ds(self._ds) def horizontal( self, @@ -310,6 +249,76 @@ def vertical( return output_ds +def obj_to_grid_ds(obj: xr.Dataset | xr.DataArray) -> xr.Dataset: + axis_names: list[CFAxisKey] = ["X", "Y", "Z"] + + axis_coords: dict[str, xr.DataArray] = {} + axis_bounds: dict[str, xr.DataArray] = {} + axis_has_bounds: dict[CFAxisKey, bool] = {} + + with xr.set_options(keep_attrs=True): + for axis in axis_names: + coord, bounds = _get_axis_coord_and_bounds(obj, axis) + + if coord is not None: + axis_coords[str(coord.name)] = coord + + if bounds is not None: + axis_bounds[str(bounds.name)] = bounds + axis_has_bounds[axis] = True + else: + axis_has_bounds[axis] = False + + # Create a new dataset with coordinates and bounds + output_ds = xr.Dataset( + coords=axis_coords, + data_vars=axis_bounds, + attrs=obj.attrs, + ) + + # Add bounds only for axes that do not already have them. This + # prevents multiple sets of bounds being added for the same axis. + # For example, curvilinear grids can have multiple coordinates for the + # same axis (e.g., (nlat, lat) for X and (nlon, lon) for Y). We only + # need lat_bnds and lon_bnds for the X and Y axes, respectively, and not + # nlat_bnds and nlon_bnds. + for axis, has_bounds in axis_has_bounds.items(): + if not has_bounds: + output_ds = output_ds.bounds.add_bounds(axis=axis) + + return output_ds + + +def _get_axis_coord_and_bounds( + obj: xr.Dataset | xr.DataArray, axis: CFAxisKey +) -> tuple[xr.DataArray | None, xr.DataArray | None]: + try: + coord_var = get_coords_by_name(obj, axis) + if coord_var.size == 1: + raise ValueError( + f"Coordinate '{coord_var}' is a singleton and cannot be used." + ) + except (ValueError, KeyError): + try: + coord_var = get_dim_coords(obj, axis) # type: ignore + _validate_grid_has_single_axis_dim(axis, coord_var) + except KeyError: + coord_var = None + + if coord_var is None: + return None, None + + bounds_var = None + bounds_key = coord_var.attrs.get("bounds") + if bounds_key: + try: + bounds_var = obj.get(bounds_key) + except AttributeError: + bounds_var = create_bounds(axis, coord_var) + + return coord_var, bounds_var + + def _get_input_grid(ds: xr.Dataset, data_var: str, dup_check_dims: list[CFAxisKey]): """ Extract the grid from ``ds``. From b7de60e1923a3fe3cead7a091b70d2e41e5b2f87 Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Fri, 25 Jul 2025 22:48:14 -0700 Subject: [PATCH 02/23] Fixes dtype in gaussian grid creation --- xcdat/regridder/grid.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/xcdat/regridder/grid.py b/xcdat/regridder/grid.py index 7fc9ebeb..1ee911e2 100644 --- a/xcdat/regridder/grid.py +++ b/xcdat/regridder/grid.py @@ -118,7 +118,7 @@ def _create_gaussian_axis(nlats: int) -> tuple[xr.DataArray, xr.DataArray]: points, weights = _gaussian_axis(mid, nlats) - bounds = np.zeros((nlats + 1)) + bounds = np.zeros((nlats + 1), dtype="f") bounds[0], bounds[-1] = 1.0, -1.0 for i in range(1, mid + 1): @@ -440,6 +440,7 @@ def create_grid( y: xr.DataArray | tuple[xr.DataArray, xr.DataArray | None] | None = None, z: xr.DataArray | tuple[xr.DataArray, xr.DataArray | None] | None = None, attrs: dict[str, str] | None = None, + add_bounds: bool = False, ) -> xr.Dataset: """Creates a grid dataset using the specified axes. @@ -530,6 +531,11 @@ def create_grid( ds = ds.assign_coords({coords.name: coords}) + if add_bounds: + ds = ds.bounds.add_missing_bounds( + axes=[x.upper() for x, y in axes.items() if y is not None] + ) + return ds From 895b6175eab680da40c32ac55cd4b0c7a0fe5fea Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Mon, 28 Jul 2025 13:25:24 -0700 Subject: [PATCH 03/23] Initial land-sea mask implementation --- conda-env/ci.yml | 1 + conda-env/dev.yml | 1 + pyproject.toml | 4 + tests/test_mask.py | 422 +++++++++++++++++++++++++++++++++ xcdat/mask.py | 573 +++++++++++++++++++++++++++++++++++++++++++++ xcdat/navy_land.nc | Bin 0 -> 9409984 bytes 6 files changed, 1001 insertions(+) create mode 100644 tests/test_mask.py create mode 100644 xcdat/mask.py create mode 100755 xcdat/navy_land.nc diff --git a/conda-env/ci.yml b/conda-env/ci.yml index 4e9b162d..afbb78a6 100644 --- a/conda-env/ci.yml +++ b/conda-env/ci.yml @@ -14,6 +14,7 @@ dependencies: - numpy >=2.0.0,<3.0.0 - pandas - python-dateutil + - regionmask - scipy - sparse - xarray >=2024.03.0 diff --git a/conda-env/dev.yml b/conda-env/dev.yml index 82f688b9..2a93eb26 100644 --- a/conda-env/dev.yml +++ b/conda-env/dev.yml @@ -14,6 +14,7 @@ dependencies: - numpy >=2.0.0,<3.0.0 - pandas - python-dateutil + - regionmask - scipy - sparse - xarray >=2024.03.0 diff --git a/pyproject.toml b/pyproject.toml index 618d8789..27a87132 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,6 +29,7 @@ dependencies = [ "numpy >=2.0.0,<3.0.0", "pandas", "python-dateutil", + "regionmask", "scipy", "sparse", "xarray >=2024.03.0", @@ -59,6 +60,9 @@ dev = ["types-python-dateutil", "pre-commit", "ruff", "mypy"] [tool.setuptools.packages.find] include = ["xcdat", "xcdat.*"] +[tool.setuptools.package-data] +"xcdat" = ["*.nc"] + [tool.setuptools.dynamic] version = { attr = "xcdat.__version__" } diff --git a/tests/test_mask.py b/tests/test_mask.py new file mode 100644 index 00000000..e6ef19ed --- /dev/null +++ b/tests/test_mask.py @@ -0,0 +1,422 @@ +import re +import sys +from unittest import mock + +import numpy as np +import pytest +import xarray as xr + +from tests import fixtures +from xcdat import mask + +np.set_printoptions(threshold=sys.maxsize, suppress=True) + +expected_land = [ + [np.nan, np.nan, np.nan, np.nan], + [np.nan, np.nan, np.nan, np.nan], + [1, 1, 1, 1], + [1, 1, 1, 1], +] + +expected_sea = [ + [1, 1, 1, 1], + [1, 1, 1, 1], + [np.nan, np.nan, np.nan, np.nan], + [np.nan, np.nan, np.nan, np.nan], +] + + +@pytest.fixture(scope="function") +def mask_da(): + return xr.DataArray( + [ + [1, 0, 0, 0], + [0, 0, 0, 0], + [0, 0, 1, 1], + [0, 0, 1, 1], + ], + dims=["lat", "lon"], + ) + + +@pytest.fixture(scope="function") +def source_da(): + return xr.DataArray( + [ + [1, 0.4, 0, 0], + [0.5, 0.2, 0.4, 0.6], + [0, 0.2, 0.8, 1], + [0, 0.1, 1, 1], + ], + dims=["lat", "lon"], + ) + + +@pytest.fixture(scope="function") +def diff_da(): + return xr.DataArray( + [ + [0.0, 0.0, 0.0, 0.0], + [0.0, 0.0, 0.0, 0.0], + [0.0, 0.0, 0.0, 0.0], + [0.0, 0.0, 0.0, 0.0], + ], + dims=["lat", "lon"], + ) + + +@pytest.fixture(scope="function") +def ds(): + return fixtures.generate_dataset(True, True, True) + + +def test_accessor(ds): + expected_coords = { + "lat": ds.lat.copy(), + "lon": ds.lon.copy(), + "time": ds.time.copy()[0], + } + + sea_expected = xr.DataArray( + expected_land, + dims=("lat", "lon"), + coords=expected_coords, + ) + + land_expected = xr.DataArray( + expected_sea, + dims=("lat", "lon"), + coords=expected_coords, + ) + + ac = mask.MaskAccessor(ds.isel(time=0)) + + land_output = ac.sea("ts") + + xr.testing.assert_allclose(land_output.ts, land_expected) + + sea_output = ac.land("ts") + + xr.testing.assert_allclose(sea_output.ts, sea_expected) + + +def test_mask_invalid_data_var(ds): + with pytest.raises(KeyError): + mask._mask(ds, "tas") + + +def test_mask_invalid_keep(ds): + with pytest.raises( + ValueError, match=r"Keep value 'artic' is not valid, options are 'land, sea'" + ): + mask._mask(ds, "ts", keep="artic") + + +def test_mask_fractional(ds): + custom_mask = xr.DataArray( + [ + [0.1, 0.1, 0.1, 0.1], + [0.1, 0.9, 0.9, 0.1], + [0.1, 0.9, 0.9, 0.1], + [0.1, 0.1, 0.1, 0.1], + ], + dims=("lat", "lon"), + ) + + expected_sea = xr.DataArray( + [ + [1, 1, 1, 1], + [1, np.nan, np.nan, 1], + [1, np.nan, np.nan, 1], + [1, 1, 1, 1], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy(), "time": ds.time.copy()[0]}, + ) + + output = mask._mask(ds.isel(time=0), "ts", mask=custom_mask) + + xr.testing.assert_allclose(output.ts, expected_sea) + + # invert expected + expected_land = expected_sea.copy() + expected_land = xr.where(expected_sea == 1, np.nan, expected_land) + expected_land = xr.where(np.isnan(expected_sea), 1.0, np.nan) + + output = mask._mask(ds.isel(time=0), "ts", keep="land", mask=custom_mask) + + xr.testing.assert_allclose(output.ts, expected_land) + + +def test_mask_custom(ds): + custom_mask = xr.DataArray( + [ + [1, 0, 0, 1], + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 0, 0, 1], + ], + dims=("lat", "lon"), + ) + + expected = xr.DataArray( + [ + [np.nan, 1, 1, np.nan], + [np.nan, np.nan, np.nan, np.nan], + [np.nan, np.nan, np.nan, np.nan], + [np.nan, 1, 1, np.nan], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy(), "time": ds.time.copy()[0]}, + ) + + output = mask._mask(ds.isel(time=0), "ts", mask=custom_mask) + + xr.testing.assert_allclose(output.ts, expected) + + +def test_mask_land(ds): + expected = xr.DataArray( + expected_land, + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy(), "time": ds.time[0].copy()}, + ) + + output = mask._mask(ds.isel(time=0), "ts") + + xr.testing.assert_allclose(output.ts, expected) + + +def test_mask_sea(ds): + expected = xr.DataArray( + expected_sea, + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy(), "time": ds.time[0].copy()}, + ) + + output = mask._mask(ds.isel(time=0), "ts", keep="land") + + xr.testing.assert_allclose(output.ts, expected) + + +def test_generate_land_sea_mask_invalid_method(ds): + with pytest.raises( + ValueError, + match=r"Method value 'custom' is not valid, options are 'regionmask, pcmdi'", + ): + mask.generate_land_sea_mask(ds["ts"], method="custom") + + +def test_generate_land_sea_mask_regionmask(ds): + expected = xr.DataArray( + [ + [1, 1, 1, 1], + [1, 1, 1, 1], + [0, 0, 0, 0], + [0, 0, 0, 0], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + ) + + output = mask.generate_land_sea_mask(ds["ts"]) + + xr.testing.assert_allclose(output, expected) + + +def test_generate_land_sea_mask_pcmdi(ds): + expected = xr.DataArray( + [ + [1, 1, 1, 1], + [0, 0, 0, 0], + [1, 1, 0, 1], + [0, 0, 0, 0], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + attrs={"Conventions": "CF-1.0"}, + ) + + output = mask.generate_land_sea_mask(ds["ts"], method="pcmdi") + + xr.testing.assert_equal(output.lsmask, expected) + + +@mock.patch("xcdat.mask._improve_mask") +def test_generate_land_sea_mask_pcmdi_multiple_iterations(_improve_mask, ds): + mask1 = xr.DataArray( + [ + [1, 1, 1, 1], + [0, 0, 0, 0], + [1, 1, 0, 1], + [0, 0, 0, 0], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + ) + mask2 = xr.DataArray( + [ + [1, 1, 1, 1], + [0, 0, 0, 0], + [1, 1, 1, 1], + [0, 0, 0, 0], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + ) + + _improve_mask.side_effect = [ + xr.Dataset({"sftlf": mask1.copy()}), + xr.Dataset({"sftlf": mask2.copy()}), + xr.Dataset({"sftlf": mask2.copy()}), + ] + + expected = xr.DataArray( + [ + [1, 1, 1, 1], + [0, 0, 0, 0], + [1, 1, 1, 1], + [0, 0, 0, 0], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + ) + + output = mask.generate_land_sea_mask(ds["ts"], method="pcmdi") + + xr.testing.assert_equal(output.lsmask, expected) + + +def test_get_resource_path(monkeypatch, tmp_path): + mock_file = tmp_path / "navy_land.nc" + mock_file.touch() + + mock_as_file = mock.MagicMock() + mock_as_file.return_value.__enter__.return_value = mock_file + + monkeypatch.setattr(mask.resources, "as_file", mock_as_file) + + path = mask._get_resource_path("navy_land.nc") + + assert path == mock_file + + +def test_get_resource_path_fallback_from_exception(monkeypatch, tmp_path): + mock_file = tmp_path / "xcdat" / "navy_land.nc" + mock_file.parent.mkdir(parents=True, exist_ok=True) + mock_file.touch() + + mock_as_file = mock.MagicMock() + mock_as_file.side_effect = Exception("Resource not found") + + monkeypatch.setattr(mask.resources, "as_file", mock_as_file) + + path = mask._get_resource_path("navy_land.nc", tmp_path) + + assert re.match(r".*xcdat/navy_land.nc", str(path)) + + +def test_get_resource_path_fallback_missing(monkeypatch, tmp_path): + mock_as_file = mock.MagicMock() + mock_as_file.side_effect = Exception("Resource not found") + + monkeypatch.setattr(mask.resources, "as_file", mock_as_file) + + with pytest.raises( + RuntimeError, + match=r"Resource file 'navy_land.nc' not found in package or at .*", + ): + mask._get_resource_path("navy_land.nc", tmp_path) + + +def test_is_circular(): + # Circular + lon = xr.DataArray(data=np.array([0, 90, 180, 270]), dims=["lon"]) + lon_bnds = xr.DataArray( + data=np.array([[-45, 45], [45, 135], [135, 225], [225, 315]]), + dims=["lon", "bnds"], + ) + assert mask._is_circular(lon, lon_bnds) is True + + # Not circular + lon = xr.DataArray(data=np.array([0, 90, 180, 270]), dims=["lon"]) + lon_bnds = xr.DataArray( + data=np.array([[-45, 45], [45, 135], [135, 225], [225, 300]]), + dims=["lon", "bnds"], + ) + assert mask._is_circular(lon, lon_bnds) is False + + +def test_generate_surrounds_non_circular(source_da): + # surronds = mask._generate_surrounds(da, is_circular=False) + UL, UC, UR, ML, MR, LL, LC, LR = mask._generate_surrounds( + source_da, is_circular=False + ) + + np.testing.assert_array_equal(UC, source_da[2:, 1:-1]) + np.testing.assert_array_equal(LC, source_da[:-2, 1:-1]) + np.testing.assert_array_equal(ML, source_da[1:-1, :-2]) + np.testing.assert_array_equal(MR, source_da[1:-1, 2:]) + np.testing.assert_array_equal(UL, source_da[2:, :-2]) + np.testing.assert_array_equal(UR, source_da[2:, 2:]) + np.testing.assert_array_equal(LL, source_da[:-2, :-2]) + np.testing.assert_array_equal(LR, source_da[:-2, 2:]) + + +def test_generate_surrounds_circular(source_da): + UL, UC, UR, ML, MR, LL, LC, LR = mask._generate_surrounds( + source_da, is_circular=True + ) + + np.testing.assert_array_equal(UC, source_da[2:, :]) + np.testing.assert_array_equal(LC, source_da[:-2, :]) + np.testing.assert_array_equal(ML, np.roll(source_da[1:-1, :], 1, axis=1)) + np.testing.assert_array_equal(MR, np.roll(source_da[1:-1, :], -1, axis=1)) + np.testing.assert_array_equal(UL, np.roll(source_da[2:, :], 1, axis=1)) + np.testing.assert_array_equal(UR, np.roll(source_da[2:, :], -1, axis=1)) + np.testing.assert_array_equal(LL, np.roll(source_da[:-2, :], 1, axis=1)) + np.testing.assert_array_equal(LR, np.roll(source_da[:-2, :], -1, axis=1)) + + +def test_convert_points_to_land(mask_da, source_da, diff_da): + diff_da[1, 1] = 0.8 + + source_da[1, 1] = 0.4 + + surrounds = mask._generate_surrounds(source_da, is_circular=False) + + result = mask._convert_points( + mask_da, + source_da, + diff_da, + threshold1=0.2, + threshold2=0.3, + is_circular=False, + surrounds=surrounds, + convert_land=True, + ) + expected = mask_da.copy() + expected[1, 1] = 1.0 + xr.testing.assert_allclose(result, expected) + + +def test_convert_points_to_sea(mask_da, source_da, diff_da): + diff_da[2, 2] = -0.8 + + source_da[2, 2] = 0.6 + + surrounds = mask._generate_surrounds(source_da, is_circular=False) + + result = mask._convert_points( + mask_da, + source_da, + diff_da, + threshold1=-0.2, + threshold2=0.7, + is_circular=False, + surrounds=surrounds, + convert_land=False, + ) + expected = mask_da.copy() + expected[2, 2] = 0.0 + xr.testing.assert_allclose(result, expected) diff --git a/xcdat/mask.py b/xcdat/mask.py new file mode 100644 index 00000000..d8ffaac0 --- /dev/null +++ b/xcdat/mask.py @@ -0,0 +1,573 @@ +from importlib import resources +from pathlib import Path +from typing import Callable + +import numpy as np +import regionmask +import xarray as xr + +from xcdat import open_dataset +from xcdat._logger import _setup_custom_logger +from xcdat.axis import get_dim_coords +from xcdat.regridder.accessor import obj_to_grid_ds +from xcdat.regridder.grid import create_grid + +logger = _setup_custom_logger(__name__) + +VALID_METHODS: list[str] = ["regionmask", "pcmdi"] +VALID_KEEP: list[str] = ["land", "sea"] + + +@xr.register_dataset_accessor("geo_mask") +class MaskAccessor: + """A class for masking geographical data.""" + + def __init__(self, ds: xr.Dataset): + self._ds = ds + + def land( + self, + data_var: str, + method: str = "regionmask", + criteria: float | None = None, + mask: xr.DataArray | None = None, + ): + """Masks a data variable by sea. + + Parameters + ---------- + data_var : str + The key of the data variable to mask. + method : str, optional + The masking method, by default "regionmask". + Supported methods: "regionmask", "pcmdi". + criteria : float | None, optional + The value to use as the criteria for masking, by default None. + If None, defaults to 0.2. + mask : xr.DataArray | None, optional + A custom mask to apply, by default None. If None, a mask is + generated using the specified ``method``. + + Returns + ------- + xr.Dataset + The dataset with the data variable masked by sea. + """ + return _mask( + self._ds, data_var, method, keep="sea", criteria=criteria, mask=mask + ) + + def sea( + self, + data_var: str, + method: str = "regionmask", + criteria: float | None = None, + mask: xr.DataArray | None = None, + ): + """Masks a data variable by land. + + Parameters + ---------- + data_var : str + The key of the data variable to mask. + method : str, optional + The masking method, by default "regionmask". + Supported methods: "regionmask", "pcmdi". + criteria : float | None, optional + The value to use as the criteria for masking, by default None. + If None, defaults to 0.8. + mask : xr.DataArray | None, optional + A custom mask to apply, by default None. If None, a mask is + generated using the specified ``method``. + + Returns + ------- + xr.Dataset + The dataset with the data variable masked by land. + """ + return _mask( + self._ds, data_var, method, keep="land", criteria=criteria, mask=mask + ) + + +def _mask( + ds: xr.Dataset, + data_var: str, + method: str = "regionmask", + keep: str = "sea", + criteria: float | None = None, + mask: xr.DataArray | None = None, +) -> xr.Dataset: + """Masks a data variable by land or sea. + + Parameters + ---------- + ds : xr.Dataset + The dataset to mask. + data_var : str + The key of the data variable to mask. + method : str, optional + The masking method, by default "regionmask". + Supported methods: "regionmask", "pcmdi". + keep : str, optional + Whether to keep "land" or "sea" points, by default "sea". + criteria : float | None, optional + The value to use as the criteria for masking, by default None. + If None, defaults to 0.2 for "sea" and 0.8 for "land". + mask : xr.DataArray | None, optional + A custom mask to apply, by default None. If None, a mask is + generated using the specified ``method``. + + Returns + ------- + xr.Dataset + The dataset with the masked data variable. + + Raises + ------ + ValueError + If `keep` is not "land" or "sea". + """ + if keep not in VALID_KEEP: + raise ValueError( + f"Keep value {keep!r} is not valid, options are {', '.join(VALID_KEEP)!r}" + ) + + _ds = ds.copy() + + da = _ds[data_var] + + if mask is None: + mask = generate_land_sea_mask(da, method) + + if keep == "sea": + _ds[data_var] = da.where(mask <= (criteria or 0.2)) + else: + _ds[data_var] = da.where(mask >= (criteria or 0.8)) + + return _ds + + +def generate_land_sea_mask( + da: xr.DataArray, method: str = "regionmask" +) -> xr.DataArray: + """Generate a land-sea mask. + + Parameters + ---------- + da : xr.DataArray + The DataArray to generate the mask for. + method : str, optional + The method to use for generating the mask, by default "regionmask". + Supported methods: "regionmask", "pcmdi". + + Returns + ------- + xr.DataArray + The land-sea mask. + + Raises + ------ + ValueError + If `method` is not "regionmask" or "pcmdi". + + References + ---------- + .. _PCMDI's report #58: https://pcmdi.llnl.gov/report/ab58.html + + History + ------- + 2023-06 The [original code](https://github.com/CDAT/cdutil/blob/master/cdutil/create_landsea_mask.py) was rewritten using xarray and xcdat by Jiwoo Lee + """ + if method not in VALID_METHODS: + raise ValueError( + f"Method value {method!r} is not valid, options are {', '.join(VALID_METHODS)!r}" + ) + + if method == "regionmask": + land_mask = regionmask.defined_regions.natural_earth_v5_0_0.land_110 + + lon, lat = get_dim_coords(da, "X"), get_dim_coords(da, "Y") + + land_sea_mask = land_mask.mask(lon, lat=lat) + + land_sea_mask = xr.where(land_sea_mask, 0, 1) + elif method == "pcmdi": + land_sea_mask = _pcmdi_land_sea_mask(da) + + return land_sea_mask + + +def _pcmdi_land_sea_mask( + da: xr.DataArray, + threshold1: float = 0.2, + threshold2: float = 0.3, + mask_name: str = "lsmask", +) -> xr.DataArray: + """Generate a land-sea mask using the PCMDI method. + + This method uses a high-resolution land-sea mask and regrids it to the + resolution of the input DataArray. It then iteratively improves the mask. + + Parameters + ---------- + da : xr.DataArray + The DataArray to generate the mask for. + threshold1 : float, optional + The first threshold for improving the mask, by default 0.2. + threshold2 : float, optional + The second threshold for improving the mask, by default 0.3. + mask_name : str, optional + The name of the mask variable, by default "lsmask". + + Returns + ------- + xr.DataArray + The land-sea mask. + """ + resource_path = str(_get_resource_path("navy_land.nc", Path.cwd())) + + highres = open_dataset(resource_path) + + highres_regrid = highres.regridder.horizontal( + "sftlf", obj_to_grid_ds(da), tool="regrid2" + ) + + mask = highres_regrid.copy() + mask["sftlf"] = xr.where(highres_regrid.sftlf > 0.5, 1, 0).astype("i") + + lon = mask.sftlf.cf["X"] + lon_bnds = mask.bounds.get_bounds("X") + is_circular = _is_circular(lon, lon_bnds) + + surrounds = _generate_surrounds(mask.sftlf, is_circular) + + i = 0 + + while i <= 25: + logger.debug("Iteration %i", i + 1) + + improved_mask = _improve_mask( + mask, + highres_regrid, + "sftlf", + surrounds, + is_circular, + threshold1, + threshold2, + ) + + if improved_mask.equals(mask): + break + + mask = improved_mask + + i += 1 + + mask = mask.rename({"sftlf": mask_name}) + + return mask + + +def _get_resource_path(filename: str, default_path: Path | None = None) -> Path: + """Get the path to a resource file. + + Parameters + ---------- + filename : str + The name of the resource file. + + Returns + ------- + Path + The path to the resource file. + """ + if default_path is None: + default_path = Path.cwd() + + resource_path: Path | None = None + + try: + with resources.as_file(resources.files("xcdat").joinpath(filename)) as x: + resource_path = x + except Exception as e: + logger.warning(e) + resource_path = None + + if resource_path and resource_path.exists(): + return resource_path + + resource_path = default_path / "xcdat" / filename + + if not resource_path.exists(): + raise RuntimeError( + f"Resource file {filename!r} not found in package or at {resource_path!s}." + ) + + return resource_path + + +def _is_circular(lon: xr.DataArray, lon_bnds: xr.DataArray) -> bool: + """Check if a longitude axis is circular. + + Parameters + ---------- + lon : xr.DataArray + The longitude coordinates. + lon_bnds : xr.DataArray + The longitude bounds. + + Returns + ------- + bool + True if the longitude axis is circular, False otherwise. + """ + axis_start, axis_stop = float(lon[0]), float(lon[-1]) + delta = float(lon[-1] - lon[-2]) + alignment = abs(axis_stop + delta - axis_start - 360.0) + tolerance = 0.01 * delta + mod_360 = float(lon_bnds[-1][1] - lon_bnds[0][0]) % 360 + + return alignment < tolerance and mod_360 == 0 + + +def _improve_mask( + mask: xr.Dataset, + source: xr.Dataset, + data_var: str, + surrounds: list[np.ndarray], + is_circular: bool, + threshold1=0.2, + threshold2=0.3, +) -> xr.Dataset: + """Improve a land-sea mask. + + This function improves a land-sea mask by converting points based on + their surrounding values and a source mask. + + Parameters + ---------- + mask : xr.Dataset + The mask to improve. + source : xr.Dataset + The source dataset for comparison. + data_var : str + The name of the data variable in the mask and source. + surrounds : list[np.ndarray] + A list of surrounding points for each point in the mask. + is_circular : bool + Whether the longitude axis is circular. + threshold1 : float, optional + The first threshold for conversion, by default 0.2. + threshold2 : float, optional + The second threshold for conversion, by default 0.3. + + Returns + ------- + xr.Dataset + The improved mask. + """ + mask_approx = _map2four( + mask, + data_var, + ) + + diff = source[data_var] - mask_approx[data_var] + + mask_convert_land = _convert_points( + mask[data_var] * 1.0, + source[data_var], + diff, + threshold1, + threshold2, + is_circular, + surrounds, + ) + + mask_convert_sea = _convert_points( + mask_convert_land, + source[data_var], + diff, + -threshold1, + 1.0 - threshold2, + is_circular, + surrounds, + convert_land=False, + ) + + mask[data_var] = mask_convert_sea.astype("i") + + return mask + + +def _map2four(mask: xr.Dataset, data_var: str) -> xr.Dataset: + """Map a mask to four subgrids and back. + + This function regrids a mask to four subgrids (odd-odd, odd-even, + even-odd, even-even) and then combines them back into a single mask. + This is used to approximate the mask at a higher resolution. + + Parameters + ---------- + mask : xr.Dataset + The mask to process. + data_var : str + The name of the data variable in the mask. + + Returns + ------- + xr.Dataset + The processed mask. + """ + mask_temp = mask.copy() + + lat, lon = mask_temp[data_var].cf["Y"], mask_temp[data_var].cf["X"] + lat_odd, lat_even = lat[::2], lat[1::2] + lon_odd, lon_even = lon[::2], lon[1::2] + + odd_odd = create_grid(y=lat_odd, x=lon_odd, add_bounds=True) + odd_even = create_grid(y=lat_odd, x=lon_even, add_bounds=True) + even_odd = create_grid(y=lat_even, x=lon_odd, add_bounds=True) + even_even = create_grid(y=lat_even, x=lon_even, add_bounds=True) + + regrid_odd_odd = mask_temp.regridder.horizontal(data_var, odd_odd, tool="regrid2") + regrid_odd_even = mask_temp.regridder.horizontal(data_var, odd_even, tool="regrid2") + regrid_even_odd = mask_temp.regridder.horizontal(data_var, even_odd, tool="regrid2") + regrid_even_even = mask_temp.regridder.horizontal( + data_var, even_even, tool="regrid2" + ) + + output = np.zeros(mask_temp[data_var].shape, dtype="f") + + output[::2, ::2] = regrid_odd_odd[data_var].data + output[::2, 1::2] = regrid_odd_even[data_var].data + output[1::2, ::2] = regrid_even_odd[data_var].data + output[1::2, 1::2] = regrid_even_even[data_var].data + + mask_temp[data_var] = (mask_temp[data_var].dims, output) + + return mask_temp + + +def _convert_points( + mask: xr.DataArray, + source: xr.DataArray, + diff: xr.DataArray, + threshold1: float, + threshold2: float, + is_circular: bool, + surrounds: list[np.ndarray], + convert_land=True, +) -> xr.DataArray: + """Convert points in a mask based on surrounding values. + + This function converts points in a mask from land to sea or sea to land + based on a set of thresholds and the values of surrounding points. + + Parameters + ---------- + mask : xr.DataArray + The mask to modify. + source : xr.DataArray + The source data for comparison. + diff : xr.DataArray + The difference between the source and an approximated mask. + threshold1 : float + The first threshold for conversion. + threshold2 : float + The second threshold for conversion. + is_circular : bool + Whether the longitude axis is circular. + surrounds : list[np.ndarray] + A list of surrounding points for each point in the mask. + convert_land : bool, optional + Whether to convert points to land (True) or sea (False), by default True. + + Returns + ------- + xr.DataArray + The modified mask. + """ + UL, UC, UR, ML, MR, LL, LC, LR = surrounds + + flip_value = 0.0 + mask_value = 1.0 + compare_func: Callable + if convert_land: + compare_func = np.greater + else: + compare_func = np.less + flip_value = 1.0 + mask_value = 0.0 + + c1 = compare_func(diff, threshold1) + c2 = compare_func(source, threshold2) + c = np.logical_and(c1, c2) + + cUL, cUC, cUR, cML, cMR, cLL, cLC, cLR = _generate_surrounds(c, is_circular) + + if is_circular: + c = c[1:-1] + temp = source.data[1:-1] + else: + c = c[1:-1, 1:-1] + temp = source.data[1:-1, 1:-1] + + m = np.logical_and(c, compare_func(temp, np.where(cUL, UL, flip_value))) + m = np.logical_and(m, compare_func(temp, np.where(cUC, UC, flip_value))) + m = np.logical_and(m, compare_func(temp, np.where(cUR, UR, flip_value))) + m = np.logical_and(m, compare_func(temp, np.where(cML, ML, flip_value))) + m = np.logical_and(m, compare_func(temp, np.where(cMR, MR, flip_value))) + m = np.logical_and(m, compare_func(temp, np.where(cLL, LL, flip_value))) + m = np.logical_and(m, compare_func(temp, np.where(cLC, LC, flip_value))) + m = np.logical_and(m, compare_func(temp, np.where(cLR, LR, flip_value))) + + if is_circular: + mask[1:-1] = xr.where(m, mask_value, mask[1:-1]) + else: + mask[1:-1, 1:-1] = xr.where(m, mask_value, mask[1:-1, 1:-1]) + + return mask + + +def _generate_surrounds(da: xr.DataArray, is_circular: bool) -> list[np.ndarray]: + """Generate surrounding points for each point in a DataArray. + + This function returns a list of 8 arrays, each representing the + values of the 8 surrounding points (UL, UC, UR, ML, MR, LL, LC, LR) + for each point in the input DataArray. + + Parameters + ---------- + da : xr.DataArray + The input DataArray. + is_circular : bool + Whether the longitude axis is circular. + + Returns + ------- + list[np.ndarray] + A list of 8 arrays representing the surrounding points. + """ + data = da.data + + y_up, y_mid, y_down = slice(2, None), slice(1, -1), slice(None, -2) + + if is_circular: + # For circular longitude, roll the horizontal axis. + UC, LC = data[y_up, :], data[y_down, :] + ML, MR = np.roll(data[y_mid, :], 1, axis=1), np.roll(data[y_mid, :], -1, axis=1) + UL, UR = np.roll(data[y_up, :], 1, axis=1), np.roll(data[y_up, :], -1, axis=1) + LL, LR = ( + np.roll(data[y_down, :], 1, axis=1), + np.roll(data[y_down, :], -1, axis=1), + ) + else: + # For non-circular, slice the horizontal axis. + x_left, x_mid, x_right = slice(None, -2), slice(1, -1), slice(2, None) + UC, LC = data[y_up, x_mid], data[y_down, x_mid] + ML, MR = data[y_mid, x_left], data[y_mid, x_right] + UL, UR = data[y_up, x_left], data[y_up, x_right] + LL, LR = data[y_down, x_left], data[y_down, x_right] + + return [UL, UC, UR, ML, MR, LL, LC, LR] diff --git a/xcdat/navy_land.nc b/xcdat/navy_land.nc new file mode 100755 index 0000000000000000000000000000000000000000..db5a036f5c764ddad89617743151c9de09d0d73b GIT binary patch literal 9409984 zcmeFae{__0z3)54rqWnyik+6mQU}@~9ZLFm-QImSh^qnlJ9GO^|G(Oqw|siM9Q$u$zs47y+p~4I{ptLlZ}QkDvvXhb_Hp(8 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mock_as_file.side_effect = Exception("Resource not found") + mock_as_file.side_effect = FileNotFoundError("Resource not found") monkeypatch.setattr(mask.resources, "as_file", mock_as_file) @@ -318,7 +318,7 @@ def test_get_resource_path_fallback_from_exception(monkeypatch, tmp_path): def test_get_resource_path_fallback_missing(monkeypatch, tmp_path): mock_as_file = mock.MagicMock() - mock_as_file.side_effect = Exception("Resource not found") + mock_as_file.side_effect = FileNotFoundError("Resource not found") monkeypatch.setattr(mask.resources, "as_file", mock_as_file) diff --git a/xcdat/mask.py b/xcdat/mask.py index d8ffaac0..6eb615de 100644 --- a/xcdat/mask.py +++ b/xcdat/mask.py @@ -290,7 +290,7 @@ def _get_resource_path(filename: str, default_path: Path | None = None) -> Path: try: with resources.as_file(resources.files("xcdat").joinpath(filename)) as x: resource_path = x - except Exception as e: + except (ModuleNotFoundError, FileNotFoundError) as e: logger.warning(e) resource_path = None From a65762833d601be54a5d8ab82ef1c9841c967559 Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Mon, 28 Jul 2025 14:46:53 -0700 Subject: [PATCH 05/23] Fixes copying mask as it's modified in place by _improve_mask --- xcdat/mask.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/xcdat/mask.py b/xcdat/mask.py index 6eb615de..4a9d8262 100644 --- a/xcdat/mask.py +++ b/xcdat/mask.py @@ -248,7 +248,7 @@ def _pcmdi_land_sea_mask( logger.debug("Iteration %i", i + 1) improved_mask = _improve_mask( - mask, + mask.copy(deep=True), highres_regrid, "sftlf", surrounds, From 2e2a3c7d43f9e9f27d617ac0db1a4e2d0c6afaa0 Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Wed, 30 Jul 2025 15:52:36 -0700 Subject: [PATCH 06/23] Fixes returning DataArray from _pcmdi_land_sea_mask --- xcdat/mask.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/xcdat/mask.py b/xcdat/mask.py index 4a9d8262..1a832660 100644 --- a/xcdat/mask.py +++ b/xcdat/mask.py @@ -202,7 +202,6 @@ def _pcmdi_land_sea_mask( da: xr.DataArray, threshold1: float = 0.2, threshold2: float = 0.3, - mask_name: str = "lsmask", ) -> xr.DataArray: """Generate a land-sea mask using the PCMDI method. @@ -264,9 +263,7 @@ def _pcmdi_land_sea_mask( i += 1 - mask = mask.rename({"sftlf": mask_name}) - - return mask + return mask["sftlf"] def _get_resource_path(filename: str, default_path: Path | None = None) -> Path: From 8c4025bc92ab482ae8e8b57e60597d652051e300 Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Wed, 30 Jul 2025 15:53:12 -0700 Subject: [PATCH 07/23] Renames accessor and masking methods --- tests/test_mask.py | 4 ++-- xcdat/mask.py | 6 +++--- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/tests/test_mask.py b/tests/test_mask.py index 3a81d535..839f71a6 100644 --- a/tests/test_mask.py +++ b/tests/test_mask.py @@ -91,11 +91,11 @@ def test_accessor(ds): ac = mask.MaskAccessor(ds.isel(time=0)) - land_output = ac.sea("ts") + land_output = ac.mask_sea("ts") xr.testing.assert_allclose(land_output.ts, land_expected) - sea_output = ac.land("ts") + sea_output = ac.mask_land("ts") xr.testing.assert_allclose(sea_output.ts, sea_expected) diff --git a/xcdat/mask.py b/xcdat/mask.py index 1a832660..f99c5fd3 100644 --- a/xcdat/mask.py +++ b/xcdat/mask.py @@ -18,14 +18,14 @@ VALID_KEEP: list[str] = ["land", "sea"] -@xr.register_dataset_accessor("geo_mask") +@xr.register_dataset_accessor("geomask") class MaskAccessor: """A class for masking geographical data.""" def __init__(self, ds: xr.Dataset): self._ds = ds - def land( + def mask_land( self, data_var: str, method: str = "regionmask", @@ -57,7 +57,7 @@ def land( self._ds, data_var, method, keep="sea", criteria=criteria, mask=mask ) - def sea( + def mask_sea( self, data_var: str, method: str = "regionmask", From ee87e773194f0944a54cfa238b170a1aaa072450 Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Wed, 30 Jul 2025 16:01:28 -0700 Subject: [PATCH 08/23] Fixes broken test expecting dataarray --- tests/test_mask.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_mask.py b/tests/test_mask.py index 839f71a6..1893be4a 100644 --- a/tests/test_mask.py +++ b/tests/test_mask.py @@ -239,7 +239,7 @@ def test_generate_land_sea_mask_pcmdi(ds): output = mask.generate_land_sea_mask(ds["ts"], method="pcmdi") - xr.testing.assert_equal(output.lsmask, expected) + xr.testing.assert_equal(output, expected) @mock.patch("xcdat.mask._improve_mask") @@ -284,7 +284,7 @@ def test_generate_land_sea_mask_pcmdi_multiple_iterations(_improve_mask, ds): output = mask.generate_land_sea_mask(ds["ts"], method="pcmdi") - xr.testing.assert_equal(output.lsmask, expected) + xr.testing.assert_equal(output, expected) def test_get_resource_path(monkeypatch, tmp_path): From 38741d0bdbdc426fc46d8ed9fd6d93c6bd588a1c Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Wed, 30 Jul 2025 16:16:29 -0700 Subject: [PATCH 09/23] Adds option to output mask in dataset --- tests/test_mask.py | 10 ++++++++++ xcdat/mask.py | 35 +++++++++++++++++++++++++++++++++-- 2 files changed, 43 insertions(+), 2 deletions(-) diff --git a/tests/test_mask.py b/tests/test_mask.py index 1893be4a..a2ed29ca 100644 --- a/tests/test_mask.py +++ b/tests/test_mask.py @@ -112,6 +112,16 @@ def test_mask_invalid_keep(ds): mask._mask(ds, "ts", keep="artic") +def test_mask_output_mask(ds): + output = mask._mask(ds, "ts", output_mask=True) + + assert "ts_mask" in output + + output = mask._mask(ds, "ts", output_mask="sea_mask") + + assert "sea_mask" in output + + def test_mask_fractional(ds): custom_mask = xr.DataArray( [ diff --git a/xcdat/mask.py b/xcdat/mask.py index f99c5fd3..db3baae0 100644 --- a/xcdat/mask.py +++ b/xcdat/mask.py @@ -31,6 +31,7 @@ def mask_land( method: str = "regionmask", criteria: float | None = None, mask: xr.DataArray | None = None, + output_mask: bool | str = False, ): """Masks a data variable by sea. @@ -47,6 +48,10 @@ def mask_land( mask : xr.DataArray | None, optional A custom mask to apply, by default None. If None, a mask is generated using the specified ``method``. + output_mask : bool | str, optional + If True, returns the mask as a DataArray along with the masked + dataset. If a string, the name of the mask variable to add to the + dataset. By default False. Returns ------- @@ -54,7 +59,13 @@ def mask_land( The dataset with the data variable masked by sea. """ return _mask( - self._ds, data_var, method, keep="sea", criteria=criteria, mask=mask + self._ds, + data_var, + method, + keep="sea", + criteria=criteria, + mask=mask, + output_mask=output_mask, ) def mask_sea( @@ -63,6 +74,7 @@ def mask_sea( method: str = "regionmask", criteria: float | None = None, mask: xr.DataArray | None = None, + output_mask: bool = False, ): """Masks a data variable by land. @@ -79,6 +91,10 @@ def mask_sea( mask : xr.DataArray | None, optional A custom mask to apply, by default None. If None, a mask is generated using the specified ``method``. + output_mask : bool | str, optional + If True, returns the mask as a DataArray along with the masked + dataset. If a string, the name of the mask variable to add to the + dataset. By default False. Returns ------- @@ -86,7 +102,13 @@ def mask_sea( The dataset with the data variable masked by land. """ return _mask( - self._ds, data_var, method, keep="land", criteria=criteria, mask=mask + self._ds, + data_var, + method, + keep="land", + criteria=criteria, + mask=mask, + output_mask=output_mask, ) @@ -97,6 +119,7 @@ def _mask( keep: str = "sea", criteria: float | None = None, mask: xr.DataArray | None = None, + output_mask: bool | str = False, ) -> xr.Dataset: """Masks a data variable by land or sea. @@ -145,6 +168,14 @@ def _mask( else: _ds[data_var] = da.where(mask >= (criteria or 0.8)) + if output_mask: + if isinstance(output_mask, str): + mask_name = output_mask + else: + mask_name = f"{data_var}_mask" + + _ds[mask_name] = mask + return _ds From 63b9843e7ed55bd0560eb9f05309d6b8d5e1f138 Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Thu, 31 Jul 2025 12:21:16 -0700 Subject: [PATCH 10/23] Adds dispatcher options and updates documentation --- docs/api.rst | 3 +++ xcdat/mask.py | 28 +++++++++++++++++++++------- 2 files changed, 24 insertions(+), 7 deletions(-) diff --git a/docs/api.rst b/docs/api.rst index e625146d..caa80d62 100644 --- a/docs/api.rst +++ b/docs/api.rst @@ -95,6 +95,7 @@ Classes regridder.regrid2.Regrid2Regridder regridder.xesmf.XESMFRegridder regridder.xgcm.XGCMRegridder + mask.MaskAccessor .. currentmodule:: xarray @@ -129,6 +130,8 @@ Methods Dataset.temporal.departures Dataset.regridder.horizontal Dataset.regridder.vertical + Dataset.geomask.mask_land + Dataset.geomask.mask_sea .. _dsmeth_1: diff --git a/xcdat/mask.py b/xcdat/mask.py index db3baae0..ac6d73cd 100644 --- a/xcdat/mask.py +++ b/xcdat/mask.py @@ -1,6 +1,6 @@ from importlib import resources from pathlib import Path -from typing import Callable +from typing import Any, Callable import numpy as np import regionmask @@ -32,6 +32,7 @@ def mask_land( criteria: float | None = None, mask: xr.DataArray | None = None, output_mask: bool | str = False, + **options: Any, ): """Masks a data variable by sea. @@ -52,6 +53,9 @@ def mask_land( If True, returns the mask as a DataArray along with the masked dataset. If a string, the name of the mask variable to add to the dataset. By default False. + **options : Any + These options are passed directly to the ``method``. See specific + method documentation for available options. Returns ------- @@ -66,6 +70,7 @@ def mask_land( criteria=criteria, mask=mask, output_mask=output_mask, + **options, ) def mask_sea( @@ -75,6 +80,7 @@ def mask_sea( criteria: float | None = None, mask: xr.DataArray | None = None, output_mask: bool = False, + **options: Any, ): """Masks a data variable by land. @@ -95,6 +101,9 @@ def mask_sea( If True, returns the mask as a DataArray along with the masked dataset. If a string, the name of the mask variable to add to the dataset. By default False. + **options : Any + These options are passed directly to the ``method``. See specific + method documentation for available options. Returns ------- @@ -109,6 +118,7 @@ def mask_sea( criteria=criteria, mask=mask, output_mask=output_mask, + **options, ) @@ -120,6 +130,7 @@ def _mask( criteria: float | None = None, mask: xr.DataArray | None = None, output_mask: bool | str = False, + **options: Any, ) -> xr.Dataset: """Masks a data variable by land or sea. @@ -140,6 +151,8 @@ def _mask( mask : xr.DataArray | None, optional A custom mask to apply, by default None. If None, a mask is generated using the specified ``method``. + **options : Any + These options are passed directly to the ``method``. See :func:`pcmdi_land_sea_mask`. Returns ------- @@ -161,7 +174,7 @@ def _mask( da = _ds[data_var] if mask is None: - mask = generate_land_sea_mask(da, method) + mask = generate_land_sea_mask(da, method, **options) if keep == "sea": _ds[data_var] = da.where(mask <= (criteria or 0.2)) @@ -180,7 +193,7 @@ def _mask( def generate_land_sea_mask( - da: xr.DataArray, method: str = "regionmask" + da: xr.DataArray, method: str = "regionmask", **options: Any ) -> xr.DataArray: """Generate a land-sea mask. @@ -191,6 +204,9 @@ def generate_land_sea_mask( method : str, optional The method to use for generating the mask, by default "regionmask". Supported methods: "regionmask", "pcmdi". + **options : Any + These options are passed directly to the ``method``. See specific + method documentation for available options. Returns ------- @@ -224,12 +240,12 @@ def generate_land_sea_mask( land_sea_mask = xr.where(land_sea_mask, 0, 1) elif method == "pcmdi": - land_sea_mask = _pcmdi_land_sea_mask(da) + land_sea_mask = pcmdi_land_sea_mask(da, **options) return land_sea_mask -def _pcmdi_land_sea_mask( +def pcmdi_land_sea_mask( da: xr.DataArray, threshold1: float = 0.2, threshold2: float = 0.3, @@ -247,8 +263,6 @@ def _pcmdi_land_sea_mask( The first threshold for improving the mask, by default 0.2. threshold2 : float, optional The second threshold for improving the mask, by default 0.3. - mask_name : str, optional - The name of the mask variable, by default "lsmask". Returns ------- From b833cbdc4ad32eba66bad40cf254ccf97aad8246 Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Thu, 31 Jul 2025 14:36:53 -0700 Subject: [PATCH 11/23] Fixes missing import for MaskAccessor --- xcdat/__init__.py | 1 + 1 file changed, 1 insertion(+) diff --git a/xcdat/__init__.py b/xcdat/__init__.py index ec9c1e43..76cba1f5 100644 --- a/xcdat/__init__.py +++ b/xcdat/__init__.py @@ -24,5 +24,6 @@ from xcdat.spatial import SpatialAccessor # noqa: F401 from xcdat.temporal import TemporalAccessor # noqa: F401 from xcdat.utils import compare_datasets # noqa: F401 +from xcdat.mask import MaskAccessor # noqa: F401 __version__ = "0.10.1" From daffcbaaa62dc910ac76b495b83c6938a6c95d74 Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Fri, 1 Aug 2025 18:20:48 -0700 Subject: [PATCH 12/23] Changes function names and updates docstrings --- tests/test_mask.py | 18 +++---- xcdat/__init__.py | 2 +- xcdat/mask.py | 129 +++++++++++++++++++++++++++++++++++++++------ 3 files changed, 122 insertions(+), 27 deletions(-) diff --git a/tests/test_mask.py b/tests/test_mask.py index a2ed29ca..8fef3650 100644 --- a/tests/test_mask.py +++ b/tests/test_mask.py @@ -102,22 +102,22 @@ def test_accessor(ds): def test_mask_invalid_data_var(ds): with pytest.raises(KeyError): - mask._mask(ds, "tas") + mask.generate_mask(ds, "tas") def test_mask_invalid_keep(ds): with pytest.raises( ValueError, match=r"Keep value 'artic' is not valid, options are 'land, sea'" ): - mask._mask(ds, "ts", keep="artic") + mask.generate_mask(ds, "ts", keep="artic") def test_mask_output_mask(ds): - output = mask._mask(ds, "ts", output_mask=True) + output = mask.generate_mask(ds, "ts", output_mask=True) assert "ts_mask" in output - output = mask._mask(ds, "ts", output_mask="sea_mask") + output = mask.generate_mask(ds, "ts", output_mask="sea_mask") assert "sea_mask" in output @@ -144,7 +144,7 @@ def test_mask_fractional(ds): coords={"lat": ds.lat.copy(), "lon": ds.lon.copy(), "time": ds.time.copy()[0]}, ) - output = mask._mask(ds.isel(time=0), "ts", mask=custom_mask) + output = mask.generate_mask(ds.isel(time=0), "ts", mask=custom_mask) xr.testing.assert_allclose(output.ts, expected_sea) @@ -153,7 +153,7 @@ def test_mask_fractional(ds): expected_land = xr.where(expected_sea == 1, np.nan, expected_land) expected_land = xr.where(np.isnan(expected_sea), 1.0, np.nan) - output = mask._mask(ds.isel(time=0), "ts", keep="land", mask=custom_mask) + output = mask.generate_mask(ds.isel(time=0), "ts", keep="land", mask=custom_mask) xr.testing.assert_allclose(output.ts, expected_land) @@ -180,7 +180,7 @@ def test_mask_custom(ds): coords={"lat": ds.lat.copy(), "lon": ds.lon.copy(), "time": ds.time.copy()[0]}, ) - output = mask._mask(ds.isel(time=0), "ts", mask=custom_mask) + output = mask.generate_mask(ds.isel(time=0), "ts", mask=custom_mask) xr.testing.assert_allclose(output.ts, expected) @@ -192,7 +192,7 @@ def test_mask_land(ds): coords={"lat": ds.lat.copy(), "lon": ds.lon.copy(), "time": ds.time[0].copy()}, ) - output = mask._mask(ds.isel(time=0), "ts") + output = mask.generate_mask(ds.isel(time=0), "ts") xr.testing.assert_allclose(output.ts, expected) @@ -204,7 +204,7 @@ def test_mask_sea(ds): coords={"lat": ds.lat.copy(), "lon": ds.lon.copy(), "time": ds.time[0].copy()}, ) - output = mask._mask(ds.isel(time=0), "ts", keep="land") + output = mask.generate_mask(ds.isel(time=0), "ts", keep="land") xr.testing.assert_allclose(output.ts, expected) diff --git a/xcdat/__init__.py b/xcdat/__init__.py index 76cba1f5..4c1bf549 100644 --- a/xcdat/__init__.py +++ b/xcdat/__init__.py @@ -10,6 +10,7 @@ ) from xcdat.bounds import BoundsAccessor, create_bounds # noqa: F401 from xcdat.dataset import decode_time, open_dataset, open_mfdataset # noqa: F401 +from xcdat.mask import MaskAccessor # noqa: F401 from xcdat.regridder.accessor import RegridderAccessor # noqa: F401 from xcdat.regridder.grid import ( # noqa: F401 create_axis, @@ -24,6 +25,5 @@ from xcdat.spatial import SpatialAccessor # noqa: F401 from xcdat.temporal import TemporalAccessor # noqa: F401 from xcdat.utils import compare_datasets # noqa: F401 -from xcdat.mask import MaskAccessor # noqa: F401 __version__ = "0.10.1" diff --git a/xcdat/mask.py b/xcdat/mask.py index ac6d73cd..889d03d2 100644 --- a/xcdat/mask.py +++ b/xcdat/mask.py @@ -20,7 +20,28 @@ @xr.register_dataset_accessor("geomask") class MaskAccessor: - """A class for masking geographical data.""" + """ + An accessor class that provides masking methods on xarray + Datasets through the ``.geomask`` attribute. + + Examples + -------- + + >>> import xcdat + + Use MaskAccessor class: + + >>> ds = xcdat.open_dataset("/path/to/file") + >>> + >>> ds.geomask. + >>> ds.geomask. + >>> ds.geomask. + + Parameters + ---------- + ds : xr.Dataset + A Dataset object. + """ def __init__(self, ds: xr.Dataset): self._ds = ds @@ -34,7 +55,7 @@ def mask_land( output_mask: bool | str = False, **options: Any, ): - """Masks a data variable by sea. + """Masks a data variable by land. Parameters ---------- @@ -44,8 +65,8 @@ def mask_land( The masking method, by default "regionmask". Supported methods: "regionmask", "pcmdi". criteria : float | None, optional - The value to use as the criteria for masking, by default None. - If None, defaults to 0.2. + The value to use as the criteria for cell values that are considered + land, by default 0.2. mask : xr.DataArray | None, optional A custom mask to apply, by default None. If None, a mask is generated using the specified ``method``. @@ -55,14 +76,34 @@ def mask_land( dataset. By default False. **options : Any These options are passed directly to the ``method``. See specific - method documentation for available options. + method documentation for available options; :func:`pcmdi_land_sea_mask` for PCMDI options. Returns ------- xr.Dataset - The dataset with the data variable masked by sea. + The dataset with the data variable masked by land. + + Examples + -------- + + Mask a data variable by land using the default method (regionmask): + + >>> ds_masked = ds.geomask.mask_land("tas") + + Mask a data variable by land using the PCMDI method with custom criteria: + + >>> ds_masked = ds.geomask.mask_land("tas", method="pcmdi", criteria=0.3) + + Mask a data variable by land using a custom mask and output the mask: + + >>> custom_mask = xr.DataArray(...) # Define your custom mask here + >>> ds_masked = ds.geomask.mask_land("tas", mask=custom_mask, output_mask=True) + + Mask a data variable by land and add the mask to the dataset with a custom name: + + >>> ds_masked = ds.geomask.mask_land("tas", output_mask="land_mask") """ - return _mask( + return generate_mask( self._ds, data_var, method, @@ -82,7 +123,7 @@ def mask_sea( output_mask: bool = False, **options: Any, ): - """Masks a data variable by land. + """Masks a data variable by sea. Parameters ---------- @@ -92,8 +133,8 @@ def mask_sea( The masking method, by default "regionmask". Supported methods: "regionmask", "pcmdi". criteria : float | None, optional - The value to use as the criteria for masking, by default None. - If None, defaults to 0.8. + The value to use as the criteria for cell values that are considered + sea, by default 0.8. mask : xr.DataArray | None, optional A custom mask to apply, by default None. If None, a mask is generated using the specified ``method``. @@ -103,14 +144,34 @@ def mask_sea( dataset. By default False. **options : Any These options are passed directly to the ``method``. See specific - method documentation for available options. + method documentation for available options; :func:`pcmdi_land_sea_mask` for PCMDI options Returns ------- xr.Dataset - The dataset with the data variable masked by land. + The dataset with the data variable masked by sea. + + Examples + -------- + + Mask a data variable by sea using the default method (regionmask): + + >>> ds_masked = ds.geomask.mask_sea("tas") + + Mask a data variable by sea using the PCMDI method with custom criteria: + + >>> ds_masked = ds.geomask.mask_sea("tas", method="pcmdi", criteria=0.7) + + Mask a data variable by sea using a custom mask and output the mask: + + >>> custom_mask = xr.DataArray(...) # Define your custom mask here + >>> ds_masked = ds.geomask.mask_sea("tas", mask=custom_mask, output_mask=True) + + Mask a data variable by sea and add the mask to the dataset with a custom name: + + >>> ds_masked = ds.geomask.mask_sea("tas", output_mask="sea_mask") """ - return _mask( + return generate_mask( self._ds, data_var, method, @@ -122,7 +183,7 @@ def mask_sea( ) -def _mask( +def generate_mask( ds: xr.Dataset, data_var: str, method: str = "regionmask", @@ -132,7 +193,7 @@ def _mask( output_mask: bool | str = False, **options: Any, ) -> xr.Dataset: - """Masks a data variable by land or sea. + """Generate a land-sea mask and apply it to a data variable in a dataset. Parameters ---------- @@ -152,7 +213,7 @@ def _mask( A custom mask to apply, by default None. If None, a mask is generated using the specified ``method``. **options : Any - These options are passed directly to the ``method``. See :func:`pcmdi_land_sea_mask`. + These options are passed directly to the ``method``. See :func:`pcmdi_land_sea_mask` for PCMDI options. Returns ------- @@ -163,6 +224,22 @@ def _mask( ------ ValueError If `keep` is not "land" or "sea". + + Examples + -------- + + Mask a data variable by land using the default method (regionmask): + >>> ds_masked = generate_mask(ds, "tas", keep="sea") + + Mask a data variable by sea using the PCMDI method with custom criteria: + >>> ds_masked = generate_mask(ds, "tas", method="pcmdi", keep="land", criteria=0.7) + + Mask a data variable by land using a custom mask and output the mask: + >>> custom_mask = xr.DataArray(...) # Define your custom mask here + >>> ds_masked = generate_mask(ds, "tas", keep="sea", mask=custom_mask, output_mask=True) + + Mask a data variable by sea and add the mask to the dataset with a custom name: + >>> ds_masked = generate_mask(ds, "tas", keep="land", output_mask="land_mask") """ if keep not in VALID_KEEP: raise ValueError( @@ -206,7 +283,7 @@ def generate_land_sea_mask( Supported methods: "regionmask", "pcmdi". **options : Any These options are passed directly to the ``method``. See specific - method documentation for available options. + method documentation for available options; :func:`pcmdi_land_sea_mask` for PCMDI options Returns ------- @@ -225,6 +302,19 @@ def generate_land_sea_mask( History ------- 2023-06 The [original code](https://github.com/CDAT/cdutil/blob/master/cdutil/create_landsea_mask.py) was rewritten using xarray and xcdat by Jiwoo Lee + + Examples + -------- + + Generate a land-sea mask using the default method (regionmask): + + >>> import xcdat + >>> ds = xcdat.open_dataset("/path/to/file") + >>> land_sea_mask = xcdat.mask.generate_land_sea_mask(ds["tas"], method="regionmask") + + Generate a land-sea mask using the PCMDI method with custom options: + + >>> land_sea_mask = xcdat.mask.generate_land_sea_mask(ds["tas"], method="pcmdi", threshold1=0.3, threshold2=0.4) """ if method not in VALID_METHODS: raise ValueError( @@ -268,6 +358,11 @@ def pcmdi_land_sea_mask( ------- xr.DataArray The land-sea mask. + + Examples + -------- + + """ resource_path = str(_get_resource_path("navy_land.nc", Path.cwd())) From 20c1a58ac8720b45f9f9736dfaf368c808db700f Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Wed, 13 Aug 2025 22:00:55 -0700 Subject: [PATCH 13/23] Adds documentation section for module-level methods --- docs/api.rst | 11 +++++++++++ xcdat/mask.py | 4 ++-- 2 files changed, 13 insertions(+), 2 deletions(-) diff --git a/docs/api.rst b/docs/api.rst index caa80d62..a9d6bd48 100644 --- a/docs/api.rst +++ b/docs/api.rst @@ -39,6 +39,17 @@ Below is a list of top-level API functions that are available in ``xcdat``. create_zonal_grid tutorial.open_dataset +Module-level API Functions +-------------------------- + +Below is a list of model-level API functions that are available in ``xcdat``. + +.. autosummary:: + :toctree: generated/ + + mask.pcmdi_land_sea_mask + + Accessors --------- diff --git a/xcdat/mask.py b/xcdat/mask.py index 889d03d2..993e2c88 100644 --- a/xcdat/mask.py +++ b/xcdat/mask.py @@ -76,7 +76,7 @@ def mask_land( dataset. By default False. **options : Any These options are passed directly to the ``method``. See specific - method documentation for available options; :func:`pcmdi_land_sea_mask` for PCMDI options. + method documentation for available options; :func:`mask.pcmdi_land_sea_mask` for PCMDI options. Returns ------- @@ -144,7 +144,7 @@ def mask_sea( dataset. By default False. **options : Any These options are passed directly to the ``method``. See specific - method documentation for available options; :func:`pcmdi_land_sea_mask` for PCMDI options + method documentation for available options; :func:`mask.pcmdi_land_sea_mask` for PCMDI options Returns ------- From bbc39adf86ba62e658b7bfbc1e393c37751f7e7b Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Thu, 14 Aug 2025 14:15:11 -0700 Subject: [PATCH 14/23] Adds ability to define the source mask to use in the PCMDI land-sea mask generation --- tests/test_mask.py | 51 +++++++++++++++++++++++++++++++++++++-- xcdat/mask.py | 59 ++++++++++++++++++++++++++++++++++------------ 2 files changed, 93 insertions(+), 17 deletions(-) diff --git a/tests/test_mask.py b/tests/test_mask.py index 8fef3650..f7dbbdb8 100644 --- a/tests/test_mask.py +++ b/tests/test_mask.py @@ -252,8 +252,55 @@ def test_generate_land_sea_mask_pcmdi(ds): xr.testing.assert_equal(output, expected) +def test_pcmdi_land_sea_mask_custom_source(ds): + source = xr.DataArray( + [ + [0.1, 0.1, 0.9, 0.2], + [0.1, 0.9, 0.9, 0.1], + [0.0, 0.1, 0.9, 0.9], + [0.1, 0.1, 0.9, 0.1], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + attrs={"Conventions": "CF-1.0"}, + ).to_dataset(name="highres_mask") + + output = mask.pcmdi_land_sea_mask( + ds["ts"], source=source, source_data_var="highres_mask" + ) + + expected = xr.DataArray( + [[0, 0, 1, 0], [0, 1, 1, 0], [0, 0, 1, 1], [0, 0, 1, 0]], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + attrs={"Conventions": "CF-1.0"}, + ) + + xr.testing.assert_allclose(output, expected) + + +def test_pcmdi_land_sea_mask_custom_source_error(ds): + source = xr.DataArray( + [ + [0.1, 0.1, 0.9, 0.2], + [0.1, 0.9, 0.9, 0.1], + [0.0, 0.1, 0.9, 0.9], + [0.1, 0.1, 0.9, 0.1], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + attrs={"Conventions": "CF-1.0"}, + ).to_dataset(name="highres_mask") + + with pytest.raises( + ValueError, + match="The 'source_data_var' value cannot be None when using the 'source' option.", + ): + mask.pcmdi_land_sea_mask(ds["ts"], source=source) + + @mock.patch("xcdat.mask._improve_mask") -def test_generate_land_sea_mask_pcmdi_multiple_iterations(_improve_mask, ds): +def test_pcmdi_land_sea_mask_multiple_iterations(_improve_mask, ds): mask1 = xr.DataArray( [ [1, 1, 1, 1], @@ -292,7 +339,7 @@ def test_generate_land_sea_mask_pcmdi_multiple_iterations(_improve_mask, ds): coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, ) - output = mask.generate_land_sea_mask(ds["ts"], method="pcmdi") + output = mask.pcmdi_land_sea_mask(ds["ts"]) xr.testing.assert_equal(output, expected) diff --git a/xcdat/mask.py b/xcdat/mask.py index 993e2c88..5e7c50d8 100644 --- a/xcdat/mask.py +++ b/xcdat/mask.py @@ -339,6 +339,8 @@ def pcmdi_land_sea_mask( da: xr.DataArray, threshold1: float = 0.2, threshold2: float = 0.3, + source: xr.Dataset | None = None, + source_data_var: str | None = None, ) -> xr.DataArray: """Generate a land-sea mask using the PCMDI method. @@ -353,6 +355,10 @@ def pcmdi_land_sea_mask( The first threshold for improving the mask, by default 0.2. threshold2 : float, optional The second threshold for improving the mask, by default 0.3. + source : xr.Dataset | None, optional + The Dataset containing the variable to use as the high resolution source. + source_data_var : str | None, optional + Name of the variable in `source` to use as the high resolution source. Returns ------- @@ -362,24 +368,47 @@ def pcmdi_land_sea_mask( Examples -------- + Generate a land-sea mask using the PCMDI method: + >>> import xcdat + >>> ds = xcdat.open_dataset("/path/to/file") + >>> land_sea_mask = xcdat.mask.pcmdi_land_sea_mask(ds["tas"]) + + Generate a land-sea mask using the PCMDI method with custom thresholds: + + >>> land_sea_mask = xcdat.mask.pcmdi_land_sea_mask(ds["tas"], threshold1=0.3, threshold2=0.4) + + Generate a land-sea mask using the PCMDI method with a custom high resolution source: + + >>> highres_ds = xcdata.open_dataset("/path/to/file") + >>> land_sea_mask = xcdat.mask.pcmdi_land_sea_mask(ds["tas"], source=highres_ds, source_data_var="highres") """ - resource_path = str(_get_resource_path("navy_land.nc", Path.cwd())) + if source is not None and source_data_var is None: + raise ValueError( + "The 'source_data_var' value cannot be None when using the 'source' option." + ) + + if source is None: + source_data_var = "sftlf" - highres = open_dataset(resource_path) + resource_path = str(_get_resource_path("navy_land.nc", Path.cwd())) - highres_regrid = highres.regridder.horizontal( - "sftlf", obj_to_grid_ds(da), tool="regrid2" + source = open_dataset(resource_path) + + source_regrid = source.regridder.horizontal( + source_data_var, obj_to_grid_ds(da), tool="regrid2" ) - mask = highres_regrid.copy() - mask["sftlf"] = xr.where(highres_regrid.sftlf > 0.5, 1, 0).astype("i") + mask = source_regrid.copy() + mask[source_data_var] = xr.where(source_regrid[source_data_var] > 0.5, 1, 0).astype( + "i" + ) - lon = mask.sftlf.cf["X"] + lon = mask[source_data_var].cf["X"] lon_bnds = mask.bounds.get_bounds("X") is_circular = _is_circular(lon, lon_bnds) - surrounds = _generate_surrounds(mask.sftlf, is_circular) + surrounds = _generate_surrounds(mask[source_data_var], is_circular) i = 0 @@ -388,8 +417,8 @@ def pcmdi_land_sea_mask( improved_mask = _improve_mask( mask.copy(deep=True), - highres_regrid, - "sftlf", + source_regrid, + source_data_var, # type: ignore[arg-type] surrounds, is_circular, threshold1, @@ -403,7 +432,7 @@ def pcmdi_land_sea_mask( i += 1 - return mask["sftlf"] + return mask[source_data_var] def _get_resource_path(filename: str, default_path: Path | None = None) -> Path: @@ -610,9 +639,9 @@ def _convert_points( diff : xr.DataArray The difference between the source and an approximated mask. threshold1 : float - The first threshold for conversion. + Threshold for points in the `diff` DataArray. threshold2 : float - The second threshold for conversion. + Threshold for points in the `source` DataArray. is_circular : bool Whether the longitude axis is circular. surrounds : list[np.ndarray] @@ -627,16 +656,16 @@ def _convert_points( """ UL, UC, UR, ML, MR, LL, LC, LR = surrounds - flip_value = 0.0 mask_value = 1.0 compare_func: Callable if convert_land: compare_func = np.greater else: compare_func = np.less - flip_value = 1.0 mask_value = 0.0 + flip_value = abs(mask_value - 1.0) + c1 = compare_func(diff, threshold1) c2 = compare_func(source, threshold2) c = np.logical_and(c1, c2) From c0b488151d751c1ee5f367df1cc762db3aa8054a Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Thu, 14 Aug 2025 14:28:07 -0700 Subject: [PATCH 15/23] Fixes documentation function reference --- xcdat/mask.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/xcdat/mask.py b/xcdat/mask.py index 5e7c50d8..4b20718e 100644 --- a/xcdat/mask.py +++ b/xcdat/mask.py @@ -76,7 +76,7 @@ def mask_land( dataset. By default False. **options : Any These options are passed directly to the ``method``. See specific - method documentation for available options; :func:`mask.pcmdi_land_sea_mask` for PCMDI options. + method documentation for available options; :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options. Returns ------- @@ -144,7 +144,7 @@ def mask_sea( dataset. By default False. **options : Any These options are passed directly to the ``method``. See specific - method documentation for available options; :func:`mask.pcmdi_land_sea_mask` for PCMDI options + method documentation for available options; :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options Returns ------- @@ -213,7 +213,7 @@ def generate_mask( A custom mask to apply, by default None. If None, a mask is generated using the specified ``method``. **options : Any - These options are passed directly to the ``method``. See :func:`pcmdi_land_sea_mask` for PCMDI options. + These options are passed directly to the ``method``. See :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options. Returns ------- From 801be860fbc86525ede851aa44c6bf4f1a3f59d4 Mon Sep 17 00:00:00 2001 From: tomvothecoder Date: Wed, 17 Sep 2025 14:56:24 -0700 Subject: [PATCH 16/23] Refactor land-sea mask handling and documentation - Updated pcmdi_land_sea_mask() docstring and disabled time decoding for navy_land.nc - Replaced bundled navy_land.nc with pooch fetch-and-cache system - Removed mask_get_resource_path() and its tests - Added _data._get_pcmdi_mask_path() with corresponding tests - Updated environment configs to require pooch >=1.8 - Refreshed related docstrings --- conda-env/ci.yml | 2 +- conda-env/dev.yml | 2 +- pyproject.toml | 5 +- tests/test_data.py | 47 +++ tests/test_mask.py | 780 +++++++++++++++++------------------- xcdat/_data.py | 54 +++ xcdat/mask.py | 136 ++++--- xcdat/navy_land.nc | Bin 9409984 -> 0 bytes xcdat/regridder/accessor.py | 32 +- xcdat/regridder/grid.py | 2 +- 10 files changed, 580 insertions(+), 480 deletions(-) create mode 100644 tests/test_data.py create mode 100644 xcdat/_data.py delete mode 100755 xcdat/navy_land.nc diff --git a/conda-env/ci.yml b/conda-env/ci.yml index afbb78a6..46df8998 100644 --- a/conda-env/ci.yml +++ b/conda-env/ci.yml @@ -13,6 +13,7 @@ dependencies: - netcdf4 - numpy >=2.0.0,<3.0.0 - pandas + - pooch >=1.8 - python-dateutil - regionmask - scipy @@ -27,4 +28,3 @@ dependencies: # ================== - pytest - pytest-cov - - pooch # Required for xarray tutorial data diff --git a/conda-env/dev.yml b/conda-env/dev.yml index 2a93eb26..9cabb0d1 100644 --- a/conda-env/dev.yml +++ b/conda-env/dev.yml @@ -13,6 +13,7 @@ dependencies: - netcdf4 - numpy >=2.0.0,<3.0.0 - pandas + - pooch >=1.8 - python-dateutil - regionmask - scipy @@ -35,7 +36,6 @@ dependencies: - pandoc - ipython # Required for nbsphinx syntax highlighting - gsw-xarray # Required for vertical regridding example - - pooch # Required for xarray tutorial data # Quality Assurance # ================== - types-python-dateutil diff --git a/pyproject.toml b/pyproject.toml index 27a87132..8bfbbe80 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -28,6 +28,7 @@ dependencies = [ "netcdf4", "numpy >=2.0.0,<3.0.0", "pandas", + "pooch >=1.8", "python-dateutil", "regionmask", "scipy", @@ -53,16 +54,12 @@ docs = [ "pandoc", "ipython", "gsw-xarray", - "pooch", ] dev = ["types-python-dateutil", "pre-commit", "ruff", "mypy"] [tool.setuptools.packages.find] include = ["xcdat", "xcdat.*"] -[tool.setuptools.package-data] -"xcdat" = ["*.nc"] - [tool.setuptools.dynamic] version = { attr = "xcdat.__version__" } diff --git a/tests/test_data.py b/tests/test_data.py new file mode 100644 index 00000000..dba59787 --- /dev/null +++ b/tests/test_data.py @@ -0,0 +1,47 @@ +import pytest + +import xcdat._data as data + + +class TestGetPcmdiMaskPath: + def test_get_path_with_monkeypatch(self, tmp_path, monkeypatch): + """Simulate fetch without hitting network.""" + fake_file = tmp_path / "navy_land.nc" + fake_file.write_bytes(b"dummy") + + class DummyFetcher: + def fetch(self, rel): + return str(fake_file) + + monkeypatch.setattr(data.pooch, "create", lambda **kwargs: DummyFetcher()) + + path = data._get_pcmdi_mask_path() + + assert path.exists() + assert path.read_bytes() == b"dummy" + + @pytest.mark.network + def test_get_path_with_real_fetch(self, tmp_path, monkeypatch): + """Test fetching the file from the network.""" + # Override the XCDAT_DATA_DIR to use a temporary directory + monkeypatch.setenv("XCDAT_DATA_DIR", str(tmp_path)) + path = data._get_pcmdi_mask_path() + + assert path.exists() + assert path.stat().st_size > 1000 + + @pytest.mark.network + def test_get_path_from_cache(self, tmp_path, monkeypatch): + """Test fetching the file from the cache.""" + # Override the XCDAT_DATA_DIR to use a temporary directory + monkeypatch.setenv("XCDAT_DATA_DIR", str(tmp_path)) + + # First fetch to ensure the file is downloaded + path = data._get_pcmdi_mask_path() + assert path.exists() + initial_mtime = path.stat().st_mtime + + # Fetch again to ensure it uses the cached file + cached_path = data._get_pcmdi_mask_path() + assert cached_path.exists() + assert cached_path.stat().st_mtime == initial_mtime diff --git a/tests/test_mask.py b/tests/test_mask.py index f7dbbdb8..d01ef961 100644 --- a/tests/test_mask.py +++ b/tests/test_mask.py @@ -1,4 +1,3 @@ -import re import sys from unittest import mock @@ -70,410 +69,375 @@ def ds(): return fixtures.generate_dataset(True, True, True) -def test_accessor(ds): - expected_coords = { - "lat": ds.lat.copy(), - "lon": ds.lon.copy(), - "time": ds.time.copy()[0], - } - - sea_expected = xr.DataArray( - expected_land, - dims=("lat", "lon"), - coords=expected_coords, - ) - - land_expected = xr.DataArray( - expected_sea, - dims=("lat", "lon"), - coords=expected_coords, - ) - - ac = mask.MaskAccessor(ds.isel(time=0)) - - land_output = ac.mask_sea("ts") - - xr.testing.assert_allclose(land_output.ts, land_expected) - - sea_output = ac.mask_land("ts") - - xr.testing.assert_allclose(sea_output.ts, sea_expected) - - -def test_mask_invalid_data_var(ds): - with pytest.raises(KeyError): - mask.generate_mask(ds, "tas") - - -def test_mask_invalid_keep(ds): - with pytest.raises( - ValueError, match=r"Keep value 'artic' is not valid, options are 'land, sea'" - ): - mask.generate_mask(ds, "ts", keep="artic") - - -def test_mask_output_mask(ds): - output = mask.generate_mask(ds, "ts", output_mask=True) - - assert "ts_mask" in output - - output = mask.generate_mask(ds, "ts", output_mask="sea_mask") - - assert "sea_mask" in output - - -def test_mask_fractional(ds): - custom_mask = xr.DataArray( - [ - [0.1, 0.1, 0.1, 0.1], - [0.1, 0.9, 0.9, 0.1], - [0.1, 0.9, 0.9, 0.1], - [0.1, 0.1, 0.1, 0.1], - ], - dims=("lat", "lon"), - ) - - expected_sea = xr.DataArray( - [ - [1, 1, 1, 1], - [1, np.nan, np.nan, 1], - [1, np.nan, np.nan, 1], - [1, 1, 1, 1], - ], - dims=("lat", "lon"), - coords={"lat": ds.lat.copy(), "lon": ds.lon.copy(), "time": ds.time.copy()[0]}, - ) - - output = mask.generate_mask(ds.isel(time=0), "ts", mask=custom_mask) - - xr.testing.assert_allclose(output.ts, expected_sea) - - # invert expected - expected_land = expected_sea.copy() - expected_land = xr.where(expected_sea == 1, np.nan, expected_land) - expected_land = xr.where(np.isnan(expected_sea), 1.0, np.nan) - - output = mask.generate_mask(ds.isel(time=0), "ts", keep="land", mask=custom_mask) - - xr.testing.assert_allclose(output.ts, expected_land) - - -def test_mask_custom(ds): - custom_mask = xr.DataArray( - [ - [1, 0, 0, 1], - [1, 1, 1, 1], - [1, 1, 1, 1], - [1, 0, 0, 1], - ], - dims=("lat", "lon"), - ) - - expected = xr.DataArray( - [ - [np.nan, 1, 1, np.nan], - [np.nan, np.nan, np.nan, np.nan], - [np.nan, np.nan, np.nan, np.nan], - [np.nan, 1, 1, np.nan], - ], - dims=("lat", "lon"), - coords={"lat": ds.lat.copy(), "lon": ds.lon.copy(), "time": ds.time.copy()[0]}, - ) - - output = mask.generate_mask(ds.isel(time=0), "ts", mask=custom_mask) - - xr.testing.assert_allclose(output.ts, expected) - - -def test_mask_land(ds): - expected = xr.DataArray( - expected_land, - dims=("lat", "lon"), - coords={"lat": ds.lat.copy(), "lon": ds.lon.copy(), "time": ds.time[0].copy()}, - ) - - output = mask.generate_mask(ds.isel(time=0), "ts") - - xr.testing.assert_allclose(output.ts, expected) - - -def test_mask_sea(ds): - expected = xr.DataArray( - expected_sea, - dims=("lat", "lon"), - coords={"lat": ds.lat.copy(), "lon": ds.lon.copy(), "time": ds.time[0].copy()}, - ) - - output = mask.generate_mask(ds.isel(time=0), "ts", keep="land") - - xr.testing.assert_allclose(output.ts, expected) - - -def test_generate_land_sea_mask_invalid_method(ds): - with pytest.raises( - ValueError, - match=r"Method value 'custom' is not valid, options are 'regionmask, pcmdi'", - ): - mask.generate_land_sea_mask(ds["ts"], method="custom") - - -def test_generate_land_sea_mask_regionmask(ds): - expected = xr.DataArray( - [ - [1, 1, 1, 1], - [1, 1, 1, 1], - [0, 0, 0, 0], - [0, 0, 0, 0], - ], - dims=("lat", "lon"), - coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, - ) - - output = mask.generate_land_sea_mask(ds["ts"]) - - xr.testing.assert_allclose(output, expected) - - -def test_generate_land_sea_mask_pcmdi(ds): - expected = xr.DataArray( - [ - [1, 1, 1, 1], - [0, 0, 0, 0], - [1, 1, 0, 1], - [0, 0, 0, 0], - ], - dims=("lat", "lon"), - coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, - attrs={"Conventions": "CF-1.0"}, - ) - - output = mask.generate_land_sea_mask(ds["ts"], method="pcmdi") - - xr.testing.assert_equal(output, expected) - - -def test_pcmdi_land_sea_mask_custom_source(ds): - source = xr.DataArray( - [ - [0.1, 0.1, 0.9, 0.2], - [0.1, 0.9, 0.9, 0.1], - [0.0, 0.1, 0.9, 0.9], - [0.1, 0.1, 0.9, 0.1], - ], - dims=("lat", "lon"), - coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, - attrs={"Conventions": "CF-1.0"}, - ).to_dataset(name="highres_mask") - - output = mask.pcmdi_land_sea_mask( - ds["ts"], source=source, source_data_var="highres_mask" - ) - - expected = xr.DataArray( - [[0, 0, 1, 0], [0, 1, 1, 0], [0, 0, 1, 1], [0, 0, 1, 0]], - dims=("lat", "lon"), - coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, - attrs={"Conventions": "CF-1.0"}, - ) - - xr.testing.assert_allclose(output, expected) - - -def test_pcmdi_land_sea_mask_custom_source_error(ds): - source = xr.DataArray( - [ - [0.1, 0.1, 0.9, 0.2], - [0.1, 0.9, 0.9, 0.1], - [0.0, 0.1, 0.9, 0.9], - [0.1, 0.1, 0.9, 0.1], - ], - dims=("lat", "lon"), - coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, - attrs={"Conventions": "CF-1.0"}, - ).to_dataset(name="highres_mask") - - with pytest.raises( - ValueError, - match="The 'source_data_var' value cannot be None when using the 'source' option.", - ): - mask.pcmdi_land_sea_mask(ds["ts"], source=source) - - -@mock.patch("xcdat.mask._improve_mask") -def test_pcmdi_land_sea_mask_multiple_iterations(_improve_mask, ds): - mask1 = xr.DataArray( - [ - [1, 1, 1, 1], - [0, 0, 0, 0], - [1, 1, 0, 1], - [0, 0, 0, 0], - ], - dims=("lat", "lon"), - coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, - ) - mask2 = xr.DataArray( - [ - [1, 1, 1, 1], - [0, 0, 0, 0], - [1, 1, 1, 1], - [0, 0, 0, 0], - ], - dims=("lat", "lon"), - coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, - ) - - _improve_mask.side_effect = [ - xr.Dataset({"sftlf": mask1.copy()}), - xr.Dataset({"sftlf": mask2.copy()}), - xr.Dataset({"sftlf": mask2.copy()}), - ] - - expected = xr.DataArray( - [ - [1, 1, 1, 1], - [0, 0, 0, 0], - [1, 1, 1, 1], - [0, 0, 0, 0], - ], - dims=("lat", "lon"), - coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, - ) - - output = mask.pcmdi_land_sea_mask(ds["ts"]) - - xr.testing.assert_equal(output, expected) - - -def test_get_resource_path(monkeypatch, tmp_path): - mock_file = tmp_path / "navy_land.nc" - mock_file.touch() - - mock_as_file = mock.MagicMock() - mock_as_file.return_value.__enter__.return_value = mock_file - - monkeypatch.setattr(mask.resources, "as_file", mock_as_file) - - path = mask._get_resource_path("navy_land.nc") - - assert path == mock_file - - -def test_get_resource_path_fallback_from_exception(monkeypatch, tmp_path): - mock_file = tmp_path / "xcdat" / "navy_land.nc" - mock_file.parent.mkdir(parents=True, exist_ok=True) - mock_file.touch() - - mock_as_file = mock.MagicMock() - mock_as_file.side_effect = FileNotFoundError("Resource not found") - - monkeypatch.setattr(mask.resources, "as_file", mock_as_file) - - path = mask._get_resource_path("navy_land.nc", tmp_path) - - assert re.match(r".*xcdat/navy_land.nc", str(path)) - - -def test_get_resource_path_fallback_missing(monkeypatch, tmp_path): - mock_as_file = mock.MagicMock() - mock_as_file.side_effect = FileNotFoundError("Resource not found") - - monkeypatch.setattr(mask.resources, "as_file", mock_as_file) - - with pytest.raises( - RuntimeError, - match=r"Resource file 'navy_land.nc' not found in package or at .*", - ): - mask._get_resource_path("navy_land.nc", tmp_path) - - -def test_is_circular(): - # Circular - lon = xr.DataArray(data=np.array([0, 90, 180, 270]), dims=["lon"]) - lon_bnds = xr.DataArray( - data=np.array([[-45, 45], [45, 135], [135, 225], [225, 315]]), - dims=["lon", "bnds"], - ) - assert mask._is_circular(lon, lon_bnds) is True - - # Not circular - lon = xr.DataArray(data=np.array([0, 90, 180, 270]), dims=["lon"]) - lon_bnds = xr.DataArray( - data=np.array([[-45, 45], [45, 135], [135, 225], [225, 300]]), - dims=["lon", "bnds"], - ) - assert mask._is_circular(lon, lon_bnds) is False - - -def test_generate_surrounds_non_circular(source_da): - # surronds = mask._generate_surrounds(da, is_circular=False) - UL, UC, UR, ML, MR, LL, LC, LR = mask._generate_surrounds( - source_da, is_circular=False - ) - - np.testing.assert_array_equal(UC, source_da[2:, 1:-1]) - np.testing.assert_array_equal(LC, source_da[:-2, 1:-1]) - np.testing.assert_array_equal(ML, source_da[1:-1, :-2]) - np.testing.assert_array_equal(MR, source_da[1:-1, 2:]) - np.testing.assert_array_equal(UL, source_da[2:, :-2]) - np.testing.assert_array_equal(UR, source_da[2:, 2:]) - np.testing.assert_array_equal(LL, source_da[:-2, :-2]) - np.testing.assert_array_equal(LR, source_da[:-2, 2:]) - - -def test_generate_surrounds_circular(source_da): - UL, UC, UR, ML, MR, LL, LC, LR = mask._generate_surrounds( - source_da, is_circular=True - ) - - np.testing.assert_array_equal(UC, source_da[2:, :]) - np.testing.assert_array_equal(LC, source_da[:-2, :]) - np.testing.assert_array_equal(ML, np.roll(source_da[1:-1, :], 1, axis=1)) - np.testing.assert_array_equal(MR, np.roll(source_da[1:-1, :], -1, axis=1)) - np.testing.assert_array_equal(UL, np.roll(source_da[2:, :], 1, axis=1)) - np.testing.assert_array_equal(UR, np.roll(source_da[2:, :], -1, axis=1)) - np.testing.assert_array_equal(LL, np.roll(source_da[:-2, :], 1, axis=1)) - np.testing.assert_array_equal(LR, np.roll(source_da[:-2, :], -1, axis=1)) - - -def test_convert_points_to_land(mask_da, source_da, diff_da): - diff_da[1, 1] = 0.8 - - source_da[1, 1] = 0.4 - - surrounds = mask._generate_surrounds(source_da, is_circular=False) - - result = mask._convert_points( - mask_da, - source_da, - diff_da, - threshold1=0.2, - threshold2=0.3, - is_circular=False, - surrounds=surrounds, - convert_land=True, - ) - expected = mask_da.copy() - expected[1, 1] = 1.0 - xr.testing.assert_allclose(result, expected) - - -def test_convert_points_to_sea(mask_da, source_da, diff_da): - diff_da[2, 2] = -0.8 - - source_da[2, 2] = 0.6 - - surrounds = mask._generate_surrounds(source_da, is_circular=False) - - result = mask._convert_points( - mask_da, - source_da, - diff_da, - threshold1=-0.2, - threshold2=0.7, - is_circular=False, - surrounds=surrounds, - convert_land=False, - ) - expected = mask_da.copy() - expected[2, 2] = 0.0 - xr.testing.assert_allclose(result, expected) +class TestMaskAccessor: + def test_accessor(self, ds): + expected_coords = { + "lat": ds.lat.copy(), + "lon": ds.lon.copy(), + "time": ds.time.copy()[0], + } + + sea_expected = xr.DataArray( + expected_land, + dims=("lat", "lon"), + coords=expected_coords, + ) + + land_expected = xr.DataArray( + expected_sea, + dims=("lat", "lon"), + coords=expected_coords, + ) + + ac = mask.MaskAccessor(ds.isel(time=0)) + + land_output = ac.mask_sea("ts") + + xr.testing.assert_allclose(land_output.ts, land_expected) + + sea_output = ac.mask_land("ts") + + xr.testing.assert_allclose(sea_output.ts, sea_expected) + + +class TestMaskGeneration: + def test_mask_invalid_data_var(self, ds): + with pytest.raises(KeyError): + mask.generate_mask(ds, "tas") + + def test_mask_invalid_keep(self, ds): + with pytest.raises( + ValueError, + match=r"Keep value 'artic' is not valid, options are 'land, sea'", + ): + mask.generate_mask(ds, "ts", keep="artic") + + def test_mask_output_mask(self, ds): + output = mask.generate_mask(ds, "ts", output_mask=True) + + assert "ts_mask" in output + + output = mask.generate_mask(ds, "ts", output_mask="sea_mask") + + assert "sea_mask" in output + + def test_mask_fractional(self, ds): + custom_mask = xr.DataArray( + [ + [0.1, 0.1, 0.1, 0.1], + [0.1, 0.9, 0.9, 0.1], + [0.1, 0.9, 0.9, 0.1], + [0.1, 0.1, 0.1, 0.1], + ], + dims=("lat", "lon"), + ) + + expected_sea = xr.DataArray( + [ + [1, 1, 1, 1], + [1, np.nan, np.nan, 1], + [1, np.nan, np.nan, 1], + [1, 1, 1, 1], + ], + dims=("lat", "lon"), + coords={ + "lat": ds.lat.copy(), + "lon": ds.lon.copy(), + "time": ds.time.copy()[0], + }, + ) + + output = mask.generate_mask(ds.isel(time=0), "ts", mask=custom_mask) + + xr.testing.assert_allclose(output.ts, expected_sea) + + # invert expected + expected_land = expected_sea.copy() + expected_land = xr.where(expected_sea == 1, np.nan, expected_land) + expected_land = xr.where(np.isnan(expected_sea), 1.0, np.nan) + + output = mask.generate_mask( + ds.isel(time=0), "ts", keep="land", mask=custom_mask + ) + + xr.testing.assert_allclose(output.ts, expected_land) + + def test_mask_custom(self, ds): + custom_mask = xr.DataArray( + [ + [1, 0, 0, 1], + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 0, 0, 1], + ], + dims=("lat", "lon"), + ) + + expected = xr.DataArray( + [ + [np.nan, 1, 1, np.nan], + [np.nan, np.nan, np.nan, np.nan], + [np.nan, np.nan, np.nan, np.nan], + [np.nan, 1, 1, np.nan], + ], + dims=("lat", "lon"), + coords={ + "lat": ds.lat.copy(), + "lon": ds.lon.copy(), + "time": ds.time.copy()[0], + }, + ) + + output = mask.generate_mask(ds.isel(time=0), "ts", mask=custom_mask) + + xr.testing.assert_allclose(output.ts, expected) + + def test_mask_land(self, ds): + expected = xr.DataArray( + expected_land, + dims=("lat", "lon"), + coords={ + "lat": ds.lat.copy(), + "lon": ds.lon.copy(), + "time": ds.time[0].copy(), + }, + ) + + output = mask.generate_mask(ds.isel(time=0), "ts") + + xr.testing.assert_allclose(output.ts, expected) + + def test_mask_sea(self, ds): + expected = xr.DataArray( + expected_sea, + dims=("lat", "lon"), + coords={ + "lat": ds.lat.copy(), + "lon": ds.lon.copy(), + "time": ds.time[0].copy(), + }, + ) + + output = mask.generate_mask(ds.isel(time=0), "ts", keep="land") + + xr.testing.assert_allclose(output.ts, expected) + + +class TestLandSeaMask: + def test_generate_land_sea_mask_invalid_method(self, ds): + with pytest.raises( + ValueError, + match=r"Method value 'custom' is not valid, options are 'regionmask, pcmdi'", + ): + mask.generate_land_sea_mask(ds["ts"], method="custom") + + def test_generate_land_sea_mask_regionmask(self, ds): + expected = xr.DataArray( + [ + [1, 1, 1, 1], + [1, 1, 1, 1], + [0, 0, 0, 0], + [0, 0, 0, 0], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + ) + + output = mask.generate_land_sea_mask(ds["ts"]) + + xr.testing.assert_allclose(output, expected) + + def test_generate_land_sea_mask_pcmdi(self, ds): + expected = xr.DataArray( + [ + [1, 1, 1, 1], + [0, 0, 0, 0], + [1, 1, 0, 1], + [0, 0, 0, 0], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + attrs={"Conventions": "CF-1.0"}, + ) + + output = mask.generate_land_sea_mask(ds["ts"], method="pcmdi") + + xr.testing.assert_equal(output, expected) + + def test_pcmdi_land_sea_mask_custom_source(self, ds): + source = xr.DataArray( + [ + [0.1, 0.1, 0.9, 0.2], + [0.1, 0.9, 0.9, 0.1], + [0.0, 0.1, 0.9, 0.9], + [0.1, 0.1, 0.9, 0.1], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + attrs={"Conventions": "CF-1.0"}, + ).to_dataset(name="highres_mask") + + output = mask.pcmdi_land_sea_mask( + ds["ts"], source=source, source_data_var="highres_mask" + ) + + expected = xr.DataArray( + [[0, 0, 1, 0], [0, 1, 1, 0], [0, 0, 1, 1], [0, 0, 1, 0]], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + attrs={"Conventions": "CF-1.0"}, + ) + + xr.testing.assert_allclose(output, expected) + + def test_pcmdi_land_sea_mask_custom_source_error(self, ds): + source = xr.DataArray( + [ + [0.1, 0.1, 0.9, 0.2], + [0.1, 0.9, 0.9, 0.1], + [0.0, 0.1, 0.9, 0.9], + [0.1, 0.1, 0.9, 0.1], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + attrs={"Conventions": "CF-1.0"}, + ).to_dataset(name="highres_mask") + + with pytest.raises( + ValueError, + match="The 'source_data_var' value cannot be None when using the 'source' option.", + ): + mask.pcmdi_land_sea_mask(ds["ts"], source=source) + + @mock.patch("xcdat.mask._improve_mask") + def test_pcmdi_land_sea_mask_multiple_iterations(self, _improve_mask, ds): + mask1 = xr.DataArray( + [ + [1, 1, 1, 1], + [0, 0, 0, 0], + [1, 1, 0, 1], + [0, 0, 0, 0], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + ) + mask2 = xr.DataArray( + [ + [1, 1, 1, 1], + [0, 0, 0, 0], + [1, 1, 1, 1], + [0, 0, 0, 0], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + ) + + _improve_mask.side_effect = [ + xr.Dataset({"sftlf": mask1.copy()}), + xr.Dataset({"sftlf": mask2.copy()}), + xr.Dataset({"sftlf": mask2.copy()}), + ] + + expected = xr.DataArray( + [ + [1, 1, 1, 1], + [0, 0, 0, 0], + [1, 1, 1, 1], + [0, 0, 0, 0], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + ) + + output = mask.pcmdi_land_sea_mask(ds["ts"]) + + xr.testing.assert_equal(output, expected) + + +class TestUtilities: + def test_is_circular(self): + # Circular + lon = xr.DataArray(data=np.array([0, 90, 180, 270]), dims=["lon"]) + lon_bnds = xr.DataArray( + data=np.array([[-45, 45], [45, 135], [135, 225], [225, 315]]), + dims=["lon", "bnds"], + ) + assert mask._is_circular(lon, lon_bnds) is True + + # Not circular + lon = xr.DataArray(data=np.array([0, 90, 180, 270]), dims=["lon"]) + lon_bnds = xr.DataArray( + data=np.array([[-45, 45], [45, 135], [135, 225], [225, 300]]), + dims=["lon", "bnds"], + ) + assert mask._is_circular(lon, lon_bnds) is False + + def test_generate_surrounds_non_circular(self, source_da): + UL, UC, UR, ML, MR, LL, LC, LR = mask._generate_surrounds( + source_da, is_circular=False + ) + + np.testing.assert_array_equal(UC, source_da[2:, 1:-1]) + np.testing.assert_array_equal(LC, source_da[:-2, 1:-1]) + np.testing.assert_array_equal(ML, source_da[1:-1, :-2]) + np.testing.assert_array_equal(MR, source_da[1:-1, 2:]) + np.testing.assert_array_equal(UL, source_da[2:, :-2]) + np.testing.assert_array_equal(UR, source_da[2:, 2:]) + np.testing.assert_array_equal(LL, source_da[:-2, :-2]) + np.testing.assert_array_equal(LR, source_da[:-2, 2:]) + + def test_generate_surrounds_circular(self, source_da): + UL, UC, UR, ML, MR, LL, LC, LR = mask._generate_surrounds( + source_da, is_circular=True + ) + + np.testing.assert_array_equal(UC, source_da[2:, :]) + np.testing.assert_array_equal(LC, source_da[:-2, :]) + np.testing.assert_array_equal(ML, np.roll(source_da[1:-1, :], 1, axis=1)) + np.testing.assert_array_equal(MR, np.roll(source_da[1:-1, :], -1, axis=1)) + np.testing.assert_array_equal(UL, np.roll(source_da[2:, :], 1, axis=1)) + np.testing.assert_array_equal(UR, np.roll(source_da[2:, :], -1, axis=1)) + np.testing.assert_array_equal(LL, np.roll(source_da[:-2, :], 1, axis=1)) + np.testing.assert_array_equal(LR, np.roll(source_da[:-2, :], -1, axis=1)) + + def test_convert_points_to_land(self, mask_da, source_da, diff_da): + diff_da[1, 1] = 0.8 + + source_da[1, 1] = 0.4 + + surrounds = mask._generate_surrounds(source_da, is_circular=False) + + result = mask._convert_points( + mask_da, + source_da, + diff_da, + threshold1=0.2, + threshold2=0.3, + is_circular=False, + surrounds=surrounds, + convert_land=True, + ) + expected = mask_da.copy() + expected[1, 1] = 1.0 + xr.testing.assert_allclose(result, expected) + + def test_convert_points_to_sea(self, mask_da, source_da, diff_da): + diff_da[2, 2] = -0.8 + + source_da[2, 2] = 0.6 + + surrounds = mask._generate_surrounds(source_da, is_circular=False) + + result = mask._convert_points( + mask_da, + source_da, + diff_da, + threshold1=-0.2, + threshold2=0.7, + is_circular=False, + surrounds=surrounds, + convert_land=False, + ) + expected = mask_da.copy() + expected[2, 2] = 0.0 + xr.testing.assert_allclose(result, expected) diff --git a/xcdat/_data.py b/xcdat/_data.py new file mode 100644 index 00000000..6d9c0100 --- /dev/null +++ b/xcdat/_data.py @@ -0,0 +1,54 @@ +from pathlib import Path + +import pooch + +from xcdat._logger import _setup_custom_logger + +BASE_URL = "https://raw.githubusercontent.com/xCDAT/xcdat-data/main/resources/" + +REGISTRY = { + "navy_land.nc": "sha256:652dc16af076ee2c407cc627ac4787f365ed5d49ca011daf3ded7a652a8c5fce", +} + +logger = _setup_custom_logger(__name__) + + +def _get_pcmdi_mask_path() -> Path: + """ + Fetch and cache the canonical PCMDI land/sea mask from xcdat-data. + + This function ensures that the PCMDI land/sea mask is always available by + downloading it from the xcdat-data repository and caching it locally. The + cache is managed automatically by pooch. + + Caching behavior: + - Files are cached in the platform-specific cache directory + (e.g., ``~/.cache/xcdat`` on Linux/macOS, + ``%LOCALAPPDATA%\\xcdat\\Cache`` on Windows). + - The cache location can be overridden by setting the ``XCDAT_DATA_DIR`` + environment variable. + - Integrity is guaranteed by verifying a SHA256 checksum. + + For offline workflows, you can pre-download the mask with: + + >>> from xcdat._data import _get_pcmdi_mask_path + >>> path = _get_pcmdi_mask_path() + + Returns + ------- + Path + The path to the cached PCMDI land/sea mask file. + + References + ---------- + - [1] xcdat-data repository: https://github.com/xCDAT/xcdat-data + """ + fetcher = pooch.create( + path=pooch.os_cache("xcdat"), + base_url=BASE_URL, + registry=REGISTRY, + env="XCDAT_DATA_DIR", + ) + filepath = fetcher.fetch("navy_land.nc") + + return Path(filepath) diff --git a/xcdat/mask.py b/xcdat/mask.py index 4b20718e..1bab3b20 100644 --- a/xcdat/mask.py +++ b/xcdat/mask.py @@ -1,5 +1,3 @@ -from importlib import resources -from pathlib import Path from typing import Any, Callable import numpy as np @@ -7,9 +5,10 @@ import xarray as xr from xcdat import open_dataset +from xcdat._data import _get_pcmdi_mask_path from xcdat._logger import _setup_custom_logger from xcdat.axis import get_dim_coords -from xcdat.regridder.accessor import obj_to_grid_ds +from xcdat.regridder.accessor import _obj_to_grid_ds from xcdat.regridder.grid import create_grid logger = _setup_custom_logger(__name__) @@ -76,7 +75,8 @@ def mask_land( dataset. By default False. **options : Any These options are passed directly to the ``method``. See specific - method documentation for available options; :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options. + method documentation for available options: + :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options. Returns ------- @@ -144,7 +144,8 @@ def mask_sea( dataset. By default False. **options : Any These options are passed directly to the ``method``. See specific - method documentation for available options; :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options + method documentation for available options: + :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options Returns ------- @@ -213,7 +214,8 @@ def generate_mask( A custom mask to apply, by default None. If None, a mask is generated using the specified ``method``. **options : Any - These options are passed directly to the ``method``. See :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options. + These options are passed directly to the ``method``. See + :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options. Returns ------- @@ -283,7 +285,8 @@ def generate_land_sea_mask( Supported methods: "regionmask", "pcmdi". **options : Any These options are passed directly to the ``method``. See specific - method documentation for available options; :func:`pcmdi_land_sea_mask` for PCMDI options + method documentation for available options: + :func:`pcmdi_land_sea_mask` for PCMDI options Returns ------- @@ -301,7 +304,8 @@ def generate_land_sea_mask( History ------- - 2023-06 The [original code](https://github.com/CDAT/cdutil/blob/master/cdutil/create_landsea_mask.py) was rewritten using xarray and xcdat by Jiwoo Lee + 2023-06 The [original code](https://github.com/CDAT/cdutil/blob/master/ + cdutil/create_landsea_mask.py) was rewritten using xarray and xcdat by Jiwoo Lee Examples -------- @@ -310,11 +314,13 @@ def generate_land_sea_mask( >>> import xcdat >>> ds = xcdat.open_dataset("/path/to/file") - >>> land_sea_mask = xcdat.mask.generate_land_sea_mask(ds["tas"], method="regionmask") + >>> mask = xcdat.mask.generate_land_sea_mask(ds["tas"], method="regionmask") Generate a land-sea mask using the PCMDI method with custom options: - >>> land_sea_mask = xcdat.mask.generate_land_sea_mask(ds["tas"], method="pcmdi", threshold1=0.3, threshold2=0.4) + >>> mask = xcdat.mask.generate_land_sea_mask( + ... ds["tas"], method="pcmdi", threshold1=0.3, threshold2=0.4 + ... ) """ if method not in VALID_METHODS: raise ValueError( @@ -342,10 +348,12 @@ def pcmdi_land_sea_mask( source: xr.Dataset | None = None, source_data_var: str | None = None, ) -> xr.DataArray: - """Generate a land-sea mask using the PCMDI method. + """ + Generate a land-sea mask using the PCMDI method. This method uses a high-resolution land-sea mask and regrids it to the - resolution of the input DataArray. It then iteratively improves the mask. + resolution of the input DataArray. It then iteratively improves the mask + based on specified thresholds. Parameters ---------- @@ -356,18 +364,42 @@ def pcmdi_land_sea_mask( threshold2 : float, optional The second threshold for improving the mask, by default 0.3. source : xr.Dataset | None, optional - The Dataset containing the variable to use as the high resolution source. + A custom Dataset containing the variable to use as the high-resolution + source. If not provided, a default high-resolution land-sea mask is used. source_data_var : str | None, optional - Name of the variable in `source` to use as the high resolution source. + The name of the variable in `source` to use as the high-resolution + source. If `source` is not provided, this defaults to "sftlf". Returns ------- xr.DataArray - The land-sea mask. + The generated land-sea mask. + + Raises + ------ + ValueError + If `source` is provided but `source_data_var` is None. + + Notes + ----- + By default, the ``navy_land.nc`` file is used as the high-resolution land–sea + mask. This file is distributed by the [1]_ PCMDI (Program for Climate Model + Diagnosis and Intercomparison) Metrics Package, and is derived from the U.S. + Navy 1/6° land–sea mask dataset. + + If ``source`` is not provided, the ``navy_land.nc`` file is automatically + downloaded and cached from the `xcdat-data` repository: + https://github.com/xCDAT/xcdat-data. + + For more information on caching behavior, refer to the + :py:func:`xcdat._data._get_pcmdi_mask_path()` function. + + References + ---------- + .. [1] https://github.com/PCMDI/pcmdi_metrics/blob/main/ Examples -------- - Generate a land-sea mask using the PCMDI method: >>> import xcdat @@ -376,12 +408,21 @@ def pcmdi_land_sea_mask( Generate a land-sea mask using the PCMDI method with custom thresholds: - >>> land_sea_mask = xcdat.mask.pcmdi_land_sea_mask(ds["tas"], threshold1=0.3, threshold2=0.4) + >>> land_sea_mask = xcdat.mask.pcmdi_land_sea_mask( + ... ds["tas"], threshold1=0.3, threshold2=0.4 + ... ) + + Generate a land-sea mask using the PCMDI method with a custom high-res source: - Generate a land-sea mask using the PCMDI method with a custom high resolution source: + >>> highres_ds = xcdat.open_dataset("/path/to/file") + >>> land_sea_mask = xcdat.mask.pcmdi_land_sea_mask( + ... ds["tas"], source=highres_ds, source_data_var="highres" + ... ) - >>> highres_ds = xcdata.open_dataset("/path/to/file") - >>> land_sea_mask = xcdat.mask.pcmdi_land_sea_mask(ds["tas"], source=highres_ds, source_data_var="highres") + For offline workflows, you can pre-download the mask with: + + >>> from xcdat._data import _get_pcmdi_mask_path + >>> path = _get_pcmdi_mask_path() """ if source is not None and source_data_var is None: raise ValueError( @@ -391,12 +432,14 @@ def pcmdi_land_sea_mask( if source is None: source_data_var = "sftlf" - resource_path = str(_get_resource_path("navy_land.nc", Path.cwd())) + resource_path = _get_pcmdi_mask_path() - source = open_dataset(resource_path) + # Turn off time decoding to prevent logger warning since this dataset + # does not have a time axis. + source = open_dataset(resource_path, decode_times=False) source_regrid = source.regridder.horizontal( - source_data_var, obj_to_grid_ds(da), tool="regrid2" + source_data_var, _obj_to_grid_ds(da), tool="regrid2" ) mask = source_regrid.copy() @@ -435,44 +478,6 @@ def pcmdi_land_sea_mask( return mask[source_data_var] -def _get_resource_path(filename: str, default_path: Path | None = None) -> Path: - """Get the path to a resource file. - - Parameters - ---------- - filename : str - The name of the resource file. - - Returns - ------- - Path - The path to the resource file. - """ - if default_path is None: - default_path = Path.cwd() - - resource_path: Path | None = None - - try: - with resources.as_file(resources.files("xcdat").joinpath(filename)) as x: - resource_path = x - except (ModuleNotFoundError, FileNotFoundError) as e: - logger.warning(e) - resource_path = None - - if resource_path and resource_path.exists(): - return resource_path - - resource_path = default_path / "xcdat" / filename - - if not resource_path.exists(): - raise RuntimeError( - f"Resource file {filename!r} not found in package or at {resource_path!s}." - ) - - return resource_path - - def _is_circular(lon: xr.DataArray, lon_bnds: xr.DataArray) -> bool: """Check if a longitude axis is circular. @@ -511,6 +516,11 @@ def _improve_mask( This function improves a land-sea mask by converting points based on their surrounding values and a source mask. + It is useful for enhancing the accuracy of land-sea masks, which are often + used in climate modeling and geospatial analysis. By considering surrounding + points and thresholds, it ensures smoother transitions and corrects + discrepancies between the mask and the source dataset. + Parameters ---------- mask : xr.Dataset @@ -700,8 +710,8 @@ def _generate_surrounds(da: xr.DataArray, is_circular: bool) -> list[np.ndarray] """Generate surrounding points for each point in a DataArray. This function returns a list of 8 arrays, each representing the - values of the 8 surrounding points (UL, UC, UR, ML, MR, LL, LC, LR) - for each point in the input DataArray. + values of the 8 surrounding points (UL, UC, UR, ML, MR, LL, LC, LR) for each + point in the input DataArray. 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If bounds are missing for an axis, they are added to the + output Dataset. + + Parameters + ---------- + obj : xr.Dataset or xr.DataArray + The input xarray object containing the data and attributes. + + Returns + ------- + xr.Dataset + A new xarray Dataset containing the axis coordinates, bounds, and + attributes from the input object. + + Notes + ----- + - The function ensures that bounds are only added for axes that do not + already have them. This avoids duplicating bounds for axes with + multiple coordinates (e.g., curvilinear grids). + - The `xr.set_options(keep_attrs=True)` context is used to preserve + attributes from the input object in the output Dataset. + """ axis_names: list[CFAxisKey] = ["X", "Y", "Z"] axis_coords: dict[str, xr.DataArray] = {} diff --git a/xcdat/regridder/grid.py b/xcdat/regridder/grid.py index 1ee911e2..0c9279ea 100644 --- a/xcdat/regridder/grid.py +++ b/xcdat/regridder/grid.py @@ -118,7 +118,7 @@ def _create_gaussian_axis(nlats: int) -> tuple[xr.DataArray, xr.DataArray]: points, weights = _gaussian_axis(mid, nlats) - bounds = np.zeros((nlats + 1), dtype="f") + bounds = np.zeros((nlats + 1), dtype="float32") bounds[0], bounds[-1] = 1.0, -1.0 for i in range(1, mid + 1): From a08548ec88cdc58d105ce5e350d5d56168461581 Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Mon, 29 Sep 2025 21:41:06 -0700 Subject: [PATCH 17/23] Moves land/sea mask from geomask to spatial accessor, exposes generate method --- docs/api.rst | 6 +- tests/test_mask.py | 75 +++++++++++------- xcdat/__init__.py | 1 - xcdat/mask.py | 169 +--------------------------------------- xcdat/spatial.py | 189 ++++++++++++++++++++++++++++++++++++++++++++- 5 files changed, 241 insertions(+), 199 deletions(-) diff --git a/docs/api.rst b/docs/api.rst index a9d6bd48..318a1db2 100644 --- a/docs/api.rst +++ b/docs/api.rst @@ -106,7 +106,6 @@ Classes regridder.regrid2.Regrid2Regridder regridder.xesmf.XESMFRegridder regridder.xgcm.XGCMRegridder - mask.MaskAccessor .. currentmodule:: xarray @@ -135,14 +134,15 @@ Methods Dataset.bounds.get_bounds Dataset.bounds.add_missing_bounds Dataset.spatial.average + Dataset.spatial.mask_land + Dataset.spatial.mask_sea + Dataset.spatial.generate_land_sea_mask Dataset.temporal.average Dataset.temporal.group_average Dataset.temporal.climatology Dataset.temporal.departures Dataset.regridder.horizontal Dataset.regridder.vertical - Dataset.geomask.mask_land - Dataset.geomask.mask_sea .. _dsmeth_1: diff --git a/tests/test_mask.py b/tests/test_mask.py index d01ef961..fb8df7df 100644 --- a/tests/test_mask.py +++ b/tests/test_mask.py @@ -69,55 +69,72 @@ def ds(): return fixtures.generate_dataset(True, True, True) -class TestMaskAccessor: - def test_accessor(self, ds): - expected_coords = { - "lat": ds.lat.copy(), - "lon": ds.lon.copy(), - "time": ds.time.copy()[0], - } - - sea_expected = xr.DataArray( +class TestMask: + def test_mask_land(self, ds): + expected = xr.DataArray( expected_land, dims=("lat", "lon"), - coords=expected_coords, + coords={ + "lat": ds.lat.copy(), + "lon": ds.lon.copy(), + "time": ds.time[0].copy(), + }, ) - land_expected = xr.DataArray( + output = ds.isel(time=0).spatial.mask_land("ts") + + xr.testing.assert_allclose(output.ts, expected) + + def test_mask_sea(self, ds): + expected = xr.DataArray( expected_sea, dims=("lat", "lon"), - coords=expected_coords, + coords={ + "lat": ds.lat.copy(), + "lon": ds.lon.copy(), + "time": ds.time[0].copy(), + }, ) - ac = mask.MaskAccessor(ds.isel(time=0)) + output = ds.isel(time=0).spatial.mask_sea("ts") - land_output = ac.mask_sea("ts") + xr.testing.assert_allclose(output.ts, expected) - xr.testing.assert_allclose(land_output.ts, land_expected) + def test_generate_land_sea_mask(self, ds): + expected = xr.DataArray( + [ + [1, 1, 1, 1], + [1, 1, 1, 1], + [0, 0, 0, 0], + [0, 0, 0, 0], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + ) - sea_output = ac.mask_land("ts") + output = ds.spatial.generate_land_sea_mask("ts") - xr.testing.assert_allclose(sea_output.ts, sea_expected) + xr.testing.assert_allclose(output, expected) class TestMaskGeneration: def test_mask_invalid_data_var(self, ds): with pytest.raises(KeyError): - mask.generate_mask(ds, "tas") + mask.generate_and_apply_land_sea_mask(ds, "tas") def test_mask_invalid_keep(self, ds): with pytest.raises( ValueError, match=r"Keep value 'artic' is not valid, options are 'land, sea'", ): - mask.generate_mask(ds, "ts", keep="artic") + mask.generate_and_apply_land_sea_mask(ds, "ts", keep="artic") def test_mask_output_mask(self, ds): - output = mask.generate_mask(ds, "ts", output_mask=True) + output = mask.generate_and_apply_land_sea_mask(ds, "ts", output_mask=True) assert "ts_mask" in output - output = mask.generate_mask(ds, "ts", output_mask="sea_mask") + output = mask.generate_and_apply_land_sea_mask(ds, "ts", output_mask="sea_mask") assert "sea_mask" in output @@ -147,7 +164,9 @@ def test_mask_fractional(self, ds): }, ) - output = mask.generate_mask(ds.isel(time=0), "ts", mask=custom_mask) + output = mask.generate_and_apply_land_sea_mask( + ds.isel(time=0), "ts", mask=custom_mask + ) xr.testing.assert_allclose(output.ts, expected_sea) @@ -156,7 +175,7 @@ def test_mask_fractional(self, ds): expected_land = xr.where(expected_sea == 1, np.nan, expected_land) expected_land = xr.where(np.isnan(expected_sea), 1.0, np.nan) - output = mask.generate_mask( + output = mask.generate_and_apply_land_sea_mask( ds.isel(time=0), "ts", keep="land", mask=custom_mask ) @@ -188,7 +207,9 @@ def test_mask_custom(self, ds): }, ) - output = mask.generate_mask(ds.isel(time=0), "ts", mask=custom_mask) + output = mask.generate_and_apply_land_sea_mask( + ds.isel(time=0), "ts", mask=custom_mask + ) xr.testing.assert_allclose(output.ts, expected) @@ -203,7 +224,7 @@ def test_mask_land(self, ds): }, ) - output = mask.generate_mask(ds.isel(time=0), "ts") + output = mask.generate_and_apply_land_sea_mask(ds.isel(time=0), "ts") xr.testing.assert_allclose(output.ts, expected) @@ -218,7 +239,9 @@ def test_mask_sea(self, ds): }, ) - output = mask.generate_mask(ds.isel(time=0), "ts", keep="land") + output = mask.generate_and_apply_land_sea_mask( + ds.isel(time=0), "ts", keep="land" + ) xr.testing.assert_allclose(output.ts, expected) diff --git a/xcdat/__init__.py b/xcdat/__init__.py index 4c1bf549..ec9c1e43 100644 --- a/xcdat/__init__.py +++ b/xcdat/__init__.py @@ -10,7 +10,6 @@ ) from xcdat.bounds import BoundsAccessor, create_bounds # noqa: F401 from xcdat.dataset import decode_time, open_dataset, open_mfdataset # noqa: F401 -from xcdat.mask import MaskAccessor # noqa: F401 from xcdat.regridder.accessor import RegridderAccessor # noqa: F401 from xcdat.regridder.grid import ( # noqa: F401 create_axis, diff --git a/xcdat/mask.py b/xcdat/mask.py index 1bab3b20..9fe60daa 100644 --- a/xcdat/mask.py +++ b/xcdat/mask.py @@ -17,174 +17,7 @@ VALID_KEEP: list[str] = ["land", "sea"] -@xr.register_dataset_accessor("geomask") -class MaskAccessor: - """ - An accessor class that provides masking methods on xarray - Datasets through the ``.geomask`` attribute. - - Examples - -------- - - >>> import xcdat - - Use MaskAccessor class: - - >>> ds = xcdat.open_dataset("/path/to/file") - >>> - >>> ds.geomask. - >>> ds.geomask. - >>> ds.geomask. - - Parameters - ---------- - ds : xr.Dataset - A Dataset object. - """ - - def __init__(self, ds: xr.Dataset): - self._ds = ds - - def mask_land( - self, - data_var: str, - method: str = "regionmask", - criteria: float | None = None, - mask: xr.DataArray | None = None, - output_mask: bool | str = False, - **options: Any, - ): - """Masks a data variable by land. - - Parameters - ---------- - data_var : str - The key of the data variable to mask. - method : str, optional - The masking method, by default "regionmask". - Supported methods: "regionmask", "pcmdi". - criteria : float | None, optional - The value to use as the criteria for cell values that are considered - land, by default 0.2. - mask : xr.DataArray | None, optional - A custom mask to apply, by default None. If None, a mask is - generated using the specified ``method``. - output_mask : bool | str, optional - If True, returns the mask as a DataArray along with the masked - dataset. If a string, the name of the mask variable to add to the - dataset. By default False. - **options : Any - These options are passed directly to the ``method``. See specific - method documentation for available options: - :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options. - - Returns - ------- - xr.Dataset - The dataset with the data variable masked by land. - - Examples - -------- - - Mask a data variable by land using the default method (regionmask): - - >>> ds_masked = ds.geomask.mask_land("tas") - - Mask a data variable by land using the PCMDI method with custom criteria: - - >>> ds_masked = ds.geomask.mask_land("tas", method="pcmdi", criteria=0.3) - - Mask a data variable by land using a custom mask and output the mask: - - >>> custom_mask = xr.DataArray(...) # Define your custom mask here - >>> ds_masked = ds.geomask.mask_land("tas", mask=custom_mask, output_mask=True) - - Mask a data variable by land and add the mask to the dataset with a custom name: - - >>> ds_masked = ds.geomask.mask_land("tas", output_mask="land_mask") - """ - return generate_mask( - self._ds, - data_var, - method, - keep="sea", - criteria=criteria, - mask=mask, - output_mask=output_mask, - **options, - ) - - def mask_sea( - self, - data_var: str, - method: str = "regionmask", - criteria: float | None = None, - mask: xr.DataArray | None = None, - output_mask: bool = False, - **options: Any, - ): - """Masks a data variable by sea. - - Parameters - ---------- - data_var : str - The key of the data variable to mask. - method : str, optional - The masking method, by default "regionmask". - Supported methods: "regionmask", "pcmdi". - criteria : float | None, optional - The value to use as the criteria for cell values that are considered - sea, by default 0.8. - mask : xr.DataArray | None, optional - A custom mask to apply, by default None. If None, a mask is - generated using the specified ``method``. - output_mask : bool | str, optional - If True, returns the mask as a DataArray along with the masked - dataset. If a string, the name of the mask variable to add to the - dataset. By default False. - **options : Any - These options are passed directly to the ``method``. See specific - method documentation for available options: - :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options - - Returns - ------- - xr.Dataset - The dataset with the data variable masked by sea. - - Examples - -------- - - Mask a data variable by sea using the default method (regionmask): - - >>> ds_masked = ds.geomask.mask_sea("tas") - - Mask a data variable by sea using the PCMDI method with custom criteria: - - >>> ds_masked = ds.geomask.mask_sea("tas", method="pcmdi", criteria=0.7) - - Mask a data variable by sea using a custom mask and output the mask: - - >>> custom_mask = xr.DataArray(...) # Define your custom mask here - >>> ds_masked = ds.geomask.mask_sea("tas", mask=custom_mask, output_mask=True) - - Mask a data variable by sea and add the mask to the dataset with a custom name: - - >>> ds_masked = ds.geomask.mask_sea("tas", output_mask="sea_mask") - """ - return generate_mask( - self._ds, - data_var, - method, - keep="land", - criteria=criteria, - mask=mask, - output_mask=output_mask, - **options, - ) - - -def generate_mask( +def generate_and_apply_land_sea_mask( ds: xr.Dataset, data_var: str, method: str = "regionmask", diff --git a/xcdat/spatial.py b/xcdat/spatial.py index 50dd4dc2..bf49bea9 100644 --- a/xcdat/spatial.py +++ b/xcdat/spatial.py @@ -2,7 +2,7 @@ from collections.abc import Callable, Hashable from functools import reduce -from typing import Literal, TypedDict, get_args +from typing import Any, Literal, TypedDict, get_args import cf_xarray # noqa: F401 import numpy as np @@ -15,6 +15,10 @@ get_dim_keys, ) from xcdat.dataset import _get_data_var +from xcdat.mask import ( + generate_and_apply_land_sea_mask, + generate_land_sea_mask, +) from xcdat.utils import ( _get_masked_weights, _if_multidim_dask_array_then_load, @@ -60,6 +64,189 @@ class SpatialAccessor: def __init__(self, dataset: xr.Dataset): self._dataset: xr.Dataset = dataset + def mask_land( + self, + data_var: str, + method: str = "regionmask", + criteria: float | None = None, + mask: xr.DataArray | None = None, + output_mask: bool | str = False, + **options: Any, + ): + """ + Masks a data variable by land. + + Parameters + ---------- + data_var : str + The key of the data variable to mask. + method : str, optional + The masking method, by default "regionmask". + Supported methods: "regionmask", "pcmdi". + criteria : float | None, optional + The value to use as the criteria for cell values that are considered + land, by default 0.2. + mask : xr.DataArray | None, optional + A custom mask to apply, by default None. If None, a mask is + generated using the specified ``method``. + output_mask : bool | str, optional + If True, returns the mask as a DataArray along with the masked + dataset. If a string, the name of the mask variable to add to the + dataset. By default False. + **options : Any + These options are passed directly to the ``method``. See specific + method documentation for available options: + :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options. + + Returns + ------- + xr.Dataset + The dataset with the data variable masked by land. + + Examples + -------- + + Mask a data variable by land using the default method (regionmask): + + >>> ds_masked = ds.spatial.mask_land("tas") + + Mask a data variable by land using the PCMDI method with custom criteria: + + >>> ds_masked = ds.spatial.mask_land("tas", method="pcmdi", criteria=0.3) + + Mask a data variable by land using a custom mask and output the mask: + + >>> custom_mask = xr.DataArray(...) # Define your custom mask here + >>> ds_masked = ds.spatial.mask_land("tas", mask=custom_mask, output_mask=True) + + Mask a data variable by land and add the mask to the dataset with a custom name: + + >>> ds_masked = ds.spatial.mask_land("tas", output_mask="land_mask") + """ + return generate_and_apply_land_sea_mask( + self._dataset, + data_var, + method, + keep="sea", + criteria=criteria, + mask=mask, + output_mask=output_mask, + **options, + ) + + def mask_sea( + self, + data_var: str, + method: str = "regionmask", + criteria: float | None = None, + mask: xr.DataArray | None = None, + output_mask: bool = False, + **options: Any, + ): + """ + Masks a data variable by sea. + + Parameters + ---------- + data_var : str + The key of the data variable to mask. + method : str, optional + The masking method, by default "regionmask". + Supported methods: "regionmask", "pcmdi". + criteria : float | None, optional + The value to use as the criteria for cell values that are considered + sea, by default 0.8. + mask : xr.DataArray | None, optional + A custom mask to apply, by default None. If None, a mask is + generated using the specified ``method``. + output_mask : bool | str, optional + If True, returns the mask as a DataArray along with the masked + dataset. If a string, the name of the mask variable to add to the + dataset. By default False. + **options : Any + These options are passed directly to the ``method``. See specific + method documentation for available options: + :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options + + Returns + ------- + xr.Dataset + The dataset with the data variable masked by sea. + + Examples + -------- + + Mask a data variable by sea using the default method (regionmask): + + >>> ds_masked = ds.spatial.mask_sea("tas") + + Mask a data variable by sea using the PCMDI method with custom criteria: + + >>> ds_masked = ds.spatial.mask_sea("tas", method="pcmdi", criteria=0.7) + + Mask a data variable by sea using a custom mask and output the mask: + + >>> custom_mask = xr.DataArray(...) # Define your custom mask here + >>> ds_masked = ds.spatial.mask_sea("tas", mask=custom_mask, output_mask=True) + + Mask a data variable by sea and add the mask to the dataset with a custom name: + + >>> ds_masked = ds.spatial.mask_sea("tas", output_mask="sea_mask") + """ + return generate_and_apply_land_sea_mask( + self._dataset, + data_var, + method, + keep="land", + criteria=criteria, + mask=mask, + output_mask=output_mask, + **options, + ) + + def generate_land_sea_mask( + self, + data_var: str, + method: str = "regionmask", + **options: Any, + ) -> xr.DataArray: + """ + Generate a land-sea mask. + + Parameters + ---------- + data_var : str + Name of the variable to generate land/sea mask from. + method : str, optional + The method to use for generating the mask, by default "regionmask". + Supported methods: "regionmask", "pcmdi". + **options : Any + These options are passed directly to the ``method``. See specific + method documentation for available options: + :func:`xcdat.mask.pcmdi_land_sea_mask` for PCMDI options + + Returns + ------- + xr.DataArray + The land/sea mask. + + Examples + -------- + + Generate a mask using the default method (regionmask): + + >>> mask = ds.spatial.generate_land_sea_mask("tas") + + Generate a mask using the "pcmdi" method: + + >>> mask = ds.spatial.generate_land_sea_mask("tas", method="pcmdi") + + Generate a mask using the "pcmdi" method, with customization: + + >>> mask = ds.spatial.generate_land_sea_mask("tas", method="pcmdi", source=high_res_ds, source_data_var="highres") + """ + return generate_land_sea_mask(self._dataset[data_var], method, **options) + def average( self, data_var: str, From 397ee159304c4d2f8546d2423d124072ce5e0195 Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Thu, 9 Oct 2025 13:05:32 -0700 Subject: [PATCH 18/23] Fixes generating mask for a grid --- tests/test_mask.py | 30 ++++++++++++++++++++++++++++++ xcdat/spatial.py | 32 ++++++++++++++++++++++++++++---- 2 files changed, 58 insertions(+), 4 deletions(-) diff --git a/tests/test_mask.py b/tests/test_mask.py index fb8df7df..99e9556d 100644 --- a/tests/test_mask.py +++ b/tests/test_mask.py @@ -7,6 +7,7 @@ from tests import fixtures from xcdat import mask +from xcdat.regridder import grid np.set_printoptions(threshold=sys.maxsize, suppress=True) @@ -116,6 +117,35 @@ def test_generate_land_sea_mask(self, ds): xr.testing.assert_allclose(output, expected) + def test_generate_land_sea_mask_from_grid(self): + ds = grid.create_uniform_grid(-90, 90, 36, 0, 359, 32) + + expected = xr.DataArray( + [ + [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], + [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], + [0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0], + [1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1], + [0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1], + [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + ], + dims=("lat", "lon"), + coords={"lat": ds.lat.copy(), "lon": ds.lon.copy()}, + ) + + output = ds.spatial.generate_land_sea_mask() + + xr.testing.assert_allclose(output, expected) + + def test_generate_land_sea_mask_missing_coordinate(self): + ds = grid.create_grid(x=grid.create_axis("lat", [x for x in range(10)])) + + with pytest.raises( + KeyError, + match="Dataset is missing a required coordinate, ensure a lat and lon coordinate exist", + ): + ds.spatial.generate_land_sea_mask() + class TestMaskGeneration: def test_mask_invalid_data_var(self, ds): diff --git a/xcdat/spatial.py b/xcdat/spatial.py index bf49bea9..e70e8842 100644 --- a/xcdat/spatial.py +++ b/xcdat/spatial.py @@ -206,7 +206,7 @@ def mask_sea( def generate_land_sea_mask( self, - data_var: str, + data_var: str | None = None, method: str = "regionmask", **options: Any, ) -> xr.DataArray: @@ -215,8 +215,10 @@ def generate_land_sea_mask( Parameters ---------- - data_var : str - Name of the variable to generate land/sea mask from. + data_var : str, optional + Name of the variable whose lat/lon coordinates will be used to + generate the land/sea mask. If omitted then a `mask` variable will + be generated using the lat/lon coordinates in the dataset. method : str, optional The method to use for generating the mask, by default "regionmask". Supported methods: "regionmask", "pcmdi". @@ -244,8 +246,30 @@ def generate_land_sea_mask( Generate a mask using the "pcmdi" method, with customization: >>> mask = ds.spatial.generate_land_sea_mask("tas", method="pcmdi", source=high_res_ds, source_data_var="highres") + + Generating a mask from a new grid: + + >>> grid = xc.create_uniform_grid(-90, 90, 1, 0, 359, 1) + + >>> mask = grid.spatial.generate_land_sea_mask() """ - return generate_land_sea_mask(self._dataset[data_var], method, **options) + if data_var is None: + try: + da_shape = list(self._dataset.cf[x].shape[0] for x in ("X", "Y")) + + da_dims = list(self._dataset.cf[x].name for x in ("X", "Y")) + + da_coords = {x: self._dataset[x].copy() for x in da_dims} + except KeyError: + raise KeyError( + "Dataset is missing a required coordinate, ensure a lat and lon coordinate exist" + ) from None + + da = xr.DataArray(np.ones(da_shape), dims=da_dims, coords=da_coords) + else: + da = self._dataset[data_var] + + return generate_land_sea_mask(da, method, **options) def average( self, From def3bff44b48db5c271976c96308345c22133216 Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Thu, 9 Oct 2025 16:04:24 -0700 Subject: [PATCH 19/23] Adds land/sea mask example --- .../thumbnails/spatial-landsea-mask.png | Bin 0 -> 60523 bytes docs/examples/spatial-landsea-mask.ipynb | 1048 +++++++++++++++++ docs/gallery.rst | 1 + docs/gallery.yml | 4 + 4 files changed, 1053 insertions(+) create mode 100644 docs/_static/thumbnails/spatial-landsea-mask.png create mode 100644 docs/examples/spatial-landsea-mask.ipynb diff --git a/docs/_static/thumbnails/spatial-landsea-mask.png b/docs/_static/thumbnails/spatial-landsea-mask.png new file mode 100644 index 0000000000000000000000000000000000000000..a9cbf85176044cdac5f9303cc009465089c3f8ed GIT binary patch literal 60523 zcmeFZ^;eZ$_b|z!?J-aL2W-HRoJ&equ+yQI>gv{uCVofjp6ul~jX35Q88PgeBC+;5RQu z=hnbKuiT`x-P9c|-8@ZPEFelIZccWNZgw`N)E*Wtt~QPiyd2zI9530Zt=-(5Twif= z+W+?v9F8tloW&)fo#0i_oMd%eArNd6_#cEq(Qh^o$nK<^r1)E}%)KnnGy>SgWh-wr zZ^o3tN)?+)Dw}E^QUbM(I8wQn6vM6tE{7bFs(3Q>v&RS6ba;|t;y4KyheQ%TRi#eKLEHJCbx8vKPC96?qx zdH@l}K>}a6I@XA?|9)rn3n~7e2ha}Zpi%$x-;$Z)_+s#{`Y&>#>M5lBB{+rbbEKXNK;%L_;BAlH1xzb z@T+2aFlWmZZH`Cq^2z!@nvgfoOpSeXNeLSPt0w08&Uhzlc~fu(pW~-8tK$`z^{*U+ z#Kgq-tgMgAo#CrHrzYkyCU#(&*X7b~T-X48; zN7dLWl~UgF7v2BnLaN#4+_-ku|MPAFoy<`$U0jY@fxN7;vh;Y72Di(aY^I>6vML83 zpO&*q(*t<3x95*vm60fa!-rp|i>qrwT3UpjLp?ID)$rRCL8m3iXTKA0`=%ZnxQ=!b-wxiTTQXCxpkM zzs_{$b};ngV%CUES1CHP3~*tFJHdoXqM`d2zsz_7&ck|Z7MTtjsmNu6BHzq zlaqtr3L;L!5*?4rgZZsrxsRd@R1-LMuB&P zRj=a61!(scng#dn

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[xarray.Dataset.spatial.generate_land_sea_mask()](../generated/xarray.Dataset.spatial.generate_land_sea_mask.rst)" + ] + }, + { + "cell_type": "markdown", + "id": "c3b6a296-35d4-47d7-ab50-de3ab34707eb", + "metadata": {}, + "source": [ + "## Overview\n", + "\n", + "In geophysical sciences it can often be useful to mask data that is not of interest. Spatial land/sea masking functionality in xcdat allows users to quickly generate and apply land/sea masks derived from various methods.\n", + "\n", + "In the example below, we demonstrate masking land/sea, generating land/sea masks and customizing the mask generation.\n", + "\n", + "The data used in this example can be found in the [xcdat-data repository](https://github.com/xCDAT/xcdat-data).\n" + ] + }, + { + "cell_type": "markdown", + "id": "481d258e-1618-4936-a7f5-5daed7404274", + "metadata": {}, + "source": [ + "### Notebook Kernel Setup\n", + "\n", + "Users can [install their own instance of xcdat](../getting-started-guide/installation.rst) and follow these examples using their own environment (e.g., with VS Code, Jupyter, Spyder, iPython) or [enable xcdat with existing JupyterHub instances](../getting-started-guide/getting-started-hpc-jupyter.rst).\n", + "\n", + "First, create the conda environment:\n", + "\n", + "```bash\n", + "conda create -n xcdat_notebook -c conda-forge xcdat xesmf matplotlib ipython ipykernel cartopy nc-time-axis gsw-xarray jupyter pooch\n", + "```\n", + "\n", + "Then install the kernel from the `xcdat_notebook` environment using `ipykernel` and name the kernel with the display name (e.g., `xcdat_notebook`):\n", + "\n", + "```bash\n", + "python -m ipykernel install --user --name xcdat_notebook --display-name xcdat_notebook\n", + "```\n", + "\n", + "Then to select the kernel `xcdat_notebook` in Jupyter to use this kernel.\n" + ] + }, + { + "cell_type": "markdown", + "id": "59cddcb2-861c-4b16-b977-16cccce82112", + "metadata": {}, + "source": [ + "## 1. Open the `Dataset`\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "b1a3c9e7-4670-4d80-9882-afcfd557043f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ERROR 1: PROJ: proj_create_from_database: Open of /opt/conda/envs/xcdat_dev/share/proj failed\n", + "sh: 1: getfattr: not found\n" + ] + }, + { + "data": { + "text/html": [ + "
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+       "    cmor_version:                    3.4.0\n",
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+       "    DODS_EXTRA.Unlimited_Dimension:  time
" + ], + "text/plain": [ + " Size: 7MB\n", + "Dimensions: (time: 60, bnds: 2, lat: 145, lon: 192)\n", + "Coordinates:\n", + " * time (time) object 480B 1870-01-16 12:00:00 ... 1874-12-16 12:00:00\n", + " * lat (lat) float64 1kB -90.0 -88.75 -87.5 -86.25 ... 87.5 88.75 90.0\n", + " * lon (lon) float64 2kB 0.0 1.875 3.75 5.625 ... 354.4 356.2 358.1\n", + " height float64 8B ...\n", + "Dimensions without coordinates: bnds\n", + "Data variables:\n", + " time_bnds (time, bnds) object 960B ...\n", + " lat_bnds (lat, bnds) float64 2kB ...\n", + " lon_bnds (lon, bnds) float64 3kB ...\n", + " tas (time, lat, lon) float32 7MB ...\n", + "Attributes: (12/48)\n", + " Conventions: CF-1.7 CMIP-6.2\n", + " activity_id: CMIP\n", + " branch_method: standard\n", + " branch_time_in_child: 0.0\n", + " branch_time_in_parent: 87658.0\n", + " creation_date: 2020-06-05T04:06:11Z\n", + " ... ...\n", + " variant_label: r10i1p1f1\n", + " version: v20200605\n", + " license: CMIP6 model data produced by CSIRO is li...\n", + " cmor_version: 3.4.0\n", + " tracking_id: hdl:21.14100/af78ae5e-f3a6-4e99-8cfe-5f2...\n", + " DODS_EXTRA.Unlimited_Dimension: time" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# parameters\n", + "import xcdat as xc\n", + "import xarray as xr\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "# import cartopy.crs as ccrs\n", + "\n", + "# open dataset\n", + "ds = xc.tutorial.open_dataset(\"tas_amon_access\", use_cftime=True)\n", + "ds" + ] + }, + { + "cell_type": "markdown", + "id": "e4edc5a9-a098-4270-a169-57d6d519922b", + "metadata": {}, + "source": [ + "## 2. Masking land/sea" + ] + }, + { + "cell_type": "markdown", + "id": "90f2eb0e-8f5c-4186-b27f-40537e9a173a", + "metadata": {}, + "source": [ + "The default `method` (regionmask) when masking will generate the mask using the [`1:110m` Natural Earth Land data](https://www.naturalearthdata.com/downloads/110m-physical-vectors/110m-land/).\n", + "\n", + "Another `method` (pcmdi) to generate a land/sea mask uses the `navy_land.nc` dataset; a high resolution land/sea mask with fractional land values. This approach utilizes an iterative refinement process to generate a highly accurate mask." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f7842cc1-8b0e-4d15-83db-fd9612b6ef5e", + "metadata": {}, + "outputs": [], + "source": [ + "mask = ds.spatial.mask_land(\"tas\")\n", + "\n", + "pcmdi_mask = ds.spatial.mask_land(\"tas\", method=\"pcmdi\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "154b72a7-129b-4927-a264-4c7c4159a3f9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'PCMDI')" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(ncols=2, figsize=(16, 4))\n", + "mask.isel(time=0).tas.plot(ax=axs[0])\n", + "axs[0].set_title(\"RegionMask\")\n", + "pcmdi_mask.isel(time=0).tas.plot(ax=axs[1])\n", + "axs[1].set_title(\"PCMDI\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9b25fbca-2245-477c-84d3-acb0bc15ec03", + "metadata": {}, + "outputs": [], + "source": [ + "mask = ds.spatial.mask_sea(\"tas\")\n", + "\n", + "pcmdi_mask = ds.spatial.mask_sea(\"tas\", method=\"pcmdi\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "1d07b7b6-9741-4e08-9a45-c6147776b858", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'PCMDI')" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(ncols=2, figsize=(16, 4))\n", + "mask.isel(time=0).tas.plot(ax=axs[0])\n", + "axs[0].set_title(\"RegionMask\")\n", + "pcmdi_mask.isel(time=0).tas.plot(ax=axs[1])\n", + "axs[1].set_title(\"PCMDI\")" + ] + }, + { + "cell_type": "markdown", + "id": "ca128698-efa1-4af2-8f3b-030e626badae", + "metadata": {}, + "source": [ + "## 3. Generating a land/sea mask" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "5c3bf82d-87b4-46f5-92ae-8c8fdd49a2bd", + "metadata": {}, + "outputs": [], + "source": [ + "grid = xc.create_uniform_grid(-90, 90, 1, 0, 359, 1)\n", + "\n", + "mask = grid.spatial.generate_land_sea_mask()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "8875c6a7-6eb7-4f71-b8ad-8fc6b8b8fe31", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mask.plot()" + ] + }, + { + "cell_type": "markdown", + "id": "534b5a87-a8c8-4a04-9321-0b3679a5c012", + "metadata": {}, + "source": [ + "## 4. Customizing land/sea mask" + ] + }, + { + "cell_type": "markdown", + "id": "a0a2cc12-c5d7-4a71-8485-773553249010", + "metadata": {}, + "source": [ + "The first example customization is using a different fractional high resolution source. By default the `navy_land.nc` from [xcdat-data repo](https://github.com/xCDAT/xcdat-data) is used but it's possible to use a difference source. \n", + "\n", + "**This is just a toy example using high resolution noise.**" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "7ba04c90-147a-45dd-a02b-01eec4dc2962", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Custom Source')" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "highres_ds = xc.create_uniform_grid(-90, 90, 1/6, 0, 359, 1/6)\n", + "highres_ds[\"frac\"] = ((\"lat\", \"lon\"), np.random.random((highres_ds.lat.shape[0], highres_ds.lon.shape[0])))\n", + "\n", + "mask = ds.spatial.mask_land(\"tas\", method=\"pcmdi\", source=highres_ds, source_data_var=\"frac\")\n", + "mask.tas.isel(time=0).plot()\n", + "plt.title(\"Custom Source\")" + ] + }, + { + "cell_type": "markdown", + "id": "c3c29cbc-2d6c-42ea-b734-6eb2c8f6ddb4", + "metadata": {}, + "source": [ + "The next example changes the thresholds used to determine if a cell should be flipped from land to sea during the iterative mask refinement performed by the `pcmdi` method.\n", + "\n", + "**The default thresholds are 0.2 and 0.3.**" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b8115c6b-1bc1-42fe-87dd-e8e25a43c0ad", + "metadata": {}, + "outputs": [], + "source": [ + "mask1 = ds.spatial.mask_land(\"tas\", method=\"pcmdi\", threshold1=0.6, threshold2=0.8)\n", + "\n", + "mask2 = ds.spatial.mask_land(\"tas\", method=\"pcmdi\", threshold1=0.1, threshold2=0.2)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "297b1bba-7426-4b41-b7c0-aca58ad00609", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Lower')" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(ncols=2, figsize=(16, 4))\n", + "mask1.isel(time=0).tas.plot(ax=axs[0])\n", + "axs[0].set_title(\"Higher\")\n", + "mask2.isel(time=0).tas.plot(ax=axs[1])\n", + "axs[1].set_title(\"Lower\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a84f8741-81aa-4520-9015-da74606b6266", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/gallery.rst b/docs/gallery.rst index 5629ff45..b12bf084 100644 --- a/docs/gallery.rst +++ b/docs/gallery.rst @@ -12,6 +12,7 @@ This gallery demonstrates how to use some of the features in ``xcdat``. Contribu examples/introduction-to-xcdat.ipynb examples/general-utilities.ipynb examples/spatial-average.ipynb + examples/spatial-landsea-mask.ipynb examples/temporal-average.ipynb examples/climatology-and-departures.ipynb examples/regridding-horizontal.ipynb diff --git a/docs/gallery.yml b/docs/gallery.yml index 3c83f2e5..5c0ff125 100644 --- a/docs/gallery.yml +++ b/docs/gallery.yml @@ -10,6 +10,10 @@ path: examples/spatial-average.ipynb thumbnail: _static/thumbnails/spatial-avg.png +- title: Spatial Land/Sea Mask + path: examples/spatial-landsea-mask.ipynb + thumbnail: _static/thumbnails/spatial-landsea-mask.png + - title: Temporal Averaging path: examples/temporal-average.ipynb thumbnail: _static/thumbnails/temporal-average.png From 00344396099a111295f2d9ba0b2af2e3a09caaf4 Mon Sep 17 00:00:00 2001 From: Jason Boutte Date: Fri, 10 Oct 2025 10:38:36 -0700 Subject: [PATCH 20/23] Updates landsea mask notebook --- docs/examples/spatial-landsea-mask.ipynb | 25 ++++++++++++++---------- 1 file changed, 15 insertions(+), 10 deletions(-) diff --git a/docs/examples/spatial-landsea-mask.ipynb b/docs/examples/spatial-landsea-mask.ipynb index d5917ab2..cd5ddb49 100644 --- a/docs/examples/spatial-landsea-mask.ipynb +++ b/docs/examples/spatial-landsea-mask.ipynb @@ -7,7 +7,7 @@ "source": [ "# Spatial Land/Sea Mask\n", "\n", - "Authors: [Jason Boutte](https://github.com/jasonb5/) & [Tom Vo](https://github.com/tomvothecoder/)\n", + "Authors: [Jason Boutte](https://github.com/jasonb5/) & [Jiwoo Lee](https://github.com/lee1043/) & [Tom Vo](https://github.com/tomvothecoder/)\n", "\n", "Updated: 10/09/25 [xcdat v0.9.1]\n", "\n", @@ -74,6 +74,8 @@ "output_type": "stream", "text": [ "ERROR 1: PROJ: proj_create_from_database: Open of /opt/conda/envs/xcdat_dev/share/proj failed\n", + "2025-10-10 17:37:14,377 [INFO]: font_manager.py(_load_fontmanager:1639) >> generated new fontManager\n", + "2025-10-10 17:37:14,377 [INFO]: font_manager.py(_load_fontmanager:1639) >> generated new fontManager\n", "sh: 1: getfattr: not found\n" ] }, @@ -584,7 +586,7 @@ " license: CMIP6 model data produced by CSIRO is li...\n", " cmor_version: 3.4.0\n", " tracking_id: hdl:21.14100/af78ae5e-f3a6-4e99-8cfe-5f2...\n", - " DODS_EXTRA.Unlimited_Dimension: time