Extend regression testing with more models and increased simulation time

[LuukBlom]

Kind of request

Adding new functionality

Enhancement Description

Given the merged PR: #793 that sets up the framework and adds 2 models to the regression tests.
We want to add to the regression testing by adding more models / modelvariants AND increasing the simulation time from 3 days to 1 year.

Already discussed with @JoostBuitink and @vers-w:

• Add more variants of the Moselle model: wflow_kinematic_wave, wflow_local_inertial, wflow_local_inertial_1D, wflow_local_inertial_2D using the workflow.yml below:

Details

steps:
  - setup_config: # options parsed to wflow toml file <section>.<option>
      data:
        time.starttime: 2010-01-01T00:00:00
        time.endtime: 2010-03-31T00:00:00
        time.timestepsecs: 86400
        input.path_forcing: inmaps-era5-2010.nc
        output.netcdf_grid.path: output.nc
        output.netcdf_grid.compressionlevel: 1
        output.netcdf_grid.variables.atmosphere_water__precipitation_volume_flux: precip
        output.netcdf_grid.variables.vegetation_canopy_water__interception_volume_flux: vegetation_interception
        output.netcdf_grid.variables.land_surface_water__depth: land_h
        output.netcdf_grid.variables.land_surface_water__volume_flow_rate: land_q
        output.netcdf_grid.variables.river_water__depth: river_h
        output.netcdf_grid.variables.river_water__volume_flow_rate: river_q

  - setup_basemaps:
      hydrography_fn: merit_hydro # source hydrography data {merit_hydro, merit_hydro_1k}
      basin_index_fn: merit_hydro_index # source of basin index corresponding to hydrography_fn
      upscale_method: ihu # upscaling method for flow direction data, by default 'ihu'
      res: 0.00833 # build the model at a 30 arc sec (~1km) resolution
      region: # model region
        subbasin: [7.58529, 50.36811]
        strord: 4 # snapped to a river with minimum stream order (strord) of 4
        bounds: [5.0, 47.0, 8.0, 51.0] # within the given bounds [xmin, ymin, xmax, ymax] (WGS84)

  - setup_rivers:
      hydrography_fn: merit_hydro # source hydrography data, should correspond to hydrography_fn in setup_basemaps
      river_geom_fn: hydro_rivers_lin # river source data with river width and bankfull discharge
      river_upa: 30 # minimum upstream area threshold for the river map [km2]
      rivdph_method: powlaw # method to estimate depth {'powlaw', 'manning', 'gvf'}
      min_rivdph: 1 # minimum river depth [m]
      min_rivwth: 30 # minimum river width [m]
      slope_len: 2000 # length over which tp calculate river slope [m]
      smooth_len: 5000 # length over which to smooth river depth and river width [m]
      river_routing: kinematic_wave # {'kinematic_wave', 'local_inertial'}

  - setup_river_roughness:

  - setup_reservoirs_simple_control:
      reservoirs_fn: hydro_reservoirs # source for reservoirs shape and attributes
      timeseries_fn: gww # additional source for reservoir are timeseries to compute reservoirs, Either 'gww' using gwwapi or 'jrc' using hydroengine.
      min_area: 1.0 # minimum lake area to consider [km2]

  - setup_reservoirs_no_control:
      reservoirs_fn: hydro_lakes # source for uncontrolled reservoirs (e.g. lakes) based on hydroLAKES: {hydro_lakes}
      min_area: 10.0 # minimum reservoir area to consider [km2]

  - setup_glaciers:
      glaciers_fn: rgi # source for glaciers based on Randolph Glacier Inventory {rgi}
      min_area: 0.0 # minimum glacier area to consider [km2]

  - setup_lulcmaps:
      lulc_fn: globcover # source for lulc maps: {globcover, vito, corine}
      lulc_mapping_fn: globcover_mapping_default # default mapping for lulc classes

  - setup_laimaps:
      lai_fn: modis_lai # source for Leaf Area Index: {modis_lai}

  - setup_soilmaps:
      soil_fn: soilgrids # source for soilmaps: {soilgrids}
      ptf_ksatver: brakensiek # pedotransfer function to calculate hydraulic conductivity: {brakensiek, cosby}

  - setup_outlets:
      river_only: True

  - setup_gauges:
      gauges_fn: grdc # if not None add gaugemap. Either a path or known gauges_fn: {grdc}
      snap_to_river: True # if True snaps gauges from source to river
      derive_subcatch: True # if True derive subcatch map based on gauges.

  - setup_precip_forcing:
      precip_fn: era5 # source for precipitation.
      precip_clim_fn: # source for high resolution climatology to correct precipitation if any.

  - setup_temp_pet_forcing:
      temp_pet_fn: era5 # source for temperature and potential evapotranspiration.
      press_correction: True # if True temperature is corrected with elevation lapse rate.
      temp_correction: True # if True pressure is corrected with elevation lapse rate.
      dem_forcing_fn: era5_orography # source of elevation grid corresponding to temp_pet_fn. Used for lapse rate correction.
      pet_method: debruin # method to compute PET: {debruin, makkink}
      skip_pet: False # if True, only temperature is prepared.

  - setup_constant_pars:
      "subsurface_water__horizontal_to_vertical_saturated_hydraulic_conductivity_ratio": 100
      "snowpack__degree_day_coefficient": 3.75653
      "soil_surface_water__infiltration_reduction_parameter": 0.038
      "vegetation_canopy_water__mean_evaporation_to_mean_precipitation_ratio": 0.11
      "compacted_soil_surface_water__infiltration_capacity": 10
      "soil_water_saturated_zone_bottom__max_leakage_volume_flux": 0
      "soil_wet_root__sigmoid_function_shape_parameter": -500
      "atmosphere_air__snowfall_temperature_threshold": 0
      "atmosphere_air__snowfall_temperature_interval": 2
      "snowpack__melting_temperature_threshold": 0
      "snowpack__liquid_water_holding_capacity": 0.1
      "glacier_ice__degree_day_coefficient": 3
      "glacier_firn_accumulation__snowpack_dry_snow_leq_depth_fraction": 0.001
      "glacier_ice__melting_temperature_threshold": 0

  - config.write:
      filename: wflow_kinematic_wave.toml

  - setup_rivers:
      hydrography_fn: merit_hydro # source hydrography data, should correspond to hydrography_fn in setup_basemaps
      river_geom_fn: hydro_rivers_lin # river source data with river width and bankfull discharge
      river_upa: 30 # minimum upstream area threshold for the river map [km2]
      rivdph_method: powlaw # method to estimate depth {'powlaw', 'manning', 'gvf'}
      min_rivdph: 1 # minimum river depth [m]
      min_rivwth: 30 # minimum river width [m]
      slope_len: 2000 # length over which tp calculate river slope [m]
      smooth_len: 5000 # length over which to smooth river depth and river width [m]
      river_routing: local_inertial # {'kinematic_wave', 'local_inertial'}

  - config.write:
      filename: wflow_local_inertial.toml

  - setup_floodplains: # if 1D floodplains are required
      hydrography_fn: merit_hydro # source hydrography data, should correspond to hydrography_fn in setup_basemaps
      floodplain_type: 1d # If one-dimensional floodplains are required
      flood_depths: # flood depths at which a volume is derived
        - 0.5
        - 1.0
        - 1.5
        - 2.0
        - 2.5
        - 3.0
        - 4.0
        - 5.0

  - config.write:
      filename: wflow_local_inertial_1D.toml

  - setup_floodplains:
      hydrography_fn: merit_hydro
      floodplain_type: 2d
      elevtn_map: land_elevation

  - config.write:
      filename: wflow_local_inertial_2D.toml


  - write:

Use case

No response

Additional Context

original issue: Deltares/hydromt#1408
PR: #793

Increased simulation time raises network errors

When developing the PR, I have tried running the whole pipeline with simulation times of ~1 year.
This would lead to errors similar to the ones below when building the model.

Details

2026-07-30 13:24:24,062 - hydromt.model.model - model - INFO - build: setup_precip_forcing
2026-07-30 13:24:24,063 - hydromt.model.model - model - INFO - setup_precip_forcing.precip_clim_fn=None
2026-07-30 13:24:24,063 - hydromt.model.model - model - INFO - setup_precip_forcing.chunksize=None
2026-07-30 13:24:24,063 - hydromt.model.model - model - INFO - setup_precip_forcing.precip_fn=era5_hourly
2026-07-30 13:24:24,065 - hydromt.data_catalog.sources.data_source - data_source - INFO - Reading era5_hourly RasterDataset data from https://api.earthdatahub.destine.eu/era5/reanalysis-era5-single-levels-v0.zarr
2026-07-30 13:26:04,710 - hydromt - log - ERROR - Unhandled exception occured.
Traceback (most recent call last):
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\hydromt\log.py", line 179, in to_file
    yield
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\hydromt\model\model.py", line 324, in build
    method(**merged)
    ~~~~~~^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\hydromt_wflow\wflow_sbm.py", line 3301, in setup_precip_forcing
    precip = self.data_catalog.get_rasterdataset(
        precip_fn,
    ...<3 lines>...
        variables=["precip"],
    )
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\hydromt\data_catalog\data_catalog.py", line 1477, in get_rasterdataset
    return source.read_data(
           ~~~~~~~~~~~~~~~~^
        bbox=bbox,
        ^^^^^^^^^^
    ...<7 lines>...
        single_var_as_array=single_var_as_array,
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\hydromt\data_catalog\sources\rasterdataset.py", line 84, in read_data
    ds: xr.Dataset = self.driver.read(
                     ~~~~~~~~~~~~~~~~^
        uris,
        ^^^^^
    ...<5 lines>...
        metadata=self.metadata,
        ^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\hydromt\data_catalog\drivers\raster\raster_xarray_driver.py", line 124, in read
    for ds in self._open_zarrs(filtered_uris, self.options.get_kwargs())
              ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\hydromt\data_catalog\drivers\raster\raster_xarray_driver.py", line 204, in _open_zarrs
    ds = xr.open_zarr(_uri, **read_kwargs)
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\xarray\backends\zarr.py", line 1658, in open_zarr
    ds = open_dataset(
        filename_or_obj=store,
    ...<16 lines>...
        use_zarr_fill_value_as_mask=use_zarr_fill_value_as_mask,
    )
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\xarray\backends\api.py", line 607, in open_dataset
    backend_ds = backend.open_dataset(
        filename_or_obj,
    ...<2 lines>...
        **kwargs,
    )
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\xarray\backends\zarr.py", line 1732, in open_dataset
    store = ZarrStore.open_group(
        filename_or_obj,
    ...<10 lines>...
        cache_members=cache_members,
    )
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\xarray\backends\zarr.py", line 771, in open_group
    ) = _get_open_params(
        ~~~~~~~~~~~~~~~~^
        store=store,
        ^^^^^^^^^^^^
    ...<9 lines>...
        zarr_format=zarr_format,
        ^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\xarray\backends\zarr.py", line 1940, in _get_open_params
    zarr_root_group = zarr.open_consolidated(store, **open_kwargs)
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\api\synchronous.py", line 234, in open_consolidated
    sync(async_api.open_consolidated(*args, use_consolidated=use_consolidated, **kwargs))
    ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\core\sync.py", line 158, in sync
    raise return_result
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\core\sync.py", line 118, in _runner
    return await coro
           ^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\api\asynchronous.py", line 396, in open_consolidated
    return await open_group(*args, use_consolidated=use_consolidated, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\api\asynchronous.py", line 831, in open_group
    return await AsyncGroup.open(
           ^^^^^^^^^^^^^^^^^^^^^^
        store_path, zarr_format=zarr_format, use_consolidated=use_consolidated
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\core\group.py", line 567, in open
    ) = await asyncio.gather(
        ^^^^^^^^^^^^^^^^^^^^^
    ...<4 lines>...
    )
    ^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\storage\_common.py", line 162, in get
    return await self.store.get(self.path, prototype=prototype, byte_range=byte_range)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\storage\_fsspec.py", line 289, in get
    value = prototype.buffer.from_bytes(await self.fs._cat_file(path))
                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\fsspec\implementations\http.py", line 248, in _cat_file
    async with session.get(self.encode_url(url), **kw) as r:
               ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\aiohttp\client.py", line 1683, in __aenter__
    self._resp: _RetType_co = await self._coro
                              ^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\aiohttp\client.py", line 856, in _request
    resp = await handler(req)
           ^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\aiohttp\client.py", line 834, in _connect_and_send_request
    await resp.start(conn)
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\aiohttp\client_reqrep.py", line 558, in start
    message, payload = await protocol.read()  # type: ignore[union-attr]
                       ^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\aiohttp\streams.py", line 705, in read
    await self._waiter
aiohttp.client_exceptions.ServerDisconnectedError: Server disconnected
Traceback (most recent call last):
  File "<frozen runpy>", line 203, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Scripts\hydromt.exe\__main__.py", line 10, in <module>
    sys.exit(main())
             ~~~~^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\click\core.py", line 1569, in __call__
    return self.main(*args, **kwargs)
           ~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\click\core.py", line 1490, in main
    rv = self.invoke(ctx)
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\click\core.py", line 1970, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
                           ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\click\core.py", line 1353, in invoke
    return ctx.invoke(self.callback, **ctx.params)
           ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\click\core.py", line 907, in invoke
    return callback(*args, **kwargs)
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\click\decorators.py", line 34, in new_func
    return f(get_current_context(), *args, **kwargs)
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\hydromt\cli\main.py", line 259, in build
    mod.build(steps=steps)
    ~~~~~~~~~^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\hydromt\model\model.py", line 324, in build
    method(**merged)
    ~~~~~~^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\hydromt_wflow\wflow_sbm.py", line 3301, in setup_precip_forcing
    precip = self.data_catalog.get_rasterdataset(
        precip_fn,
    ...<3 lines>...
        variables=["precip"],
    )
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\hydromt\data_catalog\data_catalog.py", line 1477, in get_rasterdataset
    return source.read_data(
           ~~~~~~~~~~~~~~~~^
        bbox=bbox,
        ^^^^^^^^^^
    ...<7 lines>...
        single_var_as_array=single_var_as_array,
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\hydromt\data_catalog\sources\rasterdataset.py", line 84, in read_data
    ds: xr.Dataset = self.driver.read(
                     ~~~~~~~~~~~~~~~~^
        uris,
        ^^^^^
    ...<5 lines>...
        metadata=self.metadata,
        ^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\hydromt\data_catalog\drivers\raster\raster_xarray_driver.py", line 124, in read
    for ds in self._open_zarrs(filtered_uris, self.options.get_kwargs())
              ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\hydromt\data_catalog\drivers\raster\raster_xarray_driver.py", line 204, in _open_zarrs
    ds = xr.open_zarr(_uri, **read_kwargs)
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\xarray\backends\zarr.py", line 1658, in open_zarr
    ds = open_dataset(
        filename_or_obj=store,
    ...<16 lines>...
        use_zarr_fill_value_as_mask=use_zarr_fill_value_as_mask,
    )
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\xarray\backends\api.py", line 607, in open_dataset
    backend_ds = backend.open_dataset(
        filename_or_obj,
    ...<2 lines>...
        **kwargs,
    )
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\xarray\backends\zarr.py", line 1732, in open_dataset
    store = ZarrStore.open_group(
        filename_or_obj,
    ...<10 lines>...
        cache_members=cache_members,
    )
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\xarray\backends\zarr.py", line 771, in open_group
    ) = _get_open_params(
        ~~~~~~~~~~~~~~~~^
        store=store,
        ^^^^^^^^^^^^
    ...<9 lines>...
        zarr_format=zarr_format,
        ^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\xarray\backends\zarr.py", line 1940, in _get_open_params
    zarr_root_group = zarr.open_consolidated(store, **open_kwargs)
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\api\synchronous.py", line 234, in open_consolidated
    sync(async_api.open_consolidated(*args, use_consolidated=use_consolidated, **kwargs))
    ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\core\sync.py", line 158, in sync
    raise return_result
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\core\sync.py", line 118, in _runner
    return await coro
           ^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\api\asynchronous.py", line 396, in open_consolidated
    return await open_group(*args, use_consolidated=use_consolidated, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\api\asynchronous.py", line 831, in open_group
    return await AsyncGroup.open(
           ^^^^^^^^^^^^^^^^^^^^^^
        store_path, zarr_format=zarr_format, use_consolidated=use_consolidated
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\core\group.py", line 567, in open
    ) = await asyncio.gather(
        ^^^^^^^^^^^^^^^^^^^^^
    ...<4 lines>...
    )
    ^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\storage\_common.py", line 162, in get
    return await self.store.get(self.path, prototype=prototype, byte_range=byte_range)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\zarr\storage\_fsspec.py", line 289, in get
    value = prototype.buffer.from_bytes(await self.fs._cat_file(path))
                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\fsspec\implementations\http.py", line 248, in _cat_file
    async with session.get(self.encode_url(url), **kw) as r:
               ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\aiohttp\client.py", line 1683, in __aenter__
    self._resp: _RetType_co = await self._coro
                              ^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\aiohttp\client.py", line 856, in _request
    resp = await handler(req)
           ^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\aiohttp\client.py", line 834, in _connect_and_send_request
    await resp.start(conn)
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\aiohttp\client_reqrep.py", line 558, in start
    message, payload = await protocol.read()  # type: ignore[union-attr]
                       ^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\.pixi\envs\default\Lib\site-packages\aiohttp\streams.py", line 705, in read
    await self._waiter
aiohttp.client_exceptions.ServerDisconnectedError: Server disconnected
Traceback (most recent call last):
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\tests\regression\run_pipeline.py", line 119, in <module>
    main()
    ~~~~^^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\tests\regression\run_pipeline.py", line 75, in main
    sbm_root, sbm_build_time = build_sbm(
                               ~~~~~~~~~^
        project_root=project_root,
        ^^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<4 lines>...
        verbosity=args.verbosity,
        ^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\tests\regression\regression_utils.py", line 179, in build_sbm
    elapsed = _run(cmd)
  File "C:\ProgramData\devdrive\repos\hydromt_wflow\tests\regression\regression_utils.py", line 132, in _run
    raise RuntimeError(
        f"Command failed with exit code {result.returncode}: {' '.join(cmd)}"
    )
RuntimeError: Command failed with exit code 1: hydromt build wflow_sbm C:\ProgramData\devdrive\repos\hydromt_wflow\tests\regression\.runs\wflow_sbm\piave -i C:\ProgramData\devdrive\repos\hydromt_wflow\tests\regression\piave\build_sbm.yml -d C:\ProgramData\devdrive\repos\hydromt_wflow\examples\data\demand\data_catalog.yml -d C:\ProgramData\devdrive\repos\hydromt_wflow\hydromt_wflow\data\parameters_data.yml -d artifact_data -d deltares_data -d earthdatahub_data --fo -v

Not all errors were exactly this, some were also raised while reading netcdf files from the P drive, which is why I changed the workflows to use earthdatahub instead.
Clearly, this didnt resolve all errors.