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Merged
spencerkclark merged 2 commits into from
Mar 20, 2026
Merged

Update 4-degree SHiELD-SOM ensemble dataset #990

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e54decb
Add time-coarsening config for SHiELD-SOM ensemble
spencerkclark Mar 19, 2026
0c2bbc6
Merge branch 'main' into feature/recompute-4-degree-shield-som-ensemble
spencerkclark Mar 20, 2026
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2 changes: 1 addition & 1 deletion scripts/data_process/Makefile
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Original file line number Diff line number Diff line change
Expand Up @@ -194,7 +194,7 @@ shield_som_c96_spin_up_dataset:

.PHONY: shield_som_ensemble_c96_dataset
shield_som_ensemble_c96_dataset:
./compute_dataset.sh --config configs/shield-som-ensemble-c96-$(RESOLUTION)-$(LAYERS).yaml
./compute_dataset.sh --dataset --stats --time-coarsen --config configs/shield-som-ensemble-c96-$(RESOLUTION)-$(LAYERS).yaml

.PHONY: shield_som_abrupt_co2_increase_c96_dataset
shield_som_abrupt_co2_increase_c96_dataset:
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95 changes: 92 additions & 3 deletions scripts/data_process/configs/shield-som-ensemble-c96-4deg-8layer.yaml
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Expand Up @@ -22,10 +22,10 @@ runs:
4xCO2-ic_0003: gs://vcm-ml-raw-flexible-retention/2024-07-03-C96-SHiELD-SOM/regridded-zarrs/gaussian_grid_45_by_90/4xCO2-ic_0003
4xCO2-ic_0004: gs://vcm-ml-raw-flexible-retention/2024-07-03-C96-SHiELD-SOM/regridded-zarrs/gaussian_grid_45_by_90/4xCO2-ic_0004
4xCO2-ic_0005: gs://vcm-ml-raw-flexible-retention/2024-07-03-C96-SHiELD-SOM/regridded-zarrs/gaussian_grid_45_by_90/4xCO2-ic_0005
data_output_directory: gs://vcm-ml-intermediate/2024-07-09-vertically-resolved-4deg-c96-shield-som-ensemble-fme-dataset
data_output_directory: gs://vcm-ml-intermediate/2026-01-28-vertically-resolved-4deg-c96-shield-som-ensemble-fme-dataset
stats:
output_directory: gs://vcm-ml-intermediate/2024-07-09-vertically-resolved-4deg-c96-shield-som-ensemble-fme-dataset-stats
beaker_dataset: 2024-07-09-vertically-resolved-4deg-fme-c96-shield-som-ensemble-dataset-stats
output_directory: gs://vcm-ml-intermediate/2026-01-28-vertically-resolved-4deg-c96-shield-som-ensemble-fme-dataset-stats
beaker_dataset: 2026-01-28-vertically-resolved-4deg-fme-c96-shield-som-ensemble-dataset-stats
# These datasets already exclude the one-year divergence period for each
# ensemble member, so we can use data from all times when computing the
# stats.
Expand Down Expand Up @@ -127,3 +127,92 @@ dataset_computation:
- global_mean_co2
standard_names:
total_frozen_precip_rate: None
time_coarsen:
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@Arcomano1234 Arcomano1234 Mar 19, 2026

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Question: For the time coarsening this creates 2 datasets correct? One with the original time resolution and the other daily or do we already this dataset at 4deg and 6 hourly?

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@spencerkclark spencerkclark Mar 20, 2026

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Correct, this full YAML file defines two datasets: one at the native temporal resolution and one coarsened to daily resolution. The time-coarsened dataset is derived from the native resolution dataset, so the native resolution dataset must be computed first.

This can all be handled automatically, as I took advantage of in compute-fme-dataset-ensemble-74plc, thanks to @mcgibbon's work in #891:

Details 

STEP                                          TEMPLATE                        PODNAME                                        DURATION  MESSAGE
 ✔ compute-fme-dataset-ensemble-74plc         compute-fme-dataset-ensemble
 ├─┬─✔ compute-fme-dataset-individual(0:0)    compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-3739697141  8m
 │ ├─✔ compute-fme-dataset-individual(1:1)    compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-1084221249  20m
 │ ├─✔ compute-fme-dataset-individual(2:2)    compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-1804246013  14m
 │ ├─✔ compute-fme-dataset-individual(3:3)    compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-3022590609  12m
 │ ├─✔ compute-fme-dataset-individual(4:4)    compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-1166380877  12m
 │ ├─✔ compute-fme-dataset-individual(5:5)    compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-122836337   12m
 │ ├─✔ compute-fme-dataset-individual(6:6)    compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-2895883749  20m
 │ ├─✔ compute-fme-dataset-individual(7:7)    compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-966649729   13m
 │ ├─✔ compute-fme-dataset-individual(8:8)    compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-3653829861  13m
 │ ├─✔ compute-fme-dataset-individual(9:9)    compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-1517009281  12m
 │ ├─✔ compute-fme-dataset-individual(10:10)  compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-3077512735  12m
 │ ├─✔ compute-fme-dataset-individual(11:11)  compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-1416641317  12m
 │ ├─✔ compute-fme-dataset-individual(12:12)  compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-2023206419  16m
 │ ├─✔ compute-fme-dataset-individual(13:13)  compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-1048689509  11m
 │ ├─✔ compute-fme-dataset-individual(14:14)  compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-2494195159  20m
 │ ├─✔ compute-fme-dataset-individual(15:15)  compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-644008053   12m
 │ └─✔ compute-fme-dataset-individual(16:16)  compute-fme-dataset-individual  compute-fme-dataset-ensemble-74plc-1597493907  20m
 ├─┬─✔ time-coarsen(0:0)                      time-coarsen                    compute-fme-dataset-ensemble-74plc-1485623714  18m
 │ ├─✔ time-coarsen(1:1)                      time-coarsen                    compute-fme-dataset-ensemble-74plc-1821665790  16m
 │ ├─✔ time-coarsen(2:2)                      time-coarsen                    compute-fme-dataset-ensemble-74plc-621021970   16m
 │ ├─✔ time-coarsen(3:3)                      time-coarsen                    compute-fme-dataset-ensemble-74plc-3544939766  19m
 │ ├─✔ time-coarsen(4:4)                      time-coarsen                    compute-fme-dataset-ensemble-74plc-503450450   17m
 │ ├─✔ time-coarsen(5:5)                      time-coarsen                    compute-fme-dataset-ensemble-74plc-532802790   15m
 │ ├─✔ time-coarsen(6:6)                      time-coarsen                    compute-fme-dataset-ensemble-74plc-2860048386  18m
 │ ├─✔ time-coarsen(7:7)                      time-coarsen                    compute-fme-dataset-ensemble-74plc-950835150   15m
 │ ├─✔ time-coarsen(8:8)                      time-coarsen                    compute-fme-dataset-ensemble-74plc-4278124130  18m
 │ ├─✔ time-coarsen(9:9)                      time-coarsen                    compute-fme-dataset-ensemble-74plc-2254453822  18m
 │ ├─✔ time-coarsen(10:10)                    time-coarsen                    compute-fme-dataset-ensemble-74plc-2173696884  17m
 │ ├─✔ time-coarsen(11:11)                    time-coarsen                    compute-fme-dataset-ensemble-74plc-3899484094  23m
 │ ├─✔ time-coarsen(12:12)                    time-coarsen                    compute-fme-dataset-ensemble-74plc-2344054628  36m
 │ ├─✔ time-coarsen(13:13)                    time-coarsen                    compute-fme-dataset-ensemble-74plc-1270002754  32m
 │ ├─✔ time-coarsen(14:14)                    time-coarsen                    compute-fme-dataset-ensemble-74plc-654989764   32m
 │ ├─✔ time-coarsen(15:15)                    time-coarsen                    compute-fme-dataset-ensemble-74plc-4096070886  31m
 │ └─✔ time-coarsen(16:16)                    time-coarsen                    compute-fme-dataset-ensemble-74plc-2769767140  32m
 ├─┬─✔ get-stats(0:0)                         get-stats                       compute-fme-dataset-ensemble-74plc-957368618   5m
 │ ├─✔ get-stats(1:1)                         get-stats                       compute-fme-dataset-ensemble-74plc-1597225830  6m
 │ ├─✔ get-stats(2:2)                         get-stats                       compute-fme-dataset-ensemble-74plc-3313966554  5m
 │ ├─✔ get-stats(3:3)                         get-stats                       compute-fme-dataset-ensemble-74plc-3011461790  6m
 │ ├─✔ get-stats(4:4)                         get-stats                       compute-fme-dataset-ensemble-74plc-3196395034  4s
 │ ├─✔ get-stats(5:5)                         get-stats                       compute-fme-dataset-ensemble-74plc-3008347342  6m
 │ ├─✔ get-stats(6:6)                         get-stats                       compute-fme-dataset-ensemble-74plc-184258058   12m
 │ ├─✔ get-stats(7:7)                         get-stats                       compute-fme-dataset-ensemble-74plc-3106895926  11m
 │ ├─✔ get-stats(8:8)                         get-stats                       compute-fme-dataset-ensemble-74plc-524580586   10m
 │ ├─✔ get-stats(9:9)                         get-stats                       compute-fme-dataset-ensemble-74plc-1164437798  3m
 │ ├─✔ get-stats(10:10)                       get-stats                       compute-fme-dataset-ensemble-74plc-94035516    5m
 │ ├─✔ get-stats(11:11)                       get-stats                       compute-fme-dataset-ensemble-74plc-1709874022  6m
 │ ├─✔ get-stats(12:12)                       get-stats                       compute-fme-dataset-ensemble-74plc-2534945292  10m
 │ ├─✔ get-stats(13:13)                       get-stats                       compute-fme-dataset-ensemble-74plc-924009610   12m
 │ ├─✔ get-stats(14:14)                       get-stats                       compute-fme-dataset-ensemble-74plc-845880428   12m
 │ ├─✔ get-stats(15:15)                       get-stats                       compute-fme-dataset-ensemble-74plc-311478030   12m
 │ └─✔ get-stats(16:16)                       get-stats                       compute-fme-dataset-ensemble-74plc-106763308   6m
 ├───✔ combine-stats                          combine-stats                   compute-fme-dataset-ensemble-74plc-781128177   3m
 └───✔ upload-beaker-stats                    upload-beaker-stats             compute-fme-dataset-ensemble-74plc-2322081493  6s

factor: 4
data_output_directory: gs://vcm-ml-intermediate/2026-01-28-vertically-resolved-4deg-daily-c96-shield-som-ensemble-fme-dataset
stats_output_directory: gs://vcm-ml-intermediate/2026-01-28-vertically-resolved-4deg-daily-c96-shield-som-ensemble-fme-dataset-stats
snapshot_names:
- PRESsfc
- Q2m
- RH200
- RH500
- RH850
- TMP200
- TMP2m
- TMP500
- TMP850
- UGRD10m
- UGRD200
- UGRD500
- UGRD850
- VGRD10m
- VGRD200
- VGRD500
- VGRD850
- air_temperature_0
- air_temperature_1
- air_temperature_2
- air_temperature_3
- air_temperature_4
- air_temperature_5
- air_temperature_6
- air_temperature_7
- eastward_wind_0
- eastward_wind_1
- eastward_wind_2
- eastward_wind_3
- eastward_wind_4
- eastward_wind_5
- eastward_wind_6
- eastward_wind_7
- h50
- h500
- h850
- land_fraction
- northward_wind_0
- northward_wind_1
- northward_wind_2
- northward_wind_3
- northward_wind_4
- northward_wind_5
- northward_wind_6
- northward_wind_7
- ocean_fraction
- sea_ice_fraction
- soil_moisture_0
- soil_moisture_1
- soil_moisture_2
- soil_moisture_3
- specific_total_water_0
- specific_total_water_1
- specific_total_water_2
- specific_total_water_3
- specific_total_water_4
- specific_total_water_5
- specific_total_water_6
- specific_total_water_7
- surface_temperature
- total_water_path
window_names:
- DLWRFsfc
- DSWRFsfc
- DSWRFtoa
- LHTFLsfc
- PRATEsfc
- SHTFLsfc
- ULWRFsfc
- ULWRFtoa
- USWRFsfc
- USWRFtoa
- global_mean_co2
- prescribed_mixed_layer_depth
- prescribed_qflux
- tendency_of_total_water_path
- tendency_of_total_water_path_due_to_advection
- total_frozen_precipitation_rate
constant_prefixes:
- ak_
- bk_
- HGTsfc
- grid_xt
- grid_yt
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