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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,63 @@ | ||
| name: MERIT | ||
| data_path: /projects/mhpi/data/${name} | ||
| zone: 74 | ||
| gpu: 6 | ||
| create_edges: | ||
| buffer: 0.3334 | ||
| dx: 2000 | ||
| edges: ${data_path}/zarr/graph/CONUS/edges/ | ||
| flowlines: ${data_path}/raw/flowlines | ||
| create_N: | ||
| run_whole_zone: False | ||
| drainage_area_treshold: 0.1 | ||
| filter_based_on_dataset: True | ||
| gage_buffered_flowline_intersections: ${data_path}/gage_information/gage_flowline_intersections/gnn_dataset_v1_2.shp | ||
| gage_coo_indices: ${data_path}/zarr/gage_coo_indices | ||
| pad_gage_id: False | ||
| obs_dataset: ${data_path}/gage_information/obs_csvs/GRDC_point_data.csv | ||
| obs_dataset_output: ${data_path}/gage_information/formatted_gage_csvs/gnn_formatted_basins.csv | ||
| zone_obs_dataset: ${data_path}/gage_information/formatted_gage_csvs/subzones.csv | ||
| create_TMs: | ||
| MERIT: | ||
| save_sparse: True | ||
| TM: ${data_path}/zarr/TMs/sparse_MERIT_FLOWLINES_${zone} | ||
| shp_files: ${data_path}/raw/basins/cat_pfaf_${zone}_MERIT_Hydro_v07_Basins_v01_bugfix1.shp | ||
| create_streamflow: | ||
| version: merit_conus_v6.18_snow | ||
| data_store: ${data_path}/streamflow/zarr/${create_streamflow.version}/${zone} | ||
| obs_attributes: ${data_path}/gage_information/MERIT_basin_area_info | ||
| predictions: /projects/mhpi/yxs275/DM_output/water_loss_model/dPL_local_daymet_new_attr_RMSEloss_with_log_2800 | ||
| start_date: 01-01-1980 | ||
| end_date: 12-31-2020 | ||
| map_lake_points: | ||
| lake_points: /projects/mhpi/data/hydroLakes/merit_intersected_data/RIV_lake_intersection_${zone}.shp | ||
| zarr: /projects/mhpi/data/hydroLakes/hydrolakes.zarr | ||
| extensions: | ||
| - soils_data | ||
| - pet_forcing | ||
| - global_dhbv_static_inputs | ||
| - incremental_drainage_area | ||
| - q_prime_sum | ||
| - upstream_basin_avg_mean_p | ||
| - q_prime_sum_stats | ||
| - lstm_stats | ||
| - temp_mean | ||
| # Hydra Config ------------------------------------------------------------------------# | ||
| hydra: | ||
| help: | ||
| app_name: marquette | ||
| header: == ${hydra.help.app_name} == | ||
| template: |- | ||
| ${hydra.help.header} | ||
| A data pipeline tool used to generate inputs to dMC river routing | ||
| By Tadd Bindas | ||
|
|
||
| ${hydra.help.footer} | ||
| footer: |- | ||
| Powered by Hydra (https://hydra.cc) | ||
| Use --hydra-help to view Hydra specific help | ||
| job: | ||
| name: ${name} | ||
| run: | ||
| dir: ../runs/${hydra.job.name}_${zone}/${now:%Y-%m-%d_%H-%M-%S} |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,5 +1,35 @@ | ||
| [project] | ||
| name = "marquette" | ||
| authors = [ | ||
| {name = "Tadd Bindas", email = "[email protected]"}, | ||
| ] | ||
| dynamic = ["version", "dependencies"] | ||
|
|
||
| [tool.setuptools.dynamic] | ||
| dependencies = [ | ||
| "icechunk==0.1.0a7", | ||
| "zarr==3.0.0b2", | ||
| "packaging==24.2", | ||
| "git+https://github.com/pydata/xarray", | ||
| "s3fs==2024.10.0", | ||
| ] | ||
|
|
||
| [project.optional-dependencies] | ||
| test = [ | ||
| "pytest==8.3.2", | ||
| ] | ||
| jupyter = [ | ||
| "contextily==1.6.0", | ||
| "matplotlib>=3.7.0,<3.8.0", | ||
| "ipykernel>=6.29.0,<7.0.0", | ||
| "jupyterlab>=3.6.7,<4.0.0", | ||
| "xarray>=2024.1.1", | ||
| "matplotlib-inline>=0.1.6" | ||
| ] | ||
|
|
||
| [tool.ruff] | ||
| exclude = [ | ||
| "./tests*", | ||
| "./scripts*", | ||
| "./notebooks*", | ||
| ] |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,31 @@ | ||
| # import icechunk | ||
| import xarray as xr | ||
| import zarr | ||
| import s3fs | ||
|
|
||
| def main(): | ||
| # storage_config = icechunk.StorageConfig.s3_from_env( | ||
| # bucket="mhpi-spatial", | ||
| # prefix="marquette/merit/quickstart", | ||
| # region="us-east-2", | ||
| # endpoint_url=None | ||
| # ) | ||
| # store = icechunk.IcechunkStore.create(storage_config) | ||
| ds = xr.open_zarr("/projects/mhpi/data/MERIT/streamflow/zarr/merit_conus_v6.18_snow/74") | ||
|
|
||
| ds1 = ds.isel(time=slice(None, 18)) # part 1 | ||
| ds1.to_zarr('s3://mhpi-spatial/marquette/merit/test1/', mode='w') | ||
| # storage_config = icechunk.StorageConfig.s3_from_env( | ||
| # bucket="mhpi-spatial", | ||
| # prefix="marquette/merit/quickstart", | ||
| # region="us-east-2", | ||
| # endpoint_url=None, | ||
| # ) | ||
| # store = icechunk.IcechunkStore.create(storage_config) | ||
| # group = zarr.group(store) | ||
| # array = group.create("my_array", shape=10, dtype=int) | ||
| # array[:] = 1 | ||
| # store.commit("first commit") | ||
|
|
||
| if __name__ == "__main__": | ||
| main() |