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ML offline diagnostics

Report created 2020-08-18 14:03:11 PDT

Metadata

batch_kwargs {'timesteps_per_batch': 10}
data_path gs://vcm-ml-experiments/2020-07-14-nudge-to-obs/nudge-to-obs-run
mapping_function open_merged_nudge_to_obs_full_tendencies
mapping_kwargs {'consolidated': True, 'open_checkpoints_kwargs': {'checkpoint_files': ['after_dynamics.zarr', 'after_physics.zarr']}, 'open_merged_nudge_to_obs_kwargs': {'rename_vars': {'grid_xt': 'x', 'grid_yt': 'y', 'pfull': 'z', 'q_dt_nudge': 'dQ2', 't_dt_nudge': 'dQ1'}}}
model_path gs://vcm-ml-experiments/2020-08-06-nudge-to-obs-proper-input/trained_model/sklearn_model.pkl
variables ['air_temperature', 'specific_humidity', 'dQ1', 'dQ2', 'pQ1', 'pQ2', 'pressure_thickness_of_atmospheric_layer']

Metrics

Variable r2 bias
column integrated dQ1 0.41 +/- 0.02 -0.57 +/- 1.07 [W/m^2]
column integrated Q1 0.94 +/- 0.00 1.81 +/- 1.61 [W/m^2]
column integrated dQ2 0.11 +/- 0.01 0.02 +/- 0.01 [mm/day]
column integrated Q2 0.80 +/- 0.01 0.00 +/- 0.01 [mm/day]

Timesteps used for testing

Pressure level metrics

Vertical profiles of predicted variables

Time averaged maps

Diurnal cycles of column integrated quantities