| format_version: ml_modis_npz_v1 |
| data: |
| path: data/ml_modis_fake.npz |
| samples: 1400 |
| years: [2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020] |
| months: [9, 10] |
| platforms: [Terra, Aqua] |
| dimensions: |
| predictors: 114 |
| targets: 4 |
| variables: |
| profile: |
| names: [temperature, specific_humidity, relative_humidity, u_wind, v_wind, omega, geopotential, cloud_liquid, cloud_fraction] |
| pressure_levels_hpa: [1000, 950, 900, 850, 800, 750, 700, 650, 600, 550] |
| count: 90 |
| single_level: |
| names: [sst, surface_pressure, mslp, skin_temperature, t2m, d2m, u10, v10, surface_solar_radiation, surface_thermal_radiation, latent_heat_flux, sensible_heat_flux, boundary_layer_height, total_column_water_vapour, total_column_cloud_liquid, cape, cin, low_cloud_cover, sea_ice_fraction, precipitation, cos_sza, latitude, longitude, platform_hour] |
| count: 24 |
| targets: |
| names: [Nd, reff, LWP, CF] |
| units: [cm-3, um, g-m-2, fraction] |
| coordinates: |
| latitude_degrees_north: [45, 75] |
| longitude_degrees_east: [-60, 30] |
| model: |
| trees: 12 |
| max_depth: 9 |
| min_leaf: 7 |
| max_features: 38 |
| bootstrap_fraction: 0.6 |
| split_candidates: 12 |
| paper_model: |
| trees: 100 |
| max_depth: null |
| min_leaf: 7 |
| max_features: 38 |
| bootstrap_fraction: 0.6 |
| split_candidates: 12 |
| train: |
| excluded_year: 2014 |
| independent_models: 8 |
| runtime: |
| seed: 20220908 |
| device: cpu |
| distributed_backend: gloo |
| paths: |
| checkpoint: result/checkpoints/ml_modis.pt |
| training_metrics: result/training/metrics.json |
| predictions: result/output/predictions.npz |
| evaluation_dir: result/evaluation |
| evaluation: |
| cloud_albedo: 0.38 |
| clear_sky_ocean_albedo: 0.07 |
| importance_top_k: 10 |
| figure_dpi: 150 |
|
|
