==== [1/4] real coarse Tx from txtm (native 1.5 deg) 2026-09-04 16:45:20 ==== 104 inits, 20 years, grid 13x10, to_ec15=False 2003 done 2004 done 2005 done 2006 done 2007 done 2008 done 2009 done 2010 done 2011 done 2012 done 2013 done 2014 done 2015 done 2016 done 2017 done 2018 done 2019 done 2020 done 2021 done 2022 done wrote outputs/real/tx_ec_1.5_real.nc (0.03 GB) tx range -4.0 .. 43.9 C ==== [2/4] real BCSD downscaling 2026-09-04 16:45:30 ==== coarse 13x10 -> fine 65x41 (20y x 104init x 46lead) land points: 541 bilinear done, arrays 1.02 GB each bcsd: 32 of 130 coarse cells contain land /home/tanpv/Progs/claude/HW_EC_10/src/downscale.py:228: RuntimeWarning: Mean of empty slice cclim = np.nanmean(obs_c[tr], axis=(0, 1)) # coarse OBS clim /home/tanpv/Progs/claude/HW_EC_10/src/downscale.py:229: RuntimeWarning: Mean of empty slice fclim = np.nanmean(obs[tr], axis=(0, 1)) # fine OBS clim bcsd fold 1/5 done bcsd fold 2/5 done bcsd fold 3/5 done bcsd fold 4/5 done bcsd fold 5/5 done bcsd: W1 RMSE=1.79 W2 RMSE=2.90 W3 RMSE=3.26 W4 RMSE=3.36 W5 RMSE=3.45 W6 RMSE=3.41 ALL RMSE=2.99 wrote outputs/downscale_real/baselines.json ==== [3/4] real 46-var predictor cube 2026-09-04 16:47:46 ==== 104 init dates, 20 years 2003 done 2004 done 2005 done 2006 done 2007 done 2008 done 2009 done 2010 done 2011 done 2012 done 2013 done 2014 done 2015 done 2016 done 2017 done 2018 done 2019 done 2020 done 2021 done 2022 done wrote outputs/real/ec15_predictors.nc (1.55 GB), 46 variables: ['cape', 'cp', 'd2m', 'gh1000', 'gh500', 'gh700', 'gh850', 'gh925', 'msl', 'q1000', 'q500', 'q700', 'q850', 'q925', 'skt', 'slhf', 'sm100', 'sm20', 'sp', 'sshf', 'ssr', 'ssrd', 'st100', 'st20', 'str', 'strd', 't2m', 't500', 't700', 't850', 't925', 'tcc', 'tcw', 'tp', 'ttr', 'u10', 'u500', 'u700', 'u850', 'u925', 'v10', 'v500', 'v700', 'v850', 'v925', 'w'] ==== [4/4] submit multi-node EHD on REAL inputs 2026-09-04 16:49:50 ==== array job: 1400966 (folds 0-4) reduce job: 1400967 (runs after array succeeds) ==== pipeline dispatched 2026-09-04 16:49:50 ====