Open Darren-Ray opened 1 year ago
Hi, Thanks for the nice package. I am running bias_correction v0.4 in a Miniconda virtual environment with Python3.11. The monthly rainfall dataset I am using works for the basic_quantile and modified quantile
ds = xr.open_dataset("LME_GPCC_monthly_rainfall.nc") xbc = XBiasCorrection(ds['obs_data'], ds['model_data'], ds['sce_data']) BCda1 = xbc.correct(method='basic_quantile')
but with quantile_mapping returns:
ValueError: zero-size array to reduction operation minimum which has no identity
and the normal_mapping returns: ValueError: array must not contain infs or NaNs
LME_GPCC_monthly_rainfall.zip
Hi, Thanks for the nice package. I am running bias_correction v0.4 in a Miniconda virtual environment with Python3.11. The monthly rainfall dataset I am using works for the basic_quantile and modified quantile
ds = xr.open_dataset("LME_GPCC_monthly_rainfall.nc") xbc = XBiasCorrection(ds['obs_data'], ds['model_data'], ds['sce_data']) BCda1 = xbc.correct(method='basic_quantile')
but with quantile_mapping returns:
ValueError: zero-size array to reduction operation minimum which has no identity
and the normal_mapping returns: ValueError: array must not contain infs or NaNs
LME_GPCC_monthly_rainfall.zip