renku datasets and initial notebooks

git lfs track nc and zarr

add renku datasets notebook

add renku datasets:

• hindcast-like-observations_2000-2019_biweekly_deterministic
• forecast-like-observations_2020_biweekly_deterministic
• hindcast-like-observations_2000-2019_biweekly_tercile-edges
• hindcast-like-observations_2000-2019_biweekly_terciled
• forecast-like-observations_2020_biweekly_terciled
• ecmwf_forecast-input_2020_biweekly_deterministic
• ecmwf_hindcast-input_2000-2019_biweekly_deterministic

add verification notebook

add ML notebook based on weatherbench

link submission file to website

add reproducibility section below in training

how to deal with this dry mask? provide as renku dataset? now implicitly masked in categorized observations obs_p

benchmark working on renku: wait for climetlab release: week 5-6, tp and 2000-2019 dont wait

dont commit nc and zarr, only with git lfs

dont commit figures

create nc for files <100MB, zarr if >100MB?

justify if training takes more than a week

show RPS for all years

test & dry run

create one renku dataset with all files: s2s-ai-challenge

add mean bias reduction dataset