Neighborhood methods to deal with unresolved scales of motion and systematic errors in the assimilation of cloud-affected satellite radiances

Description Dataset to accompany the manuscript "Dealing with unresolved scales of motion and systematic errors in the assimilation of cloud-affected satellite radiances" Contains A copy of the code that was used to process, analyze, and create figures, also available at https://gitlab.phaidra.org/dataassimilation/cloudfractionda A copy of the DART-WRF repository, used for running the data assimilation experiments, also available at https://gitlab.phaidra.org/dataassimilation/DART-WRF Data to reproduce results, as far as not contained in the above:- Observations derived from 250-m LES at 1km resolution (nat_250m_obs1km)- Truth from 250-m LES, block-averaged to 2-km resolution (in observation space, called nat_250m_blockavg2km)- Geo_em of observation grid at 1 km: geo_em.d01.nc.250m-1km_400x400- Geo_em of the forecast grid at 2 km: geo_em.d01.nc.2km_200x200- Prior ensemble: exp_nat250m_noDA wrfinput at 08:00 - Per experiment, assimilation diagnostics (obs_seq.final), configuration, control script, and verification scores (csv format) The experiments in the paper- NoDA = exp_nat250m_noDA- Thinning-VIS- Superob-VIS- Cloudfrac-VIS- Thinning-IR- Superob-IR- Cloudfrac-IR- Multiscale delta superob-IR- Multiscale delta superob-VIS- Multiscale delta cloudfrac-IR- Multiscale delta cloudfrac-VIS