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数据集说明 本数据集配套于论文《云影响卫星辐射资料同化中未解析运动尺度与系统误差的处理》。 本数据集包含以下内容： 1. 用于数据处理、分析及绘图的代码副本，该代码亦可通过链接 https://gitlab.phaidra.org/dataassimilation/cloudfractionda 获取； 2. 用于运行资料同化试验的DART-WRF代码仓库副本，该仓库亦可通过链接 https://gitlab.phaidra.org/dataassimilation/DART-WRF 获取； 3. 用于复现研究结果的补充数据（未包含于上述内容中）： - 由250米分辨率大涡模拟（Large Eddy Simulation, LES）衍生、分辨率为1千米的观测数据（nat_250m_obs1km）； - 源自250米分辨率大涡模拟、经块平均至2千米分辨率的真值数据（位于观测空间中，命名为nat_250m_blockavg2km）； - 1千米分辨率观测网格的地理数据文件（Geo_em）：geo_em.d01.nc.250m-1km_400x400； - 2千米分辨率预报网格的地理数据文件（Geo_em）：geo_em.d01.nc.2km_200x200； - 先验集合：08:00时刻的exp_nat250m_noDA wrfinput文件； - 各试验对应的同化诊断文件（obs_seq.final）、配置文件、控制脚本及csv格式的验证评分。 论文中涉及的试验如下： - NoDA（无资料同化试验）：exp_nat250m_noDA - Thinning-VIS（可见光稀疏化试验） - Superob-VIS（可见光超级观测试验） - Cloudfrac-VIS（可见光云量同化试验） - Thinning-IR（红外稀疏化试验） - Superob-IR（红外超级观测试验） - Cloudfrac-IR（红外云量同化试验） - Multiscale delta superob-IR（多尺度差分红外超级观测试验） - Multiscale delta superob-VIS（多尺度差分可见光超级观测试验） - Multiscale delta cloudfrac-IR（多尺度差分红外云量同化试验） - Multiscale delta cloudfrac-VIS（多尺度差分可见光云量同化试验）