WRF-DART/RTTOV input and (processed) output files for GMD-2022-30

The <em><strong>Exp-01.tar.gz ~ Exp-14.tar.gz (including true_processed.tar.gz and ctrl_processed.tar.gz) </strong></em>store the processed output files. Untarrring each of them will generate a list of subdirectories named after UTC time, txt files and netcdf files. (1) The subdirectories named after the UTC time. For example, 202008180200 denotes 02:00 UTC 18 August 2020. The subdirectory 202008180200 includes preassim_mean.nc and postassim_mean.nc files, which denote the prior and posterior estimates of cloud and non-cloud variables (and diagnosed variable). Both preassim_mean.nc and postassim_mean.nc include seven variables: CWP denotes the cloud water path (kg m^-2). CWC denotes the mixing ratio (kg kg^-1) of cloud hydrometers, including cloud droplet, rain, snow, ice, and graupel. P denotes the pressure (hPa), Re_CLOUD denotes the effective radius of liquid water clouds, QVAPOR denotes the water vapor mixing ratio, T denotes the perturbation potential temperature, U denotes the u-wind component, and V denotes the v-wind component. (2)Txt files which are the quantitative metrics of cloud and precipitation simulation errors. FSS_pre.txt and FSS_pos.txt store the fraction skill score for the prior and posterior estimates of cloud coverage. MAE_pre.txt and MAE_pos.txt store the Mean Absolute Error for the prior and posterior estimates of CWP. rain_TS_pre.txt and rain_TS_pos.txt store the TS scores for the prior and posterior estimates of precipitation. rain_MAE_pre.txt and rain_MAE_pos.txt store the MAE for the prior and posterior estimates of rain rate. (3) Netcdf files including mpe_mpi.nc, rain_pre.nc, and rain_pos.nc. mpe_mpi.nc includes the Mean Profile Error (MPE) for the prior and posterior estimates of non-cloud variables (Q, T, U, and V). rain_pre.nc and rain_pos.nc store the results for the prior and posterior estimates of rain rate (mm h^-1). The <em><strong>nature_run.tar.gz</strong></em> file contains the WRF output files for the nature run. The <em><strong>model_codes.tar.gz</strong></em> file includes the source code of WRF-ARW (v4.1.1), WPS (v4.1), RTTOV (v12.3), and DART (Manhattan release v9.8.0). The <em><strong>input_file.tar.gz</strong></em> file includes the input namelist files for the WRF/WPS/DART models (tool) for the nature run, control run, and fourteen cycled data assimilation experiments. In addition, the input observation sequence files for the DART tool at each analysis time are provided. The <em><strong>Figure_script.tar.gz</strong></em> file includes the visualization scripts of Figure 1~Figure 16 in the manuscript.**_Exp-01.tar.gz 至 Exp-14.tar.gz（包含true_processed.tar.gz与ctrl_processed.tar.gz）_** 存储经处理后的输出文件。对每个压缩包执行解压缩操作后，将生成若干以协调世界时（UTC）时间命名的子目录、TXT文件与NetCDF文件。 1. 以协调世界时（UTC）时间命名的子目录：例如，202008180200代表2020年8月18日02:00 UTC时刻。该子目录中包含preassim_mean.nc与postassim_mean.nc两个文件，分别对应云变量、非云变量（及诊断变量）的先验与后验估计结果。上述两个文件均包含7类变量：CWP代表云水量路径（Cloud Water Path），单位为kg·m⁻²；CWC代表云水凝物混合比（Cloud Water Content），单位为kg·kg⁻¹，涵盖云滴、降雨、降雪、冰晶与霰粒；P代表气压，单位为百帕（hPa）；Re_CLOUD代表液态云有效半径；QVAPOR代表水汽混合比；T代表扰动位温；U代表U方向风分量，V代表V方向风分量。 2. TXT文件：用于存储云与降水模拟误差的定量评估指标。其中：FSS_pre.txt与FSS_pos.txt存储云覆盖率先验与后验估计的分数技能得分（Fraction Skill Score，FSS）；MAE_pre.txt与MAE_pos.txt存储CWP先验与后验估计的平均绝对误差（Mean Absolute Error，MAE）；rain_TS_pre.txt与rain_TS_pos.txt存储降水先验与后验估计的TS评分（Threat Score，TS）；rain_MAE_pre.txt与rain_MAE_pos.txt存储降雨率先验与后验估计的平均绝对误差。 3. NetCDF文件：涵盖mpe_mpi.nc、rain_pre.nc与rain_pos.nc。其中：mpe_mpi.nc存储非云变量（Q、T、U、V）先验与后验估计的平均廓线误差（Mean Profile Error，MPE）；rain_pre.nc与rain_pos.nc存储降雨率（单位：mm·h⁻¹）先验与后验估计的结果。 **_nature_run.tar.gz_** 存储真实模拟的WRF（Weather Research and Forecasting）模式输出文件。 **_model_codes.tar.gz_** 包含WRF-ARW（v4.1.1版本）、WPS（v4.1版本）、RTTOV（v12.3版本）与DART（Manhattan版本v9.8.0）的源代码。 **_input_file.tar.gz_** 包含用于真实模拟、控制试验与14次循环数据同化试验的WRF/WPS/DART模式（工具）的输入namelist文件。此外，该压缩包还提供了每个分析时刻DART工具所需的输入观测序列文件。 **_Figure_script.tar.gz_** 包含论文中图1至图16的可视化脚本。