NEDAS QG model benchmarks

"truth" directory contains the QG model state from the nature run. "prior" directory contains the ensemble prior states for the 400 members. "code" directory contains: "run.sh" that is submitted to supercomputer job queue to perform the analysis jupyter notebooks contain steps that created the figures "default" is a source file for environment variables "benchmark" directory contains data output from the analysis, ${assim_mode}/n${nens}/dx${grid_dx}_dz${grid_dz}/no${nobs}/roi_${hroi}_${vroi}/np${nproc}/try$i/ are directories containing the output from a case with specified parameters: assim_mode = batch or serial nens is the ensemble size grid_dx and grid_dz determine the model grid size nobs is the number of observations hroi and vroi are the horizontal and vertical localization distances nproc is the number of processors try$i is the i-th random realization for the same setting (5 tries are stored in this dataset) The NEDAS main branch (commit 27da8d81656ae7f2fa6cdfba28838e89d20eda90) is the version that performed this benchmarking.`truth` 目录存放自然运行场景下的准地转（QG）模型状态。 `prior` 目录包含400个集合成员的集合先验状态。 `code` 目录包含如下内容： 用于提交至超级计算机作业队列以执行分析的`run.sh`脚本； 配套Jupyter Notebook文档详述了生成所有绘图结果的完整流程； `default`为环境变量的配置源文件。 `benchmark` 目录存放分析产出的输出数据，其下的`${assim_mode}/n${nens}/dx${grid_dx}_dz${grid_dz}/no${nobs}/roi_${hroi}_${vroi}/np${nproc}/try$i/`目录对应一组指定参数下的案例输出结果，各参数含义如下： `assim_mode` 取值为批处理（batch）或串行（serial）； `nens` 代表集合规模； `grid_dx`与`grid_dz`用于确定模型网格尺寸； `nobs` 为观测点总数； `hroi`与`vroi`分别表示水平与垂直局域化距离； `nproc` 为所用处理器核心数； `try$i` 代表同一参数设置下的第$i$次随机试验，本数据集共存储5组重复试验结果。 本基准测试所用的NEDAS主分支版本为提交号27da8d81656ae7f2fa6cdfba28838e89d20eda90的代码版本。