Data for the publication "Incorporation of inline warm rain diagnostics into the COSP2 satellite simulator for process-oriented model evaluation"

Michibata et al. (2019), currently under peer-review for publication in Geoscientific Model Development, incorporated a diagnostic tool for warm rain microphysics into the CFMIP Observation Simulator Package (COSP; Bodas-Salcedo et al. 2011; Swales et al., 2018), designed to evaluate model representations of aerosol–cloud–precipitation interactions at a fundamental process-level. The tool automatically generates two diagnostics related to warm rain microphysics during COSP execution in a host model. One is the contoured frequency by optical depth diagram (CFODD), which visualizes a cloud-to-rain microphysical vertical structure (Suzuki et al., 2015). The other diagnostic is a global map of warm rain fraction classified as non-precipitating clouds (< –15 dBZe), drizzling clouds (–15 < dBZe< 0), and precipitating clouds (0 < dBZe). This repository contains the MIROC6/COSP2 input data and A-Train satellite statistics used in Michibata et al. (2019). A sample of the post-processing scripts for visualization using the GrADS software is also included in this repository.

Michibata等人（2019）的相关研究目前正处于《Geoscientific Model Development》（地球科学模式发展）的同行评审阶段，其团队将暖云微物理诊断工具整合进CFMIP观测模拟器包（CFMIP Observation Simulator Package, COSP；Bodas-Salcedo等，2011；Swales等，2018）中。该工具旨在从基础过程层面评估气溶胶-云-降水相互作用的模式表征能力，可在宿主模式运行COSP时自动生成两项与暖云微物理相关的诊断结果：其一为光学厚度等高线频率图（contoured frequency by optical depth diagram, CFODD），可可视化云向雨转化过程中的微物理垂直结构（Suzuki等，2015）；其二为暖云占比全球分布图，该图将云划分为三类：非降水云（< –15 dBZe）、毛毛雨云（–15 < dBZe < 0）以及降水云（0 < dBZe）。本仓库包含Michibata等（2019）研究中使用的MIROC6/COSP2输入数据与A-Train卫星统计数据集，同时附带了使用GrADS软件进行可视化的后处理脚本示例。