Algorithm to accompany "Tropospheric ice in a warming world" by Dou et al. (2025)
收藏资源简介:
This project includes several main data processing algorithms used in this study. These include algorithms for extracting deep convection events from ERA5 reanalysis data and TRMM satellite data, as well as algorithms for calculating ice content from JRA55 and MERRA2 reanalysis data and CALIPSO lidar observation data. The following is an introduction to each code file: - “ERA5_diff_threshold_deep_convection_events_algorithms.py” is the code for extracting deep convection events from the ERA5 reanalysis data for the period 1979–2021 using a threshold-based method.- “TRMM_deep_convection_events_algorithms.py” is the code for extracting deep convection events from the TRMM satellite data for the period 1998–2013 using a threshold-basedmethod.- “JRA55_ice.py” is the code for calculating the ice content from the JRA55 reanalysis data for the period 1979–2021.- “MERRA2_ice.py” is the code for calculating the ice content from the MERRA2 reanalysis data for the period 1980–2021.- “calipso_iwc_algorithms.py” is the code for calculating the ice content from the CALIPSO lidar observation data for the period 2007–2019.
本项目包含本研究中所采用的多款核心数据处理算法,涵盖从ERA5再分析数据(ERA5 reanalysis data)与TRMM卫星数据(TRMM satellite data)中提取深对流事件的算法,以及从JRA55再分析数据(JRA55 reanalysis data)、MERRA2再分析数据(MERRA2 reanalysis data)与CALIPSO激光雷达观测数据(CALIPSO lidar observation data)中计算冰含量的算法。以下为各代码文件的详细说明: - "ERA5_diff_threshold_deep_convection_events_algorithms.py":采用阈值法从1979—2021年的ERA5再分析数据中提取深对流事件的代码。 - "TRMM_deep_convection_events_algorithms.py":采用阈值法从1998—2013年的TRMM卫星数据中提取深对流事件的代码。 - "JRA55_ice.py":用于从1979—2021年的JRA55再分析数据中计算冰含量的代码。 - "MERRA2_ice.py":用于从1980—2021年的MERRA2再分析数据中计算冰含量的代码。 - "calipso_iwc_algorithms.py":用于从2007—2019年的CALIPSO激光雷达观测数据中计算冰含量的代码。



