This data set is based on the lightning location data calculation of TBB products, cloud classification (CLC) products and world wide lightning location network (wwlln) in the full disk area detected by fy-2e satellite (fy-2e) from 2010 to 2018 to establish the lightning storm cloud feature data set. The algorithm used for wwlln lightning clustering is DBSCAN algorithm. According to Hutchins et al. (2014), it is required that the number of lightning in each lightning cluster in the thunderstorm cloud is greater than 2 and all fall within the radius of 12 km. The data set includes thunderstorm cloud time and location information, thunderstorm cloud shape (long, short axis, rotation angle, etc.) information represented by fitting ellipse, cloud area representing thunderstorm cloud structure, statistical value of black body temperature (TBB), included flash information, and included strong convection core, lightning cluster information and other data information.

File naming and required software

File naming: it is stored in the structure data format of mat format data. The file name is "yyyymmdd_hhmm.mat", and yyyymmddhhmm respectively represents the time corresponding to the data (universal time, UTC): year, month, day, hour, minute, for example, 20100112_ 0000 means 0:00 on January 12, 2010.
Data reading method: the format of data file is mat file, which is a standard binary file and the standard format of MATLAB data storage. When reading data, you can directly use matlab to read. Some codes for data reading are as follows:
%Reading of single parameter
filepath=’\dataset\YYYY\YYYYMMDD_ hhmm. mat’;% Data path
load(path);% Open the data file
Area=TSC(1). Area；% Read the area of the first thunderstorm cloud
WWLLN_ lon=TSC(1). WWLLNstroke(:,8); % Read the longitude information of all lightning in the first thunderstorm cloud
S52_ Area=TSC(1). S52(2). Area; % Read the area of the first strong convection core in the first thunderstorm cloud

Data Citations Data citation guideline What's data citation?

Cite as:

Ma, R., Zheng, D. (2022). Thunderstorm cloud characteristic data set in China and surrounding areas (2010-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.272622. CSTR: 18406.11.Atmos.tpdc.272622. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Du, Y., Zheng, D., & Ma, R., et al. (2022). Thunderstorm activity over the Qinghai–Tibet Plateau indicated by the combined data of the FY-2E geostationary satellite and WWLLN. Submitted to Remote Sensing.（提交该数据集时已接收）( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Second Tibetan Plateau Scientific Expedition Program

Copyright & License

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)