This data includes the maximum 24h precipitation values of all sub watershed units along the Sichuan Tibet railway and its surrounding areas. According to the original data of the hourly observation data of China ground meteorological station, the frequency of the annual maximum 24h precipitation sequence in the assessment area is calculated. The data are accumulated according to the hourly rainfall process of each grid point from 1979 to 2018 to obtain the maximum 24h precipitation sequence year by year, fit the precipitation frequency curve of the assessment area, obtain the maximum 24h precipitation value once in ten years, and use GIS to make statistics to the sub watershed assessment unit. It can be used in the fields of weather and climate monitoring, climate change research, model test and hydrological forecast along and around the Sichuan Tibet railway.

File naming and required software

Document name: the maximum 24h precipitation of Sichuan Tibet line and its surrounding areas once in ten years (1950s-2010s), the maximum 24h precipitation of Sichuan Tibet line and its surrounding areas once in 20 years (1950s-2010s), and the maximum 24h precipitation of Sichuan Tibet line and its surrounding areas once in 100 years (1950s-2010s)
Data reading method: Based on GIS platform

Data Citations Data citation guideline What's data citation?

Cite as:

Wang, Z. (2022). The maximum 24h precipitation in Sichuan Tibet line and surrounding areas for many years (1950s-2010s). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.272499. CSTR: 18406.11.Atmos.tpdc.272499. (Download the reference： RIS | 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

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

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