The basic data of hydrometeorology, land use and DEM were collected through the National Meteorological Information Center, the hydrological Yearbook, the China Statistical Yearbook and the Institute of geographical science and resources of the Chinese Academy of Sciences. The distributed time-varying gain hydrological model (DTVGM) with independent intellectual property rights is adopted for modeling, and the Qinghai Tibet Plateau is divided into 10937 sub basins with a threshold of 100 square kilometers. The daily flow data of 14 flow stations in Heihe River, Yarlung Zangbo River, Yangtze River source, Yellow River source, Yalong River, Minjiang River and Lancang River Basin were selected to draft and verify the model. The daily scale Naxi efficiency coefficient is above 0.7 and the correlation coefficient is above 0.8. The model simulates the water cycle process from 1998 to 2017, and gives the spatial and temporal distribution of 0.01 degree daily scale runoff in the whole Qinghai Tibet Plateau.

File naming and required software

File name: the runoff data is stored in NetCDF format. The name of the file is "yyyy mm. NC", where yyyy represents the year and mm represents the month. For example, 1997-01.nc represents this file to describe the runoff data of 31 days in January 1997, in mm.
Data reading method: all data in the data set can be read out by Python language, MATLAB language and other languages.

Data Citations Data citation guideline What's data citation?

Cite as:

Ye, A. (2022). Runoff spatiotemporal distribution products in the Qinghai Tibet Plateau (1998-2017). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272737. CSTR: 18406.11.Terre.tpdc.272737. (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.

References literature

1.XIA Jun, WANG Gangsheng, TAN Ge, YE Aizhong & G.H. Huang. Development of distributed time-variant gain model for nonlinear hydrological systems. Science in china series d:earth sciences, 2005, 48(6): 713-723 (View Details | Download )

2.Ye A, Duan Q, Zeng H, Li L, Wang C, 2010. A Distributed Time—Variant Gain Hydrological Model Based on Remote Sensing. Journal of Resources and Ecology 1, 222-30. (View Details | Download )

Support Program

CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)

Copyright & License

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