For the convenience of users, the data is stored in the format of TXT, one file per month. The name is "prec_integrated_yyyymm.txt", where yyyy represents the year and mm represents the month. Each file is internally stored with 248 (January, March, May, July, August, October, December), 240 (April, June, September, November), 224 or 232 (February) precipitation spatial distribution. The number of rows and columns of each file is 292 * 79, arranged in time sequence (0, 3, 6, 9...o'clock). Add the header file information to each image to open it with ArcGIS. The header file information is as follows:
WANG Yuanwei, WANG Lei, LI Xiuping, ZHOU Jing. High temporal and spatial resolution precipitation data of Upper Brahmaputra River Basin (1981-2016). A Big Earth Data Platform for Three Poles, 2020. doi: 10.11888/Meteoro.tpdc.270312. (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.
Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)
CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)
Synergistic change and runoff effect of vegetation, glacier and permafrost in the Upper Brahmaputra driven by climate change (No:91747201)
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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)
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|East: 98.00||West: 81.00|
|South: 27.00||North: 32.00|
Distributor： A Big Earth Data Platform for Three Poles
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LinksNational Tibetan Plateau Data Center