The 100m×100m fine distribution of the climate mean annual precipitation in the upper and middle reaches of the Heihe River Basin (1967-2008)- A Big Earth Data Platform for Three Poles

Based on DEM data of high precision, the relationship between the average monthly precipitation of climate in the middle and upper reaches of heihe river basin and geographical topographical factors was statistically analyzed, and the average monthly precipitation of climate in the middle and upper reaches of heihe river basin with a spatial resolution of 100m was obtained.

The coordinate system is equal latitude and longitude projection, and the spatial scope is heihe river basin.The data is given in TXT text form, and the corresponding longitude, latitude and monthly precipitation of the spatial grid points are given respectively.The unit of longitude and latitude is °, and the unit of precipitation is mm.The data type is a single-precision floating-point type with an invalid value of -9.

File naming and required software

File name: the data is stored in the text format TXT, and the file named "average MMM precipitation in the middle and upper reaches of heihe river basin. txt",For example"average precipitation in the middle and upper reaches of the heihe river basin in January. txt" stands for average precipitation in January.
Data reading method: can be opened directly with the text program (notepad), if you want to use a graphic to display, the use of Arcgis open, in the process of reading will generate grid format file, the grid file is the TXT file graphics.

Data Citations Data citation guideline What's data citation?

Cite as:

Wang, K. (2014). The 100m×100m fine distribution of the climate mean annual precipitation in the upper and middle reaches of the Heihe River Basin (1967-2008). A Big Earth Data Platform for Three Poles, DOI: 10.3972/heihe.033.2014.db. CSTR: 18406.11.heihe.033.2014.db. (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

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