High temporal and spatial resolution precipitation data of Upper Brahmaputra River Basin (1981-2016)

This data set describes the temporal and spatial distribution of precipitation in the Upper Brahmaputra River Basin. We integrate (CMA, GLDAS, ITP-Forcing, MERRA2, TRMM) five sets of reanalysis precipitation products and satellite precipitation products, and combine the observation precipitation of 9 national meteorological stations from China Meteorological Administration (CMA) and 166 rain gauges of the Ministry of Water Resources (MWR) in the basin. The time range is 1981-2016, the time resolution is 3 hours, the spatial resolution is 5 km, and the unit is mm/h. The data will provide better data support for the study of Upper Brahmaputra River Basin, and can be used to study the response of hydrological process to climate change. Please refer to the instruction document uploaded with the data for specific usage information.

File naming and required software

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:
ncols 292
nrows 79
xllcorner 20968.258085928
yllcorner 3078203.0630637
cellsize 5000
NODATA_value -9999

Data Citations Data citation guideline What's data citation?
Cite as:

Wang, Y., Wang, L., Li, X., Zhou, J. (2020). High temporal and spatial resolution precipitation data of Upper Brahmaputra River Basin (1981-2016). A Big Earth Data Platform for Three Poles, DOI: https://doi.org/10.5281/zenodo.3711155. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Yuanwei Wang, Lei Wang*, Xiuping Li, Jing Zhou, Zhidan Hu (2020), An integration of gauge, satellite and reanalysis precipitation datasets for the largest river basin of the Tibetan Plateau, Earth System Science Data, 12, 1789–1803, https://doi.org/10.5194/essd-12-1789-2020.( View Details | Download | Bibtex)

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

Support Program

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)

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)

Related Resources

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FTP Download Info

Ftp server:

Ftp username: download_404177

Ftp password: 84772895

The volume of this dataset is bigger than 1 GB. Please use FTP client tools (Filezilla or other else).
Geographic coverage
East: 98.00 West: 81.00
South: 27.00 North: 32.00
  • Temporal resolution: Hourly
  • Spatial resolution: 1km - 10km
  • File size: 27,750 MB
  • Views: 3,170
  • Downloads: 88
  • Access: Open Access
  • Temporal coverage: 1981-01-17 To 2017-01-17
  • Updated time: 2021-04-19
: WANG Yuanwei   WANG Lei   LI Xiuping   ZHOU Jing  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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