High temporal and spatial resolution precipitation data of Upper Brahmaputra River Basin (1981-2019)- A Big Earth Data Platform for Three Poles

This data set is the version 2 of "High temporal and spatial resolution precipitation data of Upper Brahmaputra River Basin (1981-2016) ", with additional data from 2017 to 2019.

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 1981-2019, 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 distribution 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. (2021). High temporal and spatial resolution precipitation data of Upper Brahmaputra River Basin (1981-2019). A Big Earth Data Platform for Three Poles, DOI: 10.5281/zenodo.4674289. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Wang, Y., Wang, L., Zhou, J., Yao, T., Yang, W., Zhong, X., Liu, R., Hu, Z., Luo, L., Ye, Q., Chen, N., & Ding, H. (2021). Vanishing Glaciers at Southeast Tibetan Plateau Have Not Offset the Declining Runoff at Yarlung Zangbo. Geophysical Research Letters, 48(21), e2021GL094651. https://doi.org/10.1029/2021GL094651( View Details | Bibtex)

2. 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.

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)