雅鲁藏布江流域降水数据集(1981-2016)

数据集中文名称：雅鲁藏布江流域降水数据集(1981-2016)

English name of the Dataset: High temporal and spatial resolution precipitation data of Upper Brahmaputra River Basin (1981-2016)

下载说明：

雅鲁藏布江流域降水数据集(1981-2016)是中国科学院青藏高原研究所王磊研究员课题组的研究成果。

雅鲁藏布江流域降水数据集，在青藏高原数据中心（需注册）或者Zenodo（无需注册）都可以下载。

 Zenodo（无需注册直接下载）数据下载网址：https://zenodo.org/record/3641208

青藏高原数据中心（需注册）下载网址：https://data.tpdc.ac.cn/en/data

数据大小：2.6 Gb

数据说明：

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.

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

本数据引用方式：

Wang,Yuanwei, Wang,Lei, Li,Xiuping, & Zhou,Jing. (2020). High temporal and spatial resolution precipitation data of Upper Brahmaputra River Basin (1981-2016) [Data set]. http://doi.org/10.11888/Meteoro.tpdc.270312

研究区域图

数据文件概览