This data is based on TRMM 3b43 data from 1998 to 2017. The spatial resolution of the data is 25km, and the time resolution is month. Python is used to process the image in batches, extract the precipitation data, and generate the precipitation data product of TRMM 3b43 of China Pakistan Economic Corridor from 1998 to 2017. The data can provide basic data support for the regional scientific research of China Pakistan Economic Corridor.
|collect time||1998/01/01 - 2017/08/31|
|altitude||-36.0m - 8378.0m|
|data size||22.6 MB|
|Data spatial resolution (/ M)||25000.0m|
|Data time resolution||month|
TRMM 3b43 data is the data source, the spatial resolution of data is 25km, the time resolution is month, and the boundary of China Pakistan Economic Corridor region.
(1) Extract a subset of HDF. TRMM? 3b43? V7 data includes three sub data sets, namely precision, relativeerror, gauge relativeweighting, and extract precipitation sub data set, namely precision. (2) Image rotation and correction. The default extracted sub dataset image is corrected by first rotating - 90 ° and then transforming according to 4 corners and correct coordinates of corners. (3) Define the projection. By default, the extracted and converted image has no projection, which is defined as GCS ﹣ WGS ﹣ 1984. (4) Unit conversion. TRMM? 3b43? V7 data unit is mm / h, and the average hourly rainfall is converted into monthly rainfall mm / month. (5) HDF format converted to geoiff format. (6) Image clipping. The TRMM 3b43 monthly precipitation data product is generated by using the regional boundary of China Pakistan Economic Corridor and batch cutting.
Same quality as source data; data set includes: Monthly Precipitation
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