Satellite precipitation dataset for key nodes of pan-third pole region (1998-2016)

This dataset algorithmically merges microwave data from multiple satellites, including SSMI, SSMIS, MHS, AMSU-B and AMSR-E, each inter-calibrated to the TRMM Combined Instrument. Algorithm 3B43 is executed once per calendar month to produce the single, best-estimate precipitation rate and RMS precipitation-error estimate field (3B43) by combining the 3-hourly merged high-quality/IR estimates (3B42) with the monthly accumulated Global Precipitation Climatology Centre (GPCC) rain gauge analysis. This dataset also combines ground-based rain gauge data to maximize the use of existing probe data, providing an optimal estimate of each grid’s precipitation for each standard observation. Taking the key nodes mainly covering Southeast Asia and the Middle East as the research area, based on the TRMM 3B43 data from 1998 to 2016, Google Earth Engine was used to clip the research area data, and finally the monthly precipitation dataset for key nodes of pan-third pole region from 1998 to 2016 was obtained. (In Minsk, Novosibirsk, and Warsaw, because the latitude is higher than 50⁰N, TRMM 3B43 does not have data for these areas, so the upscaling GPM data is used.)