CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) provides precipitation products with a high spatial resolution of 0.05° from 50°S to 50°N across the world since 1981.

IMERG (Integrated MultisatellitE Retrievals from GPM) precipitation product was developed by NASA in collaboration with JAXA

SM2RAIN (Soil Moisture TO RAIN) is a newly developed “bottom-up” method estimating precipitation over large areas with spatial resolution of 0.1∘ (∼10 km) on a global scale.

CMORPH (Climate Prediction Center Morphing Technique) generates global precipitation products based on PMW and IR with 8 km spatial and 0.5-hourly temporal resolution. An archive is available from 1988 until present.

MSWEP (Multi-Source Weighted-Ensemble Precipitation) is a long-term global satellite precipitation product with high spatiotemporal resolution. MSWEP is a historical record for more than 40 years (from 1979 to 2020)

The Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks- Climate Data Record (PERSIANN-CDR) provides daily rainfall estimates at a spatial resolution of 0.25 degrees in the latitude band 60S - 60N from 1983 to the near-present. The precipitation estimate is produced using the PERSIANN algorithm on GridSat-B1 infrared satellite data, and the training of the artificial neural network is done using the National Centers for Environmental Prediction (NCEP) stage IV hourly precipitation data. The PERSIANN-CDR is adjusted using the Global Precipitation Climatology Project (GPCP) monthly product version 2.2 (GPCPv2.2), so that the PERSIANN-CDR monthly means degraded to 2.5 degree resolution match GPCPv2.2. PERSIANN CDR is a Climate Data Record, which the National Research Council (NRC) defines as a time series of measurements of sufficient length, consistency, and continuity to determine climate variability and change.

The Global Precipitation Climatology Project (GPCP) consists of monthly satellite-gauge and associated precipitation error estimates and covers the period January 1979 to the present. The general approach is to combine the precipitation information available from each of several satellite and in situ sources into a final merged product, taking advantage of the strengths of each data type: passive Microwave estimates are based on SSMI/SSMIS data; infrared precipitation estimates are included, using GOES data and POES data; as well as other low earth orbit data and insitu observations. Data are provided on a 2.5 degree grid.

GSMaP (Global Satellite Mapping of Precipitation) developed by the JAXA[17]