![]() ![]() 0.25 degree TMPA 3B42 pentadal precipitation estimates and TIR CCD data are used to develop regression slopes and intercepts. ![]() Next, pentadal CHIRP fields, which are variations on the CHPclim mean, are calculated, using a local calibration of satellite precipitation estimates with thermal infrared (TIR) cold cloud duration (CCD) statistics. The 1980-2009 climate normal is then produced. Finally, a moving window regression is used for each grid cell the regression models were fit to FAO climate normals, and GHCN station data were used to estimate ratio biases at each station. CHPclim uses information from TRMM 2B31 microwave precipitation estimates, CMOPRH microwave-plus-infrared based precipitation estimates, monthly mean geostationary infrared brightness temperatures and land surface estimates, and were resampled to a 0.05 degree common grid. Over 27,000 monthly stations from the FAO, and ~21,000 stations from the Global Historical Climate Network (GHCN) were used to construct CHPclim. The first is the development of a 0.05 monthly precipitation climatology, known as CHPclim (). 1a, and Methods sections)ĬHIRPSv2 process and validation comprises three components. Noting a gap in types of gridded precipitation datasets (e.g., datasets with long records but coarse resolutions / long latency, or high-resolution datasets with short-records), the CHIRPSv2 dataset was designed to fill this gap by blending station and satellite data to produce a continuous, high-resolution 1981-present precipitation record. The following was contributed by Carlos Martinez and Danielle Touma, Janurary 2023: Then, the dataset is created using daily to monthly infrared Cold Cloud Duration (CCD) precipitation estimates as well the spatial correlation structure of CCD, incorporated using a novel blending procedure. The dataset builds off a previously created climatology dataset that has used satellite information to fill in areas that have a lack of stations. The dataset is preliminarily updated for the whole domain two days after the end of a pentad (2nd, 7th, 12th, 17th, 22nd and 27th) of every month using only some station data, and is then finalized by the 3rd week of the month using the additional datasets. The dataset integrates several data sources including station measurements and satellite data. The dataset begins in 1981 and extends to the near-present day. These resolutions are regionally dependent and span different time periods. Data can be found at 0.05 deg or 0.1 deg resolution, and can be found at 6-hourly to seasonal time scales. Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a quasi-global (50S - 50N), land-only rainfall dataset with a range of temporal and spatial resolutions depending on the region and the time period. ![]()
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