CHPclim - High-quality monthly rainfall climatology

CHPclim - High-quality monthly rainfall climatology (near-global extent, 0.05° resolution)

CHPclim Data Access

The Climate Hazards Center’s Precipitation Climatology version 1 (CHPclim v.1.0, data set available on our data server here) is a gridded data product built using a geospatial modeling approach based on moving window regressions and inverse distance weighting interpolation. This approach combines satellite fields, gridded physiographic indicators, and in situ (weather station) climate normals. The resulting global 0.05◦ 12 monthly precipitation climatology can outperform similar global climatology products, especially in areas with complex terrain and low station densities. A paper discussing the CHPclim and regional comparisons to other products is available here.


Background and Context for the CHPClim Product

Accurate representations of mean climate conditions, especially in areas of complex terrain, are an important part of environmental monitoring systems. As high-resolution satellite monitoring information accumulates with the passage of time, it can be increasingly useful in efforts to better characterize the earth's mean climatology. Current state-of-the-science products rely on complex and sometimes unreliable relationships between elevation and station-based precipitation records, which can result in poor performance in food and water insecure regions with sparse observation networks. These vulnerable areas (like Ethiopia, Afghanistan or Haiti) are often critical in humanitarian drought monitoring.

Extended records of geo-synchronous and polar-orbiting satellite observations provide a unique new resource for producing high resolution (0.05◦) global precipitation climatologies that perform reasonably well in data sparse regions.

Traditionally, global climatologies have been produced by combining station observations and physiographic predictors like latitude, longitude, elevation, and slope. While such approaches can work well, especially in areas with reasonably dense observation networks, the fundamental relationship between physiographic variables and the target climate variables can often be indirect and spatially complex. Infrared and microwave satellite observations, on the other hand, directly monitor the earth's energy emissions. These emissions often correspond physically with the location and intensity of precipitation. The CHPclim is a demonstration of how these relationships provide a good basis for building global climatologies.

Individual images and animations of the CHPclim and other products are available on our data server here.