Algorithm and data improvements for version 2.1 of the Climate Hazards center’s InfraRed Precipitation with Stations Data Set

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Abstract

To support global drought early warning, the Climate Hazards Center (CHC) at the University of California, Santa Barbara developed the Climate Hazards center InfraRed Precipitation with Stations (CHIRPS) dataset, in collaboration with the US Geological Survey and NASA SERVIR. Specifically designed to support early warning applications, CHIRPS has high a spatial resolution (0.05°), a long period of record (1981 to the near present), and relatively low latencies. Here we will describe a brief formal analysis of distributional bias in CHIRPS2.0. This analysis reveals, as expected, that CHIRPS2.0 means are very similar to observed station data. However, a closer look suggests that low precipitation values are underestimated and high values are over-estimated in the CHIRPS2.0. We describe a potential correction for this below.

Additional publication details

Publication type Book chapter
Publication Subtype Book Chapter
Title Algorithm and data improvements for version 2.1 of the Climate Hazards center’s InfraRed Precipitation with Stations Data Set
Chapter 23
DOI 10.1007/978-3-030-24568-9_23
Volume 1
Year Published 2020
Language English
Publisher Springer Link
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 19 p.
Larger Work Type Book
Larger Work Subtype Monograph
Larger Work Title Satellite Precipitation Measurement
First page 409
Last page 427
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