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.
| 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 |
| Google Analytic Metrics | Metrics page |