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The Climate Hazards Center Infrared Precipitation with Stations, Version 3
Chris Funk1, Pete Peterson2, Laura Harrison2
1University of California, Santa Barbara Climate Hazards Center, Santa Barbara, USA. chrisfunk@ucsb.edu.
The updated Climate Hazards Center Infrared Precipitation with Stations (CHIRPS3) dataset offers improved precipitation estimates. It better represents rainfall mean and variance, enhancing drought monitoring and hydrologic modeling.
Area of Science:
- Hydrology and Climate Science
- Remote Sensing and Geospatial Analysis
- Atmospheric Science
Background:
- The Climate Hazards Center Infrared Precipitation with Stations (CHIRPS) dataset is crucial for various applications, including drought monitoring and agricultural decision-making.
- CHIRPS version 2 (CHIRPS2) has been widely used, but improvements in data processing and sources are needed.
- Accurate precipitation data is essential for understanding climate variability and its impacts.
Purpose of the Study:
- To evaluate the performance of the new CHIRPS version 3 (CHIRPS3) satellite precipitation data.
- To compare CHIRPS3 with CHIRPS2 and other satellite precipitation products (IMERG, PERSIANN-CCS, GPI).
- To demonstrate the benefits of CHIRPS3, including extended spatial coverage and improved estimation methods.
Main Methods:
- Performance evaluation of CHIRPS3, CHIRPS2, IMERG, PERSIANN-CCS, and GPI using high-quality, dense station data in twelve regions.
- Assessment of precipitation mean and variance representation.
- Case study in Morocco to illustrate CHIRPS3's rainfall variability capture and the importance of gauge-undercatch correction.
Main Results:
- CHIRPS3 demonstrates superior performance compared to CHIRPS2, accurately representing both the mean and variance of observed precipitation.
- CHIRPS3 captures observed rainfall variability more effectively than CHIRPS2, as shown in the Morocco case study.
- The study highlights the necessity of gauge-undercatch correction for station data when validating satellite precipitation products like CHIRPS3.
Conclusions:
- CHIRPS3 represents a significant advancement over CHIRPS2, offering more accurate and reliable precipitation estimates.
- The improved accuracy of CHIRPS3 enhances its utility for critical applications such as drought monitoring, hydrologic modeling, and agricultural planning.
- Proper data validation methodologies, including gauge-undercatch correction, are essential for maximizing the benefits of advanced satellite precipitation products.
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