Book chapter
Estimating extreme precipitation using multiple satellite-based precipitation products
Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment: A Remote Sensing Approach, pp.163-190
Elsevier
2019
DOI: 10.1016/B978-0-12-814899-0.00007-9
Abstract
With the advent of remote sensing, monitoring of the temporal and spatial variability of precipitation, and frequency of extremes, is now possible at global scale. Since satellite-based precipitation products (SPP) represent indirect measurements, their reliability for assessing hydroclimatic hazards has to be verified. In this chapter, we evaluate six global-scale high-resolution SPP in terms of extreme values (>90th quantile) using more than 6 years (within the period 2000–15) of reference precipitation data from rain gauge networks in nine mountainous regions: Eastern Italian Alps, Swiss Alps, Western Black Sea of Turkey, French Cévennes, Peruvian Andes, Colombian Andes, Himalayas over Nepal, Blue Nile in East Africa, Taiwan, and the US Rocky mountains. The following products are evaluated at daily accumulations and on a 0.25° regular grid: Tropical Rainfall Measuring Mission Multisatellite Precipitation Analysis, Integrated MultisatellitE Retrievals for Global Precipitation Measurement (GPM) (IMERG), National Oceanic and Atmospheric Administration/Climate Prediction Center Morphing Method, Precipitation Estimation from Remote Sensing Information using Artificial Neural Network, and Global Satellite Mapping of Precipitation (GSMaP). Across all regions all products exhibit strong underestimation [mean relative errors (MREs) up to 80% underestimation], which is typically attributed to the occurrence of shallow, but high accumulation, precipitation resulting from warm-rain processes. The chapter also shows that recent improvements to the SPP algorithms based on GPM (i.e., IMERG and GSMaPV07) have improved MREs by 0.1–0.4 and centralized root mean square errors by 0.4–1.5.
Details
- Title: Subtitle
- Estimating extreme precipitation using multiple satellite-based precipitation products
- Creators
- Yagmur Derin - University of ConnecticutEfthymios Nikolopoulos - University of ConnecticutEmmanouil N. Anagnostou - University of Connecticut
- Contributors
- Viviana Maggioni (Editor)Christian Massari (Editor)
- Resource Type
- Book chapter
- Publication Details
- Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment: A Remote Sensing Approach, pp.163-190
- DOI
- 10.1016/B978-0-12-814899-0.00007-9
- Publisher
- Elsevier; Amsterdam, Netherlands
- Number of pages
- 28
- Language
- English
- Date published
- 2019
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9984945143702771
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