Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Identifying changing precipitation extremes in Sub-Saharan Africa with gauge and satellite products

Bibliographic Data

ID15549236
AuthorsL Harrison (0000-0001-5516-4764, University of California, Santa Barbara, corresponding author), Chris Funk (0000-0002-9254-6718, Earth Resources Observation and Science Center), Pete Peterson (0000-0001-9742-5379, University of California, Santa Barbara)
Year2019
Volume14
Issue8
Pages085007-085007
Publication date2019-06-26
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ab2cae
OpenAlexW2954992926
LanguageEN
Citations received5
References cited1

Sparse gauge networks in Sub-Saharan Africa (SSA) limit our ability to identify changing precipitation extremes with in situ observations. Given the potential for satellite and satellite-gauge precipitation products to help, we investigate how daily gridded gauge and satellite products compare for seven core climate change precipitation indices. According to a new gauge-only product, the Rainfall Estimates on a Gridded Network (REGEN), there were notable changes in SSA precipitation characteristics between 1950 and 2013 in well-gauged areas. We examine these trends and how these vary for wet, intermediate, and dry areas. For a 31 year period of overlap, we compare REGEN data, other gridded products and three satellite products. Then for 1998–2013, we compare a set of 12 satellite products. Finally, we compare spatial patterns of 1983–2013 trends across all of SSA. Robust 1950–2013 trends indicate that in well-gauged areas extreme events became wetter, particularly in wet areas. Annual totals decreased due to fewer rain days. Between 1983 and 2013 there were positive trends in average precipitation intensity and annual maximum 1 d totals. These trends only represent 15% of SSA, however, and only one tenth of the main wet areas. Unfortunately, gauge and satellite products do not provide consensus for wet area trends. A promising result for identifying regional changes is that numerous satellite products do well at interannual variations in precipitation totals and number of rain days, even as well as some gauge-only products. Products are less accurate for dry spell length and average intensity and least accurate for annual maximum 1 d totals. Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (3B42-V7) and Climate Hazards center Infrared Precipitation with Stations (CHIRPS v2.0) ranked highest for multiple indices. Several products have seemingly unrealistic trends outside of the well-gauged areas that may be due to influence of non-stationary systematic biases. Social media abstract . Sparse data show increasing Africa rainfall extremes and satellite products fill some missing pieces

Atmospheric sciences · Climatology · Geography · Meteorology · Precipitation · Rain gauge · Satellite · Climate variability and models · Environmental Science · Meteorological Phenomena and Simulations · Precipitation Measurement and Analysis · Geology

  • Observed changes in flood hazard in Africa

    Open Access•Yves Tramblay, Gabriele Villarini et al.•Environmental Research Letters•2020

  • The evolving roles of intensity and wet season timing in rainfall regimes surrounding the Red Sea

    Open Access•Kayden Haleakala, Haowen Yue et al.•Environmental Research Letters•2022

  • A streamlined flood-specific evaluation framework

    Open Access•Antonio Gioia, Vieri Tarchiani et al.•International Journal of Disaster…•2026

  • Intercomparison of annual precipitation indices and extremes over global land areas from in situ, space-based and reanalysis products

    Open Access•Lisa V Alexander, Margot Bador et al.•Environmental Research Letters•2020

  • Characterizing the performances of different observational precipitation products and their uncertainties over Africa

    Open Access•Brian Ayugi, Eun‐Sung Chung et al.•Environmental Research Letters•2024

Citations per year0.83
Citation span2020 - 2026 (7)
Highly citedNo

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae