Simple scaling of extreme precipitation regime in Senegal
Extreme precipitation exhibits high temporal and spatial variability, and understanding this variability is crucial for designing hydraulic infrastructures and assessing the impacts of natural risks such as floods and droughts. The Simple Scaling (SS) model, which describes the dependence of extreme...
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Format: | Article |
Language: | English |
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Elsevier
2024-03-01
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Series: | Scientific African |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S246822762300488X |
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author | Cheikh Waly Diedhiou Geremy Panthou Samo Diatta Youssouph Sané Théo Vischel Moctar Camara |
author_facet | Cheikh Waly Diedhiou Geremy Panthou Samo Diatta Youssouph Sané Théo Vischel Moctar Camara |
author_sort | Cheikh Waly Diedhiou |
collection | DOAJ |
description | Extreme precipitation exhibits high temporal and spatial variability, and understanding this variability is crucial for designing hydraulic infrastructures and assessing the impacts of natural risks such as floods and droughts. The Simple Scaling (SS) model, which describes the dependence of extreme rainfall statistics on timescales, is used to estimate Intensity Duration Frequency (IDF) curves. This study aims to evaluate the validity of the Simple Scaling (SS) hypothesis for 14 rain gauges in Senegal and explore the existence of breaks in temporal scaling regimes (transition regimes). For the analysis of extreme characteristics, we considered the Annual Maximum Series (AMS) of precipitation in sub-hourly and supra-daily durations ranging from 10 min to 7 days. The empirical validation of the SS models was confirmed for the majority of the scaling intervals. We identified two scaling breaks, indicating the presence of three scaling regimes: short durations (SD), intermediate durations (ID), and long durations (LD). The spatial variation of scaling exponents reveals the existence of different scaling regimes across Senegal. The results are valuable for modeling the spatial distribution of scaling exponents, which can aid in characterizing IDF curves at ungauged locations. |
first_indexed | 2024-03-07T15:46:26Z |
format | Article |
id | doaj.art-654d80c5d401404cb1eaf52ea56dd192 |
institution | Directory Open Access Journal |
issn | 2468-2276 |
language | English |
last_indexed | 2024-03-07T15:46:26Z |
publishDate | 2024-03-01 |
publisher | Elsevier |
record_format | Article |
series | Scientific African |
spelling | doaj.art-654d80c5d401404cb1eaf52ea56dd1922024-03-05T04:30:11ZengElsevierScientific African2468-22762024-03-0123e02034Simple scaling of extreme precipitation regime in SenegalCheikh Waly Diedhiou0Geremy Panthou1Samo Diatta2Youssouph Sané3Théo Vischel4Moctar Camara5Laboratoire d'Océanographie des Sciences de l'Environnement et du Climat (LOSEC), Assane Seck University of Ziguinchor, Ziguinchor 523, Republic of Senegal; Institut des Géosciences de l'Environnement (IGE), Université Grenoble Alpes, Grenoble, 38000, France; Corresponding author.Institut des Géosciences de l'Environnement (IGE), Université Grenoble Alpes, Grenoble, 38000, FranceLaboratoire d'Océanographie des Sciences de l'Environnement et du Climat (LOSEC), Assane Seck University of Ziguinchor, Ziguinchor 523, Republic of SenegalAgence Nationale de l'Aviation Civile et de la Météorologie (ANACIM), Dakar, Republic of SenegalInstitut des Géosciences de l'Environnement (IGE), Université Grenoble Alpes, Grenoble, 38000, FranceLaboratoire d'Océanographie des Sciences de l'Environnement et du Climat (LOSEC), Assane Seck University of Ziguinchor, Ziguinchor 523, Republic of SenegalExtreme precipitation exhibits high temporal and spatial variability, and understanding this variability is crucial for designing hydraulic infrastructures and assessing the impacts of natural risks such as floods and droughts. The Simple Scaling (SS) model, which describes the dependence of extreme rainfall statistics on timescales, is used to estimate Intensity Duration Frequency (IDF) curves. This study aims to evaluate the validity of the Simple Scaling (SS) hypothesis for 14 rain gauges in Senegal and explore the existence of breaks in temporal scaling regimes (transition regimes). For the analysis of extreme characteristics, we considered the Annual Maximum Series (AMS) of precipitation in sub-hourly and supra-daily durations ranging from 10 min to 7 days. The empirical validation of the SS models was confirmed for the majority of the scaling intervals. We identified two scaling breaks, indicating the presence of three scaling regimes: short durations (SD), intermediate durations (ID), and long durations (LD). The spatial variation of scaling exponents reveals the existence of different scaling regimes across Senegal. The results are valuable for modeling the spatial distribution of scaling exponents, which can aid in characterizing IDF curves at ungauged locations.http://www.sciencedirect.com/science/article/pii/S246822762300488XGEVSSIDFPrecipitation extremesSimple scalingSenegal |
spellingShingle | Cheikh Waly Diedhiou Geremy Panthou Samo Diatta Youssouph Sané Théo Vischel Moctar Camara Simple scaling of extreme precipitation regime in Senegal Scientific African GEVSS IDF Precipitation extremes Simple scaling Senegal |
title | Simple scaling of extreme precipitation regime in Senegal |
title_full | Simple scaling of extreme precipitation regime in Senegal |
title_fullStr | Simple scaling of extreme precipitation regime in Senegal |
title_full_unstemmed | Simple scaling of extreme precipitation regime in Senegal |
title_short | Simple scaling of extreme precipitation regime in Senegal |
title_sort | simple scaling of extreme precipitation regime in senegal |
topic | GEVSS IDF Precipitation extremes Simple scaling Senegal |
url | http://www.sciencedirect.com/science/article/pii/S246822762300488X |
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