Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Bern Open Repository...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Weather and Climate Extremes
Article . 2023 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Weather and Climate Extremes
Article . 2023
Data sources: DOAJ
https://doi.org/10.2139/ssrn.4...
Article . 2023 . Peer-reviewed
Data sources: Crossref
versions View all 5 versions
addClaim

Extreme Rainfall Events in Morocco: Spatial Dependence and Climate Drivers

Authors: Abdelaziz Chaqdid; Alexandre Tuel; Abdelouahad El Fatimy; Nabil El Moçayd;

Extreme Rainfall Events in Morocco: Spatial Dependence and Climate Drivers

Abstract

The history of Morocco is replete with tragic natural disasters related to floods that led to numerous casualties and significant material losses. An important driver of these floods is extreme precipitation. Understanding the spatial characteristics of extreme precipitation events is critical to accurately predicting, assessing, and mitigating the risks they pose. Yet, the physical drivers of extreme precipitation events (EPEs) in Morocco remain poorly known. To address this gap, we apply a clustering method to divide Morocco into regions that are spatially consistent in terms of extreme precipitation. We then determine the drivers of extreme precipitation by analyzing atmospheric circulation anomalies during the occurrence of some well chosen EPEs in each region. Our findings suggest that Morocco can be subdivided into 5 spatially coherent regions. Extreme precipitation in the northwestern regions is associated with patterns similar to the negative phase of the North Atlantic Oscillation (NAO) with strong upper-level flow anomalies enhanced by Greenland blocking and/or Rossby wave breaking (RWB) episodes. By contrast, the southern regions are associated with relatively weak upper air troughs but strong water vapor transport anomalies from the tropics.

Country
Switzerland
Keywords

Extreme precipitation, 500 Science, Morocco, Meteorology. Climatology, 910 Geography & travel, QC851-999, Extremal dependence, Regional clustering, 550 Earth sciences & geology, Climate drivers

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Top 10%
Green
gold