Characterization of Subdaily Rainfall Events over Central Africa: Duration, Intensity, Amount, and Spatial Scale of the Storm Types

Abstract Using half-hourly rainfall data from 14 automated weather stations over central Africa, rainfall events [≥0.1 mm (30 min) −1 ] characteristics are explored. A total of 10 096 wet events (WEs) were identified and classified into six storm types (STs), mostly discretized by their duration and intensity. ST 1 is very short (<1.5 h) with low rainfall intensities over a small area and contributes the least to the total rainfall (7%) but is by far the most frequent (70% of the WEs). ST 2 is short (∼1.5 h) and sudden with very intense rains and of medium spatial scale (<200 km). ST 3 is short and of medium scale too but with low intensities and rainfall amounts. ST 4 and ST 5 are of large scale and long (∼3–4 h), with high rainfall amounts so that they contribute the most to the total rainfall (29% and 20%). Last, ST 6 is the largest, longest, and rainiest, although moderately intense. A complementary classification is performed on lagged gridded rainfall fields from IMERG to document the possible space–time evolution of the rainfall field during the life cycle of WEs. Four spatial types are identified. Spatial type 1 gathers the most frequent, less intense ones. Spatial type 2 is far less frequent but pictures westward-moving rainfall patterns, probably associated with mesoscale convective systems. Two spatial types (3 and 4) are related to high-intensity near-stationary rainfall events, respectively, located to the southwest and northwest of the stations. ST 4 is mostly present at stations close to the Atlantic Ocean.

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Publication Details

Journal
Journal of Hydrometeorology
Published
2024-12-01
DOI
https://doi.org/10.1175/jhm-d-23-0067.1
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.57
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article

Characterization of Subdaily Rainfall Events over Central Africa: Duration, Intensity, Amount, and Spatial Scale of the Storm Types

Derbetini A. Vondou, Andreas H. Fink, Vincent Moron, Marlon Maranan et al.
2 citations
Journal of Hydrometeorology
Climate variability and models
0.57
article

Characterization of Subdaily Rainfall Events over Central Africa: Duration, Intensity, Amount, and Spatial Scale of the Storm Types

Derbetini A. Vondou, Andreas H. Fink, Vincent Moron, Marlon Maranan, François Xavier Mengouna, Nathalie Philippon
article en
2 citations

Abstract

Abstract Using half-hourly rainfall data from 14 automated weather stations over central Africa, rainfall events [≥0.1 mm (30 min) −1 ] characteristics are explored. A total of 10 096 wet events (WEs) were identified and classified into six storm types (STs), mostly discretized by their duration and intensity. ST 1 is very short (<1.5 h) with low rainfall intensities over a small area and contributes the least to the total rainfall (7%) but is by far the most frequent (70% of the WEs). ST 2 is short (∼1.5 h) and sudden with very intense rains and of medium spatial scale (<200 km). ST 3 is short and of medium scale too but with low intensities and rainfall amounts. ST 4 and ST 5 are of large scale and long (∼3–4 h), with high rainfall amounts so that they contribute the most to the total rainfall (29% and 20%). Last, ST 6 is the largest, longest, and rainiest, although moderately intense. A complementary classification is performed on lagged gridded rainfall fields from IMERG to document the possible space–time evolution of the rainfall field during the life cycle of WEs. Four spatial types are identified. Spatial type 1 gathers the most frequent, less intense ones. Spatial type 2 is far less frequent but pictures westward-moving rainfall patterns, probably associated with mesoscale convective systems. Two spatial types (3 and 4) are related to high-intensity near-stationary rainfall events, respectively, located to the southwest and northwest of the stations. ST 4 is mostly present at stations close to the Atlantic Ocean.

Journal of HydrometeorologyVol. 25(12)
Karlsruhe Institute of Technology (DE), Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), Université de Yaoundé I (CM), Aix-Marseille Université (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Centre de Recherche et d’Enseignement de Géosciences de l’Environnement (FR), Institut des Géosciences de l'Environnement (FR), Institut de Recherche pour le Développement (FR), Université Grenoble Alpes (FR)
Openalex Percentile: Top 32%
Climate variability and models
0.57
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