Impact of integration time steps of rain drop size distribution on their double-moment normalization: a case study in northern Benin
This study analyzed the sensitivity of the double-moment normalization of rain drop size distributions (DSDs) to their integration time steps. Six DSD datasets measured at different integration time steps were modeled by the double-moment normalization method. Six couples of reference moments are us...
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| Format: | Article |
| Language: | English |
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Académie des sciences
2023-02-01
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| Series: | Comptes Rendus. Géoscience |
| Subjects: | |
| Online Access: | https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.200/ |
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| author | Moumouni, Sounmaïla Akponi, Fulgence Payot Zahiri, Eric-Pascal Lawin, Agnidé Emmanuel Gosset, Marielle |
| author_facet | Moumouni, Sounmaïla Akponi, Fulgence Payot Zahiri, Eric-Pascal Lawin, Agnidé Emmanuel Gosset, Marielle |
| author_sort | Moumouni, Sounmaïla |
| collection | DOAJ |
| description | This study analyzed the sensitivity of the double-moment normalization of rain drop size distributions (DSDs) to their integration time steps. Six DSD datasets measured at different integration time steps were modeled by the double-moment normalization method. Six couples of reference moments are used for the normalization. Three DSD models (gamma, generalized gamma and lognormal) are used for modeling. Statistical criteria are used to assess the estimation of the moments of the DSDs made by the models. As results, the analysis highlighted the dependence of the shape function parameters on the DSD integration time step. It is also noted that the three DSD models are well adapted to the data used. Nevertheless, the generalized gamma model is recommended because of the independence of the moment estimation errors with respect to the integration time step, which is not the case for the other models. |
| format | Article |
| id | doaj-art-f35018b7e21e487288e8ba46cc7e4264 |
| institution | Kabale University |
| issn | 1778-7025 |
| language | English |
| publishDate | 2023-02-01 |
| publisher | Académie des sciences |
| record_format | Article |
| series | Comptes Rendus. Géoscience |
| spelling | doaj-art-f35018b7e21e487288e8ba46cc7e42642025-02-07T10:39:55ZengAcadémie des sciencesComptes Rendus. Géoscience1778-70252023-02-01355G110913310.5802/crgeos.20010.5802/crgeos.200Impact of integration time steps of rain drop size distribution on their double-moment normalization: a case study in northern BeninMoumouni, Sounmaïla0https://orcid.org/0000-0001-6451-2169Akponi, Fulgence Payot1https://orcid.org/0000-0002-7736-2371Zahiri, Eric-Pascal2https://orcid.org/0000-0003-0536-1764Lawin, Agnidé Emmanuel3https://orcid.org/0000-0003-4751-3439Gosset, Marielle4https://orcid.org/0000-0003-1064-7003Ecole Normale Supérieure (ENS) de Natitingou, Université Nationale des Sciences, Technologies, Ingénierie et Mathématiques (UNSTIM), BéninDépartement Physique, Faculté des Sciences et Techniques; Université d’Abomey-Calavi, Bénin; Ecole Normale Supérieure (ENS) de Natitingou, Université Nationale des Sciences, Technologies, Ingénierie et Mathématiques (UNSTIM), BéninLaboratoire des Sciences de la Matière, de l’Environnement et de l’Energie Solaire, Université Félix Houphouët-Boigny, Côte d’IvoireLaboratoire d’Hydrologie Appliquée (LHA), Institut National de l’Eau (INE), Université d’Abomey-Calavi, BeninGéosciences-Environnement-Toulouse (GET), Institut de Recherche pour le Développement (IRD), FranceThis study analyzed the sensitivity of the double-moment normalization of rain drop size distributions (DSDs) to their integration time steps. Six DSD datasets measured at different integration time steps were modeled by the double-moment normalization method. Six couples of reference moments are used for the normalization. Three DSD models (gamma, generalized gamma and lognormal) are used for modeling. Statistical criteria are used to assess the estimation of the moments of the DSDs made by the models. As results, the analysis highlighted the dependence of the shape function parameters on the DSD integration time step. It is also noted that the three DSD models are well adapted to the data used. Nevertheless, the generalized gamma model is recommended because of the independence of the moment estimation errors with respect to the integration time step, which is not the case for the other models.https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.200/Rain DSDDouble-moment normalizationIntegration time stepsUnimodal DSD modelsGeneralized gammaWeather radarsWest Africa rainfall |
| spellingShingle | Moumouni, Sounmaïla Akponi, Fulgence Payot Zahiri, Eric-Pascal Lawin, Agnidé Emmanuel Gosset, Marielle Impact of integration time steps of rain drop size distribution on their double-moment normalization: a case study in northern Benin Comptes Rendus. Géoscience Rain DSD Double-moment normalization Integration time steps Unimodal DSD models Generalized gamma Weather radars West Africa rainfall |
| title | Impact of integration time steps of rain drop size distribution on their double-moment normalization: a case study in northern Benin |
| title_full | Impact of integration time steps of rain drop size distribution on their double-moment normalization: a case study in northern Benin |
| title_fullStr | Impact of integration time steps of rain drop size distribution on their double-moment normalization: a case study in northern Benin |
| title_full_unstemmed | Impact of integration time steps of rain drop size distribution on their double-moment normalization: a case study in northern Benin |
| title_short | Impact of integration time steps of rain drop size distribution on their double-moment normalization: a case study in northern Benin |
| title_sort | impact of integration time steps of rain drop size distribution on their double moment normalization a case study in northern benin |
| topic | Rain DSD Double-moment normalization Integration time steps Unimodal DSD models Generalized gamma Weather radars West Africa rainfall |
| url | https://comptes-rendus.academie-sciences.fr/geoscience/articles/10.5802/crgeos.200/ |
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