Advances in the Lead Time of Sahel Rainfall Prediction With the North American Multimodel Ensemble

International audience We assess the deterministic skill in seasonal climate predictions of Sahel rainfall made with the North American Multimodel Ensemble (NMME). We find that skill for a regionally averaged rainfall index is essentially the same for forecasts for the July-September target season m...

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Published in:Geophysical Research Letters
Main Authors: Giannini, A., Ali, A., Kelley, C. P., Lamptey, B. L., Minoungou, B., Ndiaye, O.
Other Authors: Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL), ANR-17-MPGA-0015,PRODUCT,processes of climate change in the tropics(2017)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2020
Subjects:
Online Access:https://insu.hal.science/insu-03726986
https://insu.hal.science/insu-03726986v2/document
https://insu.hal.science/insu-03726986v2/file/Geophysical%20Research%20Letters%20-%202020%20-%20Giannini%20-%20Advances%20in%20the%20Lead%20Time%20of%20Sahel%20Rainfall%20Prediction%20With%20the%20North.pdf
https://doi.org/10.1029/2020GL087341
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spelling ftinspolytechpar:oai:HAL:insu-03726986v2 2024-06-16T07:41:42+00:00 Advances in the Lead Time of Sahel Rainfall Prediction With the North American Multimodel Ensemble Giannini, A. Ali, A. Kelley, C. P. Lamptey, B. L. Minoungou, B. Ndiaye, O. Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) ANR-17-MPGA-0015,PRODUCT,processes of climate change in the tropics(2017) 2020 https://insu.hal.science/insu-03726986 https://insu.hal.science/insu-03726986v2/document https://insu.hal.science/insu-03726986v2/file/Geophysical%20Research%20Letters%20-%202020%20-%20Giannini%20-%20Advances%20in%20the%20Lead%20Time%20of%20Sahel%20Rainfall%20Prediction%20With%20the%20North.pdf https://doi.org/10.1029/2020GL087341 en eng HAL CCSD American Geophysical Union info:eu-repo/semantics/altIdentifier/doi/10.1029/2020GL087341 insu-03726986 https://insu.hal.science/insu-03726986 https://insu.hal.science/insu-03726986v2/document https://insu.hal.science/insu-03726986v2/file/Geophysical%20Research%20Letters%20-%202020%20-%20Giannini%20-%20Advances%20in%20the%20Lead%20Time%20of%20Sahel%20Rainfall%20Prediction%20With%20the%20North.pdf BIBCODE: 2020GeoRL.4787341G doi:10.1029/2020GL087341 http://hal.archives-ouvertes.fr/licences/copyright/ info:eu-repo/semantics/OpenAccess ISSN: 0094-8276 EISSN: 1944-8007 Geophysical Research Letters https://insu.hal.science/insu-03726986 Geophysical Research Letters, 2020, 47, ⟨10.1029/2020GL087341⟩ seasonal climate prediction Sahel PRESA-SS precipitation El Niño-Southern Oscillation climate services [SDU]Sciences of the Universe [physics] [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology info:eu-repo/semantics/article Journal articles 2020 ftinspolytechpar https://doi.org/10.1029/2020GL087341 2024-05-19T23:43:45Z International audience We assess the deterministic skill in seasonal climate predictions of Sahel rainfall made with the North American Multimodel Ensemble (NMME). We find that skill for a regionally averaged rainfall index is essentially the same for forecasts for the July-September target season made as early as February/March and as late as June. The two dominant influences on the climate of the Sahel, the North Atlantic and the global tropical oceans, shape this predictability. Multimodel ensemble skill hinges on the combination of skillful predictions of the El Niño-Southern Oscillation made with one model (CMC2-CanCM4) with those of North Atlantic sea surface temperatures made with another (NASA-GEOSS2S). Article in Journal/Newspaper North Atlantic HAL de l'Institut Polytechnique de Paris Geophysical Research Letters 47 9
institution Open Polar
collection HAL de l'Institut Polytechnique de Paris
op_collection_id ftinspolytechpar
language English
topic seasonal climate prediction
Sahel
PRESA-SS
precipitation
El Niño-Southern Oscillation
climate services
[SDU]Sciences of the Universe [physics]
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology
spellingShingle seasonal climate prediction
Sahel
PRESA-SS
precipitation
El Niño-Southern Oscillation
climate services
[SDU]Sciences of the Universe [physics]
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology
Giannini, A.
Ali, A.
Kelley, C. P.
Lamptey, B. L.
Minoungou, B.
Ndiaye, O.
Advances in the Lead Time of Sahel Rainfall Prediction With the North American Multimodel Ensemble
topic_facet seasonal climate prediction
Sahel
PRESA-SS
precipitation
El Niño-Southern Oscillation
climate services
[SDU]Sciences of the Universe [physics]
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology
description International audience We assess the deterministic skill in seasonal climate predictions of Sahel rainfall made with the North American Multimodel Ensemble (NMME). We find that skill for a regionally averaged rainfall index is essentially the same for forecasts for the July-September target season made as early as February/March and as late as June. The two dominant influences on the climate of the Sahel, the North Atlantic and the global tropical oceans, shape this predictability. Multimodel ensemble skill hinges on the combination of skillful predictions of the El Niño-Southern Oscillation made with one model (CMC2-CanCM4) with those of North Atlantic sea surface temperatures made with another (NASA-GEOSS2S).
author2 Laboratoire de Météorologie Dynamique (UMR 8539) (LMD)
Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris
École normale supérieure - Paris (ENS-PSL)
Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL)
Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)
ANR-17-MPGA-0015,PRODUCT,processes of climate change in the tropics(2017)
format Article in Journal/Newspaper
author Giannini, A.
Ali, A.
Kelley, C. P.
Lamptey, B. L.
Minoungou, B.
Ndiaye, O.
author_facet Giannini, A.
Ali, A.
Kelley, C. P.
Lamptey, B. L.
Minoungou, B.
Ndiaye, O.
author_sort Giannini, A.
title Advances in the Lead Time of Sahel Rainfall Prediction With the North American Multimodel Ensemble
title_short Advances in the Lead Time of Sahel Rainfall Prediction With the North American Multimodel Ensemble
title_full Advances in the Lead Time of Sahel Rainfall Prediction With the North American Multimodel Ensemble
title_fullStr Advances in the Lead Time of Sahel Rainfall Prediction With the North American Multimodel Ensemble
title_full_unstemmed Advances in the Lead Time of Sahel Rainfall Prediction With the North American Multimodel Ensemble
title_sort advances in the lead time of sahel rainfall prediction with the north american multimodel ensemble
publisher HAL CCSD
publishDate 2020
url https://insu.hal.science/insu-03726986
https://insu.hal.science/insu-03726986v2/document
https://insu.hal.science/insu-03726986v2/file/Geophysical%20Research%20Letters%20-%202020%20-%20Giannini%20-%20Advances%20in%20the%20Lead%20Time%20of%20Sahel%20Rainfall%20Prediction%20With%20the%20North.pdf
https://doi.org/10.1029/2020GL087341
genre North Atlantic
genre_facet North Atlantic
op_source ISSN: 0094-8276
EISSN: 1944-8007
Geophysical Research Letters
https://insu.hal.science/insu-03726986
Geophysical Research Letters, 2020, 47, ⟨10.1029/2020GL087341⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1029/2020GL087341
insu-03726986
https://insu.hal.science/insu-03726986
https://insu.hal.science/insu-03726986v2/document
https://insu.hal.science/insu-03726986v2/file/Geophysical%20Research%20Letters%20-%202020%20-%20Giannini%20-%20Advances%20in%20the%20Lead%20Time%20of%20Sahel%20Rainfall%20Prediction%20With%20the%20North.pdf
BIBCODE: 2020GeoRL.4787341G
doi:10.1029/2020GL087341
op_rights http://hal.archives-ouvertes.fr/licences/copyright/
info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.1029/2020GL087341
container_title Geophysical Research Letters
container_volume 47
container_issue 9
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