Seasonal types in homogeneous rainfall regions of the Amazon basin
Types de sous-régimes de précipitations régionaux dans le bassin amazonien
Véronique Michot
(1, 2)
,
Thomas Corpetti
(3)
,
Josyane Ronchail
(4)
,
Jhan Carlo Espinoza
(5, 6)
,
Damien Arvor
(3)
,
Beatriz M Funatsu
(7)
,
Vincent Dubreuil
(3)
1
UPCité -
Université Paris Cité
2 PRODIG (UMR_8586 / UMR_D_215 / UM_115) - Pôle de recherche pour l'organisation et la diffusion de l'information géographique
3 LETG - Rennes - Littoral, Environnement, Télédétection, Géomatique
4 VARCLIM - Océan et variabilité du climat
5 PUCP - Pontificia Universidad Católica del Perú = Pontifical Catholic University of Peru
6 IGE - Institut des Géosciences de l’Environnement
7 LETG - Nantes - Littoral, Environnement, Télédétection, Géomatique
2 PRODIG (UMR_8586 / UMR_D_215 / UM_115) - Pôle de recherche pour l'organisation et la diffusion de l'information géographique
3 LETG - Rennes - Littoral, Environnement, Télédétection, Géomatique
4 VARCLIM - Océan et variabilité du climat
5 PUCP - Pontificia Universidad Católica del Perú = Pontifical Catholic University of Peru
6 IGE - Institut des Géosciences de l’Environnement
7 LETG - Nantes - Littoral, Environnement, Télédétection, Géomatique
Véronique Michot
- Fonction : Auteur
- PersonId : 1349495
- ORCID : 0000-0001-5834-0137
Jhan Carlo Espinoza
- Fonction : Auteur
- PersonId : 769683
- ORCID : 0000-0001-7732-8504
Vincent Dubreuil
- Fonction : Auteur
- PersonId : 4905
- IdHAL : vincent-dubreuil
- ORCID : 0000-0001-8383-805X
- IdRef : 057532974
Résumé
Due to its size and geographical features, different average annual rainfall regimes co‐exist in the Amazon basin, with distinct year‐to‐year variability dependent on regions within the basin. In this study, we define and explain the seasonal regional types of annual regimes, that is, years with similar seasonal anomalies. Our work is based on a 205 rain gauge network distributed over five Amazonian countries, spanning a period over 30 years. Using a spectral clustering method, we identified seven sub‐regions within the basin in which annual rainfall regimes are spatially homogenous. For each sub‐domain, we estimated specific parameters that characterize the rainy season (onset and demise dates, sign and duration of rainfall anomalies). Finally, using spectral analysis we identified between two and four ‘seasonal type’ of precipitation in these seven sub‐domains. Most of these seasonal types are in phase with the large‐scale atmospheric circulation, which explains the temporal link with rainfall anomalies. The seasonal types result of the superposition of inter‐annual and intra‐seasonal variability whose factors are then difficult to identify and attribute. Part of the rainfall anomalies characterizing seasonal types is related to the inter‐annual variability of the sea surface temperature in the Atlantic or the Pacific oceans, especially in the northeast and southeast part of the Amazon basin, whereas in other parts, strong intra‐seasonal and local factors have a larger impact. The same sign and duration of anomalies do not concomitantly affect the various regions of the Amazon basin, confirming that one mode of variability does not homogeneously affect precipitation in different parts of the basin.
Format du dépôt | Notice |
---|---|
Type de dépôt | Article dans une revue |
Résumé |
en
Due to its size and geographical features, different average annual rainfall regimes co‐exist in the Amazon basin, with distinct year‐to‐year variability dependent on regions within the basin. In this study, we define and explain the seasonal regional types of annual regimes, that is, years with similar seasonal anomalies. Our work is based on a 205 rain gauge network distributed over five Amazonian countries, spanning a period over 30 years. Using a spectral clustering method, we identified seven sub‐regions within the basin in which annual rainfall regimes are spatially homogenous. For each sub‐domain, we estimated specific parameters that characterize the rainy season (onset and demise dates, sign and duration of rainfall anomalies). Finally, using spectral analysis we identified between two and four ‘seasonal type’ of precipitation in these seven sub‐domains. Most of these seasonal types are in phase with the large‐scale atmospheric circulation, which explains the temporal link with rainfall anomalies. The seasonal types result of the superposition of inter‐annual and intra‐seasonal variability whose factors are then difficult to identify and attribute. Part of the rainfall anomalies characterizing seasonal types is related to the inter‐annual variability of the sea surface temperature in the Atlantic or the Pacific oceans, especially in the northeast and southeast part of the Amazon basin, whereas in other parts, strong intra‐seasonal and local factors have a larger impact. The same sign and duration of anomalies do not concomitantly affect the various regions of the Amazon basin, confirming that one mode of variability does not homogeneously affect precipitation in different parts of the basin.
|
Titre |
en
Seasonal types in homogeneous rainfall regions of the Amazon basin
fr
Types de sous-régimes de précipitations régionaux dans le bassin amazonien
|
Auteur(s) |
Véronique Michot
1, 2
, Thomas Corpetti
3
, Josyane Ronchail
4
, Jhan Carlo Espinoza
5, 6
, Damien Arvor
3
, Beatriz M Funatsu
7
, Vincent Dubreuil
3
1
UPCité -
Université Paris Cité
( 557826 )
- 85 boulevard Saint-Germain
75006 Paris
- France
2
PRODIG (UMR_8586 / UMR_D_215 / UM_115) -
Pôle de recherche pour l'organisation et la diffusion de l'information géographique
( 1005040 )
- PRODIG - 2 rue Valette - 75005 Paris
- France
3
LETG - Rennes -
Littoral, Environnement, Télédétection, Géomatique
( 1088629 )
- Maison de la Recherche Place du Recteur Henri Le Moal 35043 RENNES CEDEX
- France
4
VARCLIM -
Océan et variabilité du climat
( 541822 )
- France
5
PUCP -
Pontificia Universidad Católica del Perú = Pontifical Catholic University of Peru
( 451942 )
- Av. Universitaria 1801, San Miguel Lima 32, Pérou
- Pérou
6
IGE -
Institut des Géosciences de l’Environnement
( 1156339 )
- UGA - IGE
CS 40700
38 058 Grenoble Cedex 9
- France
7
LETG - Nantes -
Littoral, Environnement, Télédétection, Géomatique
( 1088605 )
- Institut de Géographie et d'Aménagement de l'Université de Nantes Campus du Tertre BP 8122 44312 NANTES CEDEX 3
- France
|
Volume |
44
|
Numéro |
4
|
Page/Identifiant |
1224-1244
|
Langue du document |
Anglais
|
Nom de la revue |
|
Date de publication |
2024-02-14
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Projet(s) ANR |
|
Domaine(s) |
|
Mots-clés |
en
precipitation regimes, rain gauge network, sea surface temperature, seasonal type, spectral clustering
|
DOI | 10.1002/joc.8380 |
UT key WOS | 001161918400001 |
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