Analysis of the interannual variability in satellite gravity solutions: detection of climate modes fingerprints in water mass displacements across continents and oceans
International audience This study analyzes the interannual variability of the water mass transport measured by satellite gravity missions in regard to eight major climate modes known to influence the Earth's climate from regional to global scales. Using sparsity promoting techniques (i.e., LASS...
Published in: | Climate Dynamics |
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Online Access: | https://insu.hal.science/insu-03671327 https://insu.hal.science/insu-03671327/document https://insu.hal.science/insu-03671327/file/Pfeffer2022_Article_AnalysisOfTheInterannualVariab.pdf https://doi.org/10.1007/s00382-021-05953-z |
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ftutoulouse3hal:oai:HAL:insu-03671327v1 2024-09-09T19:27:21+00:00 Analysis of the interannual variability in satellite gravity solutions: detection of climate modes fingerprints in water mass displacements across continents and oceans Pfeffer, Julia Cazenave, Anny Barnoud, Anne Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) 2021 https://insu.hal.science/insu-03671327 https://insu.hal.science/insu-03671327/document https://insu.hal.science/insu-03671327/file/Pfeffer2022_Article_AnalysisOfTheInterannualVariab.pdf https://doi.org/10.1007/s00382-021-05953-z en eng HAL CCSD Springer Verlag info:eu-repo/semantics/altIdentifier/doi/10.1007/s00382-021-05953-z insu-03671327 https://insu.hal.science/insu-03671327 https://insu.hal.science/insu-03671327/document https://insu.hal.science/insu-03671327/file/Pfeffer2022_Article_AnalysisOfTheInterannualVariab.pdf BIBCODE: 2021ClDy.tmp.403P doi:10.1007/s00382-021-05953-z http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 0930-7575 EISSN: 1432-0894 Climate Dynamics https://insu.hal.science/insu-03671327 Climate Dynamics, 2021, ⟨10.1007/s00382-021-05953-z⟩ Satellite gravity measurements Natural climate variability Climate modes [SDU]Sciences of the Universe [physics] [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology info:eu-repo/semantics/article Journal articles 2021 ftutoulouse3hal https://doi.org/10.1007/s00382-021-05953-z 2024-06-25T00:09:42Z International audience This study analyzes the interannual variability of the water mass transport measured by satellite gravity missions in regard to eight major climate modes known to influence the Earth's climate from regional to global scales. Using sparsity promoting techniques (i.e., LASSO), we automatically select the most relevant predictors of the climate variability among the eight candidates considered. The El Niño-Southern Oscillation, Southern Annular Mode and Arctic Oscillation are shown to account for a large part the interannual variability of the water mass transport observed in extratropical ocean basins (up to 40%) and shallow seas (up to 70%). A combination of three Pacific and one Atlantic modes is needed to account for most (up to 60%) of the interannual variability of the terrestrial water storage observed in the North Amazon, Parana and Zambezi basins. With our technique, the impact of climate modes on water mass changes can be tracked across distinct water reservoirs (oceans, continents and ice-covered regions) and we show that a combination of climate modes is necessary to explain at best the natural variability in water mass transport. The climate modes predictions based on LASSO inversions can be used to reduce the inter-annual variability in satellite gravity measurements and detect processes unrelated with the natural variability of climate but with similar spatio-temporal signatures. However, significant residuals in the satellite gravity measurements remain unexplained at inter-annual time scales and more complex models solving the water mass balance should be employed to better predict the variability of water mass distributions. Article in Journal/Newspaper Arctic Université Toulouse III - Paul Sabatier: HAL-UPS Arctic Pacific Climate Dynamics 58 3-4 1065 1084 |
institution |
Open Polar |
collection |
Université Toulouse III - Paul Sabatier: HAL-UPS |
op_collection_id |
ftutoulouse3hal |
language |
English |
topic |
Satellite gravity measurements Natural climate variability Climate modes [SDU]Sciences of the Universe [physics] [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology |
spellingShingle |
Satellite gravity measurements Natural climate variability Climate modes [SDU]Sciences of the Universe [physics] [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology Pfeffer, Julia Cazenave, Anny Barnoud, Anne Analysis of the interannual variability in satellite gravity solutions: detection of climate modes fingerprints in water mass displacements across continents and oceans |
topic_facet |
Satellite gravity measurements Natural climate variability Climate modes [SDU]Sciences of the Universe [physics] [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology |
description |
International audience This study analyzes the interannual variability of the water mass transport measured by satellite gravity missions in regard to eight major climate modes known to influence the Earth's climate from regional to global scales. Using sparsity promoting techniques (i.e., LASSO), we automatically select the most relevant predictors of the climate variability among the eight candidates considered. The El Niño-Southern Oscillation, Southern Annular Mode and Arctic Oscillation are shown to account for a large part the interannual variability of the water mass transport observed in extratropical ocean basins (up to 40%) and shallow seas (up to 70%). A combination of three Pacific and one Atlantic modes is needed to account for most (up to 60%) of the interannual variability of the terrestrial water storage observed in the North Amazon, Parana and Zambezi basins. With our technique, the impact of climate modes on water mass changes can be tracked across distinct water reservoirs (oceans, continents and ice-covered regions) and we show that a combination of climate modes is necessary to explain at best the natural variability in water mass transport. The climate modes predictions based on LASSO inversions can be used to reduce the inter-annual variability in satellite gravity measurements and detect processes unrelated with the natural variability of climate but with similar spatio-temporal signatures. However, significant residuals in the satellite gravity measurements remain unexplained at inter-annual time scales and more complex models solving the water mass balance should be employed to better predict the variability of water mass distributions. |
author2 |
Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Pfeffer, Julia Cazenave, Anny Barnoud, Anne |
author_facet |
Pfeffer, Julia Cazenave, Anny Barnoud, Anne |
author_sort |
Pfeffer, Julia |
title |
Analysis of the interannual variability in satellite gravity solutions: detection of climate modes fingerprints in water mass displacements across continents and oceans |
title_short |
Analysis of the interannual variability in satellite gravity solutions: detection of climate modes fingerprints in water mass displacements across continents and oceans |
title_full |
Analysis of the interannual variability in satellite gravity solutions: detection of climate modes fingerprints in water mass displacements across continents and oceans |
title_fullStr |
Analysis of the interannual variability in satellite gravity solutions: detection of climate modes fingerprints in water mass displacements across continents and oceans |
title_full_unstemmed |
Analysis of the interannual variability in satellite gravity solutions: detection of climate modes fingerprints in water mass displacements across continents and oceans |
title_sort |
analysis of the interannual variability in satellite gravity solutions: detection of climate modes fingerprints in water mass displacements across continents and oceans |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://insu.hal.science/insu-03671327 https://insu.hal.science/insu-03671327/document https://insu.hal.science/insu-03671327/file/Pfeffer2022_Article_AnalysisOfTheInterannualVariab.pdf https://doi.org/10.1007/s00382-021-05953-z |
geographic |
Arctic Pacific |
geographic_facet |
Arctic Pacific |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
ISSN: 0930-7575 EISSN: 1432-0894 Climate Dynamics https://insu.hal.science/insu-03671327 Climate Dynamics, 2021, ⟨10.1007/s00382-021-05953-z⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1007/s00382-021-05953-z insu-03671327 https://insu.hal.science/insu-03671327 https://insu.hal.science/insu-03671327/document https://insu.hal.science/insu-03671327/file/Pfeffer2022_Article_AnalysisOfTheInterannualVariab.pdf BIBCODE: 2021ClDy.tmp.403P doi:10.1007/s00382-021-05953-z |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1007/s00382-021-05953-z |
container_title |
Climate Dynamics |
container_volume |
58 |
container_issue |
3-4 |
container_start_page |
1065 |
op_container_end_page |
1084 |
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1809896790806233088 |