Merging of ocean color data from multiple sensors : application to operational oceanography

Phytoplankton play an important role in the carbon cycle on Earth, via the carbon dioxide absorption during photosynthesis. If scientific cruises provide high frequency data at high space-time resolution, the observation from space allows a synoptic description and on long periods of chlorophyll-a,...

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Main Author: Pottier, Claire
Other Authors: 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), Université Paul Sabatier - Toulouse III, Véronique GARÇON
Format: Doctoral or Postdoctoral Thesis
Language:French
Published: HAL CCSD 2006
Subjects:
Online Access:https://theses.hal.science/tel-00179729
https://theses.hal.science/tel-00179729/document
https://theses.hal.science/tel-00179729/file/Pottier_these_06.pdf
id ftinsu:oai:HAL:tel-00179729v1
record_format openpolar
institution Open Polar
collection Institut national des sciences de l'Univers: HAL-INSU
op_collection_id ftinsu
language French
topic ocean color
weighted averaging
objective analysis
wavelets
Southern Ocean
space data
in situ data
données satellitaires
données in situ
couleur de l'eau
moyenne pondérée
analyse objective
ondelettes
Océan Austral
[SDU.OTHER]Sciences of the Universe [physics]/Other
spellingShingle ocean color
weighted averaging
objective analysis
wavelets
Southern Ocean
space data
in situ data
données satellitaires
données in situ
couleur de l'eau
moyenne pondérée
analyse objective
ondelettes
Océan Austral
[SDU.OTHER]Sciences of the Universe [physics]/Other
Pottier, Claire
Merging of ocean color data from multiple sensors : application to operational oceanography
topic_facet ocean color
weighted averaging
objective analysis
wavelets
Southern Ocean
space data
in situ data
données satellitaires
données in situ
couleur de l'eau
moyenne pondérée
analyse objective
ondelettes
Océan Austral
[SDU.OTHER]Sciences of the Universe [physics]/Other
description Phytoplankton play an important role in the carbon cycle on Earth, via the carbon dioxide absorption during photosynthesis. If scientific cruises provide high frequency data at high space-time resolution, the observation from space allows a synoptic description and on long periods of chlorophyll-a, the ocean phytoplankton's main pigment. Each space mission measuring ocean color is limited in ocean spatial coverage (satellite tracks, clouds, etc.). The daily spatial coverage may increase significantly by merging datasets from several sensors. The objective of this Ph.D. was to design, develop and test different methods which combine ocean color data, from the American sensors SeaWiFS and MODIS/Aqua, for near real time applications for operational oceanography. Three concepts have been studied : error-weighted averaging (keeps the structures accuracy but uses only existing data), objective analysis (increases spatial coverage but, in return, smoothes the field), and a last new approach based on the wavelets transform (keeps the structures accuracy and increases the spatial coverage). The operationality of these three methods has been demonstrated. The relevance of using combined data was studied by highlighting the dominant modes of oceanic variability in physical and biological dynamics in the Southern Ocean, by using SeaWiFS + MODIS/Aqua combined data from the Antarctic circumpolar belt during the 2002-2006 period. Le phytoplancton joue un rôle important dans le cycle du carbone sur Terre, de par l'absorption du dioxyde de carbone au cours de la photosynthèse. Si les campagnes en mer offrent la possibilité d'acquérir des données à haute fréquence et à fine échelle spatio-temporelle, l'observation spatiale procure une description synoptique et sur de longues périodes de la chlorophylle-a, pigment principal du phytoplancton océanique. Chaque mission satellitaire qui mesure la couleur de l'eau est limitée en couverture océanique (traces du satellite, nuages, etc.). La couverture spatiale journalière peut ...
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)
Université Paul Sabatier - Toulouse III
Véronique GARÇON
format Doctoral or Postdoctoral Thesis
author Pottier, Claire
author_facet Pottier, Claire
author_sort Pottier, Claire
title Merging of ocean color data from multiple sensors : application to operational oceanography
title_short Merging of ocean color data from multiple sensors : application to operational oceanography
title_full Merging of ocean color data from multiple sensors : application to operational oceanography
title_fullStr Merging of ocean color data from multiple sensors : application to operational oceanography
title_full_unstemmed Merging of ocean color data from multiple sensors : application to operational oceanography
title_sort merging of ocean color data from multiple sensors : application to operational oceanography
publisher HAL CCSD
publishDate 2006
url https://theses.hal.science/tel-00179729
https://theses.hal.science/tel-00179729/document
https://theses.hal.science/tel-00179729/file/Pottier_these_06.pdf
geographic Antarctic
Austral
Southern Ocean
The Antarctic
geographic_facet Antarctic
Austral
Southern Ocean
The Antarctic
genre Antarc*
Antarctic
Southern Ocean
genre_facet Antarc*
Antarctic
Southern Ocean
op_source https://theses.hal.science/tel-00179729
Autre. Université Paul Sabatier - Toulouse III, 2006. Français. ⟨NNT : ⟩
op_relation tel-00179729
https://theses.hal.science/tel-00179729
https://theses.hal.science/tel-00179729/document
https://theses.hal.science/tel-00179729/file/Pottier_these_06.pdf
op_rights info:eu-repo/semantics/OpenAccess
_version_ 1785536211965706240
spelling ftinsu:oai:HAL:tel-00179729v1 2023-12-17T10:21:35+01:00 Merging of ocean color data from multiple sensors : application to operational oceanography Combinaison multi-capteurs de données de couleur de l'eau : application en océanographie opérationnelle Pottier, Claire 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) Université Paul Sabatier - Toulouse III Véronique GARÇON 2006-12-22 https://theses.hal.science/tel-00179729 https://theses.hal.science/tel-00179729/document https://theses.hal.science/tel-00179729/file/Pottier_these_06.pdf fr fre HAL CCSD tel-00179729 https://theses.hal.science/tel-00179729 https://theses.hal.science/tel-00179729/document https://theses.hal.science/tel-00179729/file/Pottier_these_06.pdf info:eu-repo/semantics/OpenAccess https://theses.hal.science/tel-00179729 Autre. Université Paul Sabatier - Toulouse III, 2006. Français. ⟨NNT : ⟩ ocean color weighted averaging objective analysis wavelets Southern Ocean space data in situ data données satellitaires données in situ couleur de l'eau moyenne pondérée analyse objective ondelettes Océan Austral [SDU.OTHER]Sciences of the Universe [physics]/Other info:eu-repo/semantics/doctoralThesis Theses 2006 ftinsu 2023-11-22T17:47:31Z Phytoplankton play an important role in the carbon cycle on Earth, via the carbon dioxide absorption during photosynthesis. If scientific cruises provide high frequency data at high space-time resolution, the observation from space allows a synoptic description and on long periods of chlorophyll-a, the ocean phytoplankton's main pigment. Each space mission measuring ocean color is limited in ocean spatial coverage (satellite tracks, clouds, etc.). The daily spatial coverage may increase significantly by merging datasets from several sensors. The objective of this Ph.D. was to design, develop and test different methods which combine ocean color data, from the American sensors SeaWiFS and MODIS/Aqua, for near real time applications for operational oceanography. Three concepts have been studied : error-weighted averaging (keeps the structures accuracy but uses only existing data), objective analysis (increases spatial coverage but, in return, smoothes the field), and a last new approach based on the wavelets transform (keeps the structures accuracy and increases the spatial coverage). The operationality of these three methods has been demonstrated. The relevance of using combined data was studied by highlighting the dominant modes of oceanic variability in physical and biological dynamics in the Southern Ocean, by using SeaWiFS + MODIS/Aqua combined data from the Antarctic circumpolar belt during the 2002-2006 period. Le phytoplancton joue un rôle important dans le cycle du carbone sur Terre, de par l'absorption du dioxyde de carbone au cours de la photosynthèse. Si les campagnes en mer offrent la possibilité d'acquérir des données à haute fréquence et à fine échelle spatio-temporelle, l'observation spatiale procure une description synoptique et sur de longues périodes de la chlorophylle-a, pigment principal du phytoplancton océanique. Chaque mission satellitaire qui mesure la couleur de l'eau est limitée en couverture océanique (traces du satellite, nuages, etc.). La couverture spatiale journalière peut ... Doctoral or Postdoctoral Thesis Antarc* Antarctic Southern Ocean Institut national des sciences de l'Univers: HAL-INSU Antarctic Austral Southern Ocean The Antarctic