Quantifying Observational Errors in Biogeochemical‐Argo Oxygen, Nitrate, and Chlorophyll a Concentrations
International audience Biogeochemical (BGC)-Argo floats observations are becoming a major data source for assimilation into and constraining of ocean biogeochemical models. An important prerequisite for a successful synthesis between models and observations is the characterization of the observation...
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ftinsu:oai:HAL:hal-02376058v1 2024-02-11T10:07:35+01:00 Quantifying Observational Errors in Biogeochemical‐Argo Oxygen, Nitrate, and Chlorophyll a Concentrations Mignot, A. d'Ortenzio, F. Taillandier, V. Cossarini, G. Salon, S. Collecte Localisation Satellites Toulouse (CLS) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National d'Études Spatiales Toulouse (CNES) Laboratoire d'océanographie de Villefranche (LOV) Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS) ANR-10-EQPX-0040,NAOS,Observations de l'océan global pour l'étude et la prévision de l'océan et du climat: préparation de la nouvelle décennie d'Argo(2010) 2019-04-24 https://hal.science/hal-02376058 https://hal.science/hal-02376058/document https://hal.science/hal-02376058/file/Mignit_et_al_proof.pdf https://doi.org/10.1029/2018GL080541 en eng HAL CCSD American Geophysical Union info:eu-repo/semantics/altIdentifier/doi/10.1029/2018GL080541 hal-02376058 https://hal.science/hal-02376058 https://hal.science/hal-02376058/document https://hal.science/hal-02376058/file/Mignit_et_al_proof.pdf doi:10.1029/2018GL080541 info:eu-repo/semantics/OpenAccess ISSN: 0094-8276 EISSN: 1944-8007 Geophysical Research Letters https://hal.science/hal-02376058 Geophysical Research Letters, 2019, 46 (8), pp.4330-4337. ⟨10.1029/2018GL080541⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2019 ftinsu https://doi.org/10.1029/2018GL080541 2024-01-24T17:32:49Z International audience Biogeochemical (BGC)-Argo floats observations are becoming a major data source for assimilation into and constraining of ocean biogeochemical models. An important prerequisite for a successful synthesis between models and observations is the characterization of the observational errors in BGC-Argo float data. The root-mean-square error and multiplicative and additive biases in qualitycontrolled data sets of oxygen, nitrate, and chlorophyll a concentrations collected with 17 BGC-Argo floats in the Mediterranean Sea between 2013 and 2017 are assessed using the triple collocation analysis. The analysis suggests that BGC-Argo float oxygen, nitrate and chlorophyll a data suffer from an additive bias of 2.9 ± 5.5 μmol/kg, 0.46 ± 0.07 μmol/kg, and −0.06 ± 0.02 mg/m 3 , respectively. The root-mean-square error is evaluated at 5.1 ± 0.8 μmol/kg, 0.25 ± 0.07 μmol/kg, and 0.03 ± 0.01 mg/m 3. Additional studies should determine whether these values are applicable to the global ocean. Plain Language Summary The Biogeochemical-Argo program is a network of ocean robots whose sensors monitor oxygen, nitrate, and chlorophyll a concentration information that is needed to detect decadal changes in biological carbon production, ocean acidification, ocean carbon uptake, and hypoxia in the world ocean. One of the goals of the Biogeochemical-Argo program is to incorporate these observations into ocean models to understand and forecast the changing state of the carbon cycle. The successful integration of the float data into numerical models, however, requires the specification of the observational errors. This study provides, for the first time, the biases and errors of the three cores variables of the Biogeochemical-Argo floats network: oxygen, nitrate, and chlorophyll a concentrations. Article in Journal/Newspaper Ocean acidification Institut national des sciences de l'Univers: HAL-INSU Geophysical Research Letters 46 8 4330 4337 |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
spellingShingle |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Mignot, A. d'Ortenzio, F. Taillandier, V. Cossarini, G. Salon, S. Quantifying Observational Errors in Biogeochemical‐Argo Oxygen, Nitrate, and Chlorophyll a Concentrations |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
description |
International audience Biogeochemical (BGC)-Argo floats observations are becoming a major data source for assimilation into and constraining of ocean biogeochemical models. An important prerequisite for a successful synthesis between models and observations is the characterization of the observational errors in BGC-Argo float data. The root-mean-square error and multiplicative and additive biases in qualitycontrolled data sets of oxygen, nitrate, and chlorophyll a concentrations collected with 17 BGC-Argo floats in the Mediterranean Sea between 2013 and 2017 are assessed using the triple collocation analysis. The analysis suggests that BGC-Argo float oxygen, nitrate and chlorophyll a data suffer from an additive bias of 2.9 ± 5.5 μmol/kg, 0.46 ± 0.07 μmol/kg, and −0.06 ± 0.02 mg/m 3 , respectively. The root-mean-square error is evaluated at 5.1 ± 0.8 μmol/kg, 0.25 ± 0.07 μmol/kg, and 0.03 ± 0.01 mg/m 3. Additional studies should determine whether these values are applicable to the global ocean. Plain Language Summary The Biogeochemical-Argo program is a network of ocean robots whose sensors monitor oxygen, nitrate, and chlorophyll a concentration information that is needed to detect decadal changes in biological carbon production, ocean acidification, ocean carbon uptake, and hypoxia in the world ocean. One of the goals of the Biogeochemical-Argo program is to incorporate these observations into ocean models to understand and forecast the changing state of the carbon cycle. The successful integration of the float data into numerical models, however, requires the specification of the observational errors. This study provides, for the first time, the biases and errors of the three cores variables of the Biogeochemical-Argo floats network: oxygen, nitrate, and chlorophyll a concentrations. |
author2 |
Collecte Localisation Satellites Toulouse (CLS) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National d'Études Spatiales Toulouse (CNES) Laboratoire d'océanographie de Villefranche (LOV) Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS) ANR-10-EQPX-0040,NAOS,Observations de l'océan global pour l'étude et la prévision de l'océan et du climat: préparation de la nouvelle décennie d'Argo(2010) |
format |
Article in Journal/Newspaper |
author |
Mignot, A. d'Ortenzio, F. Taillandier, V. Cossarini, G. Salon, S. |
author_facet |
Mignot, A. d'Ortenzio, F. Taillandier, V. Cossarini, G. Salon, S. |
author_sort |
Mignot, A. |
title |
Quantifying Observational Errors in Biogeochemical‐Argo Oxygen, Nitrate, and Chlorophyll a Concentrations |
title_short |
Quantifying Observational Errors in Biogeochemical‐Argo Oxygen, Nitrate, and Chlorophyll a Concentrations |
title_full |
Quantifying Observational Errors in Biogeochemical‐Argo Oxygen, Nitrate, and Chlorophyll a Concentrations |
title_fullStr |
Quantifying Observational Errors in Biogeochemical‐Argo Oxygen, Nitrate, and Chlorophyll a Concentrations |
title_full_unstemmed |
Quantifying Observational Errors in Biogeochemical‐Argo Oxygen, Nitrate, and Chlorophyll a Concentrations |
title_sort |
quantifying observational errors in biogeochemical‐argo oxygen, nitrate, and chlorophyll a concentrations |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.science/hal-02376058 https://hal.science/hal-02376058/document https://hal.science/hal-02376058/file/Mignit_et_al_proof.pdf https://doi.org/10.1029/2018GL080541 |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_source |
ISSN: 0094-8276 EISSN: 1944-8007 Geophysical Research Letters https://hal.science/hal-02376058 Geophysical Research Letters, 2019, 46 (8), pp.4330-4337. ⟨10.1029/2018GL080541⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1029/2018GL080541 hal-02376058 https://hal.science/hal-02376058 https://hal.science/hal-02376058/document https://hal.science/hal-02376058/file/Mignit_et_al_proof.pdf doi:10.1029/2018GL080541 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1029/2018GL080541 |
container_title |
Geophysical Research Letters |
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46 |
container_issue |
8 |
container_start_page |
4330 |
op_container_end_page |
4337 |
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1790606209650262016 |