Evaluation of Vertical Patterns in Chlorophyll‐A Derived From a Data Assimilating Model of Satellite‐Based Ocean Color
Abstract Satellite‐based sensors of ocean color have become the primary tool to infer changes in surface chlorophyll, while BGC‐Argo floats are now filling the information gap at depth. Here we use BGC‐Argo data to assess depth‐resolved information on chlorophyll‐a derived from an ocean biogeochemic...
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American Geophysical Union (AGU)
2024
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ftdoajarticles:oai:doaj.org/article:071d96cd0a5e4b6688cf5d1b263011ce 2024-09-15T18:37:08+00:00 Evaluation of Vertical Patterns in Chlorophyll‐A Derived From a Data Assimilating Model of Satellite‐Based Ocean Color Lionel A. Arteaga Cecile S. Rousseaux 2024-07-01T00:00:00Z https://doi.org/10.1029/2023EA003378 https://doaj.org/article/071d96cd0a5e4b6688cf5d1b263011ce EN eng American Geophysical Union (AGU) https://doi.org/10.1029/2023EA003378 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2023EA003378 https://doaj.org/article/071d96cd0a5e4b6688cf5d1b263011ce Earth and Space Science, Vol 11, Iss 7, Pp n/a-n/a (2024) chlorophyll phytoplankton modeling assimilation satellite argo Astronomy QB1-991 Geology QE1-996.5 article 2024 ftdoajarticles https://doi.org/10.1029/2023EA003378 2024-08-19T14:56:40Z Abstract Satellite‐based sensors of ocean color have become the primary tool to infer changes in surface chlorophyll, while BGC‐Argo floats are now filling the information gap at depth. Here we use BGC‐Argo data to assess depth‐resolved information on chlorophyll‐a derived from an ocean biogeochemical model constrained by the assimilation of surface ocean color remote sensing. The data‐assimilating model replicates well the general seasonality and meridional gradients in surface and depth‐resolved chlorophyll‐a inferred from the float array in the Southern Ocean. On average, the model tends to overestimate float‐based chlorophyll, particularly at times and locations of high productivity such as the beginning of the spring bloom, subtropical deep chlorophyll maxima, and non‐iron limited regions of the Southern Ocean. The highest model RMSE in the upper 50 m with respect to the float array is of 0.6 mg Chl m−3, which should allow the detection of seasonal changes in float‐based biomass (varying between 0.01 and >1 mg Chl m−3) but might hinder the identification of subtle changes in chlorophyll at narrow local scales. Both model and float profiling data show good agreement with in situ data from station ALOHA, with model estimates showing a slight accuracy edge in inferring depth‐resolved observations. Uncertainties in float bio‐optical estimates impede their use as a reliable benchmark for validation, but the general qualitative agreement between model and float data provides confidence in the ability of model to replicate biogeochemical features below the surface, where data is not directly constrained by the assimilation of satellite ocean color. Article in Journal/Newspaper Southern Ocean Directory of Open Access Journals: DOAJ Articles Earth and Space Science 11 7 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
chlorophyll phytoplankton modeling assimilation satellite argo Astronomy QB1-991 Geology QE1-996.5 |
spellingShingle |
chlorophyll phytoplankton modeling assimilation satellite argo Astronomy QB1-991 Geology QE1-996.5 Lionel A. Arteaga Cecile S. Rousseaux Evaluation of Vertical Patterns in Chlorophyll‐A Derived From a Data Assimilating Model of Satellite‐Based Ocean Color |
topic_facet |
chlorophyll phytoplankton modeling assimilation satellite argo Astronomy QB1-991 Geology QE1-996.5 |
description |
Abstract Satellite‐based sensors of ocean color have become the primary tool to infer changes in surface chlorophyll, while BGC‐Argo floats are now filling the information gap at depth. Here we use BGC‐Argo data to assess depth‐resolved information on chlorophyll‐a derived from an ocean biogeochemical model constrained by the assimilation of surface ocean color remote sensing. The data‐assimilating model replicates well the general seasonality and meridional gradients in surface and depth‐resolved chlorophyll‐a inferred from the float array in the Southern Ocean. On average, the model tends to overestimate float‐based chlorophyll, particularly at times and locations of high productivity such as the beginning of the spring bloom, subtropical deep chlorophyll maxima, and non‐iron limited regions of the Southern Ocean. The highest model RMSE in the upper 50 m with respect to the float array is of 0.6 mg Chl m−3, which should allow the detection of seasonal changes in float‐based biomass (varying between 0.01 and >1 mg Chl m−3) but might hinder the identification of subtle changes in chlorophyll at narrow local scales. Both model and float profiling data show good agreement with in situ data from station ALOHA, with model estimates showing a slight accuracy edge in inferring depth‐resolved observations. Uncertainties in float bio‐optical estimates impede their use as a reliable benchmark for validation, but the general qualitative agreement between model and float data provides confidence in the ability of model to replicate biogeochemical features below the surface, where data is not directly constrained by the assimilation of satellite ocean color. |
format |
Article in Journal/Newspaper |
author |
Lionel A. Arteaga Cecile S. Rousseaux |
author_facet |
Lionel A. Arteaga Cecile S. Rousseaux |
author_sort |
Lionel A. Arteaga |
title |
Evaluation of Vertical Patterns in Chlorophyll‐A Derived From a Data Assimilating Model of Satellite‐Based Ocean Color |
title_short |
Evaluation of Vertical Patterns in Chlorophyll‐A Derived From a Data Assimilating Model of Satellite‐Based Ocean Color |
title_full |
Evaluation of Vertical Patterns in Chlorophyll‐A Derived From a Data Assimilating Model of Satellite‐Based Ocean Color |
title_fullStr |
Evaluation of Vertical Patterns in Chlorophyll‐A Derived From a Data Assimilating Model of Satellite‐Based Ocean Color |
title_full_unstemmed |
Evaluation of Vertical Patterns in Chlorophyll‐A Derived From a Data Assimilating Model of Satellite‐Based Ocean Color |
title_sort |
evaluation of vertical patterns in chlorophyll‐a derived from a data assimilating model of satellite‐based ocean color |
publisher |
American Geophysical Union (AGU) |
publishDate |
2024 |
url |
https://doi.org/10.1029/2023EA003378 https://doaj.org/article/071d96cd0a5e4b6688cf5d1b263011ce |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
Earth and Space Science, Vol 11, Iss 7, Pp n/a-n/a (2024) |
op_relation |
https://doi.org/10.1029/2023EA003378 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2023EA003378 https://doaj.org/article/071d96cd0a5e4b6688cf5d1b263011ce |
op_doi |
https://doi.org/10.1029/2023EA003378 |
container_title |
Earth and Space Science |
container_volume |
11 |
container_issue |
7 |
_version_ |
1810481476362305536 |