Evaluation of Vertical Patterns in Chlorophyll-A Derived From a Data Assimilating Model of Satellite-Based Ocean Color ...
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...
Main Authors: | , |
---|---|
Format: | Text |
Language: | English |
Published: |
AGU
2024
|
Subjects: | |
Online Access: | https://dx.doi.org/10.13016/m2h4ge-grac https://mdsoar.org/handle/11603/35187 |
id |
ftdatacite:10.13016/m2h4ge-grac |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.13016/m2h4ge-grac 2024-09-15T18:37:03+00:00 Evaluation of Vertical Patterns in Chlorophyll-A Derived From a Data Assimilating Model of Satellite-Based Ocean Color ... Arteaga Quintero, Lionel Alejandro Rousseaux, Cecile S. 2024 https://dx.doi.org/10.13016/m2h4ge-grac https://mdsoar.org/handle/11603/35187 en eng AGU Public Domain This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. https://creativecommons.org/publicdomain/mark/1.0/ satellite assimilation chlorophyll phytoplankton argo modeling Text ScholarlyArticle article-journal 2024 ftdatacite https://doi.org/10.13016/m2h4ge-grac 2024-09-02T08:09:22Z 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 ... Text Southern Ocean DataCite |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
satellite assimilation chlorophyll phytoplankton argo modeling |
spellingShingle |
satellite assimilation chlorophyll phytoplankton argo modeling Arteaga Quintero, Lionel Alejandro Rousseaux, Cecile S. Evaluation of Vertical Patterns in Chlorophyll-A Derived From a Data Assimilating Model of Satellite-Based Ocean Color ... |
topic_facet |
satellite assimilation chlorophyll phytoplankton argo modeling |
description |
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 ... |
format |
Text |
author |
Arteaga Quintero, Lionel Alejandro Rousseaux, Cecile S. |
author_facet |
Arteaga Quintero, Lionel Alejandro Rousseaux, Cecile S. |
author_sort |
Arteaga Quintero, Lionel Alejandro |
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 |
AGU |
publishDate |
2024 |
url |
https://dx.doi.org/10.13016/m2h4ge-grac https://mdsoar.org/handle/11603/35187 |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_rights |
Public Domain This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. https://creativecommons.org/publicdomain/mark/1.0/ |
op_doi |
https://doi.org/10.13016/m2h4ge-grac |
_version_ |
1810481310452416512 |