LIGHT-bgcArgo-1.0: using synthetic float capabilities in E3SMv2 to assess spatiotemporal variability in ocean physics and biogeochemistry
Since their advent over 2 decades ago, autonomous Argo floats have revolutionized the field of oceanography, and, more recently, the addition of biogeochemical and biological sensors to these floats has greatly improved our understanding of carbon, nutrient, and oxygen cycling in the ocean. While Ar...
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ftdoajarticles:oai:doaj.org/article:b1aac3bf366c4da9941a49cde4b8a509 2024-09-15T18:35:35+00:00 LIGHT-bgcArgo-1.0: using synthetic float capabilities in E3SMv2 to assess spatiotemporal variability in ocean physics and biogeochemistry C. Nissen N. S. Lovenduski M. Maltrud A. R. Gray Y. Takano K. Falcinelli J. Sauvé K. Smith 2024-08-01T00:00:00Z https://doi.org/10.5194/gmd-17-6415-2024 https://doaj.org/article/b1aac3bf366c4da9941a49cde4b8a509 EN eng Copernicus Publications https://gmd.copernicus.org/articles/17/6415/2024/gmd-17-6415-2024.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-17-6415-2024 1991-959X 1991-9603 https://doaj.org/article/b1aac3bf366c4da9941a49cde4b8a509 Geoscientific Model Development, Vol 17, Pp 6415-6435 (2024) Geology QE1-996.5 article 2024 ftdoajarticles https://doi.org/10.5194/gmd-17-6415-2024 2024-09-02T15:34:37Z Since their advent over 2 decades ago, autonomous Argo floats have revolutionized the field of oceanography, and, more recently, the addition of biogeochemical and biological sensors to these floats has greatly improved our understanding of carbon, nutrient, and oxygen cycling in the ocean. While Argo floats offer unprecedented horizontal, vertical, and temporal coverage of the global ocean, uncertainties remain about whether Argo sampling frequency and density capture the true spatiotemporal variability in physical, biogeochemical, and biological properties. As the true distributions of, e.g., temperature or oxygen are unknown, these uncertainties remain difficult to address with Argo floats alone. Numerical models with synthetic observing systems offer one potential avenue to address these uncertainties. Here, we implement synthetic biogeochemical Argo floats into the Energy Exascale Earth System Model version 2 (E3SMv2), which build on the Lagrangian In Situ Global High-Performance Particle Tracking (LIGHT) module in E3SMv2 (E3SMv2-LIGHT-bgcArgo-1.0). Since the synthetic floats sample the model fields at model run time, the end user defines the sampling protocol ahead of any model simulation, including the number and distribution of synthetic floats to be deployed, their sampling frequency, and the prognostic or diagnostic model fields to be sampled. Using a 6-year proof-of-concept simulation, we illustrate the utility of the synthetic floats in different case studies. In particular, we quantify the impact of (i) sampling density on the float-derived detection of deep-ocean change in temperature or oxygen and on float-derived estimates of phytoplankton phenology, (ii) sampling frequency and sea-ice cover on float trajectory lengths and hence float-derived estimates of current velocities, and (iii) short-term variability in ecosystem stressors on estimates of their seasonal variability. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Geoscientific Model Development 17 16 6415 6435 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Geology QE1-996.5 |
spellingShingle |
Geology QE1-996.5 C. Nissen N. S. Lovenduski M. Maltrud A. R. Gray Y. Takano K. Falcinelli J. Sauvé K. Smith LIGHT-bgcArgo-1.0: using synthetic float capabilities in E3SMv2 to assess spatiotemporal variability in ocean physics and biogeochemistry |
topic_facet |
Geology QE1-996.5 |
description |
Since their advent over 2 decades ago, autonomous Argo floats have revolutionized the field of oceanography, and, more recently, the addition of biogeochemical and biological sensors to these floats has greatly improved our understanding of carbon, nutrient, and oxygen cycling in the ocean. While Argo floats offer unprecedented horizontal, vertical, and temporal coverage of the global ocean, uncertainties remain about whether Argo sampling frequency and density capture the true spatiotemporal variability in physical, biogeochemical, and biological properties. As the true distributions of, e.g., temperature or oxygen are unknown, these uncertainties remain difficult to address with Argo floats alone. Numerical models with synthetic observing systems offer one potential avenue to address these uncertainties. Here, we implement synthetic biogeochemical Argo floats into the Energy Exascale Earth System Model version 2 (E3SMv2), which build on the Lagrangian In Situ Global High-Performance Particle Tracking (LIGHT) module in E3SMv2 (E3SMv2-LIGHT-bgcArgo-1.0). Since the synthetic floats sample the model fields at model run time, the end user defines the sampling protocol ahead of any model simulation, including the number and distribution of synthetic floats to be deployed, their sampling frequency, and the prognostic or diagnostic model fields to be sampled. Using a 6-year proof-of-concept simulation, we illustrate the utility of the synthetic floats in different case studies. In particular, we quantify the impact of (i) sampling density on the float-derived detection of deep-ocean change in temperature or oxygen and on float-derived estimates of phytoplankton phenology, (ii) sampling frequency and sea-ice cover on float trajectory lengths and hence float-derived estimates of current velocities, and (iii) short-term variability in ecosystem stressors on estimates of their seasonal variability. |
format |
Article in Journal/Newspaper |
author |
C. Nissen N. S. Lovenduski M. Maltrud A. R. Gray Y. Takano K. Falcinelli J. Sauvé K. Smith |
author_facet |
C. Nissen N. S. Lovenduski M. Maltrud A. R. Gray Y. Takano K. Falcinelli J. Sauvé K. Smith |
author_sort |
C. Nissen |
title |
LIGHT-bgcArgo-1.0: using synthetic float capabilities in E3SMv2 to assess spatiotemporal variability in ocean physics and biogeochemistry |
title_short |
LIGHT-bgcArgo-1.0: using synthetic float capabilities in E3SMv2 to assess spatiotemporal variability in ocean physics and biogeochemistry |
title_full |
LIGHT-bgcArgo-1.0: using synthetic float capabilities in E3SMv2 to assess spatiotemporal variability in ocean physics and biogeochemistry |
title_fullStr |
LIGHT-bgcArgo-1.0: using synthetic float capabilities in E3SMv2 to assess spatiotemporal variability in ocean physics and biogeochemistry |
title_full_unstemmed |
LIGHT-bgcArgo-1.0: using synthetic float capabilities in E3SMv2 to assess spatiotemporal variability in ocean physics and biogeochemistry |
title_sort |
light-bgcargo-1.0: using synthetic float capabilities in e3smv2 to assess spatiotemporal variability in ocean physics and biogeochemistry |
publisher |
Copernicus Publications |
publishDate |
2024 |
url |
https://doi.org/10.5194/gmd-17-6415-2024 https://doaj.org/article/b1aac3bf366c4da9941a49cde4b8a509 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Geoscientific Model Development, Vol 17, Pp 6415-6435 (2024) |
op_relation |
https://gmd.copernicus.org/articles/17/6415/2024/gmd-17-6415-2024.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-17-6415-2024 1991-959X 1991-9603 https://doaj.org/article/b1aac3bf366c4da9941a49cde4b8a509 |
op_doi |
https://doi.org/10.5194/gmd-17-6415-2024 |
container_title |
Geoscientific Model Development |
container_volume |
17 |
container_issue |
16 |
container_start_page |
6415 |
op_container_end_page |
6435 |
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1810478775260938240 |