Model Parameters That Control Mesopelagic Poc Budgets: Constraints from High Resolution Bgc-Argo Data and Impact on Poc Budgets in the Labrador Sea

ASLO Aquatic Sciences Meeting, Resilience and Recovery in Aquatic Systems, 4-9 June 2023, Palma de Mallorca, Spain.-- 1 page, figures Understanding mesopelagic carbon budgets is central to answering pressing ecological, climatic, and economic questions: from the oceans’ role in carbon sequestration...

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Main Authors: Galí, Martí, Ruprich-Robert, Yohan, Lapin, Vladimir, Mateu, Jan, Falls, Marcus, Castrillo, Miguel, Beltrán, Daniel, Loosveldt-Tomas, Saskia, Bernardello, Raffaele
Format: Still Image
Language:unknown
Published: Association for the Sciences of Limnology and Oceanography 2023
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Online Access:http://hdl.handle.net/10261/354405
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spelling ftcsic:oai:digital.csic.es:10261/354405 2024-05-19T07:43:34+00:00 Model Parameters That Control Mesopelagic Poc Budgets: Constraints from High Resolution Bgc-Argo Data and Impact on Poc Budgets in the Labrador Sea Galí, Martí Ruprich-Robert, Yohan Lapin, Vladimir Mateu, Jan Falls, Marcus Castrillo, Miguel Beltrán, Daniel Loosveldt-Tomas, Saskia Bernardello, Raffaele 2023-06-08 http://hdl.handle.net/10261/354405 unknown Association for the Sciences of Limnology and Oceanography Sí ASLO Aquatic Sciences Meeting (2023) http://hdl.handle.net/10261/354405 open póster de congreso 2023 ftcsic 2024-04-23T23:34:38Z ASLO Aquatic Sciences Meeting, Resilience and Recovery in Aquatic Systems, 4-9 June 2023, Palma de Mallorca, Spain.-- 1 page, figures Understanding mesopelagic carbon budgets is central to answering pressing ecological, climatic, and economic questions: from the oceans’ role in carbon sequestration to the transfer of primary production to higher trophic levels. However, biogeochemical models used to simulate and predict mesopelagic carbon budgets still suffer from large uncertainties, which arise in part from poorly constrained parameters. Global ocean biogeochemistry models are typically optimized using climatological fields (e.g., nutrients, oxygen, export fluxes) as observational targets, therefore tuning them to reproduce the long-term mean state of the ocean. Our working hypothesis is that model parameters can be further constrained using high-resolution profiles from biogeochemical (BGC-) Argo floats, using particulate backscattering as a proxy for particulate organic carbon (POC). To test this hypothesis, we selected single-float coherent annual time series in the Labrador Sea (subpolar North Atlantic) and matched them to 1D biogeochemical model simulations (NEMO4-PISCESv2_RC). We then identified the model parameters that control mesopelagic POC budgets to (i) run comprehensive sensitivity analyses via parameter perturbations, (ii) optimize the most sensitive parameters against BGC-Argo observations using a genetic algorithm, and (iii) quantify the impact of parameter optimization on tridimensional POC fluxes. Our approach sheds new light on elusive mesopelagic POC budgets and their modulation by intense events in productive high-latitude oceans Still Image Labrador Sea North Atlantic Digital.CSIC (Spanish National Research Council)
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language unknown
description ASLO Aquatic Sciences Meeting, Resilience and Recovery in Aquatic Systems, 4-9 June 2023, Palma de Mallorca, Spain.-- 1 page, figures Understanding mesopelagic carbon budgets is central to answering pressing ecological, climatic, and economic questions: from the oceans’ role in carbon sequestration to the transfer of primary production to higher trophic levels. However, biogeochemical models used to simulate and predict mesopelagic carbon budgets still suffer from large uncertainties, which arise in part from poorly constrained parameters. Global ocean biogeochemistry models are typically optimized using climatological fields (e.g., nutrients, oxygen, export fluxes) as observational targets, therefore tuning them to reproduce the long-term mean state of the ocean. Our working hypothesis is that model parameters can be further constrained using high-resolution profiles from biogeochemical (BGC-) Argo floats, using particulate backscattering as a proxy for particulate organic carbon (POC). To test this hypothesis, we selected single-float coherent annual time series in the Labrador Sea (subpolar North Atlantic) and matched them to 1D biogeochemical model simulations (NEMO4-PISCESv2_RC). We then identified the model parameters that control mesopelagic POC budgets to (i) run comprehensive sensitivity analyses via parameter perturbations, (ii) optimize the most sensitive parameters against BGC-Argo observations using a genetic algorithm, and (iii) quantify the impact of parameter optimization on tridimensional POC fluxes. Our approach sheds new light on elusive mesopelagic POC budgets and their modulation by intense events in productive high-latitude oceans
format Still Image
author Galí, Martí
Ruprich-Robert, Yohan
Lapin, Vladimir
Mateu, Jan
Falls, Marcus
Castrillo, Miguel
Beltrán, Daniel
Loosveldt-Tomas, Saskia
Bernardello, Raffaele
spellingShingle Galí, Martí
Ruprich-Robert, Yohan
Lapin, Vladimir
Mateu, Jan
Falls, Marcus
Castrillo, Miguel
Beltrán, Daniel
Loosveldt-Tomas, Saskia
Bernardello, Raffaele
Model Parameters That Control Mesopelagic Poc Budgets: Constraints from High Resolution Bgc-Argo Data and Impact on Poc Budgets in the Labrador Sea
author_facet Galí, Martí
Ruprich-Robert, Yohan
Lapin, Vladimir
Mateu, Jan
Falls, Marcus
Castrillo, Miguel
Beltrán, Daniel
Loosveldt-Tomas, Saskia
Bernardello, Raffaele
author_sort Galí, Martí
title Model Parameters That Control Mesopelagic Poc Budgets: Constraints from High Resolution Bgc-Argo Data and Impact on Poc Budgets in the Labrador Sea
title_short Model Parameters That Control Mesopelagic Poc Budgets: Constraints from High Resolution Bgc-Argo Data and Impact on Poc Budgets in the Labrador Sea
title_full Model Parameters That Control Mesopelagic Poc Budgets: Constraints from High Resolution Bgc-Argo Data and Impact on Poc Budgets in the Labrador Sea
title_fullStr Model Parameters That Control Mesopelagic Poc Budgets: Constraints from High Resolution Bgc-Argo Data and Impact on Poc Budgets in the Labrador Sea
title_full_unstemmed Model Parameters That Control Mesopelagic Poc Budgets: Constraints from High Resolution Bgc-Argo Data and Impact on Poc Budgets in the Labrador Sea
title_sort model parameters that control mesopelagic poc budgets: constraints from high resolution bgc-argo data and impact on poc budgets in the labrador sea
publisher Association for the Sciences of Limnology and Oceanography
publishDate 2023
url http://hdl.handle.net/10261/354405
genre Labrador Sea
North Atlantic
genre_facet Labrador Sea
North Atlantic
op_relation
ASLO Aquatic Sciences Meeting (2023)
http://hdl.handle.net/10261/354405
op_rights open
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