Natural Ocean Carbon Cycle Sensitivity to Parameterizations of the Recycling in a Climate Model

Sensitivities of the oceanic biological pump within the GISS (Goddard Institute for Space Studies ) climate modeling system are explored here. Results are presented from twin control simulations of the air-sea CO2 gas exchange using two different ocean models coupled to the same atmosphere. The two...

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Main Authors: Romanski, J., Romanou, A., Gregg, W. W.
Format: Other/Unknown Material
Language:unknown
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/2060/20150002124
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spelling ftnasantrs:oai:casi.ntrs.nasa.gov:20150002124 2023-05-15T18:24:58+02:00 Natural Ocean Carbon Cycle Sensitivity to Parameterizations of the Recycling in a Climate Model Romanski, J. Romanou, A. Gregg, W. W. Unclassified, Unlimited, Publicly available February 26, 2014 application/pdf http://hdl.handle.net/2060/20150002124 unknown Document ID: 20150002124 http://hdl.handle.net/2060/20150002124 Copyright, Distribution as joint owner in the copyright CASI Meteorology and Climatology GSFC-E-DAA-TN20083 Biogeosciences; 11; 4; 1137-1154 2014 ftnasantrs 2019-07-21T00:18:08Z Sensitivities of the oceanic biological pump within the GISS (Goddard Institute for Space Studies ) climate modeling system are explored here. Results are presented from twin control simulations of the air-sea CO2 gas exchange using two different ocean models coupled to the same atmosphere. The two ocean models (Russell ocean model and Hybrid Coordinate Ocean Model, HYCOM) use different vertical coordinate systems, and therefore different representations of column physics. Both variants of the GISS climate model are coupled to the same ocean biogeochemistry module (the NASA Ocean Biogeochemistry Model, NOBM), which computes prognostic distributions for biotic and abiotic fields that influence the air-sea flux of CO2 and the deep ocean carbon transport and storage. In particular, the model differences due to remineralization rate changes are compared to differences attributed to physical processes modeled differently in the two ocean models such as ventilation, mixing, eddy stirring and vertical advection. GISSEH(GISSER) is found to underestimate mixed layer depth compared to observations by about 55% (10 %) in the Southern Ocean and overestimate it by about 17% (underestimate by 2%) in the northern high latitudes. Everywhere else in the global ocean, the two models underestimate the surface mixing by about 12-34 %, which prevents deep nutrients from reaching the surface and promoting primary production there. Consequently, carbon export is reduced because of reduced production at the surface. Furthermore, carbon export is particularly sensitive to remineralization rate changes in the frontal regions of the subtropical gyres and at the Equator and this sensitivity in the model is much higher than the sensitivity to physical processes such as vertical mixing, vertical advection and mesoscale eddy transport. At depth, GISSER, which has a significant warm bias, remineralizes nutrients and carbon faster thereby producing more nutrients and carbon at depth, which eventually resurfaces with the global thermohaline circulation especially in the Southern Ocean. Because of the reduced primary production and carbon export in GISSEH compared to GISSER, the biological pump efficiency, i.e., the ratio of primary production and carbon export at 75 m, is half in the GISSEH of that in GISSER, The Southern Ocean emerges as a key region where the CO2 flux is as sensitive to biological parameterizations as it is to physical parameterizations. The fidelity of ocean mixing in the Southern Ocean compared to observations is shown to be a good indicator of the magnitude of the biological pump efficiency regardless of physical model choice. Other/Unknown Material Southern Ocean NASA Technical Reports Server (NTRS) Southern Ocean
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic Meteorology and Climatology
spellingShingle Meteorology and Climatology
Romanski, J.
Romanou, A.
Gregg, W. W.
Natural Ocean Carbon Cycle Sensitivity to Parameterizations of the Recycling in a Climate Model
topic_facet Meteorology and Climatology
description Sensitivities of the oceanic biological pump within the GISS (Goddard Institute for Space Studies ) climate modeling system are explored here. Results are presented from twin control simulations of the air-sea CO2 gas exchange using two different ocean models coupled to the same atmosphere. The two ocean models (Russell ocean model and Hybrid Coordinate Ocean Model, HYCOM) use different vertical coordinate systems, and therefore different representations of column physics. Both variants of the GISS climate model are coupled to the same ocean biogeochemistry module (the NASA Ocean Biogeochemistry Model, NOBM), which computes prognostic distributions for biotic and abiotic fields that influence the air-sea flux of CO2 and the deep ocean carbon transport and storage. In particular, the model differences due to remineralization rate changes are compared to differences attributed to physical processes modeled differently in the two ocean models such as ventilation, mixing, eddy stirring and vertical advection. GISSEH(GISSER) is found to underestimate mixed layer depth compared to observations by about 55% (10 %) in the Southern Ocean and overestimate it by about 17% (underestimate by 2%) in the northern high latitudes. Everywhere else in the global ocean, the two models underestimate the surface mixing by about 12-34 %, which prevents deep nutrients from reaching the surface and promoting primary production there. Consequently, carbon export is reduced because of reduced production at the surface. Furthermore, carbon export is particularly sensitive to remineralization rate changes in the frontal regions of the subtropical gyres and at the Equator and this sensitivity in the model is much higher than the sensitivity to physical processes such as vertical mixing, vertical advection and mesoscale eddy transport. At depth, GISSER, which has a significant warm bias, remineralizes nutrients and carbon faster thereby producing more nutrients and carbon at depth, which eventually resurfaces with the global thermohaline circulation especially in the Southern Ocean. Because of the reduced primary production and carbon export in GISSEH compared to GISSER, the biological pump efficiency, i.e., the ratio of primary production and carbon export at 75 m, is half in the GISSEH of that in GISSER, The Southern Ocean emerges as a key region where the CO2 flux is as sensitive to biological parameterizations as it is to physical parameterizations. The fidelity of ocean mixing in the Southern Ocean compared to observations is shown to be a good indicator of the magnitude of the biological pump efficiency regardless of physical model choice.
format Other/Unknown Material
author Romanski, J.
Romanou, A.
Gregg, W. W.
author_facet Romanski, J.
Romanou, A.
Gregg, W. W.
author_sort Romanski, J.
title Natural Ocean Carbon Cycle Sensitivity to Parameterizations of the Recycling in a Climate Model
title_short Natural Ocean Carbon Cycle Sensitivity to Parameterizations of the Recycling in a Climate Model
title_full Natural Ocean Carbon Cycle Sensitivity to Parameterizations of the Recycling in a Climate Model
title_fullStr Natural Ocean Carbon Cycle Sensitivity to Parameterizations of the Recycling in a Climate Model
title_full_unstemmed Natural Ocean Carbon Cycle Sensitivity to Parameterizations of the Recycling in a Climate Model
title_sort natural ocean carbon cycle sensitivity to parameterizations of the recycling in a climate model
publishDate 2014
url http://hdl.handle.net/2060/20150002124
op_coverage Unclassified, Unlimited, Publicly available
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_source CASI
op_relation Document ID: 20150002124
http://hdl.handle.net/2060/20150002124
op_rights Copyright, Distribution as joint owner in the copyright
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