Modelling and data analysis for the quantification of forest clearance signals in pollen records

We present a method for testing the performance of global ocean carbon cycle models using measurements of atmospheric O 2 and CO 2 concentration. We combine these measurements to define a tracer, atmospheric potential oxygen (APO ≈ O 2 + CO 2 ), which is conservative with respect to terrestrial phot...

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Main Authors: Sugita, S., Andersen, S., Gaillard, M., Mateus, J., Odgaard, B., Prentice, I., Vorren, K.
Format: Article in Journal/Newspaper
Language:unknown
Published: 1998
Subjects:
Online Access:http://hdl.handle.net/11858/00-001M-0000-000E-E156-4
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spelling ftpubman:oai:pure.mpg.de:item_1694370 2023-08-27T04:05:40+02:00 Modelling and data analysis for the quantification of forest clearance signals in pollen records Sugita, S. Andersen, S. Gaillard, M. Mateus, J. Odgaard, B. Prentice, I. Vorren, K. 1998 http://hdl.handle.net/11858/00-001M-0000-000E-E156-4 unknown http://hdl.handle.net/11858/00-001M-0000-000E-E156-4 Paläoklimaforschung info:eu-repo/semantics/article 1998 ftpubman 2023-08-02T01:02:34Z We present a method for testing the performance of global ocean carbon cycle models using measurements of atmospheric O 2 and CO 2 concentration. We combine these measurements to define a tracer, atmospheric potential oxygen (APO ≈ O 2 + CO 2 ), which is conservative with respect to terrestrial photosynthesis and respiration. We then compare observations of APO to the simulations of an atmospheric transport model which uses ocean-model air-sea fluxes and fossil fuel combustion estimates as lower boundary conditions. We present observations of the annual-average concentrations of CO 2 , O 2 , and APO at 10 stations in a north-south transect. The observations of APO show a significant interhemispheric gradient decreasing towards the north. We use air-sea CO 2 , O 2 , and N 2 fluxes from the Princeton ocean biogeochemistry model, the Hamburg model of the ocean carbon cycle, and the Lawrence Livermore ocean biogeochemistry model to drive the TM2 atmospheric transport model. The latitudinal variations in annual-average APO predicted by the combined models are distinctly different from the observations. All three models significantly underestimate the interhemispheric difference in APO, suggesting that they underestimate the net southward transport of the sum of O 2 and CO 2 in the oceans. Uncertainties in the model-observation comparisons include uncertainties associated with the atmospheric measurements, the atmospheric transport model, and the physical and biological components of the ocean models. Potential deficiencies in the physical components of the ocean models, which have previously been suggested as causes for anomalously large heat fluxes out of the Southern Ocean, may contribute to the discrepancies with the APO observations. These deficiencies include the inadequate parameterization of subgrid-scale isopycnal eddy mixing, a lack of subgrid-scale vertical convection, too much Antarctic sea-ice formation, and an overestimation of vertical diffusivities in the main thermocline. Article in Journal/Newspaper Antarc* Antarctic Sea ice Southern Ocean Max Planck Society: MPG.PuRe Antarctic Southern Ocean
institution Open Polar
collection Max Planck Society: MPG.PuRe
op_collection_id ftpubman
language unknown
description We present a method for testing the performance of global ocean carbon cycle models using measurements of atmospheric O 2 and CO 2 concentration. We combine these measurements to define a tracer, atmospheric potential oxygen (APO ≈ O 2 + CO 2 ), which is conservative with respect to terrestrial photosynthesis and respiration. We then compare observations of APO to the simulations of an atmospheric transport model which uses ocean-model air-sea fluxes and fossil fuel combustion estimates as lower boundary conditions. We present observations of the annual-average concentrations of CO 2 , O 2 , and APO at 10 stations in a north-south transect. The observations of APO show a significant interhemispheric gradient decreasing towards the north. We use air-sea CO 2 , O 2 , and N 2 fluxes from the Princeton ocean biogeochemistry model, the Hamburg model of the ocean carbon cycle, and the Lawrence Livermore ocean biogeochemistry model to drive the TM2 atmospheric transport model. The latitudinal variations in annual-average APO predicted by the combined models are distinctly different from the observations. All three models significantly underestimate the interhemispheric difference in APO, suggesting that they underestimate the net southward transport of the sum of O 2 and CO 2 in the oceans. Uncertainties in the model-observation comparisons include uncertainties associated with the atmospheric measurements, the atmospheric transport model, and the physical and biological components of the ocean models. Potential deficiencies in the physical components of the ocean models, which have previously been suggested as causes for anomalously large heat fluxes out of the Southern Ocean, may contribute to the discrepancies with the APO observations. These deficiencies include the inadequate parameterization of subgrid-scale isopycnal eddy mixing, a lack of subgrid-scale vertical convection, too much Antarctic sea-ice formation, and an overestimation of vertical diffusivities in the main thermocline.
format Article in Journal/Newspaper
author Sugita, S.
Andersen, S.
Gaillard, M.
Mateus, J.
Odgaard, B.
Prentice, I.
Vorren, K.
spellingShingle Sugita, S.
Andersen, S.
Gaillard, M.
Mateus, J.
Odgaard, B.
Prentice, I.
Vorren, K.
Modelling and data analysis for the quantification of forest clearance signals in pollen records
author_facet Sugita, S.
Andersen, S.
Gaillard, M.
Mateus, J.
Odgaard, B.
Prentice, I.
Vorren, K.
author_sort Sugita, S.
title Modelling and data analysis for the quantification of forest clearance signals in pollen records
title_short Modelling and data analysis for the quantification of forest clearance signals in pollen records
title_full Modelling and data analysis for the quantification of forest clearance signals in pollen records
title_fullStr Modelling and data analysis for the quantification of forest clearance signals in pollen records
title_full_unstemmed Modelling and data analysis for the quantification of forest clearance signals in pollen records
title_sort modelling and data analysis for the quantification of forest clearance signals in pollen records
publishDate 1998
url http://hdl.handle.net/11858/00-001M-0000-000E-E156-4
geographic Antarctic
Southern Ocean
geographic_facet Antarctic
Southern Ocean
genre Antarc*
Antarctic
Sea ice
Southern Ocean
genre_facet Antarc*
Antarctic
Sea ice
Southern Ocean
op_source Paläoklimaforschung
op_relation http://hdl.handle.net/11858/00-001M-0000-000E-E156-4
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