Satellite-based prediction of pCO 2 in coastal waters of the eastern North Pacific
Continental margin carbon cycling is complex, highly variable over a range of space and time scales, and forced by multiple physical and biogeochemical drivers. Predictions of globally significant air-sea CO 2 fluxes in these regions have been extrapolated based on very sparse data sets. We present...
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todo:paper_00796611_v103_n_p1_Hales2023-10-03T14:54:27Z Satellite-based prediction of pCO 2 in coastal waters of the eastern North Pacific Hales, B. Strutton, P.G. Saraceno, M. Letelier, R. Takahashi, T. Feely, R. Sabine, C. Chavez, F. Air sea flux Atmospheric CO Carbon cycling Carbonate system Coastal waters Continental margin Correlation coefficient Dissolved carbon dioxide Eastern north pacific Empirical coefficients Empirical relationships Historical observation Input parameter Linear dependence North American Root mean squared Satellite data Sea surface temperature (SST) Semiempirical models Space and time Sparse data sets Study areas Sub-regions Wind speed measurement Alkalinity Biogeochemistry Carbonation Chlorophyll Forecasting Remote sensing Satellites Self organizing maps Surface waters Uncertainty analysis Carbon dioxide air-sea interaction alkalinity biogeochemistry carbon cycle carbon dioxide coastal zone continental margin remote sensing satellite data sea surface temperature surface water timescale uncertainty analysis wind velocity Pacific Ocean Pacific Ocean (North) Continental margin carbon cycling is complex, highly variable over a range of space and time scales, and forced by multiple physical and biogeochemical drivers. Predictions of globally significant air-sea CO 2 fluxes in these regions have been extrapolated based on very sparse data sets. We present here a method for predicting coastal surface-water pCO 2 from remote-sensing data, based on self organizing maps (SOMs) and a nonlinear semi-empirical model of surface water carbonate chemistry. The model used simple empirical relationships between carbonate chemistry (total dissolved carbon dioxide (TCO2) and alkalinity (T Alk )) and satellite data (sea surface temperature (SST) and chlorophyll (Chl)). Surface-water CO 2 partial pressure (pCO 2 ) was calculated from the empirically-predicted TCO2 and T Alk . This directly incorporated the inherent nonlinearities of the carbonate system, in a completely mechanistic manner. The model's empirical coefficients were determined for a target study area of the central North American Pacific continental margin (22-50°N, within 370km of the coastline), by optimally reproducing a set of historical observations paired with satellite data. The model-predicted pCO 2 agreed with the highly variable observations with a root mean squared (RMS) deviation of <20μatm, and with a correlation coefficient of >0.8 (r=0.81; r 2 =0.66). This level of accuracy is a significant improvement relative to that of simpler models that did not resolve the biogeochemical sub-regions or that relied on linear dependences on input parameters. Air-sea fluxes based on these pCO 2 predictions and satellite-based wind speed measurements suggest that the region is a ∼14TgCyr -1 sink for atmospheric CO 2 over the 1997-2005 period, with an approximately equivalent uncertainty, compared with a ∼0.5TgCyr -1 source predicted by a recent bin-averaging and interpolation-based estimate for the same area. © 2012 Elsevier Ltd. Fil:Saraceno, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00796611_v103_n_p1_Hales |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Air sea flux Atmospheric CO Carbon cycling Carbonate system Coastal waters Continental margin Correlation coefficient Dissolved carbon dioxide Eastern north pacific Empirical coefficients Empirical relationships Historical observation Input parameter Linear dependence North American Root mean squared Satellite data Sea surface temperature (SST) Semiempirical models Space and time Sparse data sets Study areas Sub-regions Wind speed measurement Alkalinity Biogeochemistry Carbonation Chlorophyll Forecasting Remote sensing Satellites Self organizing maps Surface waters Uncertainty analysis Carbon dioxide air-sea interaction alkalinity biogeochemistry carbon cycle carbon dioxide coastal zone continental margin remote sensing satellite data sea surface temperature surface water timescale uncertainty analysis wind velocity Pacific Ocean Pacific Ocean (North) |
spellingShingle |
Air sea flux Atmospheric CO Carbon cycling Carbonate system Coastal waters Continental margin Correlation coefficient Dissolved carbon dioxide Eastern north pacific Empirical coefficients Empirical relationships Historical observation Input parameter Linear dependence North American Root mean squared Satellite data Sea surface temperature (SST) Semiempirical models Space and time Sparse data sets Study areas Sub-regions Wind speed measurement Alkalinity Biogeochemistry Carbonation Chlorophyll Forecasting Remote sensing Satellites Self organizing maps Surface waters Uncertainty analysis Carbon dioxide air-sea interaction alkalinity biogeochemistry carbon cycle carbon dioxide coastal zone continental margin remote sensing satellite data sea surface temperature surface water timescale uncertainty analysis wind velocity Pacific Ocean Pacific Ocean (North) Hales, B. Strutton, P.G. Saraceno, M. Letelier, R. Takahashi, T. Feely, R. Sabine, C. Chavez, F. Satellite-based prediction of pCO 2 in coastal waters of the eastern North Pacific |
topic_facet |
Air sea flux Atmospheric CO Carbon cycling Carbonate system Coastal waters Continental margin Correlation coefficient Dissolved carbon dioxide Eastern north pacific Empirical coefficients Empirical relationships Historical observation Input parameter Linear dependence North American Root mean squared Satellite data Sea surface temperature (SST) Semiempirical models Space and time Sparse data sets Study areas Sub-regions Wind speed measurement Alkalinity Biogeochemistry Carbonation Chlorophyll Forecasting Remote sensing Satellites Self organizing maps Surface waters Uncertainty analysis Carbon dioxide air-sea interaction alkalinity biogeochemistry carbon cycle carbon dioxide coastal zone continental margin remote sensing satellite data sea surface temperature surface water timescale uncertainty analysis wind velocity Pacific Ocean Pacific Ocean (North) |
description |
Continental margin carbon cycling is complex, highly variable over a range of space and time scales, and forced by multiple physical and biogeochemical drivers. Predictions of globally significant air-sea CO 2 fluxes in these regions have been extrapolated based on very sparse data sets. We present here a method for predicting coastal surface-water pCO 2 from remote-sensing data, based on self organizing maps (SOMs) and a nonlinear semi-empirical model of surface water carbonate chemistry. The model used simple empirical relationships between carbonate chemistry (total dissolved carbon dioxide (TCO2) and alkalinity (T Alk )) and satellite data (sea surface temperature (SST) and chlorophyll (Chl)). Surface-water CO 2 partial pressure (pCO 2 ) was calculated from the empirically-predicted TCO2 and T Alk . This directly incorporated the inherent nonlinearities of the carbonate system, in a completely mechanistic manner. The model's empirical coefficients were determined for a target study area of the central North American Pacific continental margin (22-50°N, within 370km of the coastline), by optimally reproducing a set of historical observations paired with satellite data. The model-predicted pCO 2 agreed with the highly variable observations with a root mean squared (RMS) deviation of <20μatm, and with a correlation coefficient of >0.8 (r=0.81; r 2 =0.66). This level of accuracy is a significant improvement relative to that of simpler models that did not resolve the biogeochemical sub-regions or that relied on linear dependences on input parameters. Air-sea fluxes based on these pCO 2 predictions and satellite-based wind speed measurements suggest that the region is a ∼14TgCyr -1 sink for atmospheric CO 2 over the 1997-2005 period, with an approximately equivalent uncertainty, compared with a ∼0.5TgCyr -1 source predicted by a recent bin-averaging and interpolation-based estimate for the same area. © 2012 Elsevier Ltd. |
format |
JOUR |
author |
Hales, B. Strutton, P.G. Saraceno, M. Letelier, R. Takahashi, T. Feely, R. Sabine, C. Chavez, F. |
author_facet |
Hales, B. Strutton, P.G. Saraceno, M. Letelier, R. Takahashi, T. Feely, R. Sabine, C. Chavez, F. |
author_sort |
Hales, B. |
title |
Satellite-based prediction of pCO 2 in coastal waters of the eastern North Pacific |
title_short |
Satellite-based prediction of pCO 2 in coastal waters of the eastern North Pacific |
title_full |
Satellite-based prediction of pCO 2 in coastal waters of the eastern North Pacific |
title_fullStr |
Satellite-based prediction of pCO 2 in coastal waters of the eastern North Pacific |
title_full_unstemmed |
Satellite-based prediction of pCO 2 in coastal waters of the eastern North Pacific |
title_sort |
satellite-based prediction of pco 2 in coastal waters of the eastern north pacific |
url |
http://hdl.handle.net/20.500.12110/paper_00796611_v103_n_p1_Hales |
work_keys_str_mv |
AT halesb satellitebasedpredictionofpco2incoastalwatersoftheeasternnorthpacific AT struttonpg satellitebasedpredictionofpco2incoastalwatersoftheeasternnorthpacific AT saracenom satellitebasedpredictionofpco2incoastalwatersoftheeasternnorthpacific AT letelierr satellitebasedpredictionofpco2incoastalwatersoftheeasternnorthpacific AT takahashit satellitebasedpredictionofpco2incoastalwatersoftheeasternnorthpacific AT feelyr satellitebasedpredictionofpco2incoastalwatersoftheeasternnorthpacific AT sabinec satellitebasedpredictionofpco2incoastalwatersoftheeasternnorthpacific AT chavezf satellitebasedpredictionofpco2incoastalwatersoftheeasternnorthpacific |
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