A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes
The northern terrestrial net ecosystem carbon balance (NECB) is contingent on inputs from vegetation gross primary productivity (GPP) to offset the ecosystem respiration (Reco) of carbon dioxide (CO2) and methane (CH4) emissions, but an effective framework to monitor the regional Arctic NECB is lack...
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ftunivmontana:oai:scholarworks.umt.edu:ntsg_pubs-1294 2024-09-09T19:23:58+00:00 A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes Watts, J. D. Kimball, John S Parmentier, F. J. W. Sachs, T. Rinne, J. Zona, D. Oechel, Walt Tagesson, T. Jackowicz-Korczynski, M. Aurela, M. 2014-04-01T07:00:00Z application/pdf https://scholarworks.umt.edu/ntsg_pubs/295 https://doi.org/10.5194/bg-11-1961-2014 https://scholarworks.umt.edu/context/ntsg_pubs/article/1294/viewcontent/Watts_BGC_2014.pdf unknown ScholarWorks at University of Montana https://scholarworks.umt.edu/ntsg_pubs/295 doi:10.5194/bg-11-1961-2014 https://scholarworks.umt.edu/context/ntsg_pubs/article/1294/viewcontent/Watts_BGC_2014.pdf © 2014 The Authors Numerical Terradynamic Simulation Group Publications text 2014 ftunivmontana https://doi.org/10.5194/bg-11-1961-2014 2024-06-20T05:32:53Z The northern terrestrial net ecosystem carbon balance (NECB) is contingent on inputs from vegetation gross primary productivity (GPP) to offset the ecosystem respiration (Reco) of carbon dioxide (CO2) and methane (CH4) emissions, but an effective framework to monitor the regional Arctic NECB is lacking. We modified a terrestrial carbon flux (TCF) model developed for satellite remote sensing applications to evaluate wetland CO2 and CH4 fluxes over pan-Arctic eddy covariance (EC) flux tower sites. The TCF model estimates GPP, CO2 and CH4 emissions using in situ or remote sensing and reanalysis-based climate data as inputs. The TCF model simulations using in situ data explained > 70% of the r2 variability in the 8 day cumulative EC measured fluxes. Model simulations using coarser satellite (MODIS) and reanalysis (MERRA) records accounted for approximately 69% and 75% of the respective r2 variability in the tower CO2 and CH4 records, with corresponding RMSE uncertainties of ≤ 1.3 g C m−2 d−1 (CO2) and 18.2 mg C m−2 d−1 (CH4). Although the estimated annual CH4 emissions were small (< 18 g C m−2 yr−1) relative to Reco (> 180 g C m−2 yr−1), they reduced the across-site NECB by 23% and contributed to a global warming potential of approximately 165 ± 128 g CO2eq m−2 yr−1 when considered over a 100 year time span. This model evaluation indicates a strong potential for using the TCF model approach to document landscape-scale variability in CO2 and CH4 fluxes, and to estimate the NECB for northern peatland and tundra ecosystems. Text Arctic Global warming Tundra University of Montana: ScholarWorks Arctic Merra ENVELOPE(12.615,12.615,65.816,65.816) Biogeosciences 11 7 1961 1980 |
institution |
Open Polar |
collection |
University of Montana: ScholarWorks |
op_collection_id |
ftunivmontana |
language |
unknown |
description |
The northern terrestrial net ecosystem carbon balance (NECB) is contingent on inputs from vegetation gross primary productivity (GPP) to offset the ecosystem respiration (Reco) of carbon dioxide (CO2) and methane (CH4) emissions, but an effective framework to monitor the regional Arctic NECB is lacking. We modified a terrestrial carbon flux (TCF) model developed for satellite remote sensing applications to evaluate wetland CO2 and CH4 fluxes over pan-Arctic eddy covariance (EC) flux tower sites. The TCF model estimates GPP, CO2 and CH4 emissions using in situ or remote sensing and reanalysis-based climate data as inputs. The TCF model simulations using in situ data explained > 70% of the r2 variability in the 8 day cumulative EC measured fluxes. Model simulations using coarser satellite (MODIS) and reanalysis (MERRA) records accounted for approximately 69% and 75% of the respective r2 variability in the tower CO2 and CH4 records, with corresponding RMSE uncertainties of ≤ 1.3 g C m−2 d−1 (CO2) and 18.2 mg C m−2 d−1 (CH4). Although the estimated annual CH4 emissions were small (< 18 g C m−2 yr−1) relative to Reco (> 180 g C m−2 yr−1), they reduced the across-site NECB by 23% and contributed to a global warming potential of approximately 165 ± 128 g CO2eq m−2 yr−1 when considered over a 100 year time span. This model evaluation indicates a strong potential for using the TCF model approach to document landscape-scale variability in CO2 and CH4 fluxes, and to estimate the NECB for northern peatland and tundra ecosystems. |
format |
Text |
author |
Watts, J. D. Kimball, John S Parmentier, F. J. W. Sachs, T. Rinne, J. Zona, D. Oechel, Walt Tagesson, T. Jackowicz-Korczynski, M. Aurela, M. |
spellingShingle |
Watts, J. D. Kimball, John S Parmentier, F. J. W. Sachs, T. Rinne, J. Zona, D. Oechel, Walt Tagesson, T. Jackowicz-Korczynski, M. Aurela, M. A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes |
author_facet |
Watts, J. D. Kimball, John S Parmentier, F. J. W. Sachs, T. Rinne, J. Zona, D. Oechel, Walt Tagesson, T. Jackowicz-Korczynski, M. Aurela, M. |
author_sort |
Watts, J. D. |
title |
A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes |
title_short |
A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes |
title_full |
A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes |
title_fullStr |
A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes |
title_full_unstemmed |
A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes |
title_sort |
satellite data driven biophysical modeling approach for estimating northern peatland and tundra co2 and ch4 fluxes |
publisher |
ScholarWorks at University of Montana |
publishDate |
2014 |
url |
https://scholarworks.umt.edu/ntsg_pubs/295 https://doi.org/10.5194/bg-11-1961-2014 https://scholarworks.umt.edu/context/ntsg_pubs/article/1294/viewcontent/Watts_BGC_2014.pdf |
long_lat |
ENVELOPE(12.615,12.615,65.816,65.816) |
geographic |
Arctic Merra |
geographic_facet |
Arctic Merra |
genre |
Arctic Global warming Tundra |
genre_facet |
Arctic Global warming Tundra |
op_source |
Numerical Terradynamic Simulation Group Publications |
op_relation |
https://scholarworks.umt.edu/ntsg_pubs/295 doi:10.5194/bg-11-1961-2014 https://scholarworks.umt.edu/context/ntsg_pubs/article/1294/viewcontent/Watts_BGC_2014.pdf |
op_rights |
© 2014 The Authors |
op_doi |
https://doi.org/10.5194/bg-11-1961-2014 |
container_title |
Biogeosciences |
container_volume |
11 |
container_issue |
7 |
container_start_page |
1961 |
op_container_end_page |
1980 |
_version_ |
1809893921131593728 |