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...

Full description

Bibliographic Details
Published in:Biogeosciences
Main Authors: 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.
Format: Text
Language:unknown
Published: ScholarWorks at University of Montana 2014
Subjects:
Online Access: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
id ftunivmontana:oai:scholarworks.umt.edu:ntsg_pubs-1294
record_format openpolar
spelling 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