A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes
(2014) In Biogeosciences 11(7). p.1961-1980- Abstract
- The northern terrestrial net ecosystem carbon balance (NECB) is contingent on inputs from vegetation gross primary productivity (GPP) to offset the ecosystem respiration (R-eco) 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 r(2) variability in the 8 day cumulative EC... (More)
- The northern terrestrial net ecosystem carbon balance (NECB) is contingent on inputs from vegetation gross primary productivity (GPP) to offset the ecosystem respiration (R-eco) 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 r(2) 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 r(2) variability in the tower CO2 and CH4 records, with corresponding RMSE uncertainties of <= 1.3 gCm(-2) d(-1) (CO2) and 18.2 mg Cm-2 d(-1) (CH4). Although the estimated annual CH4 emissions were small (<18 gCm(-2) yr(-1)) relative to R-eco (>180 gCm(-2) yr(-1)), they reduced the across-site NECB by 23% and contributed to a global warming potential of approximately 165 +/- 128 gCO(2)eqm(-2) yr(-1) when considered over a 100 year time span. This model evaluation indi-cates 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4496091
- author
- Watts, J. D. ; Kimball, J. S. ; Parmentier, Frans-Jan LU ; Sachs, T. ; Rinne, J. ; Zona, D. ; Oechel, W. ; Tagesson, T. LU ; Jackowicz-Korczynski, Marcin LU and Aurela, M.
- organization
- publishing date
- 2014
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Biogeosciences
- volume
- 11
- issue
- 7
- pages
- 1961 - 1980
- publisher
- Copernicus GmbH
- external identifiers
-
- wos:000334609000019
- scopus:84898035612
- ISSN
- 1726-4189
- DOI
- 10.5194/bg-11-1961-2014
- language
- English
- LU publication?
- yes
- id
- c461836d-e6fd-4ce5-a314-93c3f87cf6f4 (old id 4496091)
- date added to LUP
- 2016-04-01 10:01:03
- date last changed
- 2022-03-12 01:20:45
@article{c461836d-e6fd-4ce5-a314-93c3f87cf6f4, abstract = {{The northern terrestrial net ecosystem carbon balance (NECB) is contingent on inputs from vegetation gross primary productivity (GPP) to offset the ecosystem respiration (R-eco) 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 r(2) 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 r(2) variability in the tower CO2 and CH4 records, with corresponding RMSE uncertainties of <= 1.3 gCm(-2) d(-1) (CO2) and 18.2 mg Cm-2 d(-1) (CH4). Although the estimated annual CH4 emissions were small (<18 gCm(-2) yr(-1)) relative to R-eco (>180 gCm(-2) yr(-1)), they reduced the across-site NECB by 23% and contributed to a global warming potential of approximately 165 +/- 128 gCO(2)eqm(-2) yr(-1) when considered over a 100 year time span. This model evaluation indi-cates 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.}}, author = {{Watts, J. D. and Kimball, J. S. and Parmentier, Frans-Jan and Sachs, T. and Rinne, J. and Zona, D. and Oechel, W. and Tagesson, T. and Jackowicz-Korczynski, Marcin and Aurela, M.}}, issn = {{1726-4189}}, language = {{eng}}, number = {{7}}, pages = {{1961--1980}}, publisher = {{Copernicus GmbH}}, series = {{Biogeosciences}}, title = {{A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes}}, url = {{http://dx.doi.org/10.5194/bg-11-1961-2014}}, doi = {{10.5194/bg-11-1961-2014}}, volume = {{11}}, year = {{2014}}, }