Atmospheric CO2 inversions on the mesoscale using data-driven prior uncertainties : quantification of the European terrestrial CO2 fluxes
(2018) In Atmospheric Chemistry and Physics 18(4). p.3047-3064- Abstract
- Optimized biogenic carbon fluxes for Europe wereestimated from high-resolution regional-scale inversions, uti-lizing atmospheric CO2measurements at 16 stations for theyear 2007. Additional sensitivity tests with different data-driven error structures were performed. As the atmosphericnetwork is rather sparse and consequently contains large spa-tial gaps, we use a priori biospheric fluxes to further constrainthe inversions. The biospheric fluxes were simulated by theVegetation Photosynthesis and Respiration Model (VPRM)at a resolution of 0.1◦and optimized against eddy covari-ance data. Overall we estimate an a priori uncertainty of0.54 GtC yr−1related to the poor spatial representation be-tween the biospheric model... (More)
- Optimized biogenic carbon fluxes for Europe wereestimated from high-resolution regional-scale inversions, uti-lizing atmospheric CO2measurements at 16 stations for theyear 2007. Additional sensitivity tests with different data-driven error structures were performed. As the atmosphericnetwork is rather sparse and consequently contains large spa-tial gaps, we use a priori biospheric fluxes to further constrainthe inversions. The biospheric fluxes were simulated by theVegetation Photosynthesis and Respiration Model (VPRM)at a resolution of 0.1◦and optimized against eddy covari-ance data. Overall we estimate an a priori uncertainty of0.54 GtC yr−1related to the poor spatial representation be-tween the biospheric model and the ecosystem sites. The sinkestimated from the atmospheric inversions for the area of Eu-rope (as represented in the model domain) ranges between0.23 and 0.38 GtC yr−1(0.39 and 0.71 GtC yr−1up-scaled togeographical Europe). This is within the range of posteriorflux uncertainty estimates of previous studies using ground-based observations. (Less)
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https://lup.lub.lu.se/record/88838426-7d1e-46c9-9b67-27f339246939
- author
- Kountouris, Panagiotis ; Gerbig, Christoph ; Rödenbeck, Christian ; Karstens, Ute LU ; Koch, Thomas F. and Heimann, Martin
- organization
- publishing date
- 2018-03-02
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Atmospheric Chemistry and Physics
- volume
- 18
- issue
- 4
- pages
- 18 pages
- publisher
- Copernicus GmbH
- external identifiers
-
- scopus:85042846268
- ISSN
- 1680-7324
- DOI
- 10.5194/acp-18-3047-2018
- language
- English
- LU publication?
- no
- id
- 88838426-7d1e-46c9-9b67-27f339246939
- date added to LUP
- 2019-06-05 09:23:49
- date last changed
- 2022-04-26 01:19:19
@article{88838426-7d1e-46c9-9b67-27f339246939, abstract = {{Optimized biogenic carbon fluxes for Europe wereestimated from high-resolution regional-scale inversions, uti-lizing atmospheric CO2measurements at 16 stations for theyear 2007. Additional sensitivity tests with different data-driven error structures were performed. As the atmosphericnetwork is rather sparse and consequently contains large spa-tial gaps, we use a priori biospheric fluxes to further constrainthe inversions. The biospheric fluxes were simulated by theVegetation Photosynthesis and Respiration Model (VPRM)at a resolution of 0.1◦and optimized against eddy covari-ance data. Overall we estimate an a priori uncertainty of0.54 GtC yr−1related to the poor spatial representation be-tween the biospheric model and the ecosystem sites. The sinkestimated from the atmospheric inversions for the area of Eu-rope (as represented in the model domain) ranges between0.23 and 0.38 GtC yr−1(0.39 and 0.71 GtC yr−1up-scaled togeographical Europe). This is within the range of posteriorflux uncertainty estimates of previous studies using ground-based observations.}}, author = {{Kountouris, Panagiotis and Gerbig, Christoph and Rödenbeck, Christian and Karstens, Ute and Koch, Thomas F. and Heimann, Martin}}, issn = {{1680-7324}}, language = {{eng}}, month = {{03}}, number = {{4}}, pages = {{3047--3064}}, publisher = {{Copernicus GmbH}}, series = {{Atmospheric Chemistry and Physics}}, title = {{Atmospheric CO<sub>2</sub> inversions on the mesoscale using data-driven prior uncertainties : quantification of the European terrestrial CO<sub>2</sub> fluxes}}, url = {{http://dx.doi.org/10.5194/acp-18-3047-2018}}, doi = {{10.5194/acp-18-3047-2018}}, volume = {{18}}, year = {{2018}}, }