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A European summertime CO2 biogenic flux inversion at mesoscale from continuous in situ mixing ratio measurements

Broquet, Gregoire; Chevallier, Frederic; Rayner, Peter; Aulagnier, Celine; Pison, Isabelle; Ramonet, Michel; Schmidt, Martina; Vermeulen, Alex LU and Ciais, Philippe (2011) In Journal of Geophysical Research: Atmospheres 116. p.1-22
Abstract
A regional variational inverse modeling system for the estimation of European biogenic CO2 fluxes is presented. This system is based on a 50 km horizontal resolution configuration of a mesoscale atmospheric transport model and on the adjoint of its tracer transport code. It exploits hourly CO2 in situ data from 15 CarboEurope-Integrated Project stations. Particular attention in the inversion setup is paid to characterizing the transport model error and to selecting the observations to be assimilated as a function of this error. Comparisons between simulations and data of CO2 and Rn-222 concentrations indicate that the model errors should have a standard deviation which is less than 7 ppm when simulating the hourly variability of CO2 at low... (More)
A regional variational inverse modeling system for the estimation of European biogenic CO2 fluxes is presented. This system is based on a 50 km horizontal resolution configuration of a mesoscale atmospheric transport model and on the adjoint of its tracer transport code. It exploits hourly CO2 in situ data from 15 CarboEurope-Integrated Project stations. Particular attention in the inversion setup is paid to characterizing the transport model error and to selecting the observations to be assimilated as a function of this error. Comparisons between simulations and data of CO2 and Rn-222 concentrations indicate that the model errors should have a standard deviation which is less than 7 ppm when simulating the hourly variability of CO2 at low altitude during the afternoon and evening or at high altitude at night. Synthetic data are used to estimate the uncertainty reduction for the fluxes using this inverse modeling system. The improvement brought by the inversion to the prior estimate of the fluxes for both the mean diurnal cycle and the monthly to synoptic variability in the fluxes and associated mixing ratios are checked against independent atmospheric data and eddy covariance flux measurements. Inverse modeling is conducted for summers 2002-2007 which should reduce the uncertainty in the biogenic fluxes by similar to 60% during this period. The trend in the mean flux corrections between June and September is to increase the uptake of CO2 by similar to 12 gCm(-2). Corrections at higher resolution are also diagnosed that reveal some limitations of the underlying prior model of the terrestrial biosphere. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Geophysical Research: Atmospheres
volume
116
pages
1 - 22
publisher
Wiley-Blackwell
external identifiers
  • wos:000297998100003
  • other:Article number D23303
  • scopus:83655190970
ISSN
2169-8996
DOI
10.1029/2011JD016202
language
English
LU publication?
no
id
cae61736-38b6-4eab-81c5-14c741c54693 (old id 4623790)
date added to LUP
2014-10-14 15:47:34
date last changed
2017-06-04 03:03:16
@article{cae61736-38b6-4eab-81c5-14c741c54693,
  abstract     = {A regional variational inverse modeling system for the estimation of European biogenic CO2 fluxes is presented. This system is based on a 50 km horizontal resolution configuration of a mesoscale atmospheric transport model and on the adjoint of its tracer transport code. It exploits hourly CO2 in situ data from 15 CarboEurope-Integrated Project stations. Particular attention in the inversion setup is paid to characterizing the transport model error and to selecting the observations to be assimilated as a function of this error. Comparisons between simulations and data of CO2 and Rn-222 concentrations indicate that the model errors should have a standard deviation which is less than 7 ppm when simulating the hourly variability of CO2 at low altitude during the afternoon and evening or at high altitude at night. Synthetic data are used to estimate the uncertainty reduction for the fluxes using this inverse modeling system. The improvement brought by the inversion to the prior estimate of the fluxes for both the mean diurnal cycle and the monthly to synoptic variability in the fluxes and associated mixing ratios are checked against independent atmospheric data and eddy covariance flux measurements. Inverse modeling is conducted for summers 2002-2007 which should reduce the uncertainty in the biogenic fluxes by similar to 60% during this period. The trend in the mean flux corrections between June and September is to increase the uptake of CO2 by similar to 12 gCm(-2). Corrections at higher resolution are also diagnosed that reveal some limitations of the underlying prior model of the terrestrial biosphere.},
  author       = {Broquet, Gregoire and Chevallier, Frederic and Rayner, Peter and Aulagnier, Celine and Pison, Isabelle and Ramonet, Michel and Schmidt, Martina and Vermeulen, Alex and Ciais, Philippe},
  issn         = {2169-8996},
  language     = {eng},
  pages        = {1--22},
  publisher    = {Wiley-Blackwell},
  series       = {Journal of Geophysical Research: Atmospheres},
  title        = {A European summertime CO2 biogenic flux inversion at mesoscale from continuous in situ mixing ratio measurements},
  url          = {http://dx.doi.org/10.1029/2011JD016202},
  volume       = {116},
  year         = {2011},
}