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Atmospheric constraints on gross primary productivity and net ecosystem productivity : results from a carbon-cycle data assimilation system

Koffi, E. N.; Rayner, P. J.; Scholze, Marko LU and Beer, C. (2012) In Global Biogeochemical Cycles 26(1). p.1-15
Abstract
This paper combines an atmospheric transport model and a terrestrial ecosystem model to estimate gross primary productivity (GPP) and net ecosystem productivity (NEP) of the land biosphere. Using atmospheric CO2 observations in a Carbon Cycle Data Assimilation System (CCDAS) we estimate a terrestrial global GPP of 146 +/- 19 GtC/yr. However, the current observing network cannot distinguish this best estimate from a different assimilation experiment yielding a terrestrial global GPP of 117 GtC/yr. Spatial estimates of GPP agree with data-driven estimates in the extratropics but are overestimated in the poorly observed tropics. The uncertainty analysis of previous studies was extended by using two atmospheric transport models and different... (More)
This paper combines an atmospheric transport model and a terrestrial ecosystem model to estimate gross primary productivity (GPP) and net ecosystem productivity (NEP) of the land biosphere. Using atmospheric CO2 observations in a Carbon Cycle Data Assimilation System (CCDAS) we estimate a terrestrial global GPP of 146 +/- 19 GtC/yr. However, the current observing network cannot distinguish this best estimate from a different assimilation experiment yielding a terrestrial global GPP of 117 GtC/yr. Spatial estimates of GPP agree with data-driven estimates in the extratropics but are overestimated in the poorly observed tropics. The uncertainty analysis of previous studies was extended by using two atmospheric transport models and different CO2 observing networks. We find that estimates of GPP and NEP are less sensitive to these choices than the form of the prior probability for model parameters. NEP is also found to be significantly sensitive to the transport model and this sensitivity is not greatly reduced compared to direct atmospheric transport inversions, which optimize NEP directly. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
in
Global Biogeochemical Cycles
volume
26
issue
1
pages
1 - 15
publisher
American Geophysical Union
external identifiers
  • wos:000301669600001
  • other:GB1024
  • scopus:84858761182
ISSN
0886-6236
DOI
10.1029/2010GB003900
language
English
LU publication?
no
id
b43f1c53-c2fd-4d3b-bc3b-af4df1677606 (old id 4637515)
date added to LUP
2014-09-11 15:50:42
date last changed
2017-07-23 04:08:03
@article{b43f1c53-c2fd-4d3b-bc3b-af4df1677606,
  abstract     = {This paper combines an atmospheric transport model and a terrestrial ecosystem model to estimate gross primary productivity (GPP) and net ecosystem productivity (NEP) of the land biosphere. Using atmospheric CO2 observations in a Carbon Cycle Data Assimilation System (CCDAS) we estimate a terrestrial global GPP of 146 +/- 19 GtC/yr. However, the current observing network cannot distinguish this best estimate from a different assimilation experiment yielding a terrestrial global GPP of 117 GtC/yr. Spatial estimates of GPP agree with data-driven estimates in the extratropics but are overestimated in the poorly observed tropics. The uncertainty analysis of previous studies was extended by using two atmospheric transport models and different CO2 observing networks. We find that estimates of GPP and NEP are less sensitive to these choices than the form of the prior probability for model parameters. NEP is also found to be significantly sensitive to the transport model and this sensitivity is not greatly reduced compared to direct atmospheric transport inversions, which optimize NEP directly.},
  author       = {Koffi, E. N. and Rayner, P. J. and Scholze, Marko and Beer, C.},
  issn         = {0886-6236},
  language     = {eng},
  number       = {1},
  pages        = {1--15},
  publisher    = {American Geophysical Union},
  series       = {Global Biogeochemical Cycles},
  title        = {Atmospheric constraints on gross primary productivity and net ecosystem productivity : results from a carbon-cycle data assimilation system},
  url          = {http://dx.doi.org/10.1029/2010GB003900},
  volume       = {26},
  year         = {2012},
}