Study of the Regional Carbon Fluxes Through Inverse Modeling of the Siberian Atmospheric CO2 Observations
Abstract
We report overview of the Siberian atmospheric CO2 observational data analysis using inverse models of atmospheric transport and transformation. In our analysis we apply inverse modeling approaches at time scales varying from multiyear average concentrations and fluxes to monthly and daily time scales. The observational data include CO2 observations on regional tower network, and airborne air sampling at 4 sites. When annual average data is used the data appear to correct the global distribution of the annual mean fluxes toward more terrestrial sink in Siberia. At seasonal time scale, the observations at a regional network of 6 stations and 3 air profiles appear to constrain effectively the fluxes for West Siberia (divided in to 2 large regions) and suggest reasonable correction of the terrestrial CO2 flux seasonality towards earlier summer drawdown and stronger amplitude as compared with prior flux model. The result demonstrates that inverse model fluxes can be used as a mean to evaluate the model simulation of the CO2 flux seasonality over a large region. Inverse model analysis of the West Siberian fluxes at daily time resolution and grid cell-sized regions were also conducted, revealing that the actual observation footprint of the atmospheric observations at short time scale is limited to area within the tower network, confirming the need for dense observation network when addressing the problems of the regional scale carbon cycle analysis.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2007
- Bibcode:
- 2007AGUFMGC22A..02M
- Keywords:
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- 0315 Biosphere/atmosphere interactions (0426;
- 1610);
- 0322 Constituent sources and sinks;
- 0368 Troposphere: constituent transport and chemistry