Estimation of global fluxes of CO2 for 2009–2010 using ground-station and space-borne (GOSAT) observation data with empirical orthogonal functions
R.V. Zhuravlev1, A.V. Gan’shin1, Sh.Sh. Maksyutov2, S.L. Ochshepkov2, B.V. Khattatov3
1Central Aerological Observatory,
3, Pervomayskaya str., Dolgoprudny, Moscow region, 141700, Russia
ruslan.zhuravlev@gmail.com
2National Institute for Environmental Studies,
16-2 Onogawa, Tsukuba, Ibaraki, 305-8506, Japan
shamil@nies.go.jp
3Fusion Numerics International LLC,
373 Arapahoe Ave, Boulder, CO, USA, 80302
boris@fusionumerics.com
Keywords: greenhouse gases, atmosphere, modeling of admixtures transport, inverse problems
Abstract
Inverse problem of atmospheric transport has been applied to estimate surface fluxes of CO2 for 2009–2010 using station and space-borne (GOSAT) observation data. Flux adjustments for each kind of sources are represented as a linear combination of main flux components according to surface gas exchange. For atmospheric transport simulation we used coupled Eulerian-Lagrangian model (GELCA model). Due to a huge amount of observation data per month (3000–5000) we used Fix-Lag Kalman Smoother for solving inverse problem that allows us to estimate monthly fluxes successively according to the chosen assimilation window. Results were presented as 2D fields of monthly surface fluxes for each kind of sources. Our calculations show the significant uncertainty reduction of fluxes in case of including GOSAT observations.
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