GOSAT観測とその総リトリーバル誤差が領域毎の二酸化炭素収支量推定に及ぼす影響の評価

概要

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We studied the impact of the planned atmospheric CO2 observations by GOSAT (Greenhouse gases Observing SATellite) on the inverse model estimate of monthly and annual mean regional CO2 fluxes, using the inverse models of the CO2 fluxes for 22 large regions of a globe. The inverse model of the atmospheric transport uses monthly and annual means of simulated GOSAT CO2 observation data, which were aggregated to grid cells with the size of 7.5°×7.5° (horizontal), and surface-station observations as formulated in Transcom-3 inverse modelling inter-comparison. The observation frequency of GOSAT in our analysis was corrected for simulated probability of clear-sky conditions, assuming global mean clear sky probability of 11%. Our results demonstrate that the mean regional flux uncertainty can be reduced by about 50% by adding satellite observations with single shot precision of 5ppm and randomly-distributed retrieval bias of 0.5ppm.
社団法人　日本リモートセンシング学会の論文
2008-04-30