Quantitative analysis of the differences among the CO2 concentrations retrieved from different satellites is important for understanding possibility of combining different satellites for observing the spatio-temporal variations in global atmospheric CO2 concentration. In this study, we investigated the differences among the atmospheric CO2 concentrations derived from SCIAMACHY, GOSAT, and OCO-2 by comparing with CO2 simulations from CarbonTracker. Firstly, the sensitivities of the three satellites to CO2 concentrations were quantified by adjusting the measurements based on the CO2 profiles from CarbonTracker. Secondly, the spatio-temporal patterns of XCO2 retrievals from the three satellites were further compared. The results show that SCIAMACHY shows averaged biases of (-0.25 ±0.15)×10-6 and (-0.38 ±0.25)×10-6 at high and low latitude regions, respectively, which are significantly larger than those showed by the other two satellites. Moreover, we found that, after removing these differences, the observations from the three satellites demonstrate similar seasonal and annual variations as well as similar spatial patterns. These results show that model simulations can be utilized to remove or reduce the differences among the XCO2 retrievals from different satellites.
WU Changjiang
,
LEI Liping
,
ZENG Zhaocheng
. Spatio-temporal analysis of differences among atmospheric CO2 concentrations retrieved from different satellite observations[J]. Journal of University of Chinese Academy of Sciences, 2019
, 36(3)
: 331
-337
.
DOI: 10.7523/j.issn.2095-6134.2019.03.006
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