Difference of XCO2 from GOSAT and SCIAMACHY on the average in the five continents (unit: ppmv).Eurasian continentAfrican continentThe north American continentMainland South AmericaOceania mainlandGOSAT373.289375.972374.114377.729378.2SCIAMACHY384.752387.246383.22385.01385.061Difference11.46311.2749.1067.2816.861Full-size tableTable optionsView in workspaceDownload as CSV
5. Conclusions and discussion
The carbon satellites are providing valuable data to improve global models of the carbon ML324 and to make more accurate predictions of global climate change. Measurements by the carbon satellites allow scientists to monitor the geographic distribution of CO2 sources and to map the natural and human emissions. It becomes possible to simulate interaction mechanisms between cleaner production, the carbon cycle and climate change.
A simulation system for XCO2 surfaces is being developed on the basis of HASM (simply termed as HASM system), which takes satellite remote sensing data as its driving field and ground observation data as its optimum control constraints. The XCO2 surfaces from satellite remote sensing are difficult to be directly used as the driving fields because of a large number of voids caused by clouds, aerosols and the high surface albedo. It is necessary to conduct void filling for constructing the HASM system.