The inherent uncertainties of input parameters in satellite may affect the inversion accuracy of the column-averaged dryair mole fractions of carbon dioxide (XCO2). Regarding the design specifications of the next-generation carbon satellite (Tansat-2), a sensitivity analysis is conducted on seven input parameters that may affect the XCO2 inversion. The paper employs the SCIATRAN model to retrieve XCO2 from short-wave infrared spectra with central the wavelengths at 0.76 μm and 1.61 μm. The results indicate that, considering the uncertainties in measuring these parameters, the parameters influencing XCO2 inversion are ranked in the following order: the pressure, oxygen, temperature, water vapor, surface elevation, surface albedo, and ozone. To achieve the XCO2 inversion accuracy within the range of 0.3%-0.5%, it is necessary to ensure the temperature uncertainty of approximately 0.4 K-0.8 K, the pressure uncertainty of approximately 0.2%-0.4%, the water vapor uncertainty of approximately 7%-14%, the oxygen uncertainty of approximately 0.25%- 0.5%, along with the surface albedo uncertainty of approximately 0.2-0.4, and the surface elevation uncertainty of approximately 22.5 m-45 m.
As a keystone instrument on the Fengyun-3C (FY-3C) satellite, the medium resolution spectral imager (MERSI) provides global coverage of top-of-atmosphere radiances for a broad range of scientific studies of the earth system. Based on the onboard measurements of the blackbody (BB) and deep space view (SV), the modified radiometric calibration equation was first given for the MERSI thermal emission band. The accuracy of the radiometric calibration was evaluated by comparing the average irradiance corresponding to the spectral response function and the irradiance corresponding to the wavelength, whose relative error was <0.40 % . Moreover, the BB-derived brightness temperature TR calculated by the BB irradiance shows a systematic error relative to the BB equivalent temperature TE obtained by the voltage code values of seven platinum resistors, and the value of TR was lower 0.25 K than that of TE. To further verify the validity of the calibration coefficient, the influences of the BB temperature, wavelength, and emissivity offsets on the derived irradiance and temperature of the earth were analyzed in detail. For the BB temperature changing by 0.10 K, the absolute values of the earth irradiance together with its equivalent temperature were 0.01 Wm − 2 sr − 1 μm − 1 and 0.10 K, respectively, whose relative errors were about 0.16% and 0.40%. When the BB wavelength and emissivity changing by 0.1 μm and 0.005, the variations of the earth irradiance were 0.02 and 0.04 Wm − 2 sr − 1 μm − 1, respectively, whereas the relative errors of the equivalent temperature were 0.07% and 0.11%. These works provided an important theoretical guidance for the satellite data assimilations along with the quantitative remote sensing applications.
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