Algorithm for retrieving surface pressure from hyper-spectral measurements in oxygen A-band

An algorithm for retrieving the surface pressure from oxygen A-band measurements in the future Chinese CO2satellite(CarbonSpec/TanSat)was developed.The ful physical radiative transfer model,vector radiative transfe model based on successive order of scattering,which i based on the successive order of scattering approach,wa used to simulate the measurements of CarbonSpec/TanSat as well as the kernel matrix in the inversion algorithm,and then the surface pressure and other related atmospheric parameters such as aerosol optical depth(AOD),surface albedo,and temperature were derived through optima estimation theory.Sensitivities of the algorithm to surface albedo,solar zenith angle(SZA),viewing zenith angle(VZA),aerosol type,and AOD were investigated,and the results showed that the absolute error of retrieved surface pressure increases with decreasing surface albedo o increasing SZA and VZA.An accuracy of\4 hPa ove bright surfaces(surface albedo C0.15)could be derived fo various SZAs and viewing geometries.Moreover,the algorithm can simultaneously retrieve the surface albedo AOD,and its vertical distribution indicated by scale

An algorithm for retrieving the surface pressure from oxygen A-band measurements in the future Chinese CO2 satellite （CarbonSpec/TanSat） was developed. The full physical radiative transfer model, vector radiative transfer model based on successive order of scattering, which is based on the successive order of scattering approach, was used to simulate the measurements of CarbonSpec/TanSat, as well as the kernel matrix in the inversion algorithm, and then the surface pressure and other related atmospheric parameters such as aerosol optical depth （AOD）, surface albedo, and temperature were derived through optimal estimation theory. Sensitivities of the algorithm to surface albedo, solar zenith angle （SZA）, viewing zenith angle （VZA）, aerosol type, and AOD were investigated, and the results showed that the absolute error of retrieved surface pressure increases with decreasing surface albedo or increasing SZA and VZA. An accuracy of 〈4 hPa over bright surfaces （surface albedo 〉0.15） could be derived for various SZAs and viewing geometries. Moreover, the algorithm can simultaneously retrieve the surface albedo, AOD, and its vertical distribution indicated by scale height.