Joint retrieval of surface reflectance and aerosol optical depth from MSG/SEVIRI observations with an optimal estimation approach: 1. Theory

摘要: [1] An original method is presented in this paper for the joint retrieval of mean daily total column aerosol optical depth and surface BRF from accumulated Meteosat Second Generation–Spinning Enhanced Visible Infrared Imager (MSG/SEVIRI) observations inthe solar channels. The proposedalgorithm basedon optimalestimation (OE) theory, a one-dimensional variational scheme that seeks an optimal balance between information can be derived observations, one prior knowledge system. forward radiative transfer model explicitly accounts anisotropy its coupling with atmosphere. low rate change reflectance used to derive on state variables. reliable estimation measurement system error most critical aspects OE as it strongly determines likelihood solution. important effort proposed has thus been dedicated issue, where actual radiometric performances SEVIRI are dynamically taken into account.