Abstract
Due to the complexity and heterogeneity mechanism of aerosol scattering and absorption, there is no systematic operational net surface shortwave radiation (NSSR) retrieval algorithm for considering the forces of different aerosols. This study is to estimate NSSR under dust aerosol conditions. A parameterized model is proposed to quantify the net shortwave radiative forcing (ASRF) of aerosol. Considering the particularity of dust aerosol on shortwave radiation and its mechanisms, aerosol optical properties and atmospheric water vapor content (WVC) are used to quantify the ASRF, and the previous Tang’s parameterization model for estimating NSSR is refined to estimate NSSR under dust aerosol conditions. On this basis, a more accurate radiative transfer model MODTRAN 5 is primitively utilized to simulate and fit the complex relationship. Moreover, the coefficients for parameterization are recalculated by an improved algorithm under diverse types of aerosols. Finally, the NSSR measurements in the study areas and the NSSR products from the MODIS satellites are utilized to verify the retrieved NSSR. The root-mean-square error (RMSE) is below 11 W/m2 under various land cover types and the research findings can significantly increase the estimation accuracy of NSSR around 40 W/m2 under dust aerosol conditions.
Highlights
Surface shortwave radiation is an important physical quantity in the simulation of global, regional climate, hydrology and land surface processes, and its high-precision remote sensing retrieval is of great practical significance for global and regional climate change, energy balance, ecological environment, atmospheric cycle exploration and other fields [1]
CONSTRUCTION OF net surface shortwave radiation (NSSR) RETRIEVAL MODEL UNDER AEROSOL CONDITIONS On the basis of the schema for aerosol radiative forcing (ASRF) estimation, the simulated datasets generated by MODTRAN 5 will be divided into two groups: the first group is the datasets of NSSR influenced by dust aerosol, and the other group is the datasets of NSSR generated in the absence of certain type aerosol
We produced a model containing an ASRF correction quantified by a function of Aerosol Optical Depth (AOD) and water vapor content (WVC), which can weaken the direct and indirect effects of aerosol interacted with radiation
Summary
Surface shortwave radiation is an important physical quantity in the simulation of global, regional climate, hydrology and land surface processes, and its high-precision remote sensing retrieval is of great practical significance for global and regional climate change, energy balance, ecological environment, atmospheric cycle exploration and other fields [1]. The precision cannot be guaranteed under the presence of clouds or strong aerosols conditions, especially the dust aerosols, the accuracy is affected by the aerosols and clouds through complicated scattering and absorption mechanisms interacted with shortwave radiation [6], [7]. Considering the complicated atmosphere condition to increase the retrieval accuracy of the algorithm is imperatively required
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