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Evaluating the Online Simulations of Global Aerosol Distributions in the CAS-FGOALS Model
王浩
中国科学院大气物理研究所
We have implemented an exist aerosol module named Spectral Radiation Transport Model for Aerosol Species (SPRINTARS) online in the Chinese Academy of Sciences Flexible Global Ocean–Atmosphere–Land System (CAS-FGOALS) model and simulated the global aerosol cycles and optical properties over the period 2002-2011. Main aerosols in the troposphere including soil dust, sea salt, sulfate, organic and black carbon are treated in the model. For each aerosol species, our model can reasonably reproduce their life-cycle processes and aerosol optical depth (AOD), which are all within the ranges of the models participating in the AeroCom project. The simulated surface mass concentrations of each aerosol species can generally reproduce the observed spatial variability and magnitude. The simulated spatial-temporal distributions of the AODs are firstly evaluated with the Moderate Resolution Imaging Spectroradiometer (MODIS) retrievals, and the simulated AOD, ?ngstr?m Exponent (AE), and single scattering albedo (SSA) are further evaluated with the ground-based Aerosol Robotic Network (AERONET) measurements. The spatial distribution of the modeled AOD is found generally comparable to the MODIS retrievals. The inter-annual and seasonal variations of the modeled AOD over various aerosol regimes are also overall consistent with both the MODIS and AERONET observations. With respect to the AE, our model can reproduce the inter-annual variations fairly well over the dust dominant regions, and generally capture the seasonal variations over the industrial domain regions. However, the systematic underestimation of the simulated AE over the industrial domain regions is found, which is mainly due to the overestimation of the relative humidity (RH) by the host model facilitate the hygroscopic growth of the hydrophilic aerosols. With respect to the SSA, our model can also generally reproduce the observed seasonal variations, while the modeled values are typically lower than observations especially over the North Africa, indicating that the absorption capacity of dust aerosol is slight overestimated in our model.