LI Xiang, WANG Hui, ZHANG Zhanhai, WU Huiding. Simulation of arctic surface radiation and energy budget during the summertime using the single-column model[J]. Acta Oceanologica Sinica, 2008, (1): 1-12.
Citation:
LI Xiang, WANG Hui, ZHANG Zhanhai, WU Huiding. Simulation of arctic surface radiation and energy budget during the summertime using the single-column model[J]. Acta Oceanologica Sinica, 2008, (1): 1-12.
LI Xiang, WANG Hui, ZHANG Zhanhai, WU Huiding. Simulation of arctic surface radiation and energy budget during the summertime using the single-column model[J]. Acta Oceanologica Sinica, 2008, (1): 1-12.
Citation:
LI Xiang, WANG Hui, ZHANG Zhanhai, WU Huiding. Simulation of arctic surface radiation and energy budget during the summertime using the single-column model[J]. Acta Oceanologica Sinica, 2008, (1): 1-12.
Physical Oceanography Laboratory, Ocean University of China, Qingdao 266003, China;Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China
2.
Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China
3.
Key Laboratory for Polar Science of State Oceanic Administration, Polar Research Institute of China, State Oceanic Administration, Shanghai 200136, China
4.
Key Laboratory for Polar Science of State Oceanic Administration, Polar Research Institute of China, State Oceanic Administration, Shanghai 200136, China;National Marine Environmental Forecast Center, State Oceanic Administration, Beijing 100081, China
The surface heat budget of the Arctic Ocean (SHEBA) project has shown that the study of the surface heat budget characteristics is crucial to understanding the interface process and environmental change in the polar region. An arctic single-column model (ARCSCM) of Colorado University is used to simulate the arctic surface radiation and energy budget during the summertime. The simulation results are analyzed and compared with the SHEBA measurements. Sensitivity analyses are performed to test microphysical and radiative parameterizations in this model. The results show that the ARCSCM model is able to simulate the surface radiation and energy budget in the arctic during the summertime, and the different parameterizations have a significant influence on the results. The combination of cloud microphysics and RRTM parameterizations can fairly derive the surface solar shortwave radiation and downwelling longwave radiation flux. But this cloud microphysics parameterization scheme deviates notably from the simulation of surface sensible and latent heat flux. Further improvement for the parameterization scheme applied to the Arctic Regions is necessary.
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