Japan Geoscience Union Meeting 2019

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[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS03] Large-scale moisture and organized cloud systems

Tue. May 28, 2019 10:45 AM - 12:15 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Hiroaki Miura(The University of Tokyo), Atsushi Hamada(University of Toyama), Satoru Yokoi(Japan Agency for Marine-Earth Science and Technology), Masaki Satoh(Atmosphere and Ocean Research Institute, The University of Tokyo)

[AAS03-P13] Effects of different cloud overlapping parameters on simulated total cloud fraction over the globe and East Asian region

*bo hai Wang1, hua Zhang2 (1.Institute of Atmospheric Physics, Chinese Academy of Sciences, 2.State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences)

Keywords:Cloud overlapping parameter, Vertical decorrelation length, Total cloud fraction

The cloud overlapping parameter (vertical decorrelation length, Lcf) from CloudSat/CALIPSO is implemented in Beijing Climate Center’s GCM (BCC_AGCM2.0) to reduce the uncertainly in radiation field. Comparing the climate simulation results obtained by using the constant Lcf of 2 km with those using the above retrieved Lcf, it is found that the total cloud fraction simulation has been obviously improved by using the satellite-based Lcf. The error of global mean total cloud fraction between simulations and CERES (Clouds and the Earth's Radiant Energy System) satellite data is decreased by 1.6% in both the winter and summer, of which the positive deviation of total cloud amount at tropical convection area and the negative deviation in subtropical region both are significantly reduced. These improvements are helpful for better simulation of energy budget differences between different regions. In East Asia, using the satellite-based Lcf can decrease the error of average total cloud fraction (compared to the CERES) by 1.8% (1.4%) in the winter (summer).Overall, using Lcf from CloudSat/CALIPSO satellite data can improve the simulation of total cloud fraction and thus obtain more accurate simulation of radiation field.