摘要
利用WRF模式,以NCEP再分析资料作为背景场,并同化地面自动气象站观测资料,对发生在黄淮江淮流域的一次大气波导过程进行了数值模拟与对比分析,发现WRF中尺度数值模式可以反映出大气边界层内的逆温和湿度锐减并较好的模拟大气波导的变化,同化自动站资料比不同化模拟出的波导范围扩大、波导强度增强,与雷达回波的一致性更好。
WRF model is used to simulate the atmospheric duct process in the Yellow River, Huai River and Yangtze River drainage area and the initial field is obtained from NCEP reanalysis data. AWS data have been assimilated into the model to show the improvement for atmospheric duct monitoring. Based on the a- nalysis and comparison of the simulated results with radar echoes and radio observa- tions, we found that WRF is good for simulating the atmospheric duct and reflec- ting temperature and humidity profile features. The atmospheric duct region and in- tensity are increased, and have better consistency with radar echo because of AWS data assimilation.
出处
《电波科学学报》
EI
CSCD
北大核心
2010年第5期913-919,1019,共7页
Chinese Journal of Radio Science
基金
国家自然科学基金(40875016)
国家重点基础研究发展计划(973、2009CB421502)联合资助