This study investigated the impact of different verification-area designs on the sensitive areas identified using the conditional nonlinear optimal perturbation (CNOP) method for tropical cyclone targeted observations.The sensitive areas identified using the first singular vector (FSV) method,which is the linear approximation of CNOP,were also investigated for comparison.By analyzing the validity of the sensitive areas,the proper design of a verification area was developed.Tropical cyclone Rananim,which occ...
【英文摘要】
This study investigated the impact of different verification-area designs on the sensitive areas identified using the conditional nonlinear optimal perturbation (CNOP) method for tropical cyclone targeted observations.The sensitive areas identified using the first singular vector (FSV) method,which is the linear approximation of CNOP,were also investigated for comparison.By analyzing the validity of the sensitive areas,the proper design of a verification area was developed.Tropical cyclone Rananim,which occ...
【基金】
supported by the National Natural Science Foundation of China (Grant No. 40830955);
the China Meteorological Administration (Grant No. GYHY200906009);
the National Basic Research Program of China (Grant Nos.2006CB403606,2007CB411800,and 2009CB421505)
【更新日期】
2011-09-28
【分类号】
P444
【正文快照】
1. IntroductionBased on predictability studies of tropical cyclones,it was realized that the forecasts of tropical cyclonetracks and intensity could be improved when accu-rate initial analyses were obtained (Riehl et al., 1956;Bender et al., 1993; Zhu and
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