摘要
通过分析5年(2004—2008年)NCEP的1°×1°再分析气象资料,结合2004—2008年的台站观测资料和2006—2008年海雾野外试验的观测资料建立预报变量因子,利用GRAPES模式得到并输出变量因子。结合NCEP资料分析海雾出现的各种判据和条件,选取湛江、珠海、汕头3站为代表,建立了广东沿海自西向东各地区的海雾MOS判别预报方法,实现了24h的海雾判别预报。对2008年3月湛江和汕头、4月珠海的预报检验表明,该海雾MOS判别预报方法对广东沿海海雾具有一定的预报能力,预报准确率为84%~90%,Ts评分为0.40~0.53,Hss评分为0.52~0.56。
A number of predictors (factors of variables) were established and output by the Grapes model by using the NCEP 1°×1° reanalysis (2004--2008) and with reference to the data of sea fog from observational stations (2004--2008) and field observations (2006--2008). Based on the criteria and conditions for sea fog appearance at the stations of Zhanjiang, Zhuhai and Shantou, a Model Output Statistics (MOS) scheme for distinguishing and forecasting 24 h sea fog was established and put into use for three representative coastal areas of Guangdong. As shown in an assessment of the forecasts of sea fog for Zhanjiang and Shantou (March of 2008) and Zhuhai (April of 2008), the scheme was quite capable of forecasting sea fog on the coast of the province, with the accuracy ranging from 84% to 90%, the threat score from 0.40 to 0.53 and the Heidke skill from 0.52 to 0.56.
出处
《热带气象学报》
CSCD
北大核心
2010年第1期31-39,共9页
Journal of Tropical Meteorology
基金
国家自然科学基金(40675013)
中国气象局新技术推广项目(华南沿海海雾业务预报方法研究)
广东省科技计划项目2006B37202005(珠江口海雾与能见度精细预报技术研究)
广东省气象局气象科技项目(珠江口海雾监测预警系统研究)共同资助
关键词
天气预报
海雾预报
广东沿海
MOS判别方法
预报变量因子
weather forecast
sea fog forecast
coastal Guangdong
MOS-based distinguishing scheme
variable predictors