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GFS对我国南方两次持续性降水过程的预报技巧评估 被引量:5

Assessment on Forecasting Skills of GFS Model for Two Persistent Rainfalls over Southern China
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摘要 采用美国全球预报系统(Global Forecasting System,GFS)资料,利用谐波滤波提取空间长波、超长波分量,检验评估了GFS对2012年7月11-31日东亚地区大气环流场和降水的可预报能力。结果表明:GFS模式对东亚地区的中低层高度场预报可靠时效维持6d以上,高层预报可靠时效可达10 d;长波、超长波的可预报效果显著,其中高度场长波5~8波的预报效果好于3~6波,风场则相反;GFS对我国南方两次持续性降水过程的可预报天数维持在8d左右,并可提前2天预报出强降水带位置;模式对持续性降水过程预报相对站点观测降水量整体偏强。 This study aims at assessing the predictability capacity of the Global Forecasting System(GFS)for the atmospheric circulation features and precipitation over East Asia during 11—31 July 2012 by using the GFS data and the extracted components of long wave and ultra-long wave via the harmonic filtering.The results show that the GFS model can predict the mid and lower heights over East Asia with reliable lead time of 6 d,and up to 10 d for the higher heights.The predictability for long wave and ultra-long wave components is more significant,of which the 5 — 8 wave-band forecast is better than the 3 — 6 wave one in terms of the forecasting skill for height.However,the forecast result is reversed for the wind filed.In addition,the predictability of the model for the two persistent rainfalls maintains 8 d or so,and moreover it can tell the location of severe rainfall band ahead of 2 d.In general,the GFS model is stronger in forecasting the persistent precipitation process than the observed fields.
出处 《气象》 CSCD 北大核心 2015年第1期45-51,共7页 Meteorological Monthly
基金 国家重点基础研究发展计划(973计划)(2012CB417204) 公益性行业(气象)科研专项(GYHY201006014和GYHY201206039) 国家自然科学基金项目(40875022和41175064)共同资助
关键词 GFS 滤波 大气环流场 持续性降水 误差 评分 global forecasting system(GFS) filtering atmospheric circulation features persistent rainfall error score
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