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投稿时间:2017-02-07 修订日期:2017-02-20
投稿时间:2017-02-07 修订日期:2017-02-20
中文摘要: 文章对2016年9—11月T639、ECMWF及日本全球数值模式的中期预报产品进行了分析检验。结果表明:3个模式对亚洲中高纬环流形势的调整和演变具有较好的预报性能,其中ECMWF模式预报效果最好。对副热带高压预报,ECMWF模式对脊线位置预报偏差更小,而T639模式对西脊点的位置把握更好。3个模式对850 hPa温度的转折性变化趋势均有较好的预报能力,其中对南方地区温度变化的预报能力明显优于北方地区。此外,3个模式对1614号强台风莫兰蒂中心位置和强度的120 h预报均存在不同程度的偏差,但ECMWF模式在台风发展后期能较好地预报出台风的移动方向。T639模式对寒潮地面冷高压强度的预报效果优于ECMWF模式。
Abstract:The mid term forecasting products of T639, ECMWF and Japan numerical models from September to November in 2016 are analyzed and tested. The results show that the three models have good performance on the adjustment and evolution of the Asian mid high latitude circulation pattern, of which the ECMWF model does the best. Regarding the forecast of the subtropical high, the ECMWF model creates very small error to the position of the subtropical high ridge, while the T639 model predicts the position of the western ridge point of the subtropical high much better. The three models all have good forecasting ability for the 850 hPa temperature change trend, and they do better for the temperature in the South of China than for that in the North. In addition, the three models have different deviations for the center position and intensity of the severe Typhoon Moranti (No.1614) in the 120 h forecast, but the ECMWF model can predict the direction of typhoon track better in its later developing stage. The T639 model is superior to the ECMWF model in forecasting the surface high pressure of the cold wave.
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基金项目:中国气象局气象预报业务关键技术发展专项[YBGJXM(2017)04-01]和国家气象中心青年基金项目(Q201603)共同资助
Author Name | Affiliation |
ZHANG Xiakun | National Meteorological Centre, Beijing 100081 |
引用文本:
张夏琨,2017.2016年9—11月T639、ECMWF及日本模式中期预报性能检验[J].气象,43(2):240-248.
ZHANG Xiakun,2017.Performance Verification of Medium Range Forecasts by T639, ECMWF and Japan Models from September to November 2016[J].Meteor Mon,43(2):240-248.
张夏琨,2017.2016年9—11月T639、ECMWF及日本模式中期预报性能检验[J].气象,43(2):240-248.
ZHANG Xiakun,2017.Performance Verification of Medium Range Forecasts by T639, ECMWF and Japan Models from September to November 2016[J].Meteor Mon,43(2):240-248.