| 摘要: |
| 将9层全球气候谱模式(GCM)与CSU-RAMS中尺度数值模式嵌套,进行了月尺度的短期区域气候预测试验。结果表明:GCM模式的集合预报能够反映较大尺度的平均环流;在此基础上,被嵌套的CSU-RAMS中尺度模式能够得到更为细致的区域环流特征以及它的短期气候尺度的演变。GCM模式与中尺度模式相结合的"区域气候数值模式"是了解短期区域气候变化的有效方法之一。 |
| 关键词: 区域气候数值模式 区域气候数值预测 区域环流 |
| DOI： |
| 分类号: |
| 基金项目:国家"八五"重点项目"短期气候预测理论和方法的研究"课题资助 |
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| THE NUMERICAL FORECAST TEST FOR MONTHLY-SCALE REGIONAL CLIMATE CHANGE |
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Wan Qilin, Liang Jianyin, Shi Yongnian
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Guangzhou Institude of Tropical and Oceanic Meteorology, Guangzhou, 510080
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| Abstract: |
| The numerical forecasting of monthly-scale regional climate change is tested with the CSU-RAMS mesoscale numerical model nested in 9-level general circulation spectral model(GCM).The results show that the GCM assembly forecast has reproduced realistic large-scale average circulation;based on this,the CSU-RAMS model nested in GCM reproduces regional circulation and its short-range climate change.The "regional climate model" of nesting a meso-scale model into GCM is a valid method for forecasting regional short-range climate change. |
| Key words: Regional climate model Numerical forecast of regional climate change Regional circulation |
