| ON STRONG SIGNALS OF MONTHLY PRECIPITATION ANOMALIES IN EARLY RAINING SEASON OF GUANGDONG AND CONCEPTUAL MODELS OF PREDICTION |
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| 作者姓名： | 林爱兰 |
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| 作者单位： | Guangzhou Institute of Tropical and Oceanic Meteorology, Guangzhou, 510080 China
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| 基金项目： | Short-term Climate Prediction Study for Guangdong Province, a key project of Guangdong
Science and Technology Committee in the national 9th five-year economic development plan; Research on
Long-term Tendency Prediction System for Floods/Drought and Typhoons in Southern China (96-908-05-07) |
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| 摘 要： | Reanalysis data from NCEP/NCAR are used to systematically study preceding signals of monthly
precipitation anomalies in the early raining season of Guangdong province, from the viewpoints of 500-hPa
geopotential height field, outgoing longwave radiation (OLR) field, sea surface temperature (SST) and fourteen
indexes of general circulation depicting atmosphere activity at high, middle and low latitutes. Being multiple
tools of information, a number of conceptual models are formulated that are useful for prediction of the
magnitude of monthly precipitation (drought, flood and normal conditionss).
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| 关 键 词： | 旱期除水季节 海洋表面温度 降水 总体模型 月天气预报 |
ON STRONG SIGNALS OF MONTHLY PRECIPITATION ANOMALIES IN EARLY RAINING SEASON OF GUANGDONG AND CONCEPTUAL MODELS OF PREDICTION |
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| LIN Ai-lan.ON STRONG SIGNALS OF MONTHLY PRECIPITATION ANOMALIES IN EARLY RAINING SEASON OF GUANGDONG AND CONCEPTUAL MODELS OF PREDICTION[J].Journal of Tropical Meteorology,2002,8(2):150-157. |
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| Authors: | LIN Ai-lan |
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| Institution: | Guangzhou Institute of Tropical and Oceanic Meteorology, Guangzhou, 510080 China |
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| Abstract: | Reanalysis data from NCEP/NCAR are used to systematically study preceding signals of monthly precipitation anomalies in the early raining season of Guangdong province,from the viewpoints of 500-hPa geopotential height field,outgoing longwave radiation(OLR) field,sea surface temperature(SST) and fourteen indexes of general circulation depicting atmosphere activity at high,middle and low latitutes,Being multiple tools of information,a number of conceptual models are formulated that are useful for prediction of the magnitude of monthly precipitation (drought,flood and normal conditionss). |
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| Keywords: | early raining season of the year precipitation anomalies strong signals conceptual models |
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