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New Predictors and a Statistical Forecast Model for Mei-Yu Onset Date in the Middle and Lower Reaches of the Yangtze River Valley

机译:长江中下游梅雨发病日期的新预报器及统计预报模型

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The prediction of mei-yu onset date (MOD) in the middle and lower reaches of the Yangtze River valley (MLYRV)is an important and challenging task for those making seasonal climate predictions in China. In this paper, the atmospheric and oceanic conditions in the preceding winter and spring related to MOD are analyzed. It is found that theMODis associated with the intensity of the Ural high and the East Asian trough in high latitudes, with the intensity of the upper-level westerly jet in middle latitudes, and with the contrast of land-sea temperature and pressure in the preceding winter and spring, which are proxies for the intensity of the East Asian winter monsoon (EAWM). It is suggested that the intensity of the EAWM is the most crucial factor affecting the MOD. Years with an early MOD usually correspond to strong EAWMs in the preceding winter, and vice versa. The EAWM can affect the MOD by influencing the East Asian summer monsoon (EASM) through tropical ocean-atmosphere and tropical-extratropical interactions. Based on the above analysis, a physics-based statistical forecast model is established using multivariable linear regression techniques. The hindcast ofMODduring the 13 yr from 1998 to 2010 is carried out to evaluate the performance of this forecast model. TheMOD can be predicted successfully in 8 out of the 13 yr. The forecast model predicts the MOD in the years with strong mei-yu intensity more accurately than in those with weak mei-yu intensity, especially for cases of extreme flooding. This is useful in the prevention of flooding disasters.
机译:长江中下游(MLYRV)的梅雨起伏期(MOD)预报对于那些在中国进行季节气候预报的人来说是一项重要而具有挑战性的任务。本文分析了与MOD相关的前冬和春季的大气和海洋条件。研究发现,MOD与高纬度的乌拉尔高压和东亚海槽的强度,中纬度的高空西风急流的强度以及前海陆海温度和压力的对比有关。冬季和春季,这是东亚冬季风(EAWM)强度的代理。建议EAWM的强度是影响MOD的最关键因素。具有早期MOD的年份通常对应于前一个冬季的强EAWM,反之亦然。 EAWM可以通过热带海洋-大气层和热带-热带关系影响东亚夏季风(EASM),从而影响MOD。基于以上分析,使用多变量线性回归技术建立了基于物理学的统计预测模型。进行了1998年至2010年这13年间的后向预报,以评估该预测模型的性能。可以在13年中的8年中成功预测MOD。预测模型预测梅雨强度高的年份的MOD比弱梅雨强度的年份的MOD更准确,尤其是在极端洪灾的情况下。这对于预防洪水灾害很有用。

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