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机构地区:[1]兰州交通大学环境与市政工程学院,甘肃兰州730070
出 处:《兰州交通大学学报》2014年第3期31-34,共4页Journal of Lanzhou Jiaotong University
摘 要:将不同 ENSO 指数与我国0.5°×0.5°月降水量网格数据进行步长为0~12个月的延时相关分析,结果显示我国降水对不同的 ENSO 指数的响应有很大差异.选择相关性较显著及区域分布明显的 Nino1+2和 Nino3为ENSO 代表指数,这两个指数与我国大部分地区降水呈明显的正相关,按响应程度该两指数对我国降水影响可分为东北地区、东南地区、西北北部及西南西部地区、西北东南及西南东部地区等5个区域.我国降水对 ENSO 代表指数响应最大时延时月份,可以分为华北北部地区、西南西部地区、全国大部地区、东南地区等4个区域.The different ENSO indexes with monthly precipitation grid date of 0.5°×0.5°in China are analyzed by delay correlation for the step of 0~12 month.The result reveals that the precipitation in China shows different responses with different ENSO indexes.Nino1 +2 and Nino3 are selected as the representative indexes by contrasting the significance and distribution area of the correlation.These ENSO indexes show an obviously positive correlation with the precipitation in China.The distribution of correlation in China can be divided into five regions as follows:north-east,southeast,north of northwest,west of southwest,southeast of northwest and east of south-west of China.China can be divided into four regions by most obvious response time as follows:northern north China,southwest western region,most areas of China and southeast.
分 类 号:P461[天文地球—大气科学及气象学]
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