排序方式: 共有33条查询结果,搜索用时 15 毫秒
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利用1980~200l午封丘县夏蝗发生资料和同期该地区气候资料,采用合成分析法,分析了气候条件对夏蝗发生的影响,并找出了一些预测夏蝗发生的定性预报因子。 相似文献
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2003年汛期3种中尺度数值预报模式降水预报检验 总被引:7,自引:0,他引:7
利用2003年汛期降水实况及河南省气象台引进的3种中尺度数值预报模式(REM、MM5、MAPS)的降水预报资料,对模式预报性能作了检验对比分析。结果发现:REM模式对于大雨以上降水的预报效果较好;MAPS模式的12h预报有明显优势;MM5模式对小雨和中雨的预报效果较好,并且预报结果具有稳定性。 相似文献
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利用1951~2012年新疆哈密市的观测资料和NCEP再分析资料,对造成哈密市大降水(12.0 mm)的大气环流特征进行合成分析。结果发现造成哈密站大降水的大气环流分为4种类型:横槽型、低涡型、低槽(ω)型和不稳定小槽型。其中出现暴雨以上降水(24 h降水量24.0 mm)的个例集中在低槽(ω)型;横槽型个例的降水量在13.0~22.0 mm之间;低涡型个例的降水量分布相对均匀,在15.0~20.0 mm之间;不稳定小槽型个例的降水量偏少,全部在18.0 mm以下。4种类型的大气环流特征主要在对流层中高层差异明显。横槽型中低纬度环流平直,其横槽的北部是西北气流,南亚高压是青藏高压西部型;低涡型的中低纬度,在孟加拉湾有低槽,低槽的北部有低涡存在,低涡西面的脊偏强,其南亚高压是青藏高压东部型;低槽(ω)型东部的脊偏强,呈西北东南向,南亚高压是伊朗高压型;不稳定小槽型的南亚高压为伊朗高原到青藏高原东部的带状,500 hPa位势高度场上,85°E以西是平直的偏西气流,新疆东部地区有一小的短波槽。 相似文献
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夏季西北太平洋台风生成数的敏感性因子 总被引:2,自引:0,他引:2
比较了台风生成参数中各因子与西北太平洋7-9月台风生成数(WNPSTYN)的相关关系,也比较各因子在北半球台风主要源区的纬向距平分布特征,发现涡度因子与WNPSTYN的关系最好,在台风生成条件中相对富有但不特别富足的特性决定了其是WNPSTYN年际变化的敏感性因子.同时还分析了西北太平洋关键区涡度因子年际变化的来源和表征台风生成数的优越性,发现关键区涡度因子年际变化与南方涛动、南极涛动和澳洲东部高度场的年际变化有关,体现了南半球两大系统和ENSO对WNPSTYN的影响;涡度因子与WNPSTYN的显著相关区与台风生成源地集中区一致,表征台风年际变化有明显的优越性.这些特性对关于WNPSTYN的影响机制研究和气候模式模拟有非常重要的意义. 相似文献
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As shown in comparisons of the characteristics of inter-annual and inter-decadal variability and
periodical changes in the number of tropical cyclones forming over the western North Pacific by three
major forecast centers, i.e. China Meteorological Administration (CMA), Regional Specialized
Meteorological Center of Tokyo (JMA) and Joint Typhoon Warning Center (JTWC) of Guam, there are the
following important points. (1) Climatology of tropical cyclone (TC) or typhoon (TC on the intensity of TS
or stronger) shows some difference in tropical cyclone frequency among the centers, which is more notable
with TC than with typhoon. Both of them are more at the database of CMA than at those of the other two
centers. (2) The difference is too significant to ignore in the inter-annual variability of tropical cyclone
frequency between CMA and JTWC, which mainly results from the obvious difference in the inter-annual
variability of the number of generated tropical depression (TD) between the two databases. The difference
is small in the inter-annual variability of TS formations among all the three databases, and consistence is
good between JMA and CMA or JTWC. (3) Though differences are not significant in the periodical
variation of TC formations between CMA and JTWC, they are markedly apart in the inter-decadal
variability, which is mainly shown by an anti-phase during the 1990s. (4) Non-homogeneity may exist
around the late stage of the 1960s in the data of tropical cyclone frequency. 相似文献
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