大气科学学报
大氣科學學報
대기과학학보
JOURNAL OF NANJING INSTITUTE OF METEOROLOGY
2011年
4期
467-475
,共9页
谢瑶瑶%李丽平%王盘兴%罗小莉
謝瑤瑤%李麗平%王盤興%囉小莉
사요요%리려평%왕반흥%라소리
中国年和季气温、降水%线性分量%年代际变化分量%方差贡献%显著性检验
中國年和季氣溫、降水%線性分量%年代際變化分量%方差貢獻%顯著性檢驗
중국년화계기온、강수%선성분량%년대제변화분량%방차공헌%현저성검험
annual and seasonal temperature and rainfall in China%linear component%interdecadal variation component%variance contribution%significance test
对1951—2008年中国160站年和四季的气温、降水序列是否服从正态分布进行显著性检验,以此为基础进一步对气温和降水序列中的年代际异常分量显著性作了严格的统计学分析,结果表明:1)大多数测站气温序列服从正态分布,大多数测站降水序列不服从正态分布;气温、降水序列是否服从正态分布与地域有一定联系。2)气温、降水序列中年代际变化分量的显著性存在明显差异,多数测站气温序列年代际分量显著,只有少数测站降水序列的年代际分量显著。3)因为1951—2008年中国160站年、季气温和降水序列不全服从正态分布,特别是降水序列的非正态性严重,建议对它们的统计显著性检验采用Monte Carlo方法。
對1951—2008年中國160站年和四季的氣溫、降水序列是否服從正態分佈進行顯著性檢驗,以此為基礎進一步對氣溫和降水序列中的年代際異常分量顯著性作瞭嚴格的統計學分析,結果錶明:1)大多數測站氣溫序列服從正態分佈,大多數測站降水序列不服從正態分佈;氣溫、降水序列是否服從正態分佈與地域有一定聯繫。2)氣溫、降水序列中年代際變化分量的顯著性存在明顯差異,多數測站氣溫序列年代際分量顯著,隻有少數測站降水序列的年代際分量顯著。3)因為1951—2008年中國160站年、季氣溫和降水序列不全服從正態分佈,特彆是降水序列的非正態性嚴重,建議對它們的統計顯著性檢驗採用Monte Carlo方法。
대1951—2008년중국160참년화사계적기온、강수서렬시부복종정태분포진행현저성검험,이차위기출진일보대기온화강수서렬중적년대제이상분량현저성작료엄격적통계학분석,결과표명:1)대다수측참기온서렬복종정태분포,대다수측참강수서렬불복종정태분포;기온、강수서렬시부복종정태분포여지역유일정련계。2)기온、강수서렬중년대제변화분량적현저성존재명현차이,다수측참기온서렬년대제분량현저,지유소수측참강수서렬적년대제분량현저。3)인위1951—2008년중국160참년、계기온화강수서렬불전복종정태분포,특별시강수서렬적비정태성엄중,건의대타문적통계현저성검험채용Monte Carlo방법。
On the basis of the normality significance test of the annual and seasonal temperature and rainfall series at 160 stations in China from 1951 to 2008,the significance of the interdecadal anomaly components of temperature and rainfall series is statistically analyzed.The results show that:1)Temperature at most stations was normally distributed while rainfall was not,which was somewhat related to the regions.2) There was obvious difference in the significance of interdecadal components of temperature and rainfall series.The interdecadal component of temperature was significant at most stations while it was the case at only a few stations for rainfall.3) Since not all the annual and seasonal temperature and rainfall,especially the rainfall series,were normally distributed at the 160 stations in China from 1951 and 2008,the statistical significance should be tested by Monte Carlo scheme.