西南师范大学学报(自然科学版)
西南師範大學學報(自然科學版)
서남사범대학학보(자연과학판)
JOURNAL OF SOUTHWEST CHINA NORMAL UNIVERSITY
2014年
9期
173-179
,共7页
孙佳%李永华%李庆祥%王若瑜%张天宇%王勇
孫佳%李永華%李慶祥%王若瑜%張天宇%王勇
손가%리영화%리경상%왕약유%장천우%왕용
惩罚最大T检验%气温%均一性%重庆
懲罰最大T檢驗%氣溫%均一性%重慶
징벌최대T검험%기온%균일성%중경
penalized maximal T test%temperature%homogeneity%Chongqing
利用惩罚最大T检验并结合元数据对重庆34个台站年平均气温资料进行了均一性检验和订正,结果表明该方法能够很好地应用于重庆年平均气温资料的均一性检验;重庆年平均气温资料的非均一性在空间上普遍存在,东北部最为明显;迁站是影响其非均一性的最重要的因素,仪器变动的影响也不容忽视;相较订正前,订正后重庆年平均气温资料的整体质量和连贯性明显要好,线性趋势空间分布更为合理,消除了个别台站线性趋势明显异常的情况;最后建立了建站至2010年重庆34个台站均一的年平均气温资料序列,为准确地评估气候变化趋势和变率奠定基础。
利用懲罰最大T檢驗併結閤元數據對重慶34箇檯站年平均氣溫資料進行瞭均一性檢驗和訂正,結果錶明該方法能夠很好地應用于重慶年平均氣溫資料的均一性檢驗;重慶年平均氣溫資料的非均一性在空間上普遍存在,東北部最為明顯;遷站是影響其非均一性的最重要的因素,儀器變動的影響也不容忽視;相較訂正前,訂正後重慶年平均氣溫資料的整體質量和連貫性明顯要好,線性趨勢空間分佈更為閤理,消除瞭箇彆檯站線性趨勢明顯異常的情況;最後建立瞭建站至2010年重慶34箇檯站均一的年平均氣溫資料序列,為準確地評估氣候變化趨勢和變率奠定基礎。
이용징벌최대T검험병결합원수거대중경34개태참년평균기온자료진행료균일성검험화정정,결과표명해방법능구흔호지응용우중경년평균기온자료적균일성검험;중경년평균기온자료적비균일성재공간상보편존재,동북부최위명현;천참시영향기비균일성적최중요적인소,의기변동적영향야불용홀시;상교정정전,정정후중경년평균기온자료적정체질량화련관성명현요호,선성추세공간분포경위합리,소제료개별태참선성추세명현이상적정황;최후건립료건참지2010년중경34개태참균일적년평균기온자료서렬,위준학지평고기후변화추세화변솔전정기출。
T he annual mean temperature data over 34 stations in Chongqing have been detected and adjusted by means of Penalized Maximal T Test and metadata .The results show that the method works well for homogeneity studies of the annual mean temperature over Chongqing .The nonhomogeneity of stations is widely found in Chongqing ,especially in the Northeast .The discontinuities usually result from the chan-ges in station location and changes in instrumentation are also important causes . Comparison analysis show s that the adjustment is reasonable and acceptable .T here are better quality and continuity for annual mean temperature w hich has been adjusted .T he distribution of linear trend for adjusted data is reasonable and several stations that have abnormal linear trend are eliminated .One of the important results is that the paper obtains the homogeneity data series of annual mean temperature from when the stations were build to 2010 .It is indispensable for a realistic and reliable assessment of historical climate trends and variability .