| A PRELIMINARY STUDY ON COMBINING TWO KINDS OF PROXY DATA USING THE CONDITIONAL QUANTILE ADJUSTMENT METHOD |
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| 引用本文： | Wu Xiangding,Liu Hongbin(Institute of Geography,CAS,Beijing People''s Republic of ChinPan Yimin(Institute of Applied Mathematics,CAS,Beijing People''s Republic of Chin. A PRELIMINARY STUDY ON COMBINING TWO KINDS OF PROXY DATA USING THE CONDITIONAL QUANTILE ADJUSTMENT METHOD[J]. 地理学报(英文版), 1995, 0(1) |
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| 作者姓名： | Wu Xiangding Liu Hongbin(Institute of Geography CAS Beijing People''s Republic of ChinPan Yimin(Institute of Applied Mathematics CAS Beijing People''s Republic of Chin |
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| 作者单位： | Wu Xiangding; Liu Hongbin(Institute of Geography，CAS，Beijing 100101People's Republic of China)Pan Yimin(Institute of Applied Mathematics，CAS，Beijing 100080People's Republic of China) |
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| 摘 要： | LbooductionThereisanughneedfOrgreaterunderstandingofnatureandcauseofthefluCtuationinclimatethathaveoccurredsincethemoStrediceage.AccordingtooneresearchstreaminPastGobalChangsstudy,findingmulti-proxydataonclimatcvanatonwithhighresolutionisanimPohanobjeCtiv…
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A PRELIMINARY STUDY ON COMBINING TWO KINDS OF PROXY DATA USING THE CONDITIONAL QUANTILE ADJUSTMENT METHOD |
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| Wu Xiangding,Liu Hongbin. A PRELIMINARY STUDY ON COMBINING TWO KINDS OF PROXY DATA USING THE CONDITIONAL QUANTILE ADJUSTMENT METHOD[J]. Journal of Geographical Sciences, 1995, 0(1) |
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| Authors: | Wu Xiangding Liu Hongbin |
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| Abstract: | Based on two kinds of proxy data, a tree-ring width chronology at Huashan and the wetness/dryness grade series around Xi'an in north-centralChina, thes presat study demonstrates how different types of proxy climaterecords can be combined to give a more reliable estimate of past climate thaneither record can be done individually. With comparison and correction of thetwo data sets, various statistical models can be developed from individual andcombined senes. Among them, the best combined model produced by theconditional quantile adjustmat method can be selected for reconstruction ofApril-July rainfall at Huashan back to 1600 A.D. |
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| Keywords: | conditional quantile climate proxy data |
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