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k阶最近邻距离混合点过程分解模型的适用性判断条件的修正
  • ISSN号:1001-246X
  • 期刊名称:计算物理
  • 时间:2011.11.11
  • 页码:875-882
  • 分类:P467[天文地球—大气科学及气象学]
  • 作者机构:[1]College of Atmospheric Sciences,Lanzhou University, [2]National Climate Center,China Meteorological Administration
  • 相关基金:National Natural Science Foundation of China (40875040,41175067);National Key Program for Developing Basic Science:Global Change Research (2012CB955902);Special Scientific Research Project of China’s Public Welfare (GYHY201106016)
  • 相关项目:中国极端气候事件群发性特征及诊断识别方法研究
中文摘要:

Progresses in the research for season division and seasonal changes are reviewed systematically in this paper,which particularly introduces the results of a national natural science foundation project,"the nonlinear identification of seasonal changes and its responses to global warming".The project developed two objective and quantitative methods for season division:the non-linear similarity measure(NSM) method and the regional multi-element optimal dissection(RMOD) method,which differ from traditional ones for season division.Besides,the project further investigated seasonal changes and their responses to global warming,analyzed evolution characteristics of the starting date and length of seasons in history,revealed their relationships with extreme events and precipitation patterns in rainy seasons,and thereby built a research system for seasonal changes in China under the global warming background.Finally,the authors make an outlook on the research for season division and seasonal changes and put forward several issues associated with season and climate changes that need to be further explored.

英文摘要:

Progresses in the research for season division and seasonal changes are reviewed systematically in this paper,which particularly introduces the results of a national natural science foundation project,"the nonlinear identification of seasonal changes and its responses to global warming".The project developed two objective and quantitative methods for season division:the non-linear similarity measure(NSM) method and the regional multi-element optimal dissection(RMOD) method,which differ from traditional ones for season division.Besides,the project further investigated seasonal changes and their responses to global warming,analyzed evolution characteristics of the starting date and length of seasons in history,revealed their relationships with extreme events and precipitation patterns in rainy seasons,and thereby built a research system for seasonal changes in China under the global warming background.Finally,the authors make an outlook on the research for season division and seasonal changes and put forward several issues associated with season and climate changes that need to be further explored.

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期刊信息
  • 《计算物理》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国核学会
  • 主编:朱少平
  • 地址:北京海淀区丰豪东路2号北京应用物理与计算数学研究所
  • 邮编:100094
  • 邮箱:jswl@iapcm.ac.cn
  • 电话:010-59872547 59872545 59872547
  • 国际标准刊号:ISSN:1001-246X
  • 国内统一刊号:ISSN:11-2011/O4
  • 邮发代号:2-477
  • 获奖情况:
  • 1992年获“全优期刊”奖,《CAJ-CD规范》执行优秀奖
  • 国内外数据库收录:
  • 荷兰文摘与引文数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:4426