通过数据挖掘调查气候变化的长期趋势及其因区域和地方环境而产生的空间差异（英文）

编号 zgly0001583948

文献类型 期刊论文

文献题名 通过数据挖掘调查气候变化的长期趋势及其因区域和地方环境而产生的空间差异（英文）

作者 谢一春  张扬  兰海  毛立身  曾寔  陈宇璐 

作者单位 InstituteforGeospatialResearchandEducation  EasternMichiganUniversity  GuangzhouInstituteofGeography  DepartmentofComputerScience  IndianaUniversity  DepartmentofComputerScience  NewYorkUniversity  CenterforAdvancedSpatialAnalysis  Univ 

母体文献 Journal of Geographical Sciences 

年卷期 2018年06期

年份 2018 

分类号 P467 

关键词 climatechange  empiricalmodedecomposition  InnerMongolia  similarityplot  trendsurface 

文摘内容 Climate change is a global phenomenon but is modified by regional and local environmental conditions.Moreover,climate change exhibits remarkable cyclical oscillations and disturbances,which often mask and distort the long-term trends of climate change we would like to identify.Inspired by recent advancements in data mining,we experimented with empirical mode decomposition(EMD) technique to extract long-term change trends from climate data.We applied GIS elevation model to construct 3 D EMD trend surface to visualize spatial variations of climate change over regions and biomes.We then computed various time-series similarity measures and plot them to examine spatial patterns across meteorological stations.We conducted a case study in Inner Mongolia based on daily records of precipitation and temperature at 45 meteorological stations from 1959 to 2010.The EMD curves effectively illustrated the long-term trends of climate change.The EMD 3 D surfaces revealed regional variations of climate change,while the EMD similarity plots disclosed cross-station deviations.In brief,the change trends of temperature were significantly different from those of precipitation.Noticeable regional patterns and local disturbances of the changes in both temperature and precipitation were identified.The trends of change were modified by regional and local topographies and land covers.