{"title":"地表气温变化估算方法在中国大陆的应用分析","authors":"Shao Quanqin","doi":"10.3724/sp.j.1047.2012.00014","DOIUrl":null,"url":null,"abstract":"The methods used in surface air temperature change estimation in Chinese Mainland during recent 20 years are summarized in this paper,and data materials,temporal scale and results in different researcher's study are contrastively analyzed.Based on the meteorological observation air temperature data from 1970 to 2007 and several popular warming estimation methods internationally used,we estimated the warming trend in recent 40 years.The results of direct average method,calculation by station method,regional area weighted method,first difference method and spatial interpolation method show the same warming trend in recent years and every season in Chinese Mainland,but vary in quantities clearly.The uncertainties in warming estimation with different methods are analyzed and it is concluded that the warming trend in recent 40 years ranges from 0.30-0.43℃/10a,the warming amplitude is between 1.16 and 1.56℃,warming is most apparent in winter and slightest in summer,warming in the northern part is more than in the southern part.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Application Analysis of Surface Air Temperature Change Estimation Methods in Chinese Mainland\",\"authors\":\"Shao Quanqin\",\"doi\":\"10.3724/sp.j.1047.2012.00014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The methods used in surface air temperature change estimation in Chinese Mainland during recent 20 years are summarized in this paper,and data materials,temporal scale and results in different researcher's study are contrastively analyzed.Based on the meteorological observation air temperature data from 1970 to 2007 and several popular warming estimation methods internationally used,we estimated the warming trend in recent 40 years.The results of direct average method,calculation by station method,regional area weighted method,first difference method and spatial interpolation method show the same warming trend in recent years and every season in Chinese Mainland,but vary in quantities clearly.The uncertainties in warming estimation with different methods are analyzed and it is concluded that the warming trend in recent 40 years ranges from 0.30-0.43℃/10a,the warming amplitude is between 1.16 and 1.56℃,warming is most apparent in winter and slightest in summer,warming in the northern part is more than in the southern part.\",\"PeriodicalId\":67025,\"journal\":{\"name\":\"地球信息科学学报\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"地球信息科学学报\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.3724/sp.j.1047.2012.00014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"地球信息科学学报","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.3724/sp.j.1047.2012.00014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application Analysis of Surface Air Temperature Change Estimation Methods in Chinese Mainland
The methods used in surface air temperature change estimation in Chinese Mainland during recent 20 years are summarized in this paper,and data materials,temporal scale and results in different researcher's study are contrastively analyzed.Based on the meteorological observation air temperature data from 1970 to 2007 and several popular warming estimation methods internationally used,we estimated the warming trend in recent 40 years.The results of direct average method,calculation by station method,regional area weighted method,first difference method and spatial interpolation method show the same warming trend in recent years and every season in Chinese Mainland,but vary in quantities clearly.The uncertainties in warming estimation with different methods are analyzed and it is concluded that the warming trend in recent 40 years ranges from 0.30-0.43℃/10a,the warming amplitude is between 1.16 and 1.56℃,warming is most apparent in winter and slightest in summer,warming in the northern part is more than in the southern part.
期刊介绍:
Journal of Geo-Information Science is an academic journal under the supervision of Chinese Academy of Sciences, jointly sponsored by Institute of Geographic Sciences and Resources, Chinese Academy of Sciences and Chinese Geographical Society, and also co-sponsored by State Key Laboratory of Resource and Environmental Information System, Key Laboratory of Virtual Geographic Environment of Ministry of Education and Key Laboratory of 3D Information Acquisition and Application of Ministry of Education. Founded in 1996, it is openly circulated in the form of a monthly magazine.
Journal of Geoinformation Science focuses on publishing academic papers with geographic system information flow as the main research object, covering research topics such as geographic information cognitive theory, geospatial big data mining, geospatial intelligent analysis, etc., and pays special attention to the innovative results of theoretical methods in geoinformation science. The journal is aimed at scientific researchers, engineers and decision makers in the fields of cartography and GIS, remote sensing science, surveying and mapping science and technology. It is a core journal of China Science Citation Database (CSCD), a core journal of Chinese science and technology, a national Chinese core journal in domestic and international databases, and it is included in international databases, such as EI Compendex, Geobase, and Scopus.