{"title":"评价气候资料的质量","authors":"D. Kurtener, E. Krueger","doi":"10.17830/J.EAJ.2014.01.042","DOIUrl":null,"url":null,"abstract":"An assessment of the quality climatological information plays an important role in evaluating climate change processes. Such an evaluation is particularly important for generating precise climatological maps. This paper introduces a concept of evaluating the quality of climatological maps based on a fuzzy logic approach. The developed methodology was used for assessing climatological map quality for the Karelia region in Russia. By utilizing a map fuzzy indicator, every climatological map evaluated provided a better assessment of the quality of thematic climatological map data.","PeriodicalId":30775,"journal":{"name":"European Agrophysical Journal","volume":"10 1","pages":"42-53"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the Quality of Climatological Information\",\"authors\":\"D. Kurtener, E. Krueger\",\"doi\":\"10.17830/J.EAJ.2014.01.042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An assessment of the quality climatological information plays an important role in evaluating climate change processes. Such an evaluation is particularly important for generating precise climatological maps. This paper introduces a concept of evaluating the quality of climatological maps based on a fuzzy logic approach. The developed methodology was used for assessing climatological map quality for the Karelia region in Russia. By utilizing a map fuzzy indicator, every climatological map evaluated provided a better assessment of the quality of thematic climatological map data.\",\"PeriodicalId\":30775,\"journal\":{\"name\":\"European Agrophysical Journal\",\"volume\":\"10 1\",\"pages\":\"42-53\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Agrophysical Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17830/J.EAJ.2014.01.042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Agrophysical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17830/J.EAJ.2014.01.042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating the Quality of Climatological Information
An assessment of the quality climatological information plays an important role in evaluating climate change processes. Such an evaluation is particularly important for generating precise climatological maps. This paper introduces a concept of evaluating the quality of climatological maps based on a fuzzy logic approach. The developed methodology was used for assessing climatological map quality for the Karelia region in Russia. By utilizing a map fuzzy indicator, every climatological map evaluated provided a better assessment of the quality of thematic climatological map data.