{"title":"利用定量回归分析白俄罗斯境内的日平均气温和降水量","authors":"V. F. Loginov, M. A. Khitrykau","doi":"10.3103/s1068373924050030","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Average daily air temperature and daily total precipitation were analyzed using quantile regression. Quantiles corresponding to the selected extremes, i.e., below 0.1 (only for the analysis of air temperature) and above 0.9 were considered. It has been shown for the majority of cases that the spatial distribution of air temperature quantiles is close to the mean for winter and summer seasons. Specific features of temporal changes in the quantiles of air temperature and total precipitation are in line with the modern climate warming. A statistically significant relationship between air temperature and Earth surface characteristics is observed only for quantiles of 0.9 and more. Due to the complexity of the factors responsible for the formation of high-intensity precipitation, there is no clear pattern in the spatial distribution of the quantiles of daily total precipitation. There is statistically significant relationship between daily total precipitation, orography, and forest cover fraction on the territory.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Average Daily Temperature and Precipitation on the Territory of Belarus Using Quantile Regression\",\"authors\":\"V. F. Loginov, M. A. Khitrykau\",\"doi\":\"10.3103/s1068373924050030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Abstract</h3><p>Average daily air temperature and daily total precipitation were analyzed using quantile regression. Quantiles corresponding to the selected extremes, i.e., below 0.1 (only for the analysis of air temperature) and above 0.9 were considered. It has been shown for the majority of cases that the spatial distribution of air temperature quantiles is close to the mean for winter and summer seasons. Specific features of temporal changes in the quantiles of air temperature and total precipitation are in line with the modern climate warming. A statistically significant relationship between air temperature and Earth surface characteristics is observed only for quantiles of 0.9 and more. Due to the complexity of the factors responsible for the formation of high-intensity precipitation, there is no clear pattern in the spatial distribution of the quantiles of daily total precipitation. There is statistically significant relationship between daily total precipitation, orography, and forest cover fraction on the territory.</p>\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.3103/s1068373924050030\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.3103/s1068373924050030","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Analysis of Average Daily Temperature and Precipitation on the Territory of Belarus Using Quantile Regression
Abstract
Average daily air temperature and daily total precipitation were analyzed using quantile regression. Quantiles corresponding to the selected extremes, i.e., below 0.1 (only for the analysis of air temperature) and above 0.9 were considered. It has been shown for the majority of cases that the spatial distribution of air temperature quantiles is close to the mean for winter and summer seasons. Specific features of temporal changes in the quantiles of air temperature and total precipitation are in line with the modern climate warming. A statistically significant relationship between air temperature and Earth surface characteristics is observed only for quantiles of 0.9 and more. Due to the complexity of the factors responsible for the formation of high-intensity precipitation, there is no clear pattern in the spatial distribution of the quantiles of daily total precipitation. There is statistically significant relationship between daily total precipitation, orography, and forest cover fraction on the territory.
期刊介绍：
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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