FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2471512091> ?p ?o ?g. }

• W2471512091 endingPage "653" @default.
• W2471512091 startingPage "639" @default.
• W2471512091 abstract "Separating the impact of urbanization (urban effect temperature trends) from observational data at urban monitoring sites is an important problem in the detection of global warming impacts. A statistical method using principal component analysis of the temperature data in an area was developed to separate the urban effect temperature trend from the observed temperature record at urban stations, including those without nearby rural reference stations. After the mathematical description of the method, an example of the analysis for model data on which some trends are superimposed (given) at any stations was shown for an explanation of the method. This example not only clarified the performance (impact, weight) of the superimposed trend in the trend for each principal component score (Z-score) but also showed how all the superimposed trends were separated from the model data by this method. This method was applied to monthly mean temperature data for the past 73 years (1920-1992) from 51 meteorological stations in Japan, and the urban effect temperature trend at each station was separated from the observed temperature trend. As a result of the analysis, it was clarified that in Japan the maximum urban effect temperature trends at stations with a population of over 100 thousand in 1993 were 1.0-2.5°C/100 years, which were almost the same as those in the United States and China. The urban effect temperature trends in big cities are larger in the cold season than in the warm season, being maximum in winter or autumn and minimum in summer. After removing the urban effect temperature trend, the annual mean temperature trends at stations in Japan over the period analyzed ranged from 0.5°C/100 years in northern Japan to 1.1°C/100 years in western Japan with the areal mean for Japan of 0.8°C/100 years. The positive trends are most notable in winter and spring (December to May), and show areal mean values of 1.0-1.6°C/100 years with the maximum in March. On the other hand, they are not marked in summer and autumn. In particular, in the northern part of Japan, negative trends appear from July to November. The area with negative trends below -1.0°C/100 years extends over most of the northeastern half of Japan in July, but does not reach the southern part of Japan, which has a slight positive trend. As a result of these regional differences in temperature trends, the north-south temperature gradient increases in summer and autumn with the maximum trend difference of 2.0°C/100 years in July and October." @default.
• W2471512091 created "2016-07-22" @default.
• W2471512091 creator A5075685103 @default.
• W2471512091 date "1996-01-01" @default.
• W2471512091 modified "2023-10-03" @default.
• W2471512091 title "A Statistical Method for Separating Urban Effect Trends from Observed Temperature Data and its Application to Japanese Temperature Records" @default.
• W2471512091 cites W1562942655 @default.
• W2471512091 cites W1969578622 @default.
• W2471512091 cites W1972015039 @default.
• W2471512091 cites W1978934323 @default.
• W2471512091 cites W1984614551 @default.
• W2471512091 cites W1987337784 @default.
• W2471512091 cites W1993101415 @default.
• W2471512091 cites W1997127781 @default.
• W2471512091 cites W1998853474 @default.
• W2471512091 cites W1999428809 @default.
• W2471512091 cites W2001647204 @default.
• W2471512091 cites W2006900858 @default.
• W2471512091 cites W2008422904 @default.
• W2471512091 cites W2014356861 @default.
• W2471512091 cites W2015480683 @default.
• W2471512091 cites W2016869120 @default.
• W2471512091 cites W202107817 @default.
• W2471512091 cites W2029637621 @default.
• W2471512091 cites W2039085748 @default.
• W2471512091 cites W2042361769 @default.
• W2471512091 cites W2047838955 @default.
• W2471512091 cites W2050603493 @default.
• W2471512091 cites W2053327069 @default.
• W2471512091 cites W2067799251 @default.
• W2471512091 cites W2067912665 @default.
• W2471512091 cites W2068769812 @default.
• W2471512091 cites W2076912494 @default.
• W2471512091 cites W2082421211 @default.
• W2471512091 cites W2086078280 @default.
• W2471512091 cites W2094335200 @default.
• W2471512091 cites W2095820518 @default.
• W2471512091 cites W2111351992 @default.
• W2471512091 cites W2124635045 @default.
• W2471512091 cites W2126919392 @default.
• W2471512091 cites W2156219488 @default.
• W2471512091 cites W2178346981 @default.
• W2471512091 cites W2179304541 @default.
• W2471512091 cites W2312468833 @default.
• W2471512091 cites W2314322184 @default.
• W2471512091 cites W2402617976 @default.
• W2471512091 cites W2444681943 @default.
• W2471512091 cites W2586591409 @default.
• W2471512091 cites W4232390420 @default.
• W2471512091 cites W4233087906 @default.
• W2471512091 cites W4244925858 @default.
• W2471512091 cites W4248368970 @default.
• W2471512091 cites W92546997 @default.
• W2471512091 cites W98756620 @default.
• W2471512091 doi "https://doi.org/10.2151/jmsj1965.74.5_639" @default.
• W2471512091 hasPublicationYear "1996" @default.
• W2471512091 type Work @default.
• W2471512091 sameAs 2471512091 @default.
• W2471512091 citedByCount "34" @default.
• W2471512091 countsByYear W24715120912012 @default.
• W2471512091 countsByYear W24715120912014 @default.
• W2471512091 countsByYear W24715120912015 @default.
• W2471512091 countsByYear W24715120912018 @default.
• W2471512091 countsByYear W24715120912019 @default.
• W2471512091 countsByYear W24715120912021 @default.
• W2471512091 countsByYear W24715120912023 @default.
• W2471512091 crossrefType "journal-article" @default.
• W2471512091 hasAuthorship W2471512091A5075685103 @default.
• W2471512091 hasBestOaLocation W24715120911 @default.
• W2471512091 hasConcept C105795698 @default.
• W2471512091 hasConcept C111368507 @default.
• W2471512091 hasConcept C127142870 @default.
• W2471512091 hasConcept C127313418 @default.
• W2471512091 hasConcept C132651083 @default.
• W2471512091 hasConcept C144024400 @default.
• W2471512091 hasConcept C149923435 @default.
• W2471512091 hasConcept C153294291 @default.
• W2471512091 hasConcept C162324750 @default.
• W2471512091 hasConcept C166957645 @default.
• W2471512091 hasConcept C191935318 @default.
• W2471512091 hasConcept C205649164 @default.
• W2471512091 hasConcept C27438332 @default.
• W2471512091 hasConcept C2908647359 @default.
• W2471512091 hasConcept C33923547 @default.
• W2471512091 hasConcept C39432304 @default.
• W2471512091 hasConcept C39853841 @default.
• W2471512091 hasConcept C42683663 @default.
• W2471512091 hasConcept C49204034 @default.
• W2471512091 hasConcept C50522688 @default.
• W2471512091 hasConcept C54005896 @default.
• W2471512091 hasConceptScore W2471512091C105795698 @default.
• W2471512091 hasConceptScore W2471512091C111368507 @default.
• W2471512091 hasConceptScore W2471512091C127142870 @default.
• W2471512091 hasConceptScore W2471512091C127313418 @default.
• W2471512091 hasConceptScore W2471512091C132651083 @default.
• W2471512091 hasConceptScore W2471512091C144024400 @default.
• W2471512091 hasConceptScore W2471512091C149923435 @default.
• W2471512091 hasConceptScore W2471512091C153294291 @default.

• next