Using Land Cover, Population, and Night Light Data for Assessing Local Temperature Differences in Mainz, Germany
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Jenny Linden
- Jan Esper
- Bjorn Holmer
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000351226200009&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1175/JAMC-D-14-0124.1
- eISSN
- 1558-8432
- Externe Identifier
- Clarivate Analytics Document Solution ID: CD6UV
- ISSN
- 1558-8424
- Ausgabe der Veröffentlichung
- 3
- Zeitschrift
- JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
- Paginierung
- 658 - 670
- Datum der Veröffentlichung
- 2015
- Status
- Published
- Titel
- Using Land Cover, Population, and Night Light Data for Assessing Local Temperature Differences in Mainz, Germany
- Sub types
- Article
- Ausgabe der Zeitschrift
- 54
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <jats:title>Abstract</jats:title><jats:p>Urban areas are believed to affect temperature readings, thereby biasing the estimation of twentieth-century warming at regional to global scales. The precise effect of changes in the surroundings of meteorological stations, particularly gradual changes due to urban growth, is difficult to determine. In this paper, data from 10 temperature stations within 15 km of the city of Mainz (Germany) over a period of 842 days are examined to assess the connection between temperature and the properties of the station surroundings, considering (i) built/paved area surface coverage, (ii) population, and (iii) night light intensity. These properties were examined in circles with increasing radii from the stations to identify the most influential source areas. Daily maximum temperatures <jats:italic>T</jats:italic><jats:sub>max</jats:sub>, as well as daily average temperatures, are shown to be significantly influenced by elevation and were adjusted before the analysis of anthropogenic surroundings, whereas daily minimum temperatures <jats:italic>T</jats:italic><jats:sub>min</jats:sub> were not. Significant correlations (<jats:italic>p</jats:italic> < 0.1) between temperature and all examined properties of station surroundings up to 1000 m are found, but the effects are diminished at larger distance. Other factors, such as slope and topographic position (e.g., hollows), were important, especially to <jats:italic>T</jats:italic><jats:sub>min</jats:sub>. Therefore, properties of station surroundings up to 1000 m from the stations are most suitable for the assessment of potential urban influence on <jats:italic>T</jats:italic><jats:sub>max</jats:sub> and <jats:italic>T</jats:italic><jats:sub>min</jats:sub> in the temperate zone of central Europe.</jats:p>
- Autoren
- Jenny Lindén
- Jan Esper
- Björn Holmer
- DOI
- 10.1175/jamc-d-14-0124.1
- eISSN
- 1558-8432
- ISSN
- 1558-8424
- Ausgabe der Veröffentlichung
- 3
- Zeitschrift
- Journal of Applied Meteorology and Climatology
- Paginierung
- 658 - 670
- Datum der Veröffentlichung
- 2015
- Status
- Published
- Herausgeber
- American Meteorological Society
- Herausgeber URL
- http://dx.doi.org/10.1175/jamc-d-14-0124.1
- Datum der Datenerfassung
- 2020
- Titel
- Using Land Cover, Population, and Night Light Data for Assessing Local Temperature Differences in Mainz, Germany
- Ausgabe der Zeitschrift
- 54
Datenquelle: Crossref
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