DOI: 10.1002/joc.5771
论文题名: Influence of spatial information resolution on the relation between elevation and temperature
作者: Joly D. ; Castel T. ; Pohl B. ; Richard Y.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 15 起始页码: 5677
结束页码: 5688
语种: 英语
英文关键词: correlation
; digital elevation model
; France
; lapse rate
; spatial resolution
; temperature
Scopus关键词: Climatology
; Correlation methods
; Earth atmosphere
; Temperature
; Coefficient of determination
; Digital elevation model
; Explanatory variables
; France
; Lapse rate
; Regional climate models
; Spatial informations
; Spatial resolution
; Climate models
; air temperature
; climate modeling
; correlation
; digital elevation model
; elevation
; regional climate
; spatial resolution
; topographic effect
; France
英文摘要: The association between elevation and temperature is analysed by simple linear correlations across several spatial scales. The minimum (tn) and maximum (tx) temperatures (response variables), expressed at two time scales (monthly and daily), are observed for 102 weather stations in east central France from 1980 to 2014 (12,784 days). Elevation (explanatory variable) is provided at 10 resolutions: 50, 100, 200, 500 m, 1, 2, 4, 8, 12, and 16 km. The coefficient of determination, R2, is used to determine which resolution gives the best results. The slope given by the regression is used to assess the drop in temperature per unit of elevation (temperature lapse rate [TLR]). In most situations, monthly and daily temperatures are optimally explained by the finest (50 m) resolution: the R2 is, respectively, 0.53 and 0.24 for tn and 0.78 and 0.39 for tx. The coarser resolutions produce results of much lower quality. However, in one circumstance (monthly mean of tn), the highest R2 value is obtained for the 4-km resolution, which is a meaningful result as current regional climate models now achieve similar resolutions. Both monthly and daily TLRs of tn and tx are, on average, slightly lower than −0.5 °C/100 m at 50-m resolution. The TLR decreases with resolution: it is only −0.23 °C/100 m for tn and −0.13 °C/100 m for tx at 16-km resolution. Other insightful results involve the influence of the topographical context, which shows some additional effect with that of elevation and which was quantified through partial correlations. © 2018 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116705
Appears in Collections: 气候减缓与适应
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作者单位: THéMA, CNRS and Université Bourgogne Franche-Comté, Besançon, France; Centre de Recherches de Climatologie/Biogéosciences, CNRS and Université Bourgogne Franche-Comté, Dijon, France
Recommended Citation:
Joly D.,Castel T.,Pohl B.,et al. Influence of spatial information resolution on the relation between elevation and temperature[J]. International Journal of Climatology,2018-01-01,38(15)