DOI: 10.1002/joc.5784
Scopus记录号: 2-s2.0-85053473651
论文题名: Analysis of spatio-temporal bias of Weather Research and Forecasting temperatures based on weather pattern classification
作者: Le Roux R. ; Katurji M. ; Zawar-Reza P. ; Quénol H. ; Sturman A.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2019
卷: 39, 期: 1 起始页码: 89
结束页码: 100
语种: 英语
英文关键词: spatio-temporal bias
; weather pattern
; Weather Research and Forecasting
Scopus关键词: Climate models
; Economics
; Meteorology
; Weather information services
; Atmospheric circulation
; Automatic weather stations
; Economic activities
; High resolution analysis
; Spatio temporal
; Weather patterns
; Weather research and forecasting
; Weather research and forecasting models
; Weather forecasting
; atmospheric circulation
; climate modeling
; research
; seasonal variation
; spatiotemporal analysis
; temperature effect
; weather forecasting
; Vitis
英文摘要: Viticulture is a key economic activity for many countries around the world, and temperature is one of the most important parameters in grapevine response. Many studies have shown that variability of temperature at the vineyard scale has a significant effect on physiological development of the grapevine and, ultimately, wine quality. The Weather Research and Forecasting (WRF) model has been widely used to dynamically downscale from the synoptic and larger scale atmospheric circulation in order to provide a high-resolution analysis of weather and climate in regions of complex terrain. The temperature bias of the WRF model in a vineyard region is analysed using 18 automatic weather stations in order to understand the spatial variation in the bias due to local conditions. The WRF-predicted temperatures exhibited an average bias that was relatively consistent between measurement sites, although the consistency of this bias was found to vary in relation to weather type, time of day and season. These factors therefore need to be taken into account in order to properly correct temperatures produced by the WRF model. © 2018 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116653
Appears in Collections: 全球变化的国际研究计划
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作者单位: LETG, UMR 6554 CNRS, Université de Rennes 2, Rennes, France; Centre for Atmospheric Research, University of Canterbury, Christchurch, New Zealand
Recommended Citation:
Le Roux R.,Katurji M.,Zawar-Reza P.,et al. Analysis of spatio-temporal bias of Weather Research and Forecasting temperatures based on weather pattern classification[J]. International Journal of Climatology,2019-01-01,39(1)