DOI: 10.1175/JCLI-D-17-0089.1
Scopus记录号: 2-s2.0-85040908290
论文题名: A comparison of daily temperature-averaging methods: Spatial variability and recent change for the CONUS
作者: Bernhardt J. ; Carleton A.M. ; LaMagna C.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 3 起始页码: 979
结束页码: 996
语种: 英语
英文关键词: Automatic weather stations
; Climate records
; Climatology
; Diurnal effects
; Geographic information systems (GIS)
; Surface observations
Scopus关键词: Climatology
; Geographic information systems
; Weather information services
; Automatic weather stations
; Average air temperature
; Climate record
; Diurnal effects
; Diurnal temperatures
; Minimum temperatures
; Statistically significant difference
; Surface observation
; Climate change
; climate change
; climatology
; comparative study
; GIS
; spatiotemporal analysis
; temperature gradient
; trend analysis
; weather station
; United States
英文摘要: Traditionally, the daily average air temperature at a weather station is computed by taking the mean of two values, the maximum temperature (Tmax) and the minimum temperature (Tmin), over a 24-h period. These values form the basis for numerous studies of long-term climatologies (e.g., 30-yr normals) and recent temperature trends and changes. However, many first-order weather stations-such as those at airports-also record hourly temperature data. Using an average of the 24 hourly temperature readings to compute daily average temperature has been shown to provide a more precise and representative estimate of a given day's temperature. This study assesses the spatial variability of the differences in these two methods of daily temperature averaging [i.e., (Tmax + Tmin)/2; average of 24 hourly temperature values] for 215 first-order weather stations across the conterminous United States (CONUS) over the 30-yr period 1981-2010. A statistically significant difference is shown between the two methods, as well as consistent overestimation of temperature by the traditional method [(Tmax + Tmin)/2], particularly in southern and coastal portions of the CONUS. The explanation for the long-term difference between the two methods is the underlying assumption for the twice-daily method that the diurnal curve of temperature is symmetrical. Moreover, this paper demonstrates a spatially coherent pattern in the difference compared to the most recent part of the temperature record (2001-15). The spatial and temporal differences shown have implications for assessments of the physical factors influencing the diurnal temperature curve, as well as the exact magnitude of contemporary climate change. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111684
Appears in Collections: 气候减缓与适应
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作者单位: Department of Geology, Environment and Sustainability, Hofstra University, Hempstead, NY, United States; Department of Geography, The Pennsylvania State University, University Park, PA, United States; Polar Center, The Pennsylvania State University, University Park, PA, United States; Department of Geosciences, The Pennsylvania State University, University Park, PA, United States
Recommended Citation:
Bernhardt J.,Carleton A.M.,LaMagna C.. A comparison of daily temperature-averaging methods: Spatial variability and recent change for the CONUS[J]. Journal of Climate,2018-01-01,31(3)