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DOI | 10.1175/JCLI-D-17-0089.1 |
A Comparison of Daily Temperature-Averaging Methods: Spatial Variability and Recent Change for the CONUS | |
Bernhardt, Jase1; Carleton, Andrew M.2,3; LaMagna, Chris4 | |
2018-02-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2018 |
卷号 | 31期号:3页码:979-996 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
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. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000425166100004 |
WOS关键词 | NORTH-AMERICAN MONSOON ; UNITED-STATES ; LAND ; INTERPOLATION ; PRECIPITATION ; WEATHER ; MAXIMUM ; RANGE ; ASOS ; TIME |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20215 |
专题 | 气候变化 |
作者单位 | 1.Hofstra Univ, Dept Geol Environm & Sustainabil, Hempstead, NY 11550 USA; 2.Penn State Univ, Dept Geog, University Pk, PA 16802 USA; 3.Penn State Univ, Polar Ctr, University Pk, PA 16802 USA; 4.Penn State Univ, Dept Geosci, University Pk, PA 16802 USA |
推荐引用方式 GB/T 7714 | Bernhardt, Jase,Carleton, Andrew M.,LaMagna, Chris. A Comparison of Daily Temperature-Averaging Methods: Spatial Variability and Recent Change for the CONUS[J]. JOURNAL OF CLIMATE,2018,31(3):979-996. |
APA | Bernhardt, Jase,Carleton, Andrew M.,&LaMagna, Chris.(2018).A Comparison of Daily Temperature-Averaging Methods: Spatial Variability and Recent Change for the CONUS.JOURNAL OF CLIMATE,31(3),979-996. |
MLA | Bernhardt, Jase,et al."A Comparison of Daily Temperature-Averaging Methods: Spatial Variability and Recent Change for the CONUS".JOURNAL OF CLIMATE 31.3(2018):979-996. |
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