DOI: 10.1002/2017JD026880
论文题名: A spatiotemporal analysis of the relationship between near-surface air temperature and satellite land surface temperatures using 17 years of data from the ATSR series
作者: Good E.J. ; Ghent D.J. ; Bulgin C.E. ; Remedios J.J.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2017
语种: 英语
英文关键词: Climate
; CRUTEM4
; GlobTemperature
; LST
; Near-surface air temperature
; Skin-air temperature difference
英文摘要: The relationship between satellite land surface temperature (LST) and ground-based observations of 2 m air temperature (T2m) is characterized in space and time using >17 years of data. The analysis uses a new monthly LST climate data record (CDR) based on the Along-Track Scanning Radiometer series, which has been produced within the European Space Agency GlobTemperature project (http://www.globtemperature.info/). Global LST-T2m differences are analyzed with respect to location, land cover, vegetation fraction, and elevation, all of which are found to be important influencing factors. LSTnight (~10 P.M. local solar time, clear-sky only) is found to be closely coupled with minimum T2m (Tmin, all-sky) and the two temperatures generally consistent to within ±5°C (global median LSTnight-Tmin = 1.8°C, interquartile range = 3.8°C). The LSTday (~10 A.M. local solar time, clear-sky only)-maximum T2m (Tmax, all-sky) variability is higher (global median LSTday-Tmax = -0.1°C, interquartile range = 8.1°C) because LST is strongly influenced by insolation and surface regime. Correlations for both temperature pairs are typically >0.9 outside of the tropics. The monthly global and regional anomaly time series of LST and T2m-which are completely independent data sets-compare remarkably well. The correlation between the data sets is 0.9 for the globe with 90% of the CDR anomalies falling within the T2m 95% confidence limits. The results presented in this study present a justification for increasing use of satellite LST data in climate and weather science, both as an independent variable, and to augment T2m data acquired at meteorological stations. © 2017 American Geophysical Union and Crown copyright. This article is published with the permission of the Controller of HMSO and the Queen's Printer for Scotland. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62770
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Met Office Hadley Centre Exeter UK; National Centre for Earth Observation, Department of Physics and Astronomy University of Leicester Leicester UK; Department of Meteorology University of Reading Reading UK
Recommended Citation:
Good E.J.,Ghent D.J.,Bulgin C.E.,et al. A spatiotemporal analysis of the relationship between near-surface air temperature and satellite land surface temperatures using 17 years of data from the ATSR series[J]. Journal of Geophysical Research: Atmospheres,2017-01-01