Evaluation of the Relationship between Air and Land Surface Temperature under Clear- and Cloudy-Sky Conditions

被引:157
作者
Gallo, Kevin [1 ]
Hale, Robert [2 ]
Tarpley, Dan [3 ]
Yu, Yunyue [1 ]
机构
[1] NOAA, NESDIS Ctr Satellite Applicat & Res, Camp Springs, MD USA
[2] Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA
[3] Short & Associates Inc, Chevy Chase, MD USA
关键词
SOLAR;
D O I
10.1175/2010JAMC2460.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Clear and cloudy daytime comparisons of land surface temperature (LST) and air temperature (Tair) were made for 14 stations included in the U. S. Climate Reference Network (USCRN) of stations from observations made from 2003 through 2008. Generally, LST was greater than Tair for both the clear and cloudy conditions; however, the differences between LST and Tair were significantly less for the cloudy-sky conditions. In addition, the relationships between LST and Tair displayed less variability under the cloudy-sky conditions than under clear-sky conditions. Wind speed, time of the observation of Tair and LST, season, the occurrence of precipitation at the time of observation, and normalized difference vegetation index values were all considered in the evaluation of the relationship between Tair and LST. Mean differences between LST and Tair of less than 2 degrees C were observed under cloudy conditions for the stations, as compared with a minimum difference of greater than 2 degrees C(and as great as 7+degrees C) for the clear-sky conditions. Under cloudy conditions, Tair alone explained over 94%-and as great as 98%-of the variance observed in LST for the stations included in this analysis, as compared with a range of 81%-93% for clear-sky conditions. Because of the relatively homogeneous land surface characteristics encouraged in the immediate vicinity of USCRN stations, and potential regional differences in surface features that might influence the observed relationships, additional analyses of the relationships between LST and Tair for additional regions and land surface conditions are recommended.
引用
收藏
页码:767 / 775
页数:9
相关论文
共 26 条
[1]   A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 2. Surface moisture climatology [J].
Anderson, Martha C. ;
Norman, John M. ;
Mecikalski, John R. ;
Otkin, Jason A. ;
Kustas, William P. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2007, 112 (D11)
[2]   Estimating surface air temperatures, from Meteosat land surface temperatures, using an empirical solar zenith angle model [J].
Cresswell, MP ;
Morse, AP ;
Thomson, MC ;
Connor, SJ .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1999, 20 (06) :1125-1132
[3]   Evaluation of temperature differences for paired stations of the US climate reference network [J].
Gallo, KP .
JOURNAL OF CLIMATE, 2005, 18 (10) :1629-1636
[4]   Characterization of variability at in situ locations for calibration/validation of satellite-derived land surface temperature data [J].
Hale, Robert C. ;
Gallo, Kevin P. ;
Tarpley, Dan ;
Yu, Yunyue .
REMOTE SENSING LETTERS, 2011, 2 (01) :41-50
[5]   CANOPY TEMPERATURE AS A CROP WATER-STRESS INDICATOR [J].
JACKSON, RD ;
IDSO, SB ;
REGINATO, RJ ;
PINTER, PJ .
WATER RESOURCES RESEARCH, 1981, 17 (04) :1133-1138
[6]   Analysis of land skin temperature using AVHRR observations [J].
Jin, M .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2004, 85 (04) :587-+
[7]   Use of NDVI and Land Surface Temperature for Drought Assessment: Merits and Limitations [J].
Karnieli, Arnon ;
Agam, Nurit ;
Pinker, Rachel T. ;
Anderson, Martha ;
Imhoff, Marc L. ;
Gutman, Garik G. ;
Panov, Natalya ;
Goldberg, Alexander .
JOURNAL OF CLIMATE, 2010, 23 (03) :618-633
[8]  
MEYERS TP, 1983, J CLIM APPL METEOROL, V22, P537, DOI 10.1175/1520-0450(1983)022<0537:PDIWHC>2.0.CO
[9]  
2
[10]   ESTIMATING CROP WATER-DEFICIT USING THE RELATION BETWEEN SURFACE-AIR TEMPERATURE AND SPECTRAL VEGETATION INDEX [J].
MORAN, MS ;
CLARKE, TR ;
INOUE, Y ;
VIDAL, A .
REMOTE SENSING OF ENVIRONMENT, 1994, 49 (03) :246-263