Factors Contributing to the Spatial Variability of Satellite Estimates of Diurnal Temperature Range in the United States

被引:7
作者
Sun, Donglian [1 ]
Pinker, Rachel [2 ]
机构
[1] George Mason Univ, Dept Geog & GeoInformat Sci, Fairfax, VA 22030 USA
[2] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA
关键词
Aerosols; Diurnal temperature range (DTR); evapotranspiration (ET); precipitation; radiative forcing effect of water vapor (WV); soil moisture (SM); vegetation; WV; LAND-SURFACE TEMPERATURE; SOIL-MOISTURE; COVER CHANGE; VEGETATION; CLIMATE; TRENDS; IMPACT; ATTRIBUTION; MAXIMUM; MODIS;
D O I
10.1109/LGRS.2014.2298371
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Diurnal temperature range (DTR) is an important index of climate change that can be affected by many environmental factors. The impact of each of these factors on DTR is still much debated. We show that the cooling effect due to transpiration from dense vegetation on land surface temperature (LST) is more evident during daytime than nighttime, which makes the difference between daily maximum and minimum LSTs (LSTmax - LSTmin) or DTR decrease with vegetation; this is seen only during the growing season. DTR drops with soil moisture (SM) for all seasons. The effect of water vapor (WV) radiative forcing makes DTRs decrease during the warm seasons (summer and fall) and may have affected most significantly the dip of DTR during summer over the southern two-thirds of the eastern United States. During summer, the effects of vegetation and WV on the decrease in DTR are more significant than other factors such as SM and aerosols.
引用
收藏
页码:1524 / 1528
页数:5
相关论文
共 38 条
[31]  
Trenberth K. E., NATURE, V423, P528
[32]   An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data [J].
Tucker, CJ ;
Pinzon, JE ;
Brown, ME ;
Slayback, DA ;
Pak, EW ;
Mahoney, R ;
Vermote, EF ;
El Saleous, N .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2005, 26 (20) :4485-4498
[33]   Analysis of diurnal and seasonal cycles and trends in climatic records with arbitrary observation times [J].
Vinnikov, KY ;
Robock, A ;
Grody, NC ;
Basist, A .
GEOPHYSICAL RESEARCH LETTERS, 2004, 31 (06)
[34]   Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA [J].
Wan, Z ;
Wang, P ;
Li, X .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (01) :61-72
[35]  
WILLMOTT CJ, 1985, J CLIMATOL, V5, P589, DOI 10.1002/joc.3370050602
[36]   The regional scale impact of land cover change simulated with a climate model [J].
Zhao, M ;
Pitman, AJ .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2002, 22 (03) :271-290
[37]   The relative impact of regional scale land cover change and increasing CO2 over China [J].
Zhao, M ;
Pitman, AJ .
ADVANCES IN ATMOSPHERIC SCIENCES, 2005, 22 (01) :58-68
[38]   Detection and attribution of anthropogenic forcing to diurnal temperature range changes from 1950 to 1999: comparing multi-model simulations with observations [J].
Zhou, Liming ;
Dickinson, Robert E. ;
Dai, Aiguo ;
Dirmeyer, Paul .
CLIMATE DYNAMICS, 2010, 35 (7-8) :1289-1307