scholarly journals Daytime sensible heat flux estimation over heterogeneous surfaces using multitemporal land-surface temperature observations

2016 ◽  
Vol 52 (5) ◽  
pp. 3457-3476 ◽  
Author(s):  
F. Castellví ◽  
C. Cammalleri ◽  
G. Ciraolo ◽  
A. Maltese ◽  
F. Rossi
Keyword(s):  
Heat Flux ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Sensible Heat Flux ◽  
Sensible Heat ◽  
Heterogeneous Surfaces ◽  
Heat Flux Estimation ◽  
Flux Estimation ◽  
Temperature Observations

scholarly journals Evaluation of functional properties of various types of vegetation cover using remotely sensed data analysis

2010 ◽  
Vol 4 (Special Issue 2) ◽  
pp. S49-S58 ◽  
Author(s):  
J. Brom ◽  
J. Procházka ◽  
A. Rejšková
Keyword(s):  
Heat Flux ◽  
Surface Temperature ◽  
Latent Heat ◽  
Latent Heat Flux ◽  
Land Surface ◽  
Hydrological Cycle ◽  
Sensible Heat Flux ◽  
Sensible Heat ◽  
Remotely Sensed Data ◽  
Mean Values

The dissipation of solar energy and consequently the formation of the hydrological cycle are largely dependent on the structural and optical characteristics of the land surface. In our study, we selected seven units with different types of vegetation in the Mlýnský and Horský catchments (South-Eastern part of the Šumava Mountains, Czech Republic) for the assessment of the differences in their functioning expressed through the surface temperature, humidity, and energy dissipation. For our analyses, we used Landsat 5 TM satellite data from June 25<SUP>th</SUP>, 2008. The results showed that the microclimatic characteristics and energy fluxes varied in different units according to their vegetation characteristics. A cluster analysis of the mean values was used to divide the vegetation units into groups according to their functional characteristics. The mown meadows were characterised by the highest surface temperature and sensible heat flux and the lowest humidity and latent heat flux. On the contrary, the lowest surface temperature and sensible heat flux and the highest humidity and latent heat flux were found in the forest. Our results showed that the climatic and energetic features of the land surface are related to the type of vegetation. We state that the spatial distribution of different vegetation units and the amount of biomass are crucial variables influencing the functioning of the landscape.

scholarly journals Sensible heat flux estimation by flux variance and half-order time derivative methods

2001 ◽  
Vol 37 (9) ◽  
pp. 2333-2343 ◽  
Author(s):  
Karen H. Wesson ◽  
Gabriel Katul ◽  
Chun-Ta Lai
Keyword(s):  
Heat Flux ◽  
Time Derivative ◽  
Sensible Heat Flux ◽  
Sensible Heat ◽  
Heat Flux Estimation ◽  
Flux Estimation

scholarly journals Particular uncertainties encountered in using a pre-packaged SEBS model to derive evapotranspiration in a heterogeneous study area in South Africa

2011 ◽  
Vol 15 (1) ◽  
pp. 295-310 ◽  
Author(s):  
L. A. Gibson ◽  
Z. Münch ◽  
J. Engelbrecht
Keyword(s):  
Temperature Gradient ◽  
Surface Temperature ◽  
Air Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Sensible Heat Flux ◽  
Sensible Heat ◽  
Vegetation Canopy ◽  
Displacement Height ◽  
Sebs Model

Abstract. The focus of this paper is on the pre-packaged version of SEBS in ILWIS and the sensitivity of SEBS to some parameters over which the user has some control when using this version of the model, in order to make informed choices to limit uncertainties. The sensitivities of SEBS to input parameters are related to daily ET rather than energy flux results since this is of interest to water managers and other users of the results of the SEBS model. This paper describes some of the uncertainties introduced by the sensitivity of the SEBS model to (a) land surface temperature and air temperature gradient, (b) the choice of fractional vegetation formula, (c) displacement height and the height at which wind speed is measured, and (d) study area heterogeneity. It was shown that SEBS is sensitive to land surface temperature and air temperature gradient and the magnitude of this sensitivity depended on the land cover and whether or not the wet-limit had been reached. The choice of fractional vegetation cover formula was shown to influence the daily ET results by up to 0.7 mm. It was shown that the height of the vegetation canopy should be considered in relation to the weather station reference height to avoid the sensible heat flux from becoming unsolvable due to a negative ln calculation. Finally the study area was shown to be heterogeneous although the resolution at which fluxes were calculated did not significantly impact on energy partitioning results. The differences in the upscaling from evaporative fraction to daily ET at varying resolutions observed implies that the heterogeneity may play the biggest role in the upscaling and the influence of albedo on this calculation should be studied.

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