DocumentCode
1158574
Title
A thermal exitance and energy balance model for forest canopies
Author
Smith, James A. ; Goltz, S.M.
Author_Institution
Lab. for Terrestrial Phys., NASA Goddard Space Flight Center, Greenbelt, MD, USA
Volume
32
Issue
5
fYear
1994
fDate
9/1/1994 12:00:00 AM
Firstpage
1060
Lastpage
1066
Abstract
A steady-state thermal radiance model to compute thermal exitance and energy balance within forest canopies is described. The model treats fully leafed canopies as discrete ensembles of leaves partitioned into slope-angle and height classes. Short-wave energy flux absorbed within the canopy is estimated by solving simplified radiosity equations. Sensible heat exchange is estimated using a logarithmic wind profile above the canopy and a modified exponential profile within the canopy. The latent heat boundary layer resistance is estimated from site-specific measurements summarizing the effects of solar irradiance, air temperature, and vapor pressure deficit on stomatal conductance. Example comparisons for a dense spruce-fir forest study site in central Maine are given. For clear days the resulting root mean square error in modeled versus measured canopy temperatures was 1.2°C. Corresponding errors in latent and sensible heat flux energy budget terms were 30 and 32 W/m-2, respectively. For partly cloudy days the root mean square error in predicted temperature was 1.0°C and corresponding errors in latent and sensible heat were 40 and 110 W/m-2
Keywords
atmospheric boundary layer; atmospheric radiation; atmospheric temperature; forestry; meteorology; IR thermal radiation; Maine; USA United States AD 1989; atmosphere; boundary layer; discrete ensembles; energy balance model; forest canopy; fully leafed canopy; latent heat boundary layer resistance; logarithmic wind profile; radiative transfer; radiosity equations; sensible heat exchange; sensible heat flux; short wave energy flux; spruce fir; steady state model; stomatal conductance; temperature; thermal exitance; vegetation; Electrical resistance measurement; Equations; NASA; Remote sensing; Root mean square; Senior members; Soil; Steady-state; Temperature measurement; Temperature sensors;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.312894
Filename
312894
Link To Document