DocumentCode :
291380
Title :
An evaluation of BATS as a basis for a radiobrightness model for northern prairie
Author :
Judge, Jasmeet ; Galantowicz, J.F. ; England, A.W.
Author_Institution :
Radiation Lab., Michigan Univ., Ann Arbor, MI, USA
Volume :
1
fYear :
1994
fDate :
8-12 Aug 1994
Firstpage :
135
Abstract :
Biosphere models provide estimates of energy and momentum fluxes at the land atmosphere interface. In this paper one such model, BATS, was evaluated for its sensitivity of predicted surface soil temperatures to soil moisture and its ability to predict foliage temperatures for prairie grassland given insolation, soil moisture and other weather forcings. These weather forcings and observed foliage temperatures were provided by the authors´ first Radiobrightness Energy Balance Experiment (REBEX 1). They observed that the increase in soil moisture decreased the soil temperature and the amplitude of the diurnal variation. While BATS predicted diurnal cycles for foliage temperatures that were close to observed values, it overestimated the maximum and underestimated the minimum foliage temperatures by as much as 10 K. Since the effective emissivity of prairie grass at SSM/I frequencies is generally greater than 0.95, these differences would be reflected in similar differences between predicted and observed radiobrightnesses if BATS were the basis of a radiobrightness model
Keywords :
atmospheric boundary layer; atmospheric techniques; atmospheric temperature; geophysical techniques; microwave measurement; millimetre wave measurement; radiometry; terrestrial heat; BATS; REBEX; Radiobrightness Energy Balance Experiment; United States USA land surface; boundary layer; diurnal variation; foliage temperature; geophysical measurement technique; grassland; land atmosphere interface; meteorology; microwave radiometry; model; northern prairie; radiobrightness model; soil moisture; soil temperature; terrestrial heat geothermal; vegetation remote sensing; Atmosphere; Atmospheric modeling; Biosphere; Frequency; Land surface temperature; Predictive models; Soil moisture; Surface soil; Temperature sensors; Weather forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
Type :
conf
DOI :
10.1109/IGARSS.1994.399060
Filename :
399060
Link To Document :
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