Title :
Effect of latent heat transfer on diurnal and annual prediction of temperature and radiobrightness of northern prairie
Author :
Liou, Yuei-An ; England, A.W.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
Prairie Biosphere-Atmosphere Interchange (BAI) fluxes of energy and moisture influence mid-continent atmospheric circulation. The energy fluxes of radiant heat, sensible heat, and latent heat are strongly coupled to soil temperature and moisture content, and through these to radiobrightness. The authors´ long term objective is to develop a BAI model that will reliably predict radiobrightness based upon radiation and weather forcing. The authors present an element of such a BAI model-an improved annual model for soil temperature. They use the bulk transfer approach to model sensible heat transfer and the Bowen ratio approach to model latent heat transfer. A finite element method is then used to track isotherms within the soil. From these isotherms they find surface temperature and temperature gradient-parameters needed in the computation of radiobrightness. The model predicts that soil temperatures are weakly dependent on latent heat transfer in frozen regions and strongly dependent in thawed regions
Keywords :
atmospheric techniques; atmospheric temperature; geophysical techniques; meteorology; microwave measurement; millimetre wave measurement; radiometry; remote sensing; soil; submillimetre wave measurement; terrestrial heat; BAI model; Bowen ratio; Prairie Biosphere-Atmosphere Interchange; United States USA; annual prediction; atmosphere; diurnal prediction; finite element method; geophysical measurement technique; geothermal; grassland vegetation; hydrology soil moisture; land surface; latent heat transfer; meteorology; microwave; moisture content; northern prairie; radiobrightness o; radiowave radiometry; remote sensing; terrestrial heat soil temperature; Biological system modeling; Energy resolution; Heat transfer; Moisture; Ocean temperature; Predictive models; Resistance heating; Soil; Temperature dependence; Temperature sensors;
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
DOI :
10.1109/IGARSS.1994.399058