Franks, Stewart W. and Beven, Keith J. (1999) Conditioning a multiple patch SVAT model using uncertain time-space estimates of latent heat fluxes as inferred from remotely-sensed data. Water Resources Research, 35 (9). pp. 2751-2761. ISSN 0043-1397Full text not available from this repository.
It has been shown that the calibration of soil vegetation-atmosphere transfer (SVAT) models is inherently uncertain, even when data are available over a relatively limited homogeneous area. The representation of subgrid-scale variability of fluxes is not easily achieved because of the lack of information available about appropriate parameter distributions and their covariance. However, remote sensing of thermal surface responses offers the possibility of obtaining distributed estimates of surface fluxes. In this paper, multiple Landsat-Thematic Mapper (TM) images of the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE) site are used to derive uncertain estimates of the land surface–atmosphere sensible and latent fluxes over a period of time. Employing a framework based on fuzzy set theory, the parameter space representing all feasible parameterizations of a SVAT model are examined with respect to these image estimates. Areal weightings for a number of functional types of flux behavior are then derived through which the temporal evolution of surface fluxes can be estimated.
|Journal or Publication Title:||Water Resources Research|
|Subjects:||G Geography. Anthropology. Recreation > GE Environmental Sciences|
|Departments:||Faculty of Arts & Social Sciences > Politics & International Relations (Merged into PPR 2010-08-01)|
Faculty of Science and Technology > Lancaster Environment Centre
|Deposited On:||04 Feb 2009 14:00|
|Last Modified:||01 May 2017 01:19|
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