Title: Evaluation of Spatially Distributed Ground‐Based and Remotely Sensed Data to Estimate Spatially Distributed Sensible Heat Fluxes
Abstract: The First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE) was initiated partly to improve our ability to model spatial distributions of surface‐atmospheric fluxes over hilly prairie. Monin‐Obukhov similarity was used to calculate sensible heat fluxes ( H c ) at an array of ten FIFE flux measurement sites for comparison with measured sensible heat fluxes ( H m ). Data were collected within the dynamic sublayer on a clear morning when there was strong solar heating of the surface, winds in excess of 5 m s −1 , and uniformly wet soil conditions. The sensitivity of correlations between H c and H m to spatial variability of air ( T a ) and aircraft‐based (thermal infrared multispectral scanner (TIMS)) remotely sensed surface ( T r ) temperatures, wind speed ) u ), and an atmospheric stability parameterization (ψ h ) was examined. H c was found to depend on the spatial variability of T r and u but not on T a and ψ h . Furthermore, approximately half the discrepancy between H c and H m may be attributed to uncertainty in H m .
Publication Year: 1996
Publication Date: 1996-08-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 14
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