作者: William P. Kustas , Rajat Bindlish , Andrew N. French , Tom J. Schmugge
DOI: 10.1029/2002WR001361
关键词:
摘要: [1] A Two-Source (soil + vegetation) Energy Balance (TSEB) modeling scheme has been developed to use either microwave-derived near-surface soil moisture (TSEBSM) or radiometric surface temperature (TSEBTR) as the key remotely sensed boundary condition for computing spatially distributed heat fluxes. Output of fluxes from both two-source schemes have validated using tower- and aircraft-based flux observations. However, these observations rarely provide necessary spatial information evaluating patterns produced by based models. By collecting microwave concurrently during Southern Great Plains 1997 (SGP97) experiment conducted in Oklahoma, USA, estimates two were compared on a pixel-by-pixel basis. This provided unique opportunity consistency Comparisons with helped elucidate factors contributing discrepancies between TSEBSM TSEBTR output, because computes an effective temperature. Results comparisons simulated versus observed temperatures suggested revisions parameterizations are needed better constrain predictions vegetation. When made, accommodates wider range environmental conditions. The involve adjustment evaporation algorithm differential drying layer adopting Priestley–Taylor coefficient estimated model. It was also found that areas high fractional vegetative cover conditions, energy partitioning sensible latent at (expressed terms Bowen ratio, BOS), uncorrelated moisture. contributed inconsistencies BOS dry down period. A ∼20% change maximum vegetation remote-sensing-based is shown dramatically impact values densely vegetated while having little effect TSEBSM-derived values. result suggests under certain balance over may be tenuous scheme.