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| Titel |
A Bayesian approach to estimate sensible and latent heat over vegetated land surface |
| VerfasserIn |
C. Tol, S. Tol, A. Verhoef, B. Su, J. Timmermans, C. Houldcroft, A. Gieske |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 13, no. 6 ; Nr. 13, no. 6 (2009-06-12), S.749-758 |
| Datensatznummer |
250011894
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| Publikation (Nr.) |
 copernicus.org/hess-13-749-2009.pdf |
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| Zusammenfassung |
| Sensible and latent heat fluxes are often calculated from bulk transfer
equations combined with the energy balance. For spatial estimates of these
fluxes, a combination of remotely sensed and standard meteorological data
from weather stations is used. The success of this approach depends on the
accuracy of the input data and on the accuracy of two variables in
particular: aerodynamic and surface conductance. This paper presents a
Bayesian approach to improve estimates of sensible and latent heat fluxes by
using a priori estimates of aerodynamic and surface conductance alongside
remote measurements of surface temperature. The method is validated for time
series of half-hourly measurements in a fully grown maize field, a vineyard
and a forest. It is shown that the Bayesian approach yields more accurate
estimates of sensible and latent heat flux than traditional methods. |
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