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| Titel |
Combining remotely sensed data using aggregation algorithms |
| VerfasserIn |
W. J. Shuttleworth |
| 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 ; 2, no. 2/3 ; Nr. 2, no. 2/3, S.149-158 |
| Datensatznummer |
250000344
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| Publikation (Nr.) |
 copernicus.org/hess-2-149-1998.pdf |
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| Zusammenfassung |
| This
paper describes a strategic approach for providing documentation of the surface energy
exchange for heterogeneous land surfaces via the simultaneous, four-dimensional
assimilation of several streams of remotely sensed data into a coupled
land surface-atmosphere model. The basic concepts and underlying theory behind this
proposed approach are presented with the intent that this will guide, facilitate, and
stimulate future research focused on its practical implementation when appropriate data
from the Earth Observing System (EOS) become available. The theoretical concepts that
underlie the approach are derived from relationships between the values of parameters
which control surface exchanges at pixel (or patch) scale and the area-average value of
equivalent parameters applicable at larger, grid scale. A three-step implementation method
is proposed which involves (a) estimating grid-average surface radiation fluxes from
appropriate remotely sensed data; (b) absorbing these radiation flux estimates into a
four-dimensional data assimilation model in which grid-average values of
vegetation-related parameters are calculated from pertinent remotely sensed data using the
equations that link pixel and grid scales; and (c) improving the
resulting estimate of the surface energy balance-again using scale-linking equations by
estimating the effect of soil-moisture availability, perhaps assuming that cloud-free
pixels are an unbiased subsample of all the pixels in the grid square. |
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