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| Titel |
Technical Note: Calibration and validation of geophysical observation models |
| VerfasserIn |
M. S. Salama, R. Velde, H. J. Woerd, J. C. Kromkamp, C. J. M. Philippart, A. T. Joseph, P. E. O'Neill, R. H. Lang, T. Gish, P. J. Werdell, Z. Su |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 9, no. 6 ; Nr. 9, no. 6 (2012-06-18), S.2195-2201 |
| Datensatznummer |
250007126
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| Publikation (Nr.) |
 copernicus.org/bg-9-2195-2012.pdf |
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| Zusammenfassung |
| We present a method to calibrate and validate observational
models that interrelate remotely sensed energy fluxes to
geophysical variables of land and water surfaces. Coincident
sets of remote sensing observation of visible and microwave
radiations and geophysical data are assembled and subdivided
into calibration (Cal) and validation (Val) data sets. Each
Cal/Val pair is used to derive the coefficients (from the Cal
set) and the accuracy (from the Val set) of the observation
model. Combining the results from all Cal/Val pairs provides
probability distributions of the model coefficients and model
errors. The method is generic and demonstrated using
comprehensive matchup sets from two very different
disciplines: soil moisture and water quality. The results
demonstrate that the method provides robust model coefficients
and quantitative measure of the model uncertainty. This
approach can be adopted for the calibration/validation of
satellite products of land and water surfaces, and the
resulting uncertainty can be used as input to data
assimilation schemes. |
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