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| Titel |
Land surface Verification Toolkit (LVT) – a generalized framework for land surface model evaluation |
| VerfasserIn |
S. V. Kumar, C. D. Peters-Lidard, J. Santanello, K. Harrison, Y. Liu, M. Shaw |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 5, no. 3 ; Nr. 5, no. 3 (2012-06-26), S.869-886 |
| Datensatznummer |
250002622
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| Publikation (Nr.) |
 copernicus.org/gmd-5-869-2012.pdf |
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| Zusammenfassung |
| Model evaluation and verification are key in improving the usage and
applicability of simulation models for real-world applications. In this
article, the development and capabilities of a formal system for land surface
model evaluation called the Land surface Verification Toolkit (LVT) is
described. LVT is designed to provide an integrated environment for
systematic land model evaluation and facilitates a range of verification
approaches and analysis capabilities. LVT operates across multiple temporal
and spatial scales and employs a large suite of in-situ,
remotely sensed and other model and reanalysis datasets
in their native formats. In addition to the traditional accuracy-based
measures, LVT also includes uncertainty and ensemble diagnostics, information
theory measures, spatial similarity metrics and scale decomposition
techniques that provide novel ways for performing diagnostic model
evaluations. Though LVT was originally designed to support the land surface
modeling and data assimilation framework known as the Land Information System
(LIS), it supports hydrological data products from non-LIS environments as
well. In addition, the analysis of diagnostics from various computational
subsystems of LIS including data assimilation, optimization and uncertainty
estimation are supported within LVT. Together, LIS and LVT provide a robust
end-to-end environment for enabling the concepts of model data fusion for
hydrological applications. The evolving capabilities of LVT framework are
expected to facilitate rapid model evaluation efforts and aid the definition
and refinement of formal evaluation procedures for the land surface modeling
community. |
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