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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 5, issue 3
Geosci. Model Dev., 5, 869–886, 2012
https://doi.org/10.5194/gmd-5-869-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 5, 869–886, 2012
https://doi.org/10.5194/gmd-5-869-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 26 Jun 2012

Model description paper | 26 Jun 2012

Land surface Verification Toolkit (LVT) – a generalized framework for land surface model evaluation

S. V. Kumar1,2, C. D. Peters-Lidard2, J. Santanello2, K. Harrison2,3, Y. Liu2,3, and M. Shaw1,2,4 S. V. Kumar et al.
  • 1Science Applications International Corporation, Beltsville, MD, USA
  • 2Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
  • 3Earth System Science Interdisciplinary Center, College Park, MD, USA
  • 4Air Force Weather Agency, Offutt, NE, USA

Abstract. 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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