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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 10
Geosci. Model Dev., 10, 3805–3820, 2017
https://doi.org/10.5194/gmd-10-3805-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 10, 3805–3820, 2017
https://doi.org/10.5194/gmd-10-3805-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Methods for assessment of models 23 Oct 2017

Methods for assessment of models | 23 Oct 2017

Multivariable integrated evaluation of model performance with the vector field evaluation diagram

Zhongfeng Xu et al.
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Chen, H. and Sun, J.: Assessing model performance of climate extremes in China: an intercomparison between CMIP5 and CMIP3, Climatic Change, 129, 197–211, 2015.
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Fan, Y. and van den Dool, H.: A global monthly land surface air temperature analysis for 1948–present, J. Geophys. Res., 113, D01103, https://doi.org/10.1029/2007JD008470, 2008.
Fu, C., Wang, S., Xiong, Z., Gutowski, W. J., Lee, D.-K., McGregor, J. L., Sato, Y., Kato, H., Kim, J.-W., and Suh, M.-S.: Regional Climate Model Intercomparison Project for Asia, B. Am. Meteorol. Soc., 86, 257–266, 2005.
Giorgi, F. and Gutowski, W. J.: Regional Dynamical Downscaling and the CORDEX Initiative, Annu. Rev. Environ. Res., 40, 467–490, 2015.
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The paper develops a multivariable integrated evaluation (MVIE) method for evaluating the overall performance of a climate model in simulating multiple fields. MVIE takes multiple statistics of multiple variables into account and is expected to provide a more accurate and comprehensive evaluation of model performance. Moreover, a multivariable integrated evaluation index (MIEI) is also developed to concisely summarize model performance and facilitate multi-model intercomparison and ranking.
The paper develops a multivariable integrated evaluation (MVIE) method for evaluating the...
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