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

Xu, Zhongfeng; Han, Ying; Fu, Congbin

doi:https://doi.org/10.5194/gmd-10-3805-2017

Articles | Volume 10, issue 10

https://doi.org/10.5194/gmd-10-3805-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-10-3805-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 10

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, Ying Han, and Congbin Fu

Supplement

https://doi.org/10.5194/gmd-10-3805-2017-supplement

Data sets

GPCC Full Data Reanalysis Version 6.0 at 0.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data Udo Schneider, Andreas Becker, Peter Finger, Anja Meyer-Christoffer, Bruno Rudolf, and Markus Ziese https://doi.org/10.5676/DWD_GPCC/FD_M_V7_050

Short summary

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.