Articles | Volume 9, issue 12
https://doi.org/10.5194/gmd-9-4365-2016
https://doi.org/10.5194/gmd-9-4365-2016
Methods for assessment of models
 | 
06 Dec 2016
Methods for assessment of models |  | 06 Dec 2016

A diagram for evaluating multiple aspects of model performance in simulating vector fields

Zhongfeng Xu, Zhaolu Hou, Ying Han, and Weidong Guo

Related authors

An improved multivariable integrated evaluation method and tool (MVIETool) v1.0 for multimodel intercomparison
Meng-Zhuo Zhang, Zhongfeng Xu, Ying Han, and Weidong Guo
Geosci. Model Dev., 14, 3079–3094, https://doi.org/10.5194/gmd-14-3079-2021,https://doi.org/10.5194/gmd-14-3079-2021, 2021
Short summary
Multivariable integrated evaluation of model performance with the vector field evaluation diagram
Zhongfeng Xu, Ying Han, and Congbin Fu
Geosci. Model Dev., 10, 3805–3820, https://doi.org/10.5194/gmd-10-3805-2017,https://doi.org/10.5194/gmd-10-3805-2017, 2017
Short summary

Related subject area

Climate and Earth system modeling
Virtual Integration of Satellite and In-situ Observation Networks (VISION) v1.0: In-Situ Observations Simulator (ISO_simulator)
Maria R. Russo, Sadie L. Bartholomew, David Hassell, Alex M. Mason, Erica Neininger, A. James Perman, David A. J. Sproson, Duncan Watson-Parris, and Nathan Luke Abraham
Geosci. Model Dev., 18, 181–191, https://doi.org/10.5194/gmd-18-181-2025,https://doi.org/10.5194/gmd-18-181-2025, 2025
Short summary
Climate model downscaling in central Asia: a dynamical and a neural network approach
Bijan Fallah, Masoud Rostami, Emmanuele Russo, Paula Harder, Christoph Menz, Peter Hoffmann, Iulii Didovets, and Fred F. Hattermann
Geosci. Model Dev., 18, 161–180, https://doi.org/10.5194/gmd-18-161-2025,https://doi.org/10.5194/gmd-18-161-2025, 2025
Short summary
Multi-year simulations at kilometre scale with the Integrated Forecasting System coupled to FESOM2.5 and NEMOv3.4
Thomas Rackow, Xabier Pedruzo-Bagazgoitia, Tobias Becker, Sebastian Milinski, Irina Sandu, Razvan Aguridan, Peter Bechtold, Sebastian Beyer, Jean Bidlot, Souhail Boussetta, Willem Deconinck, Michail Diamantakis, Peter Dueben, Emanuel Dutra, Richard Forbes, Rohit Ghosh, Helge F. Goessling, Ioan Hadade, Jan Hegewald, Thomas Jung, Sarah Keeley, Lukas Kluft, Nikolay Koldunov, Aleksei Koldunov, Tobias Kölling, Josh Kousal, Christian Kühnlein, Pedro Maciel, Kristian Mogensen, Tiago Quintino, Inna Polichtchouk, Balthasar Reuter, Domokos Sármány, Patrick Scholz, Dmitry Sidorenko, Jan Streffing, Birgit Sützl, Daisuke Takasuka, Steffen Tietsche, Mirco Valentini, Benoît Vannière, Nils Wedi, Lorenzo Zampieri, and Florian Ziemen
Geosci. Model Dev., 18, 33–69, https://doi.org/10.5194/gmd-18-33-2025,https://doi.org/10.5194/gmd-18-33-2025, 2025
Short summary
Subsurface hydrological controls on the short-term effects of hurricanes on nitrate–nitrogen runoff loading: a case study of Hurricane Ida using the Energy Exascale Earth System Model (E3SM) Land Model (v2.1)
Yilin Fang, Hoang Viet Tran, and L. Ruby Leung
Geosci. Model Dev., 18, 19–32, https://doi.org/10.5194/gmd-18-19-2025,https://doi.org/10.5194/gmd-18-19-2025, 2025
Short summary
CARIB12: a regional Community Earth System Model/Modular Ocean Model 6 configuration of the Caribbean Sea
Giovanni Seijo-Ellis, Donata Giglio, Gustavo Marques, and Frank Bryan
Geosci. Model Dev., 17, 8989–9021, https://doi.org/10.5194/gmd-17-8989-2024,https://doi.org/10.5194/gmd-17-8989-2024, 2024
Short summary

Cited articles

Charles, B. N.: Utility of stretch vector correlation coefficients, Q. J. Roy. Meteor. Soc., 85, 287–290, https://doi.org/10.1002/qj.49708536510, 1959.
Chaudhuri, A. H., Ponte, R. M., Forget, G., and Heimbach, P.: A comparison of atmospheric reanalysis surface products over the ocean and implications for uncertainties in air–sea boundary forcing, J. Climate, 26, 153–170, 2013.
Crosby, D. S., Breaker, L .C., and Gemmill, W. H.: A proposed definition for vector correlation in geophysics: Theory and application, J. Atmos. Ocean. Tech., 10, 355–367, 1993.
Ellison, T. H.: On the correlation of vectors, Q. J. Roy. Meteor. Soc., 80, 93–96, https://doi.org/10.1002/qj.49708034311, 1954.
Short summary
This paper devises a new diagram called the vector field evaluation (VFE) diagram. The VFE diagram is a generalized Taylor diagram and is able to provide a concise evaluation of model performance in simulating vector fields (e.g., vector winds) in terms of three statistical variables. The VFE diagram can be applied to the evaluation of full vector fields or anomaly fields as needed. Some potential applications of the VFE diagram in model evaluation are also presented in the paper.