The International Urban Energy Balance Models Comparison Project: First Results from Phase 1

Author:

Grimmond C. S. B.1,Blackett M.1,Best M. J.2,Barlow J.3,Baik J-J.4,Belcher S. E.3,Bohnenstengel S. I.3,Calmet I.5,Chen F.6,Dandou A.7,Fortuniak K.8,Gouvea M. L.1,Hamdi R.9,Hendry M.2,Kawai T.10,Kawamoto Y.11,Kondo H.12,Krayenhoff E. S.13,Lee S-H.3,Loridan T.1,Martilli A.14,Masson V.15,Miao S.16,Oleson K.6,Pigeon G.15,Porson A.22,Ryu Y-H.3,Salamanca F.14,Shashua-Bar L.17,Steeneveld G-J.18,Tombrou M.7,Voogt J.19,Young D.1,Zhang N.20

Affiliation:

1. King’s College London, London, United Kingdom

2. Met Office, Exeter, United Kingdom

3. University of Reading, Reading, United Kingdom

4. Seoul National University, Seoul, South Korea

5. Laboratoire de Mécanique des Fluides, CNRS-Ecole Centrale de Nantes, Nantes, France

6. National Center for Atmospheric Research, Boulder, Colorado

7. National and Kapodistrian University of Athens, Athens, Greece

8. University of Łódź, Łódź, Poland

9. Royal Meteorological Institute, Uccle, Belgium

10. Ehime University, Matsuyama, Japan

11. The University of Tokyo, Tokyo, Japan

12. National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan

13. University of British Columbia, Vancouver, British Columbia, Canada

14. CIEMAT, Madrid, Spain

15. CNRM-GAME Meteo France-CNRS, Toulouse, France

16. IUM, CMA, Beijing, China

17. Ben Gurion University of the Negev, Beer-Sheva, Israel

18. Wageningen University, Wageningen, Netherlands

19. University of Western Ontario, London, Ontario, Canada

20. Nanjing University, Nanjing, China

Abstract

Abstract A large number of urban surface energy balance models now exist with different assumptions about the important features of the surface and exchange processes that need to be incorporated. To date, no comparison of these models has been conducted; in contrast, models for natural surfaces have been compared extensively as part of the Project for Intercomparison of Land-surface Parameterization Schemes. Here, the methods and first results from an extensive international comparison of 33 models are presented. The aim of the comparison overall is to understand the complexity required to model energy and water exchanges in urban areas. The degree of complexity included in the models is outlined and impacts on model performance are discussed. During the comparison there have been significant developments in the models with resulting improvements in performance (root-mean-square error falling by up to two-thirds). Evaluation is based on a dataset containing net all-wave radiation, sensible heat, and latent heat flux observations for an industrial area in Vancouver, British Columbia, Canada. The aim of the comparison is twofold: to identify those modeling approaches that minimize the errors in the simulated fluxes of the urban energy balance and to determine the degree of model complexity required for accurate simulations. There is evidence that some classes of models perform better for individual fluxes but no model performs best or worst for all fluxes. In general, the simpler models perform as well as the more complex models based on all statistical measures. Generally the schemes have best overall capability to model net all-wave radiation and least capability to model latent heat flux.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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