Initial results from Phase 2 of the international urban energy balance model comparison

G.S.B. Grimmond, Matthew Blackett, M.J. Best, J.J. Baik, S.E. Belcher, J. Beringer, S.I. Bohnenstengel, I. Calmet, F. Chen, A. Coutts, A. Dandou, K. Fortuniak, M.L. Gouvea, R. Hamdi, M. Hendry, M. Kanda, T. Kawai, Y. Kawamoto, H. Kondo, E. S. Krayenhoff & 16 others S.-H. Lee, T. Loridan, A. Martilli, V. Masson, S. Miao, K. Oleson, R. Ooka, G. Pigeon, A. Porson, Y.-H. Ryu, F. Salamanca, G.J. Steeneveld, M. Tombrou, J. A. Voogt, D. T. Young, N. Zhang

    Research output: Contribution to journalArticle

    187 Citations (Scopus)

    Abstract

    Urban land surface schemes have been developed to model the distinct features of the urban surface and the associated energy exchange processes. These models have been developed for a range of purposes and make different assumptions related to the inclusion and representation of the relevant processes. Here, the first results of Phase 2 from an international comparison project to evaluate 32 urban land surface schemes are presented. This is the first large-scale systematic evaluation of these models. In four stages, participants were given increasingly detailed information about an urban site for which urban fluxes were directly observed. At each stage, each group returned their models' calculated surface energy balance fluxes. Wide variations are evident in the performance of the models for individual fluxes. No individual model performs best for all fluxes. Providing additional information about the surface generally results in better performance. However, there is clear evidence that poor choice of parameter values can cause a large drop in performance for models that otherwise perform well. As many models do not perform well across all fluxes, there is need for caution in their application, and users should be aware of the implications for applications and decision making.
    Original languageEnglish
    Pages (from-to)244-272
    JournalInternational Journal of Climatology
    Volume31
    Issue number2
    DOIs
    Publication statusPublished - Feb 2011

    Fingerprint

    energy balance
    land surface
    international comparison
    comparison
    urban site
    surface energy
    decision making
    energy

    Bibliographical note

    The full text of this item is not available from the repository.

    Keywords

    • urban climate
    • energy balance
    • surface atmosphere exchanges
    • land surface modelling
    • sustainable cities
    • radiation
    • turbulent heat fluxes
    • evaporation

    Cite this

    Grimmond, G. S. B., Blackett, M., Best, M. J., Baik, J. J., Belcher, S. E., Beringer, J., ... Zhang, N. (2011). Initial results from Phase 2 of the international urban energy balance model comparison. International Journal of Climatology, 31(2), 244-272. https://doi.org/10.1002/joc.2227

    Initial results from Phase 2 of the international urban energy balance model comparison. / Grimmond, G.S.B.; Blackett, Matthew; Best, M.J.; Baik, J.J.; Belcher, S.E.; Beringer, J.; Bohnenstengel, S.I.; Calmet, I.; Chen, F.; Coutts, A.; Dandou, A.; Fortuniak, K.; Gouvea, M.L.; Hamdi, R.; Hendry, M.; Kanda, M.; Kawai, T.; Kawamoto, Y.; Kondo, H.; Krayenhoff, E. S.; Lee, S.-H.; Loridan, T.; Martilli, A.; Masson, V.; Miao, S.; Oleson, K.; Ooka, R.; Pigeon, G.; Porson, A.; Ryu, Y.-H.; Salamanca, F.; Steeneveld, G.J.; Tombrou, M.; Voogt, J. A.; Young, D. T.; Zhang, N.

    In: International Journal of Climatology, Vol. 31, No. 2, 02.2011, p. 244-272.

    Research output: Contribution to journalArticle

    Grimmond, GSB, Blackett, M, Best, MJ, Baik, JJ, Belcher, SE, Beringer, J, Bohnenstengel, SI, Calmet, I, Chen, F, Coutts, A, Dandou, A, Fortuniak, K, Gouvea, ML, Hamdi, R, Hendry, M, Kanda, M, Kawai, T, Kawamoto, Y, Kondo, H, Krayenhoff, ES, Lee, S-H, Loridan, T, Martilli, A, Masson, V, Miao, S, Oleson, K, Ooka, R, Pigeon, G, Porson, A, Ryu, Y-H, Salamanca, F, Steeneveld, GJ, Tombrou, M, Voogt, JA, Young, DT & Zhang, N 2011, 'Initial results from Phase 2 of the international urban energy balance model comparison' International Journal of Climatology, vol. 31, no. 2, pp. 244-272. https://doi.org/10.1002/joc.2227
    Grimmond, G.S.B. ; Blackett, Matthew ; Best, M.J. ; Baik, J.J. ; Belcher, S.E. ; Beringer, J. ; Bohnenstengel, S.I. ; Calmet, I. ; Chen, F. ; Coutts, A. ; Dandou, A. ; Fortuniak, K. ; Gouvea, M.L. ; Hamdi, R. ; Hendry, M. ; Kanda, M. ; Kawai, T. ; Kawamoto, Y. ; Kondo, H. ; Krayenhoff, E. S. ; Lee, S.-H. ; Loridan, T. ; Martilli, A. ; Masson, V. ; Miao, S. ; Oleson, K. ; Ooka, R. ; Pigeon, G. ; Porson, A. ; Ryu, Y.-H. ; Salamanca, F. ; Steeneveld, G.J. ; Tombrou, M. ; Voogt, J. A. ; Young, D. T. ; Zhang, N. / Initial results from Phase 2 of the international urban energy balance model comparison. In: International Journal of Climatology. 2011 ; Vol. 31, No. 2. pp. 244-272.
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    abstract = "Urban land surface schemes have been developed to model the distinct features of the urban surface and the associated energy exchange processes. These models have been developed for a range of purposes and make different assumptions related to the inclusion and representation of the relevant processes. Here, the first results of Phase 2 from an international comparison project to evaluate 32 urban land surface schemes are presented. This is the first large-scale systematic evaluation of these models. In four stages, participants were given increasingly detailed information about an urban site for which urban fluxes were directly observed. At each stage, each group returned their models' calculated surface energy balance fluxes. Wide variations are evident in the performance of the models for individual fluxes. No individual model performs best for all fluxes. Providing additional information about the surface generally results in better performance. However, there is clear evidence that poor choice of parameter values can cause a large drop in performance for models that otherwise perform well. As many models do not perform well across all fluxes, there is need for caution in their application, and users should be aware of the implications for applications and decision making.",
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    AU - Belcher, S.E.

    AU - Beringer, J.

    AU - Bohnenstengel, S.I.

    AU - Calmet, I.

    AU - Chen, F.

    AU - Coutts, A.

    AU - Dandou, A.

    AU - Fortuniak, K.

    AU - Gouvea, M.L.

    AU - Hamdi, R.

    AU - Hendry, M.

    AU - Kanda, M.

    AU - Kawai, T.

    AU - Kawamoto, Y.

    AU - Kondo, H.

    AU - Krayenhoff, E. S.

    AU - Lee, S.-H.

    AU - Loridan, T.

    AU - Martilli, A.

    AU - Masson, V.

    AU - Miao, S.

    AU - Oleson, K.

    AU - Ooka, R.

    AU - Pigeon, G.

    AU - Porson, A.

    AU - Ryu, Y.-H.

    AU - Salamanca, F.

    AU - Steeneveld, G.J.

    AU - Tombrou, M.

    AU - Voogt, J. A.

    AU - Young, D. T.

    AU - Zhang, N.

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    N2 - Urban land surface schemes have been developed to model the distinct features of the urban surface and the associated energy exchange processes. These models have been developed for a range of purposes and make different assumptions related to the inclusion and representation of the relevant processes. Here, the first results of Phase 2 from an international comparison project to evaluate 32 urban land surface schemes are presented. This is the first large-scale systematic evaluation of these models. In four stages, participants were given increasingly detailed information about an urban site for which urban fluxes were directly observed. At each stage, each group returned their models' calculated surface energy balance fluxes. Wide variations are evident in the performance of the models for individual fluxes. No individual model performs best for all fluxes. Providing additional information about the surface generally results in better performance. However, there is clear evidence that poor choice of parameter values can cause a large drop in performance for models that otherwise perform well. As many models do not perform well across all fluxes, there is need for caution in their application, and users should be aware of the implications for applications and decision making.

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    KW - energy balance

    KW - surface atmosphere exchanges

    KW - land surface modelling

    KW - sustainable cities

    KW - radiation

    KW - turbulent heat fluxes

    KW - evaporation

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