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Evaluation of 30 urban land surface models in the Urban-PLUMBER project: Phase 1 results

  • Mathew J. Lipson*
  • , Sue Grimmond
  • , Martin Best
  • , Gab Abramowitz
  • , Andrew Coutts
  • , Nigel Tapper
  • , Jong Jin Baik
  • , Meiring Beyers
  • , Lewis Blunn
  • , Souhail Boussetta
  • , Elie Bou-Zeid
  • , Martin G. De Kauwe
  • , Cécile de Munck
  • , Matthias Demuzere
  • , Simone Fatichi
  • , Krzysztof Fortuniak
  • , Beom Soon Han
  • , Margaret A. Hendry
  • , Yukihiro Kikegawa
  • , Hiroaki Kondo
  • Doo Il Lee, Sang Hyun Lee, Aude Lemonsu, Tiago Machado, Gabriele Manoli, Alberto Martilli, Valéry Masson, Joe McNorton, Naika Meili, David Meyer, Kerry A. Nice, Keith W. Oleson, Seung Bu Park, Michael Roth, Robert Schoetter, Andrés Simón-Moral, Gert Jan Steeneveld, Ting Sun, Yuya Takane, Marcus Thatcher, Aristofanis Tsiringakis, Mikhail Varentsov, Chenghao Wang, Zhi Hua Wang, Andy J. Pitman
*Autor correspondiente de este trabajo
  • University of New South Wales
  • Bureau of Meteorology Australia
  • University of Reading
  • Met Office
  • Monash University
  • Klimaat Consulting & Innovation Inc
  • European Centre for Medium-Range Weather Forecasts
  • Princeton University
  • University of Bristol
  • Université de Toulouse
  • Ruhr University Bochum
  • National University of Singapore
  • University of Łódź
  • Semyung University
  • Meisei University
  • National Institute of Advanced Industrial Science and Technology
  • Japan Weather Association
  • Kongju National University
  • Swiss Federal Institute of Technology Lausanne
  • CIEMAT
  • Imperial College London
  • University of Melbourne
  • National Center for Atmospheric Research
  • University of Seoul
  • Basque Research and Technology Alliance (BRTA)
  • Wageningen University & Research
  • University College London
  • CSIRO
  • European Centre for Medium-Range Weather Forecasts
  • Lomonosov Moscow State University
  • Russian Academy of Sciences
  • University of Oklahoma
  • Arizona State University

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

86 Citas (Scopus)

Resumen

Accurately predicting weather and climate in cities is critical for safeguarding human health and strengthening urban resilience. Multimodel evaluations can lead to model improvements; however, there have been no major intercomparisons of urban-focussed land surface models in over a decade. Here, in Phase 1 of the Urban-PLUMBER project, we evaluate the ability of 30 land surface models to simulate surface energy fluxes critical to atmospheric meteorological and air quality simulations. We establish minimum and upper performance expectations for participating models using simple information-limited models as benchmarks. Compared with the last major model intercomparison at the same site, we find broad improvement in the current cohort's predictions of short-wave radiation, sensible and latent heat fluxes, but little or no improvement in long-wave radiation and momentum fluxes. Models with a simple urban representation (e.g., ‘slab’ schemes) generally perform well, particularly when combined with sophisticated hydrological/vegetation models. Some mid-complexity models (e.g., ‘canyon’ schemes) also perform well, indicating efforts to integrate vegetation and hydrology processes have paid dividends. The most complex models that resolve three-dimensional interactions between buildings in general did not perform as well as other categories. However, these models also tended to have the simplest representations of hydrology and vegetation. Models without any urban representation (i.e., vegetation-only land surface models) performed poorly for latent heat fluxes, and reasonably for other energy fluxes at this suburban site. Our analysis identified widespread human errors in initial submissions that substantially affected model performances. Although significant efforts are applied to correct these errors, we conclude that human factors are likely to influence results in this (or any) model intercomparison, particularly where participating scientists have varying experience and first languages. These initial results are for one suburban site, and future phases of Urban-PLUMBER will evaluate models across 20 sites in different urban and regional climate zones.

Idioma originalInglés
Páginas (desde-hasta)126-169
Número de páginas44
PublicaciónQuarterly Journal of the Royal Meteorological Society
Volumen150
N.º758
DOI
EstadoPublicada - 1 ene 2024
Publicado de forma externa

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 3: Salud y bienestar
    ODS 3: Salud y bienestar
  2. ODS 11: Ciudades y comunidades sostenibles
    ODS 11: Ciudades y comunidades sostenibles

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