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

Author:

Lipson Mathew J.12ORCID,Grimmond Sue3ORCID,Best Martin4,Abramowitz Gab5ORCID,Coutts Andrew6,Tapper Nigel6,Baik Jong‐Jin7ORCID,Beyers Meiring8,Blunn Lewis9ORCID,Boussetta Souhail10,Bou‐Zeid Elie11ORCID,De Kauwe Martin G.12ORCID,de Munck Cécile13,Demuzere Matthias14ORCID,Fatichi Simone15ORCID,Fortuniak Krzysztof16ORCID,Han Beom‐Soon17,Hendry Margaret A.4ORCID,Kikegawa Yukihiro18ORCID,Kondo Hiroaki1920,Lee Doo‐Il21,Lee Sang‐Hyun21ORCID,Lemonsu Aude13,Machado Tiago13,Manoli Gabriele22ORCID,Martilli Alberto23,Masson Valéry13,McNorton Joe10,Meili Naika15ORCID,Meyer David324ORCID,Nice Kerry A.25ORCID,Oleson Keith W.26ORCID,Park Seung‐Bu27,Roth Michael8ORCID,Schoetter Robert13,Simón‐Moral Andrés28ORCID,Steeneveld Gert‐Jan29ORCID,Sun Ting30ORCID,Takane Yuya19,Thatcher Marcus31,Tsiringakis Aristofanis32ORCID,Varentsov Mikhail3334ORCID,Wang Chenghao3536ORCID,Wang Zhi‐Hua37ORCID,Pitman Andy J.5

Affiliation:

1. Australian Research Council Centre of Excellence for Climate System Science, Climate Change Research Centre, Level 4, Mathews Building UNSW Sydney Sydney New South Wales Australia

2. Bureau of Meteorology Sydney New South Wales Australia

3. Department of Meteorology University of Reading Reading UK

4. Met Office Exeter UK

5. Australian Research Council Centre of Excellence for Climate Extremes, Climate Change Research Centre, Level 4, Mathews Building UNSW Sydney Sydney New South Wales Australia

6. School of Earth, Atmosphere and Environment Monash University Melbourne Australia

7. School of Earth and Environmental Sciences Seoul National University Seoul South Korea

8. Klimaat Consulting & Innovation Inc Guelph Ontario Canada

9. Met Office, University of Reading Reading UK

10. European Centre for Medium‐Range Weather Forecasts Reading UK

11. Department of Civil and Environmental Engineering Princeton University Princeton New Jersey USA

12. School of Biological Sciences University of Bristol Bristol UK

13. CNRM, Université de Toulouse, Météo‐France, CNRS Toulouse France

14. Urban Climatology Group, Department of Geography Ruhr‐University Bochum Bochum Germany

15. Department of Civil and Environmental Engineering National University of Singapore Singapore Singapore

16. Department of Meteorology and Climatology, Faculty of Geographical Sciences University of Lodz Lodz Poland

17. Department of Environment and Energy Semyung University Jecheon South Korea

18. School of Science and Engineering Meisei University Hino Japan

19. Environmental Management Research Institute National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Japan

20. Japan Weather Association Tokyo Japan

21. Department of Atmospheric Science Kongju National University Gongju Republic of Korea

22. School of Architecture, Civil and Environmental Engineering Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland

23. Department of Environment CIEMAT Madrid Spain

24. Department of Civil and Environmental Engineering Imperial College London London UK

25. Transportation, Health and Urban Design Research Lab, Faculty of Architecture, Building and Planning University of Melbourne Melbourne Australia

26. Climate and Global Dynamics Laboratory National Center for Atmospheric Research Boulder Colorado USA

27. School of Environmental Engineering University of Seoul Dongdaemun‐gu South Korea

28. TECNALIA, Basque Research and Technology Alliance (BRTA) Derio Spain

29. Meteorology and Air Quality Section Wageningen University Wageningen The Netherlands

30. Institute for Risk and Disaster Reduction University College London London UK

31. CSIRO Environment, Commonwealth Scientific and Industrial Research Organisation Melbourne Victoria Australia

32. European Centre for Medium‐Range Weather Forecasts Bonn Germany

33. Research Computing Center, Lomonosov Moscow State University Moscow Russia

34. A.M. Obukhov Institute of Atmospheric Physics Moscow Russia

35. School of Meteorology University of Oklahoma Norman Oklahoma USA

36. Department of Geography and Environmental Sustainability University of Oklahoma Norman Oklahoma USA

37. School of Sustainable Engineering and the Built Environment Arizona State University Tempe Arizona USA

Abstract

AbstractAccurately 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.

Funder

Army Research Office

Australian Research Council

Bureau of Meteorology, Australian Government

Deutsche Forschungsgemeinschaft

H2020 European Research Council

Japan Society for the Promotion of Science

Met Office

National Computational Infrastructure

National Health and Medical Research Council

National Research Foundation of Korea

National Science Foundation of Sri Lanka

National University of Singapore

Natural Environment Research Council

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Nuclear Safety and Security Commission

Russian Science Foundation

UK Research and Innovation

University of New South Wales

University of Reading

Publisher

Wiley

Subject

Atmospheric Science

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