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DOI10.1029/2019MS001961
WRF-TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model
Meyer D.; Schoetter R.; Riechert M.; Verrelle A.; Tewari M.; Dudhia J.; Masson V.; van Reeuwijk M.; Grimmond S.
发表日期2020
ISSN19422466
卷号12期号:8
英文摘要Urban land surface processes need to be represented to inform future urban climate and building energy projections. Here, the single layer urban canopy model Town Energy Balance (TEB) is coupled to the Weather Research and Forecasting (WRF) model to create WRF-TEB. The coupling method is described generically, implemented into software, and the code and data are released with a Singularity image to address issues of scientific reproducibility. The coupling is implemented modularly and verified by an integration test. Results show no detectable errors in the coupling. Separately, a meteorological evaluation is undertaken using observations from Toulouse, France. The latter evaluation, during an urban canopy layer heat island episode, shows reasonable ability to estimate turbulent heat flux densities and other meteorological quantities. We conclude that new model couplings should make use of integration tests as meteorological evaluations by themselves are insufficient, given that errors are difficult to attribute because of the interplay between observational errors and multiple parameterization schemes (e.g., radiation, microphysics, and boundary layer). © 2020. The Authors.
英文关键词building energy; model development; scientific reproducibility; Town Energy Balance; urban meteorology; Weather Research and Forecasting
语种英语
scopus关键词Boundary layers; Energy balance; Errors; Heat flux; Land-surface process; Observational errors; Parameterization schemes; Turbulent heat fluxes; Urban canopy layers; Urban canopy models; Weather research and forecasting; Weather research and forecasting models; Weather forecasting; climate prediction; episodic event; error analysis; estimation method; heat flux; heat island; parameterization; software; urban climate; vegetation cover; weather forecasting; France; Haute Garonne; Occitanie; Toulouse
来源期刊Journal of Advances in Modeling Earth Systems
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/156667
作者单位Department of Meteorology, University of Reading, Reading, United Kingdom; Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom; CNRM UMR 3589, Université Fédérale de Toulouse, Météo-France/CNRS, Toulouse, France; Microsoft Research, Cambridge, United Kingdom; IBM Thomas J Watson Research Center, Yorktown Heights, NY, United States; Mesoscale and Microscale Meteorology Laboratory, NCAR, Boulder, CO, United States
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Meyer D.,Schoetter R.,Riechert M.,et al. WRF-TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model[J],2020,12(8).
APA Meyer D..,Schoetter R..,Riechert M..,Verrelle A..,Tewari M..,...&Grimmond S..(2020).WRF-TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model.Journal of Advances in Modeling Earth Systems,12(8).
MLA Meyer D.,et al."WRF-TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model".Journal of Advances in Modeling Earth Systems 12.8(2020).
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