WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model
Abstract 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 de...
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Format: | Article |
Language: | English |
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American Geophysical Union (AGU)
2020-08-01
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Series: | Journal of Advances in Modeling Earth Systems |
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Online Access: | https://doi.org/10.1029/2019MS001961 |
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author | D. Meyer R. Schoetter M. Riechert A. Verrelle M. Tewari J. Dudhia V. Masson M. vanReeuwijk S. Grimmond |
author_facet | D. Meyer R. Schoetter M. Riechert A. Verrelle M. Tewari J. Dudhia V. Masson M. vanReeuwijk S. Grimmond |
author_sort | D. Meyer |
collection | DOAJ |
description | Abstract 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). |
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format | Article |
id | doaj.art-bcae86f496ef41c18fd99af3c2a36249 |
institution | Directory Open Access Journal |
issn | 1942-2466 |
language | English |
last_indexed | 2024-12-19T03:10:03Z |
publishDate | 2020-08-01 |
publisher | American Geophysical Union (AGU) |
record_format | Article |
series | Journal of Advances in Modeling Earth Systems |
spelling | doaj.art-bcae86f496ef41c18fd99af3c2a362492022-12-21T20:38:02ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662020-08-01128n/an/a10.1029/2019MS001961WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) ModelD. Meyer0R. Schoetter1M. Riechert2A. Verrelle3M. Tewari4J. Dudhia5V. Masson6M. vanReeuwijk7S. Grimmond8Department of Meteorology University of Reading Reading UKCNRM UMR 3589, Université Fédérale de Toulouse, Météo‐France/CNRS Toulouse FranceMicrosoft Research Cambridge UKCNRM UMR 3589, Université Fédérale de Toulouse, Météo‐France/CNRS Toulouse FranceIBM Thomas J Watson Research Center Yorktown Heights NY USAMesoscale and Microscale Meteorology Laboratory NCAR Boulder CO USACNRM UMR 3589, Université Fédérale de Toulouse, Météo‐France/CNRS Toulouse FranceDepartment of Civil and Environmental Engineering Imperial College London London UKDepartment of Meteorology University of Reading Reading UKAbstract 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).https://doi.org/10.1029/2019MS001961urban meteorologymodel developmentTown Energy BalanceWeather Research and Forecastingbuilding energyscientific reproducibility |
spellingShingle | D. Meyer R. Schoetter M. Riechert A. Verrelle M. Tewari J. Dudhia V. Masson M. vanReeuwijk S. Grimmond 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 urban meteorology model development Town Energy Balance Weather Research and Forecasting building energy scientific reproducibility |
title | WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model |
title_full | WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model |
title_fullStr | WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model |
title_full_unstemmed | WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model |
title_short | WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model |
title_sort | wrf teb implementation and evaluation of the coupled weather research and forecasting wrf and town energy balance teb model |
topic | urban meteorology model development Town Energy Balance Weather Research and Forecasting building energy scientific reproducibility |
url | https://doi.org/10.1029/2019MS001961 |
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