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WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model

Authors: Jimy Dudhia; A. Verrelle; Robert Schoetter; Mukul Tewari; Sue Grimmond; M. van Reeuwijk; Valéry Masson; +3 Authors

WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model

Abstract

AbstractUrban 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).

Countries
United Kingdom, France, France
Keywords

PARAMETERIZATION, Physical geography, 550, IMPACT, URBAN CANOPY MODEL, Weather Research and Forecasting, GC1-1581, 910, Oceanography, model development</AUTHOR_KEYWORD>, [SDU] Sciences of the Universe [physics], model development, Meteorology & Atmospheric Sciences, WATER, ANTHROPOGENIC HEAT, building energy, Science & Technology, scientific reproducibility, urban meteorology</AUTHOR_KEYWORD>, Weather Research and Forecasting</AUTHOR_KEYWORD>, CONSUMPTION, urban meteorology, Town Energy Balance, GB3-5030, scientific reproducibility</AUTHOR_KEYWORD>, CLIMATE, [SDU]Sciences of the Universe [physics], Physical Sciences, SIMULATION, ONLINE CHEMISTRY, building energy</AUTHOR_KEYWORD>, TURBULENCE, 0401 Atmospheric Sciences, Town Energy Balance</AUTHOR_KEYWORD>

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Average
Top 10%
Green
gold