WRF-TEB: Implementation and evaluation of the coupled weather research and forecasting (WRF) and town energy balance (TEB) model
File(s)Meyer2020.pdf (2.56 MB)
Published version
Author(s)
Type
Journal Article
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).
Date Issued
2020-08-01
Date Acceptance
2020-06-08
Citation
Journal of Advances in Modeling Earth Systems, 2020, 12 (8), pp.1-18
ISSN
1942-2466
Publisher
American Geophysical Union (AGU)
Start Page
1
End Page
18
Journal / Book Title
Journal of Advances in Modeling Earth Systems
Volume
12
Issue
8
Copyright Statement
©2020. The Authors.
This is an open access article under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
This is an open access article under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000566209200018&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Physical Sciences
Meteorology & Atmospheric Sciences
urban meteorology</AUTHOR_KEYWORD>
model development</AUTHOR_KEYWORD>
Town Energy Balance</AUTHOR_KEYWORD>
Weather Research and Forecasting</AUTHOR_KEYWORD>
building energy</AUTHOR_KEYWORD>
scientific reproducibility</AUTHOR_KEYWORD>
URBAN CANOPY MODEL
ANTHROPOGENIC HEAT
ONLINE CHEMISTRY
CLIMATE
PARAMETERIZATION
SIMULATION
TURBULENCE
IMPACT
CONSUMPTION
WATER
Publication Status
Published
Article Number
ARTN e2019MS001961
Date Publish Online
2020-06-09