File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Integration of the WUDAPT, WRF, and ENVI-met models to simulate extreme daytime temperature mitigation strategies in San Jose, California

TitleIntegration of the WUDAPT, WRF, and ENVI-met models to simulate extreme daytime temperature mitigation strategies in San Jose, California
Authors
KeywordsWUDAPT
Urbanized WRF
ENVI-met
Urban heat islands
Urban planning
Issue Date2020
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/buildenv
Citation
Building and Environment, 2020, v. 184, p. article no. 107180 How to Cite?
AbstractAn obstacle to the modeling of strategies to mitigate extreme urban temperatures is frequently the lack of on-site meteorological data. The current study thus reports on a method that used the Weather Research and Forecasting (WRF) model to generate inputs for the ENVI-met model to produce building-scale canyon temperatures within a 300 m square near downtown San Jose. A land use distribution was generated for WRF by a WUDAPT classification, and the days of interest were then the hottest day in California history and a typical summer day. The source of meteorological data for ENVI-met, run with a 1.5 m cubic grid, was either an urbanized version of WRF; its default version; or observations at the closest NWS site. All WRF simulations were run on a 1 km grid, and output at its grid closest to the study area provided ENVI-met with lateral boundary conditions. The mitigation strategy was comprised of three parts, which either increased vegetation, rooftop albedo, or architectural shade elements. Results showed all strategies with only negligible impacts on ENVI-met nighttime 1 m level street canyon temperatures. Increased vegetation, however, was the most effective daytime strategy on both days, as it affected the largest area. The maximum vegetative cooling on the extreme and average days was -3.5 and -3.3 degrees C, respectively. While increased rooftop albedos produced near negligible impacts, increased architectural shading produced corresponding values of -1.6 and -1.7 degrees C, respectively.
Persistent Identifierhttp://hdl.handle.net/10722/306212
ISSN
2023 Impact Factor: 7.1
2023 SCImago Journal Rankings: 1.647
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMcRae, I-
dc.contributor.authorFreedman, F-
dc.contributor.authorRivera, A-
dc.contributor.authorLi, X-
dc.contributor.authorDou, J-
dc.contributor.authorCruz, I-
dc.contributor.authorRen, C-
dc.contributor.authorDronova, I-
dc.contributor.authorFraker, H-
dc.contributor.authorBornstein, R-
dc.date.accessioned2021-10-20T10:20:23Z-
dc.date.available2021-10-20T10:20:23Z-
dc.date.issued2020-
dc.identifier.citationBuilding and Environment, 2020, v. 184, p. article no. 107180-
dc.identifier.issn0360-1323-
dc.identifier.urihttp://hdl.handle.net/10722/306212-
dc.description.abstractAn obstacle to the modeling of strategies to mitigate extreme urban temperatures is frequently the lack of on-site meteorological data. The current study thus reports on a method that used the Weather Research and Forecasting (WRF) model to generate inputs for the ENVI-met model to produce building-scale canyon temperatures within a 300 m square near downtown San Jose. A land use distribution was generated for WRF by a WUDAPT classification, and the days of interest were then the hottest day in California history and a typical summer day. The source of meteorological data for ENVI-met, run with a 1.5 m cubic grid, was either an urbanized version of WRF; its default version; or observations at the closest NWS site. All WRF simulations were run on a 1 km grid, and output at its grid closest to the study area provided ENVI-met with lateral boundary conditions. The mitigation strategy was comprised of three parts, which either increased vegetation, rooftop albedo, or architectural shade elements. Results showed all strategies with only negligible impacts on ENVI-met nighttime 1 m level street canyon temperatures. Increased vegetation, however, was the most effective daytime strategy on both days, as it affected the largest area. The maximum vegetative cooling on the extreme and average days was -3.5 and -3.3 degrees C, respectively. While increased rooftop albedos produced near negligible impacts, increased architectural shading produced corresponding values of -1.6 and -1.7 degrees C, respectively.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/buildenv-
dc.relation.ispartofBuilding and Environment-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectWUDAPT-
dc.subjectUrbanized WRF-
dc.subjectENVI-met-
dc.subjectUrban heat islands-
dc.subjectUrban planning-
dc.titleIntegration of the WUDAPT, WRF, and ENVI-met models to simulate extreme daytime temperature mitigation strategies in San Jose, California-
dc.typeArticle-
dc.identifier.emailRen, C: renchao@hku.hk-
dc.identifier.authorityRen, C=rp02447-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.buildenv.2020.107180-
dc.identifier.scopuseid_2-s2.0-85090011872-
dc.identifier.hkuros327975-
dc.identifier.volume184-
dc.identifier.spagearticle no. 107180-
dc.identifier.epagearticle no. 107180-
dc.identifier.isiWOS:000579907200002-
dc.publisher.placeUnited Kingdom-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats