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dc.contributor.authorMughal, M. O.
dc.contributor.authorLi, Xian‐Xiang
dc.contributor.authorYin, Tiangang
dc.contributor.authorMartilli, Alberto
dc.contributor.authorBrousse, Oscar
dc.contributor.authorDissegna, Maria Angela
dc.contributor.authorNorford, Leslie K.
dc.date.accessioned2022-02-15T19:57:50Z
dc.date.available2022-02-15T19:57:50Z
dc.date.issued2019-07-12
dc.identifier.issn2169-897X
dc.identifier.issn2169-8996
dc.identifier.urihttps://hdl.handle.net/1721.1/140386
dc.description.abstractWe applied Weather Research and Forecasting (WRF) model's Multilayer Urban Canopy Model (MLUCM) to simulate the urban climate of Singapore during a hot period in April 2016. The high-resolution local climate zone (LCZ) map was used as urban land use/land cover data in order to study the intraurban variability in different LCZ classes. The LCZ map for Singapore was developed by adopting the World Urban Database and Access Portal Tools (WUDAPT) methodology based on satellite remote sensing imageries and building height data. The coupled WRF/MLUCM model was validated using meteorological data from stations across Singapore. Higher index of agreement compared to observations and lower root-mean-squared error of 2-m temperature, relative humidity, and global horizontal irradiance showed satisfactory model performance. A sensitivity analysis of initial and boundary conditions helped in determining the model configuration with the least error for quantifying the urban heat island (UHI) effect. The diurnal cycle and the spatial pattern of UHI were investigated, and it was found that the mean UHI intensity peaked in the early morning at 2.2 °C, reaching 3.6 °C in the Compact High Rise (LCZ1) areas. The anthropogenic heat due to indoor air conditioning was found to play a major role in all the processes studied, while the effect of the different land use types was most pronounced during nighttime and least visible near noon. The UHI circulation developed near the central catchment is found to prevent sea breezes from further propagating inland.en_US
dc.languageen
dc.publisherAmerican Geophysical Union (AGU)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1029/2018jd029796en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceWileyen_US
dc.titleHigh‐Resolution, Multilayer Modeling of Singapore's Urban Climate Incorporating Local Climate Zonesen_US
dc.typeArticleen_US
dc.identifier.citationMughal, M. O., Li, X.-X., Yin, T., Martilli, A., Brousse, O., Dissegna, M. A., & Norford, L. K. (2019). High-resolution, multilayer modeling of Singapore's urban climate incorporating local climate zones. Journal of Geophysical Research: Atmospheres, 124, 7764– 7785en_US
dc.contributor.departmentSingapore-MIT Alliance in Research and Technology (SMART)
dc.contributor.departmentMassachusetts Institute of Technology. Department of Architecture
dc.relation.journalJournal of Geophysical Research: Atmospheresen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2022-02-10T17:39:49Z
mit.journal.volume124en_US
mit.journal.issue14en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work Neededen_US


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