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Article: Refined dataset to describe the complex urban environment of Hong Kong for urban climate modelling studies at the mesoscale

TitleRefined dataset to describe the complex urban environment of Hong Kong for urban climate modelling studies at the mesoscale
Authors
Issue Date2020
PublisherSpringer Wien. The Journal's web site is located at http://www.springer.com/earth+sciences+and+geography/atmospheric+sciences/journal/704
Citation
Theoretical and Applied Climatology, 2020, v. 142, p. 129-150 How to Cite?
AbstractUrban climate models are indispensable tools for the evaluation of climatic risks faced by the growing urban population. In order to accurately simulate the urban surface energy balance at a high spatial resolution, it is important to provide models with detailed input data that can adequately describe the spatial variation of land covers, urban morphology, construction materials, and building functions within an urban area. Using Hong Kong-a city well-known for its complex, high-rise urban environment-as the testing ground, this study aims to present a geographic information system-based workflow for the construction of a refined urban database. Firstly, maps of land cover tiles, pervious and impervious surface fractions, building height, and other input parameters required by mesoscale atmospheric models are derived from multiple data sources including administrative building data, satellite images, and land use surveys. Secondly, a total of 18 representative building archetypes, with their corresponding architectural characteristics and occupant behaviour schedules, are defined. This allows for models to take into account the radiative, thermal, and dynamic interactions between buildings and the atmosphere, as well as the anthropogenic heat fluxes. Finally, locally adapted ranges of urban morphological parameters for the different local climate zones (LCZs) are derived, enabling the expansion of data coverage to neighbouring areas of Hong Kong, where detailed urban data are not readily available. Uncertainties of the refined database and limitations of the LCZ scheme are also discussed so that a similar approach may be adapted and applied to other cities in the world.
Persistent Identifierhttp://hdl.handle.net/10722/306283
ISSN
2020 Impact Factor: 3.179
2020 SCImago Journal Rankings: 0.935
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKwok, YT-
dc.contributor.authorDe Munck, C-
dc.contributor.authorSchoetter, R-
dc.contributor.authorRen, C-
dc.contributor.authorLau, KKL-
dc.date.accessioned2021-10-20T10:21:24Z-
dc.date.available2021-10-20T10:21:24Z-
dc.date.issued2020-
dc.identifier.citationTheoretical and Applied Climatology, 2020, v. 142, p. 129-150-
dc.identifier.issn0177-798X-
dc.identifier.urihttp://hdl.handle.net/10722/306283-
dc.description.abstractUrban climate models are indispensable tools for the evaluation of climatic risks faced by the growing urban population. In order to accurately simulate the urban surface energy balance at a high spatial resolution, it is important to provide models with detailed input data that can adequately describe the spatial variation of land covers, urban morphology, construction materials, and building functions within an urban area. Using Hong Kong-a city well-known for its complex, high-rise urban environment-as the testing ground, this study aims to present a geographic information system-based workflow for the construction of a refined urban database. Firstly, maps of land cover tiles, pervious and impervious surface fractions, building height, and other input parameters required by mesoscale atmospheric models are derived from multiple data sources including administrative building data, satellite images, and land use surveys. Secondly, a total of 18 representative building archetypes, with their corresponding architectural characteristics and occupant behaviour schedules, are defined. This allows for models to take into account the radiative, thermal, and dynamic interactions between buildings and the atmosphere, as well as the anthropogenic heat fluxes. Finally, locally adapted ranges of urban morphological parameters for the different local climate zones (LCZs) are derived, enabling the expansion of data coverage to neighbouring areas of Hong Kong, where detailed urban data are not readily available. Uncertainties of the refined database and limitations of the LCZ scheme are also discussed so that a similar approach may be adapted and applied to other cities in the world.-
dc.languageeng-
dc.publisherSpringer Wien. The Journal's web site is located at http://www.springer.com/earth+sciences+and+geography/atmospheric+sciences/journal/704-
dc.relation.ispartofTheoretical and Applied Climatology-
dc.rightsAccepted Manuscript (AAM) This is a post-peer-review, pre-copyedit version of an article published in [insert journal title]. The final authenticated version is available online at: https://doi.org/[insert DOI]-
dc.titleRefined dataset to describe the complex urban environment of Hong Kong for urban climate modelling studies at the mesoscale-
dc.typeArticle-
dc.identifier.emailRen, C: renchao@hku.hk-
dc.identifier.authorityRen, C=rp02447-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s00704-020-03298-x-
dc.identifier.hkuros327977-
dc.identifier.volume142-
dc.identifier.issue1-2-
dc.identifier.spage129-
dc.identifier.epage150-
dc.identifier.isiWOS:000547654400001-
dc.publisher.placeAustria-

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