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Article

Development of a Building-Scale Meteorological Prediction System Including a Realistic Surface Heating

1
Department of Atmospheric Science, Kongju National University, Gongju 32588, Korea
2
Division of Earth Environmental System Science, Pukyong National University, Busan 48513, Korea
3
Research Center for Atmospheric Environment, Hankuk University of Foreign Studies, Yongin 17035, Korea
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(1), 67; https://doi.org/10.3390/atmos11010067
Received: 11 December 2019 / Revised: 29 December 2019 / Accepted: 2 January 2020 / Published: 4 January 2020
(This article belongs to the Special Issue Urban Meteorology)
Microscale urban meteorological models have been widely used in interpreting atmospheric flow and thermal discomfort in urban environments, but most previous studies examined the urban flow and thermal environments for an idealized urban morphology with imposing neutral or homogeneous thermal forcing. This study has developed a new building-scale meteorological prediction system that extends the ability to predict microscale meteorological fields in real urban environments. A computational fluid dynamics (CFD) model has been developed based on the non-hydrostatic incompressible Reynolds-averaged Navier-Stokes (RANS) equations with a standard k-ε turbulence model, and the microscale urban surface energy (MUSE) model was coupled with the CFD model to provide realistic surface thermal boundary conditions in real urban environments. It is driven by the large scale wind and temperature fields predicted by the Korean operational weather prediction model. The validation results of the new building-scale meteorological prediction system were presented against wind tunnel data and field measurements, showing its ability to predict in-canyon flows and thermal environments in association with spatiotemporal variations of surface temperatures in real urban environments. The effects of realistic surface heating on pedestrian level wind and thermal environments have been investigated through sensitivity simulations of different surface heating conditions in the highly built-up urban area. The results implied that the inclusion of surface thermal forcing is important in interpreting urban flow and thermal environment of the urban area, highlighting a realistic urban surface heating that should be considered in predicting building-scale meteorology over real urban environments. View Full-Text
Keywords: computational fluid dynamics (CFD); heterogeneous heating; urban flow; microscale urban surface energy (MUSE) model; thermal discomfort computational fluid dynamics (CFD); heterogeneous heating; urban flow; microscale urban surface energy (MUSE) model; thermal discomfort
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MDPI and ACS Style

Kim, D.-J.; Lee, D.-I.; Kim, J.-J.; Park, M.-S.; Lee, S.-H. Development of a Building-Scale Meteorological Prediction System Including a Realistic Surface Heating. Atmosphere 2020, 11, 67. https://doi.org/10.3390/atmos11010067

AMA Style

Kim D-J, Lee D-I, Kim J-J, Park M-S, Lee S-H. Development of a Building-Scale Meteorological Prediction System Including a Realistic Surface Heating. Atmosphere. 2020; 11(1):67. https://doi.org/10.3390/atmos11010067

Chicago/Turabian Style

Kim, Dong-Jin, Doo-Il Lee, Jae-Jin Kim, Moon-Soo Park, and Sang-Hyun Lee. 2020. "Development of a Building-Scale Meteorological Prediction System Including a Realistic Surface Heating" Atmosphere 11, no. 1: 67. https://doi.org/10.3390/atmos11010067

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