The Microscale Urban Surface Energy (MUSE) Model for Real Urban Application

Lee, Doo-Il; Lee, Sang‐Hyun

doi:10.3390/atmos11121347

Cited by 5 publications

(2 citation statements)

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“…Urban surfaces are typically oriented in a quasitwo-dimensional street canyon (e.g. Masson, 2000;Kusaka et al, 2001;Martilli et al, 2002;Lee and Park, 2008;Schubert et al, 2012;Mussetti et al, 2020) or regularly spaced single buildings of equal size (e.g. Kondo et al, 2005).…”

Section: Overview Of Current Solutionsmentioning

confidence: 99%

Radiative Transfer Model 3.0 integrated into the PALM model system 6.0

et al. 2021

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Abstract. The Radiative Transfer Model (RTM) is an explicitly resolved three-dimensional multi-reflection radiation model integrated into the PALM modelling system. It is responsible for modelling complex radiative interactions within the urban canopy. It represents a key component in modelling energy transfer inside the urban layer and consequently PALM's ability to provide explicit simulations of the urban canopy at metre-scale resolution. This paper presents RTM version 3.0, which is integrated into the PALM modelling system version 6.0. This version of RTM has been substantially improved over previous versions. A more realistic representation is enabled by the newly simulated processes, e.g. the interaction of longwave radiation with the plant canopy, evapotranspiration and latent heat flux, calculation of mean radiant temperature, and bidirectional interaction with the radiation forcing model. The new version also features novel discretization schemes and algorithms, namely the angular discretization and the azimuthal ray tracing, which offer significantly improved scalability and computational efficiency, enabling larger parallel simulations. It has been successfully tested on a realistic urban scenario with a horizontal size of over 6 million grid points using 8192 parallel processes.

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Section: Overview Of Current Solutionsmentioning

confidence: 99%

Radiative Transfer Model 3.0 integrated into the PALM model system 6.0

et al. 2021

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“…I G U R E A17 MUSE (Microscale Urban Surface Energy)(Lee and Lee, 2020) is a building-resolving microscale urban surface model for real urban meteorological and environmental applications. It represents urban buildings on a three-dimensional Cartesian grid and solves urban physical processes of short-wave and long-wave radiative transfer, turbulent exchanges of momentum and heat, and conductive heat transfer into urban subsurfaces.…”

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confidence: 99%

Evaluation of 30 urban land surface models in the Urban‐PLUMBER project: Phase 1 results

Lipson,

Grimmond,

Best

et al. 2023

Quart J Royal Meteoro Soc

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Accurately predicting weather and climate in cities is critical for safeguarding human health and strengthening urban resilience. Multi‐model evaluations can lead to model improvements, however there have been no major intercomparisons of urban‐focused land surface models in over a decade. Here, in Phase 1 of the Urban‐PLUMBER project, we evaluate 30 land surface models' ability to simulate surface energy fluxes critical to atmospheric meteorological and air quality simulations. We establish minimum and upper performance expectations for participating models using simple information‐limited models as benchmarks. Compared with the last major model intercomparison at the same site, we find broad improvement in the current cohort's predictions of shortwave radiation, sensible and latent heat fluxes, but little or no improvement in longwave radiation and momentum fluxes. Models with a simple urban representation (e.g. “slab” schemes) generally perform well, particularly when combined with sophisticated hydrological/vegetation models. Some mid‐complexity models (e.g. “canyon” schemes) also perform well, indicating efforts to integrate vegetation and hydrology processes have paid dividends. The most complex models that resolve three‐dimensional interactions between buildings in general did not perform as well as other categories. However, these models also tended to have the simplest representations of hydrology and vegetation. Models without any urban representation (i.e. vegetation‐only land surface models) performed poorly for latent heat fluxes, and reasonably for other energy fluxes at this suburban site. Our analysis identified widespread human errors in initial submissions that substantially affected model performances. Although significant efforts are applied to correct these errors, we conclude that human factors are likely to influence results in this (or any) model intercomparison, particularly where participating scientists have varying experience and first languages. These initial results are for one suburban site, and future phases of Urban‐PLUMBER will evaluate models across twenty sites in different urban and regional climate zones.

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