Impact of Urban Roughness Representation on Regional Hydrometeorology: An Idealized Study

2021 ◽  
Vol 126 (4) ◽  
Author(s):  
Qi Li ◽  
Jiachuan Yang ◽  
Long Yang
Keyword(s):  
Urban Roughness

Comparison of selected approaches for urban roughness determination based on voronoi cells

2016 ◽  
Vol 61 (1) ◽  
pp. 189-198 ◽  
Author(s):  
Christine Ketterer ◽  
Marcel Gangwisch ◽  
Dominik Fröhlich ◽  
Andreas Matzarakis
Keyword(s):  
Voronoi Cells ◽  
Urban Roughness

Towards an urban roughness parameterisation using interferometric SAR data taking the Metropolitan Region of Hamburg as an example

2011 ◽  
Vol 20 (1) ◽  
pp. 29-37 ◽  
Author(s):  
Benjamin Bechtel ◽  
Thomas Langkamp ◽  
Felix Ament ◽  
Jürgen Böhner ◽  
Chrstian Daneke ◽  
...  
Keyword(s):  
Metropolitan Region ◽  
Urban Roughness ◽  
Sar Data ◽  
Interferometric Sar

Distributed LES-based drag parameterisation for heterogeneous urban neighbourhoods

2020 ◽  
Author(s):  
Birgit Sützl ◽  
Maarten van Reeuwijk ◽  
Gabriel Rooney
Keyword(s):  
Drag Force ◽  
Weather Prediction ◽  
Urban Canopy ◽  
Additional Stress ◽  
Momentum Exchange ◽  
Urban Neighbourhoods ◽  
Large Eddy ◽  
Urban Roughness ◽  
The Vertical Distribution ◽  
Stress Term

<p><span>The form and density of buildings modify the air flow and momentum exchange within cities, and therefore strongly affect local wind, temperature, humidity and pollution. Numerical weather prediction (NWP) models currently do not account for heterogeneity in their surface layer parameterisation. Regional models represent buildings, if at all, based on quantities such as plan and frontal area indices, and parameterise their impact at the lowest grid level, even though buildings can protrude a significant height into the atmospheric boundary layer.</span></p><p><span>To investigate how to parameterise urban roughness in NWP, we analysed high-resolution building-resolving large eddy simulations (LES) with the uDALES model over a range of heterogeneous urban neighbourhoods. The simulation setups have a similar building density and frontal aspect ratio, but vary in complexity with different building heights, plan areas and street geometries. Using the LES data we developed a parameterisation model that describes the vertical distribution of building drag inside a heterogeneous urban canopy. The drag force exerted on the atmosphere represents the momentum loss in the urban canopy due to buildings and can be incorporated as additional stress term in the momentum equations. The parameterisation represents the spatial heterogeneity effects in a one-dimensional vertical function, and links the building drag force to the heterogeneity of building layouts. A characterisation of the vertical and horizontal heterogeneity of built-up neighbourhoods is used as model input.</span></p>

scholarly journals NUMERICAL MODELING OF TSUNAMI INUNDATION USING SUBGRID SCALE URBAN ROUGHNESS PARAMETERIZATION

2018 ◽  
pp. 86 ◽  
Author(s):  
Nobuki Fukui ◽  
Adi Prasetyo ◽  
Nobuhito Mori
Keyword(s):  
Numerical Modeling ◽  
Drag Force ◽  
Flow Direction ◽  
Tohoku Earthquake ◽  
Force Model ◽  
Tsunami Inundation ◽  
Medium Resolution ◽  
Tsunami Hazard Assessment ◽  
Urban Roughness ◽  
Topography Data

The importance of accurate numerical modeling of tsunami inundation in an urban area has clearly realized due to the devastating damage from 2011 Tohoku Earthquake Tsunami. Although, numerical inundation simulations using high resolution topography data (O(1m)), the medium resolution tsunami inundation model (O(10m)-O(100m)) needs and useful for tsunami hazard assessment. This study develops and validates a numerical model of tsunami inundation using upscaled urban roughness parameterization: Drag Force Model (DFM) which deals with the effect of structures as drag force acting on flow based on physical modeling. The validation of the DFM reveals that the DFM can express the effect of the flow direction and inundation ratio.

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