The urban wind island from a three-dimensional perspective
The Urban Wind Island (UWI), a small but persistent positive mean boundary-layer wind anomaly over the city as a whole, has previously been revealed using a simplified conceptual model of the convective atmospheric boundary layer. This study extends the UWI research into less idealised cases by using the three-dimensional WRF mesoscale model for Amsterdam (The Netherlands) and its surroundings, at 500 m grid spacing. Two summers of forecast results for in total 173 days are used to identify whether the UWI persists in a three-dimensional modelling environment, and which conditions are optimal for its formation and persistence. In order to focus only on wind modified by surface processes, large-scale influences which modify wind speed, such as frontal passages, are identified and eliminated from the dataset. We then find that a positive UWI is present roughly half the time, with an order of magnitude that is similar to the previous work (∼ 0.2–0.5 ms−1). In addition we find an evening UWI that is caused by the delayed onset of the transition from an unstable to a stable or a neutral boundary layer in the urban area, while the rural area is already stable and calm.
Main Authors: | Droste, A.M., Holtslag, A.A.M., Steeneveld, G.J. |
---|---|
Format: | Article/Letter to editor biblioteca |
Language: | English |
Subjects: | Urban boundary layer, Urban wind island, WRF model, Wind speed, |
Online Access: | https://research.wur.nl/en/publications/the-urban-wind-island-from-a-three-dimensional-perspective |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Introducing the urban wind island effect
by: Droste, A.M., et al. -
Surface and Atmospheric Driven Variability of the Single-Layer Urban Canopy Model Under Clear-Sky Conditions Over London
by: Tsiringakis, A., et al. -
On- and off-line evaluation of the single-layer urban canopy model in London summertime conditions
by: Tsiringakis, Aristofanis, et al. -
Projected near-surface wind speed and wind energy over Central Asia using dynamical downscaling with bias-corrected global climate models
by: Zha, Jinlin, et al.
Published: (2024-08) -
On Wind and Roughness over Land
by: Verkaik, J.W.