Articles | Volume 16, issue 15
https://doi.org/10.5194/gmd-16-4385-2023
https://doi.org/10.5194/gmd-16-4385-2023
Development and technical paper
 | 
01 Aug 2023
Development and technical paper |  | 01 Aug 2023

The development and validation of the Inhomogeneous Wind Scheme for Urban Street (IWSUS-v1)

Zhenxin Liu, Yuanhao Chen, Yuhang Wang, Cheng Liu, Shuhua Liu, and Hong Liao

Related authors

Estimation of secondary PM2.5 in China and the United States using a multi-tracer approach
Haoran Zhang, Nan Li, Keqin Tang, Hong Liao, Chong Shi, Cheng Huang, Hongli Wang, Song Guo, Min Hu, Xinlei Ge, Mindong Chen, Zhenxin Liu, Huan Yu, and Jianlin Hu
Atmos. Chem. Phys., 22, 5495–5514, https://doi.org/10.5194/acp-22-5495-2022,https://doi.org/10.5194/acp-22-5495-2022, 2022
Short summary

Related subject area

Atmospheric sciences
Quantifying the analysis uncertainty for nowcasting application
Yanwei Zhu, Aitor Atencia, Markus Dabernig, and Yong Wang
Geosci. Model Dev., 18, 1545–1559, https://doi.org/10.5194/gmd-18-1545-2025,https://doi.org/10.5194/gmd-18-1545-2025, 2025
Short summary
Improving the ensemble square root filter (EnSRF) in the Community Inversion Framework: a case study with ICON-ART 2024.01
Joël Thanwerdas, Antoine Berchet, Lionel Constantin, Aki Tsuruta, Michael Steiner, Friedemann Reum, Stephan Henne, and Dominik Brunner
Geosci. Model Dev., 18, 1505–1544, https://doi.org/10.5194/gmd-18-1505-2025,https://doi.org/10.5194/gmd-18-1505-2025, 2025
Short summary
The MESSy DWARF (based on MESSy v2.55.2)
Astrid Kerkweg, Timo Kirfel, Duong H. Do, Sabine Griessbach, Patrick Jöckel, and Domenico Taraborrelli
Geosci. Model Dev., 18, 1265–1286, https://doi.org/10.5194/gmd-18-1265-2025,https://doi.org/10.5194/gmd-18-1265-2025, 2025
Short summary
An enhanced emission module for the PALM model system 23.10 with application for PM10 emission from urban domestic heating
Edward C. Chan, Ilona J. Jäkel, Basit Khan, Martijn Schaap, Timothy M. Butler, Renate Forkel, and Sabine Banzhaf
Geosci. Model Dev., 18, 1119–1139, https://doi.org/10.5194/gmd-18-1119-2025,https://doi.org/10.5194/gmd-18-1119-2025, 2025
Short summary
Identifying lightning processes in ERA5 soundings with deep learning
Gregor Ehrensperger, Thorsten Simon, Georg J. Mayr, and Tobias Hell
Geosci. Model Dev., 18, 1141–1153, https://doi.org/10.5194/gmd-18-1141-2025,https://doi.org/10.5194/gmd-18-1141-2025, 2025
Short summary

Cited articles

Chen, Y., Liu, Z., Wang, Y., Liu, C., Liu, S., and Liao, H.: krmyArag/IWSUS: IWSUS Gothenburg case v0.1 (Urban), Zenodo [code], https://doi.org/10.5281/zenodo.8167365, 2023. 
Ai, Z. T. and Mak, C. M.: CFD simulation of flow in a long street canyon under a perpendicular wind direction: Evaluation of three computational settings, Build. Environ., 114, 293–306, https://doi.org/10.1016/j.buildenv.2016.12.032, 2017. 
Ai, Z. T. and Mak, C. M.: Wind-induced single-sided natural ventilation in buildings near a long street canyon: CFD evaluation of street configuration and envelope design, J. Wind Eng. Ind. Aerod., 172, 96–106, https://doi.org/10.1016/j.jweia.2017.10.024, 2018. 
Baklanov, A. A., Grisogono, B., Bornstein, R., Mahrt, L., Zilitinkevich, S. S., Taylor, P., Larsen, S. E., Rotach, M. W., and Fernando, H.: The nature, theory, and modeling of atmospheric planetary boundary layers, B. Am. Meteorol. Soc., 92, 123–128, https://doi.org/10.1175/2010BAMS2797.1, 2011. 
Banks, R. F., Tiana-Alsina, J., Rocadenbosch, F., and Baldasano, J. M.: Performance Evaluation of the Boundary-Layer Height from Lidar and the Weather Research and Forecasting Model at an Urban Coastal Site in the North-East Iberian Peninsula, Bound.-Lay. Meteorol., 157, 265–292, https://doi.org/10.1007/s10546-015-0056-2, 2015. 
Download
Short summary
The heterogeneous layout of urban buildings leads to the complex wind field in and over the urban canopy. Large discrepancies between the observations and the current simulations result from misunderstanding the character of the wind field. The Inhomogeneous Wind Scheme in Urban Street (IWSUS) was developed to simulate the heterogeneity of the wind speed in a typical street and then improve the simulated energy budget in the lower atmospheric layer over the urban canopy.
Share