0587637 - ÚI 2025 RIV NL eng J - Journal Article
Esau, I. - Belda, M. - Miles, V. - Geletič, Jan - Resler, Jaroslav - Krč, Pavel - Bauerová, P. - Bureš, Martin - Eben, Kryštof - Fuka, V. - Jareš, R. - Karel, J. - Keder, J. - Patiño, W. - Pettersson, L. H. - Radović, J. - Řezníček, Hynek - Šindelářová, A. - Vlček, O.
A city-scale turbulence-resolving model as an essential element of integrated urban services.
Urban Climate. Roč. 56, July 2024 (2024), č. článku 102059. ISSN 2212-0955. E-ISSN 2212-0955
R&D Projects: GA TA ČR(CZ) TO01000219
Institutional support: RVO:67985807
Keywords : Integrated urban services * PALM modeling system * Urban air quality * Urban thermal comfort * Turbulence-resolving model development * Storylines and simulations
OECD category: Meteorology and atmospheric sciences
Impact factor: 6.4, year: 2022
Method of publishing: Open access
https://doi.org/10.1016/j.uclim.2024.102059

Large-eddy simulation (LES) models, such as the PALM modeling system in this study, are actively used for urban micro-climate modeling. We consider urban LES in a broader context as a mature high-resolution model for integrated urban services (IUS), which is an initiative of the World Meteorological Organization that provides a modeling component for urban decision-support systems. A decision-support system requires iterations of quantitative information from knowledge providers and qualitative expert assessments from communities of practice. We present two pilot PALM-aided IUS from the “Turbulent-resolving urban modeling of air quality and thermal comfort” (TURBAN) project. One pilot has its focus on an air quality service contributing to a decision-support system of the port of Bergen, Norway. Another pilot contributes to air quality and thermal comfort services in the city of Prague, Czech Republic. Co-production sessions with stakeholders identified critical enablers for urban LES in IUS. We present integration and interpretation of the modeling information within the decision-making process with a “storylines and simulations” (SAS) approach based on a web-based geoinformation system (WebGIS).
Permanent Link: https://hdl.handle.net/11104/0354752