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Using clustering to understand intra-city warming in heatwaves: insights into Paris, Montreal, and Zurich
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SYSNO ASEP 0586698 Document Type J - Journal Article R&D Document Type The record was not marked in the RIV Subsidiary J Článek ve WOS Title Using clustering to understand intra-city warming in heatwaves: insights into Paris, Montreal, and Zurich Author(s) Zhao, Y. (CH)
Strebel, D. (CH)
Derome, D. (CA)
Esau, I. (NO)
Li, Q. (US)
Carmeliet, J. (CH)Article number 064002 Source Title Environmental Research Letters. - : Institute of Physics Publishing - ISSN 1748-9326
Roč. 19, May 2024 (2024)Number of pages 12 s. Publication form Online - E Language eng - English Country US - United States Keywords clustering ; intra-city warming ; heatwaves ; ground storage flux ; hysteresis loop OECD category Meteorology and atmospheric sciences R&D Projects TO01000219 GA TA ČR - Technology Agency of the Czech Republic (TA ČR) Method of publishing Open access UT WOS 001218737400001 EID SCOPUS 85193215925 DOI https://doi.org/10.1088/1748-9326/ad456f Description in English We introduce a novel methodological advancement by clustering paired near-surface air temperature with the planetary boundary layer height to characterize intra-city clusters for analytics. To illustrate this approach, we analyze three heatwaves (HWs): the 2019 HW in Paris, the 2018 HW in Montreal, and the 2017 HW in Zurich. We assess cluster-based characteristics before, during, and after heatwave events. While the urban clusters identified by this clustering align well with built-up areas obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) land cover data, additional local hot spots spanning several kilometers can also be recognized, extending outside the built-up areas. Using the objective hysteresis model, we further determine the overall strength coefficient of the hysteresis loop between ground storage flux and all-wave downward radiative flux, ranging from 0.414 to 0.457 for urban clusters and from 0.126 to 0.157 for rural clusters during the heatwave periods. Across all cities, we observe a consistent refueling-restoration mode in the cumulative ground heat flux as the heatwaves progress. Future developments of this proposed two-component clustering approach, with the integration of more influential physics and advances in spatial and temporal resolutions, will offer a more comprehensive characterization of cities for urban climate analytics. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2025 Electronic address https://doi.org/10.1088/1748-9326/ad456f
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