Articles | Volume 25, issue 7
https://doi.org/10.5194/nhess-25-2481-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-25-2481-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jul 2025
Research article |
| 24 Jul 2025
| 24 Jul 2025
How does perceived heat stress differ between urban forms and human vulnerability profiles? Case study Berlin
Nimra Iqbal
CORRESPONDING AUTHOR
Institute of Spatial and Regional Planning (IREUS), University of Stuttgart, 70569 Stuttgart, Germany
Marvin Ravan
Institute of Spatial and Regional Planning (IREUS), University of Stuttgart, 70569 Stuttgart, Germany
Zina Mitraka
Remote Sensing Lab, Foundation for Research and Technology Hellas, Heraklion, 70013, Greece
Joern Birkmann
Institute of Spatial and Regional Planning (IREUS), University of Stuttgart, 70569 Stuttgart, Germany
Sue Grimmond
Department of Meteorology, University of Reading, RG6 6ET, Reading, UK
Denise Hertwig
Department of Meteorology, University of Reading, RG6 6ET, Reading, UK
Nektarios Chrysoulakis
Remote Sensing Lab, Foundation for Research and Technology Hellas, Heraklion, 70013, Greece
Giorgos Somarakis
Remote Sensing Lab, Foundation for Research and Technology Hellas, Heraklion, 70013, Greece
Angela Wendnagel-Beck
Institute of Spatial and Regional Planning (IREUS), University of Stuttgart, 70569 Stuttgart, Germany
Emmanouil Panagiotakis
Remote Sensing Lab, Foundation for Research and Technology Hellas, Heraklion, 70013, Greece
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Geosci. Model Dev., 19, 8709–8729, https://doi.org/10.5194/gmd-19-8709-2026, https://doi.org/10.5194/gmd-19-8709-2026, 2026
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This study introduces a novel approach to incorporating city-specific EO (Earth Observation) data into an urban canopy model named BEP-BEM (Building Effect Parameterization-Building Energy Model) integrated in WRF (Weather Research and Forecasting). We highlight the added value given by BEP-BEM in the representation of the urban processes compared to a slab urban bulk approach. The implementation of the EO data improved specific aspects of the model performance.
Alohotsy Rafalimanana, Thomas Lauvaux, Charbel Abdallah, Mali Chariot, Michel Ramonet, Josselin Doc, Olivier Laurent, Morgan Lopez, Anja Raznjevic, Maarten Krol, Leena Järvi, Andreas Christen, Dana Looschelders, Leslie David, Olivier Sanchez, Laura Bignotti, Benjamin Loubet, Sue Grimmond, and William Morrison
EGUsphere, https://doi.org/10.5194/egusphere-2026-2581, https://doi.org/10.5194/egusphere-2026-2581, 2026
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Using WRF-Chem simulations over Greater Paris at resolutions from 900 m to 100 m (LES), we show that horizontal resolution critically shapes urban CO2 plume structure. Mesoscale runs underestimate spatial contrasts by a factor of 2–3, with representativeness errors of 29–61 % (near-surface) and 21–59 % (XCO2). LES improves intra-urban variability and enables more accurate spatial attribution of emissions, a key step toward reliable top-down estimates for city-scale climate mitigation.
Dana Looschelders, Andreas Christen, Sue Grimmond, Simone Kotthaus, and William Morrison
EGUsphere, https://doi.org/10.5194/egusphere-2026-2444, https://doi.org/10.5194/egusphere-2026-2444, 2026
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Using seven automatic lidar-ceilometers located on a 105 km transect in the Paris region, we investigate modifications of the mixed-layer height (MLH) dynamics. Over and downwind of Paris, MLHs are deeper and grow faster during the morning transition. In summer, the spatial extent of urban effects (> 60 km downwind) and absolute MLH spatial differences are larger. In winter, relative MLH differences are larger. The MLH is deeper in the city at the start of the morning transition.
Alohotsy Rafalimanana, Thomas Lauvaux, Charbel Abdallah, Mali Chariot, Michel Ramonet, Josselin Doc, Olivier Laurent, Morgan Lopez, Anja Raznjevic, Maarten Krol, Leena Järvi, Andreas Christen, Dana Looschelders, Leslie David, Olivier Sanchez, Laura Bignotti, Benjamin Loubet, Sue Grimmond, and William Morrison
EGUsphere, https://doi.org/10.5194/egusphere-2026-2109, https://doi.org/10.5194/egusphere-2026-2109, 2026
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Yuya Takane, Yukihiro Kikegawa, Zhiwen Luo, Hiroyuki Kusaka, and Sue Grimmond
EGUsphere, https://doi.org/10.5194/egusphere-2026-1307, https://doi.org/10.5194/egusphere-2026-1307, 2026
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Tiancheng Ma, Denise Hertwig, Megan McGrory, Matthew Paskin, and Sue Grimmond
EGUsphere, https://doi.org/10.5194/egusphere-2025-6060, https://doi.org/10.5194/egusphere-2025-6060, 2026
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Transport impacts emissions (heat, pollutants), which needs to be represented in high-resolution urban models. We introduce the transport model MATSDA and evaluate its route finding for car journeys in London, UK. The model shows high skill at identifying major travel corridors and associated travel durations, capturing day type and time-of-day dependency (rush-hour v. off-peak). MATSDA offers dynamic human movement patterns for transport research in the context of urban climate modelling.
Russell H. Glazer, Sue Grimmond, Lewis Blunn, Daniel Fenner, Humphrey Lean, Andreas Christen, Will Morrison, Dana Looschelders, and Jonathan K. P. Shonk
Weather Clim. Dynam., 6, 1723–1742, https://doi.org/10.5194/wcd-6-1723-2025, https://doi.org/10.5194/wcd-6-1723-2025, 2025
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In this study we use very high resolution numerical weather prediction model simulations of the Berlin, Germany region along with assessment of field campaign observations to understand better the impact of urban areas on the near-surface boundary layer. We find that there a clear affect of urban areas up to 15 km downwind of the city centre in both the field campaign observations and the high resolution model.
William Morrison, Dana Looschelders, Jonnathan Céspedes, Bernie Claxton, Marc-Antoine Drouin, Jean-Charles Dupont, Aurélien Faucheux, Martial Haeffelin, Christopher C. Holst, Simone Kotthaus, Valéry Masson, James McGregor, Jeremy Price, Matthias Zeeman, Sue Grimmond, and Andreas Christen
Earth Syst. Sci. Data, 17, 6507–6529, https://doi.org/10.5194/essd-17-6507-2025, https://doi.org/10.5194/essd-17-6507-2025, 2025
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We conducted research using sophisticated wind sensors to better understand wind patterns in Paris. By installing these sensors across the city, we gathered detailed data on wind speeds and directions from 2022 to 2024. This information helps improve weather and climate models, making them more accurate for city environments. Our findings offer valuable insights for scientists studying urban air and weather, improving predictions and understanding of city-scale atmospheric processes.
Alessa Truedinger, Joern Birkmann, Mark Fleischhauer, and Celso Ferreira
Nat. Hazards Earth Syst. Sci., 25, 2097–2113, https://doi.org/10.5194/nhess-25-2097-2025, https://doi.org/10.5194/nhess-25-2097-2025, 2025
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In post-disaster reconstruction, emphasis should be placed on critical and sensitive infrastructures. In Germany, as in other countries, sensitive infrastructures have not yet been focused on; therefore, we developed a method for determining the risk that sensitive infrastructures are facing in the context of riverine and pluvial flooding. The easy-to-use assessment framework can be applied to various sensitive infrastructures, e.g., to qualify and accelerate decisions in the reconstruction process.
Joanna M. McMillan, Franziska Göttsche, Joern Birkmann, Rainer Kapp, Corinna Schmidt, Britta Weisser, and Ali Jamshed
Nat. Hazards Earth Syst. Sci., 25, 1573–1596, https://doi.org/10.5194/nhess-25-1573-2025, https://doi.org/10.5194/nhess-25-1573-2025, 2025
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Adapting to climate extremes is a challenge for spatial planning. Risk maps that include not just a consideration of hazards but also social vulnerability can help. We develop social vulnerability maps for the Stuttgart region, Germany. We show the maps, describe how and why we developed them, and provide an analysis of practitioners' needs and their feedback. Insights presented in this paper can help to improve map usability and to better link research and planning practice.
Natalie E. Theeuwes, Janet F. Barlow, Antti Mannisenaho, Denise Hertwig, Ewan O'Connor, and Alan Robins
Atmos. Meas. Tech., 18, 1355–1371, https://doi.org/10.5194/amt-18-1355-2025, https://doi.org/10.5194/amt-18-1355-2025, 2025
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Matthias Zeeman, Andreas Christen, Sue Grimmond, Daniel Fenner, William Morrison, Gregor Feigel, Markus Sulzer, and Nektarios Chrysoulakis
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Hannes Lauer, Carmeli Marie C. Chaves, Evelyn Lorenzo, Sonia Islam, and Jörn Birkmann
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Ting Sun, Hamidreza Omidvar, Zhenkun Li, Ning Zhang, Wenjuan Huang, Simone Kotthaus, Helen C. Ward, Zhiwen Luo, and Sue Grimmond
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Megan A. Stretton, William Morrison, Robin J. Hogan, and Sue Grimmond
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Junxia Dou, Sue Grimmond, Shiguang Miao, Bei Huang, Huimin Lei, and Mingshui Liao
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The hydroxyl (OH) and closely coupled hydroperoxyl (HO2) radicals are vital for their role in the removal of atmospheric pollutants. In less polluted regions, atmospheric models over-predict HO2 concentrations. In this modelling study, the impact of heterogeneous uptake of HO2 onto aerosol surfaces on radical concentrations and the ozone production regime in Beijing in the summertime is investigated, and the implications for emissions policies across China are considered.
Mathew Lipson, Sue Grimmond, Martin Best, Winston T. L. Chow, Andreas Christen, Nektarios Chrysoulakis, Andrew Coutts, Ben Crawford, Stevan Earl, Jonathan Evans, Krzysztof Fortuniak, Bert G. Heusinkveld, Je-Woo Hong, Jinkyu Hong, Leena Järvi, Sungsoo Jo, Yeon-Hee Kim, Simone Kotthaus, Keunmin Lee, Valéry Masson, Joseph P. McFadden, Oliver Michels, Wlodzimierz Pawlak, Matthias Roth, Hirofumi Sugawara, Nigel Tapper, Erik Velasco, and Helen Claire Ward
Earth Syst. Sci. Data, 14, 5157–5178, https://doi.org/10.5194/essd-14-5157-2022, https://doi.org/10.5194/essd-14-5157-2022, 2022
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We describe a new openly accessible collection of atmospheric observations from 20 cities around the world, capturing 50 site years. The observations capture local meteorology (temperature, humidity, wind, etc.) and the energy fluxes between the land and atmosphere (e.g. radiation and sensible and latent heat fluxes). These observations can be used to improve our understanding of urban climate processes and to test the accuracy of urban climate models.
Will S. Drysdale, Adam R. Vaughan, Freya A. Squires, Sam J. Cliff, Stefan Metzger, David Durden, Natchaya Pingintha-Durden, Carole Helfter, Eiko Nemitz, C. Sue B. Grimmond, Janet Barlow, Sean Beevers, Gregor Stewart, David Dajnak, Ruth M. Purvis, and James D. Lee
Atmos. Chem. Phys., 22, 9413–9433, https://doi.org/10.5194/acp-22-9413-2022, https://doi.org/10.5194/acp-22-9413-2022, 2022
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Measurements of NOx emissions are important for a good understanding of air quality. While there are many direct measurements of NOx concentration, there are very few measurements of its emission. Measurements of emissions provide constraints on emissions inventories and air quality models. This article presents measurements of NOx emission from the BT Tower in central London in 2017 and compares them with inventories, finding that they underestimate by a factor of ∼1.48.
Yiqing Liu, Zhiwen Luo, and Sue Grimmond
Atmos. Chem. Phys., 22, 4721–4735, https://doi.org/10.5194/acp-22-4721-2022, https://doi.org/10.5194/acp-22-4721-2022, 2022
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Anthropogenic heat emission from buildings is important for atmospheric modelling in cities. The current building anthropogenic heat flux is simplified by building energy consumption. Our research proposes a novel approach to determine ‘real’ building anthropogenic heat emission from the changes in energy balance fluxes between occupied and unoccupied buildings. We hope to provide new insights into future parameterisations of building anthropogenic heat flux in urban climate models.
Hamidreza Omidvar, Ting Sun, Sue Grimmond, Dave Bilesbach, Andrew Black, Jiquan Chen, Zexia Duan, Zhiqiu Gao, Hiroki Iwata, and Joseph P. McFadden
Geosci. Model Dev., 15, 3041–3078, https://doi.org/10.5194/gmd-15-3041-2022, https://doi.org/10.5194/gmd-15-3041-2022, 2022
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This paper extends the applicability of the SUEWS to extensive pervious areas outside cities. We derived various parameters such as leaf area index, albedo, roughness parameters and surface conductance for non-urban areas. The relation between LAI and albedo is also explored. The methods and parameters discussed can be used for both online and offline simulations. Using appropriate parameters related to non-urban areas is essential for assessing urban–rural differences.
Cited articles
Abrahamson, V., Wolf, J., Lorenzoni, I., Fenn, B., Kovats, S., Wilkinson, P., Adger, W. N., and Raine, R.: Perceptions of heatwave risks to health: interview-based study of older people in London and Norwich, UK, J. Public Health, 31, 119–126, https://doi.org/10.1093/pubmed/fdn102, 2009.
Aburrá Valley city's Mayor's Office: Medellín Climate Action Plan 2020–2050, Municipality of Medellín, https://www.medellin.gov.co/es/wp-content/uploads/2024/03/PAC_Medellin_Libro_Digital.pdf (last access: 29 September 2024), 2021 (in Spanish).
Adelekan, I., Cartwright, A., Chow, W., Colenbrander, S., Dawson, R., Garschagen, M., Haasnoot, M., Hashizume, M., Klaus, I., Krishnaswamy, J., Ley, D., McPhearson, T., Pelling, M., Pörtner, H., Revi, A., Miranda Sara, L., P, N., Simph, S., Singh, C., Solecki, W., Thomas, A., and Trisos, C.: Climate Change in Cities and Urban Areas: Impacts, Adaptation and Vulnerability, Indian Institute for Human Settlements, https://doi.org/10.24943/SUPSV209.2022, 2022.
Amt für Statistik Berlin-Brandenburg: Einwohnerdichte, Amt für Statistik Berlin-Brandenburg, https://www.statistik-berlin-brandenburg.de/kommunalstatistik/einwohnerbestand-berlin (last access: 12 September 2022), 2022.
Aslam, A., Rana, I. A., and Bhatti, S. S.: Local climate zones and its potential for building urban resilience: a case study of Lahore, Pakistan, International Journal of Disaster Resilience in the Built Environment, 13, 248–265, https://doi.org/10.1108/IJDRBE-08-2021-0116, 2022.
Augustin, J., Hischke, S., Hoffmann, P., Castro, D., Obi, N., Czerniejewski, A., Dallner, R., and Bouwer, L. M.: Auswirkungen thermischer Belastungen auf die Gesundheit – eine bundesweite Analyse auf Grundlage von GKV-Routinedaten zwischen 2012–2021, Bundesgesundheitsbla., 68, 119–129, https://doi.org/10.1007/s00103-024-03968-5, 2025.
Babiker, M., Bazaz, A., Bertoldi, P., Creutzig, F., De Coninck, H., De Kleijne, K., Dhakal, S., Haldar, S., Jiang, K., Kılkış, Ş., Klaus, I., Krishnaswamy, J., Lwasa, S., Niamir, L., Pathak, M., Portugal Pereira, J., Revi, A., Roy, J., Seto, K., Singh, C., Some, S., Steg, L., and Ürge-Vorsatz, D.: The Summary for Urban Policymakers for IPCC AR6 Report: What the Latest Science on Climate Change Mitigation Means For Cities and Urban Areas, distilled from the IPCC Working Group III report, https://doi.org/10.24943/SUPSV310.2022, 2022.
Bäcklin, O., Lindberg, F., Thorsson, S., Rayner, D., and Wallenberg, N.: Outdoor heat stress at preschools during an extreme summer in Gothenburg, Sweden – Preschool teachers' experiences contextualized by radiation modelling, Sustain. Cities Soc., 75, 103324, https://doi.org/10.1016/j.scs.2021.103324, 2021.
Barlow, J., Best, M., Bohnenstengel, S. I., Clark, P., Grimmond, S., Lean, H., Christen, A., Emeis, S., Haeffelin, M., Harman, I. N., Lemonsu, A., Martilli, A., Pardyjak, E., Rotach, M. W., Ballard, S., Boutle, I., Brown, A., Cai, X., Carpentieri, M., Coceal O., Crawford, B., Di Sabatino, S., Dou, J., Drew, D. R., Edwards, J. M., Fallmann, J., Fortuniak, K., Gornall, J., Tobias, H, C. H., Hertwig, D., Hirano, K., Holtslag, A. A. M., Luo, Z., Mills, G., Nakayoshi, M., Pain, K., Schlünzen, K. H., Smith, S., Soulhac, L., Steeneveld, G., Sun, T., Theeuwes, N. E., Thomson, D., Voogt, J. A., Ward, H. C., Xie, Z., and Zhong, J.: Developing a Research Strategy to Better Understand, Observe, and Simulate Urban Atmospheric Processes at Kilometer to Subkilometer Scales, B. Am. Meteorol. Soc., 98, ES261–ES264, https://doi.org/10.1175/BAMS-D-17-0106.1, 2017.
Battisti, L., Pille, L., Wachtel, T., Larcher, F., and Säumel, I.: Residential Greenery: State of the Art and Health-Related Ecosystem Services and Disservices in the City of Berlin, Sustainability, 11, 1815, https://doi.org/10.3390/su11061815, 2019.
Bechtel, B., Alexander, P., Böhner, J., Ching, J., Conrad, O., Feddema, J., Mills, G., See, L., and Stewart, l.: Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities, ISPRS Int. J. Geo-Inf., 4, 199–219, https://doi.org/10.3390/ijgi4010199, 2015.
Bechtel, B., Demuzere, M., Mills, G., Zhan, W., Sismanidis, P., Small, C., and Voogt, J.: SUHI analysis using Local Climate Zones – A comparison of 50 cities, Urban Climate, 28, 100451, https://doi.org/10.1016/j.uclim.2019.01.005, 2019.
Bertram, R.: How “green corridors” are driving sustainable policies in Medellín, Heinrich Böll Foundation, https://energytransition.org/2023/12/how-green-corridors-are-driving-sustainable-policies-in-medellin/ (last access: 20 September 2024), 2023.
Birkmann, J., Cardona, O. D., Carreño, M. L., Barbat, A. H., Pelling, M., Schneiderbauer, S., Kienberger, S., Keiler, M., Alexander, D., Zeil, P., and Welle, T.: Framing vulnerability, risk and societal responses: the MOVE framework, Nat. Hazards, 67, 193–211, https://doi.org/10.1007/s11069-013-0558-5, 2013.
Birkmann, J., Welle, T., Solecki, W., Lwasa, S., and Garschagen, M.: Boost resilience of small and mid-sized cities, Nature, 537, 605–608, https://doi.org/10.1038/537605a, 2016.
Bochum Department of Social Affairs: Hitzekonzept: Obdach- und Wohnungslose bei “Hitzewellen” schützen, Amt für Soziales, Bochum Department of Social Affairs, Germany, https://www.staedteregion-aachen.de/fileadmin/user_upload/A_53/Dateien/Hitzekonzept_Obdach-u_Wohungslose_Bochum.pdf (last access: 5 December 2023), 2022.
“Cities must protect people from extreme heat”, Nature, 595, 331–332, https://doi.org/10.1038/d41586-021-01903-1, 2021.
Demuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B.: A global map of local climate zones to support earth system modelling and urban-scale environmental science, Earth Syst. Sci. Data, 14, 3835–3873, https://doi.org/10.5194/essd-14-3835-2022, 2022.
Deutschländer, T., Früh, B., Koßmann, M., Roos, M., and Wienert, U.: Berlin im Klimawandel – eine Untersuchung zum Bioklima, edited by: Behrens, U. and Grätz, A., Deutscher Wetterdienst and Senatsverwaltung für Stadtentwicklung, https://digital.zlb.de/viewer//fulltext/15490747/1/ (last access: 2 September 2023), 2010.
Dialesandro, J., Brazil, N., Wheeler, S., and Abunnasr, Y.: Dimensions of Thermal Inequity: Neighborhood Social Demographics and Urban Heat in the Southwestern U.S, Int. J. Env. Res. Pub. He., 18, 941, https://doi.org/10.3390/ijerph18030941, 2021.
Downes, N. K., Storch, H., Viet, P. Q., Diem, N. K., and Le Dinh, C.: Assessing Peri-Urbanisation and Urban Transitions between 2010 and 2020 in Ho Chi Minh City using an Urban Structure Type Approach, Urban Science, 8, 11, https://doi.org/10.3390/urbansci8010011, 2024.
Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., Hoersch, B., Isola, C., Laberinti, P., Martimort, P., Meygret, A., Spoto, F., Sy, O., Marchese, F., and Bargellini, P.: Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services, Remote Sens. Environ., 120, 25–36, https://doi.org/10.1016/j.rse.2011.11.026, 2012.
Eldesoky, A. H., Gil, J., and Pont, M. B.: Combining environmental and social dimensions in the typomorphological study of urban resilience to heat stress, Sustain. Cities Soc., 83, 103971, https://doi.org/10.1016/j.scs.2022.103971, 2022.
Evasys GmbH: Evasys, Evasys GmbH, Lüneburg, Germany, https://evasys.de/evasys/ (last access: 15 July 2025), 2021.
Feldmeyer, D., Birkmann, J., and Welle, T.: Development of Human Vulnerability 2012–2017, J. Extr. Even., 4, 1850005, https://doi.org/10.1142/S2345737618500057, 2017.
Feldmeyer, D., Wilden, D., Kind, C., Kaiser, T., Goldschmidt, R., Diller, C., and Birkmann, J.: Indicators for Monitoring Urban Climate Change Resilience and Adaptation, Sustainability, 11, 2931, https://doi.org/10.3390/su11102931, 2019.
Fenner, D., Meier, F., Bechtel, B., Otto, M., and Scherer, D.: Intra and inter “local climate zone” variability of air temperature as observed by crowdsourced citizen weather stations in Berlin, Germany, Meteorol. Z., 26, 525–547, https://doi.org/10.1127/metz/2017/0861, 2017.
Fenner, D., Christen, A., Grimmond, S., Meier, F., Morrison, W., Zeeman, M., Barlow, J., Birkmann, J., Blunn, L., Chrysoulakis, N., Clements, M., Glazer, R., Hertwig, D., Kotthaus, S., König, K., Looschelders, D., Mitraka, Z., Poursanidis, D., Tsirantonakis, D., Bechtel, B., Benjamin, K., Beyrich, F., Briegel, F., Feigel, G., Gertsen, C., Iqbal, N., Kittner, J., Lean, H., Liu, Y., Luo, Z., McGrory, M., Metzger, S., Paskin, M., Ravan, M., Ruhtz, T., Saunders, B., Scherer, D., Smith, S. T., Stretton, M., Trachte, K., and van Hove, M.: urbisphere-Berlin Campaign: Investigating Multiscale Urban Impacts on the Atmospheric Boundary Layer, B. Am. Meteorol. Soc., 105, E1929–E1961, https://doi.org/10.1175/BAMS-D-23-0030.1, 2024.
Franck, U., Krüger, M., Schwarz, N., Grossmann, K., Röder, S., and Schlink, U.: Heat stress in urban areas: Indoor and outdoor temperatures in different urban structure types and subjectively reported well-being during a heat wave in the city of Leipzig, Meteorol. Z., 22, 167–177, https://doi.org/10.1127/0941-2948/2013/0384, 2013.
Gallardo, L., Hamdi, R., Islam, A. S., Klaus, I., Klimont, Z., Krishnaswamy, J., Pinto, I., Otto, F., Raghavan, K., Revi, A., Sörensson, A. A., and Szopa, S.: What the Latest Physical Science of Climate Change Means for Cities, Indian Institute for Human Settlements, https://doi.org/10.24943/SUPSV108.2022, 2022.
Gascon, F., Cadau, E., Colin, O., Hoersch, B., Isola, C., López Fernández, B., and Martimort, P.: Copernicus Sentinel-2 mission: products, algorithms and Cal/Val, Earth Observing Systems XIX, 9218, 92181E, https://doi.org/10.1117/12.2062260, 2014.
Geoportal Berlin: Building Age in Residential Development, Geoportal Berlin, https://www.berlin.de/umweltatlas/en/land-use/building-age/ (last access: 13 June 2023), 2016.
Geoportal Berlin: DOM – Digitales Oberflächenmodell Berlin, Geoportal Berlin, https://www.berlin.de/sen/sbw/stadtdaten/geoinformation/landesvermessung/geotopographie-atkis/bdom-digitales-bildbasiertes-oberflaechenmodell/ (last access: 13 December 2023), 2020.
Geoportal Berlin: Impervious Soil Coverage 2021 (Soil Sealing), Geoportal Berlin, https://www.berlin.de/umweltatlas/en/soil/impervious-soil-coverage/2021/summary/ (last access: 13 June 2023), 2021a.
Geoportal Berlin: Urban Structural Density – Floor Space Index (FSI) 2019, Geoportal Berlin, https://www.berlin.de/umweltatlas/en/land-use/urban-structural-density/2019/summary/ (last access: 13 June 2023), 2021b.
Geoportal Berlin: Green Volume 2020, FIS-Broker, https://fbinter.stadt-berlin.de/fb/index.jsp?Szenario=fb_en&loginkey=zoomStart&mapId=ek_05_09gruenvol2020@esenstadt&bbox=367786,5806155,418176,5831378 (last access: 13 June 2023), 2021c.
Geoportal Berlin: Amtliches Liegenschaftskatasterinformationssystem ALKIS Berlin, Geoportal Berlin, https://www.berlin.de/sen/sbw/stadtdaten/geoportal/liegenschaftskataster/ (last access: 13 December 2023), 2022a.
Geoportal Berlin: ATKIS DGM – Digitales Geländemodell Berlin, Geoportal Berlin, https://www.berlin.de/sen/sbw/stadtdaten/geoinformation/landesvermessung/geotopographie-atkis/dgm-digitale-gelaendemodelle/ (last access: 13 December 2023), 2022b.
Geoportal Berlin: Building Heights 2023, Geoportal Berlin, https://www.berlin.de/umweltatlas/en/land-use/building-heights/continually-updated/map-description (last access: 13 June 2023), 2023.
Grimmond, C. S. B. and Oke, T. R.: Heat Storage in Urban Areas: Local-Scale Observations and Evaluation of a Simple Model, J. Appl. Meteor., 38, 922–940, https://doi.org/10.1175/1520-0450(1999)038<0922:HSIUAL>2.0.CO;2, 1999.
Grimmond, S.: Urbanization and global environmental change: local effects of urban warming, Geogr. J., 173, 83–88, https://doi.org/10.1111/j.1475-4959.2007.232_3.x, 2007.
Hannemann, L., Janson, D., Grewe, H. A., Blättner, B., and Mücke, H.: Heat in German cities: a study on existing and planned measures to protect human health, J. Public Health, 32, 1733–1742, https://doi.org/10.1007/s10389-023-01932-2, 2023.
Hass, A. L., Runkle, J. D., and Sugg, M. M.: The driving influences of human perception to extreme heat: A scoping review, Environ. Res., 197, 111173, https://doi.org/10.1016/j.envres.2021.111173, 2021.
Heldens, W., Taubenböck, H., Esch, T., Heiden, U., and Wurm, M.: Analysis of Surface Thermal Patterns in Relation to Urban Structure Types: A Case Study for the City of Munich, in: Thermal Infrared Remote Sensing: Sensors, Methods, Applications, edited by: Kuenzer, C. and Dech, S., Springer Netherlands, Dordrecht, 475–493, https://doi.org/10.1007/978-94-007-6639-6_23, 2013.
Hertwig, D., McGrory, M., Paskin, M., Liu, Y., Lo Piano, S., Llanwarne, H., Smith, S. T., and Grimmond, S.: Connecting physical and socio-economic spaces for multi-scale urban modelling: a dataset for London, Geosci. Data J., 12, e289, https://doi.org/10.1002/gdj3.289, 2025.
Höppe, P.: The physiological equivalent temperature – a universal index for the biometeorological assessment of the thermal environment, Int. J. Biometeorol., 43, 71–75, https://doi.org/10.1007/s004840050118, 1999.
IPCC: Global Warming of 1.5 °C, Cambridge University Press, edited by: Masson-Delmotte, V., Zhai, P., Pörtner, H.-O., Roberts, D., Skea, J., Shukla, P. R., Pirani, A., Moufouma-Okia, W., Péan, C., Pidcock, R., Connors, S., Matthews, J. B. R., Chen, Y., Zhou, X., Gomis, M. I., Lonnoy, E., Maycock, T., Tignor, M., and Waterfield, T., Cambridge University Press, https://doi.org/10.1017/9781009157940, 2018.
IPCC: Annex II: Glossary, in: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Möller, V., van Diemen, R., Matthews, J. B. R., Méndez, C., Semenov, S., Fuglestvedt, J. S., and Reisinger, A., Cambridge University Press, https://doi.org/10.1017/9781009325844, 2022.
IPCC: Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Core Writing Team, Lee, H., and Romero, J., IPCC, Geneva, Switzerland, https://doi.org/10.59327/IPCC/AR6-9789291691647.001, 2023.
Iqbal, N., Ravan, M., Jamshed, A., Birkmann, J., Somarakis, G., Mitraka, Z., and Chrysoulakis, N.: Linkages between Typologies of Existing Urban Development Patterns and Human Vulnerability to Heat Stress in Lahore, Sustainability, 14, 10561, https://doi.org/10.3390/su141710561, 2022.
Iqbal, N., Ravan, M., Mitraka, Z., Birkmann, J., Grimmond, S., Hertwig, D., Chrysoulakis, N., Somarakis, G., Wendnagel-Beck, A., and Panagiotakis, E.: Datasets for: How does perceived heat stress differ between urban forms and human vulnerability profiles? – case study Berlin, Zenodo [data set], https://doi.org/10.5281/zenodo.12192376, 2024.
Jamshed, A., Rana, I. A., Birkmann, J., and Nadeem, O.: Changes in Vulnerability and Response Capacities of Rural Communities After Extreme Events: Case of Major Floods of 2010 and 2014 in Pakistan, J. Extr. Even., 04, 1750013, https://doi.org/10.1142/S2345737617500130, 2017.
Kaveckis, G.: Modeling future population's vulnerability to heat waves in Greater Hamburg, dissertation, Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, https://ediss.sub.uni-hamburg.de/handle/ediss/7365 (last access: 14 July 2025), 2017.
Klopfer, F.: The thermal performance of urban form – An analysis on urban structure types in Berlin, Appl. Geogr., 152, 102890, https://doi.org/10.1016/j.apgeog.2023.102890, 2023.
Kunz-Plapp, T., Hackenbruch, J., and Schipper, J. W.: Factors of subjective heat stress of urban citizens in contexts of everyday life, Nat. Hazards Earth Syst. Sci., 16, 977–994, https://doi.org/10.5194/nhess-16-977-2016, 2016.
Landesamt für Bürger- und Ordnungsangelegenheiten: Melderegister der Stadt Berlin, Landesamt für Bürger- und Ordnungsangelegenheiten, https://www.berlin.de/labo/ (last access: 15 July 2025), 2022.
Laranjeira, K., Göttsche, F., Birkmann, J., and Garschagen, M.: Heat vulnerability and adaptive capacities: findings of a household survey in Ludwigsburg, BW, Germany, Climatic Change, 166, 14, https://doi.org/10.1007/s10584-021-03103-2, 2021.
Lemonsu, A., Viguié, V., Daniel, M., and Masson, V.: Vulnerability to heat waves: Impact of urban expansion scenarios on urban heat island and heat stress in Paris (France), Urban Climate, 14, 586–605, https://doi.org/10.1016/j.uclim.2015.10.007, 2015.
Li, T., Ban, J., Horton, R. M., Bader, D. A., Huang, G., Sun, Q., and Kinney, P. L.: Heat-related mortality projections for cardiovascular and respiratory disease under the changing climate in Beijing, China, Sci. Rep., 5, 11441, https://doi.org/10.1038/srep11441, 2015.
Lindberg, F. and Grimmond, C. S. B.: Nature of vegetation and building morphology characteristics across a city: Influence on shadow patterns and mean radiant temperatures in London, Urban Ecosyst., 14, 617–634, https://doi.org/10.1007/s11252-011-0184-5, 2011.
Lindberg, F., Grimmond, C. S. B., Gabey, A., Huang, B., Kent, C. W., Sun, T., Theeuwes, N. E., Järvi, L., Ward, H. C., Capel-Timms, I., Chang, Y., Jonsson, P., Krave, N., Liu, D., Meyer, D., Olofson, K. F. G., Tan, J., Wästberg, D., Xue, L., and Zhang, Z.: Urban Multi-scale Environmental Predictor (UMEP): An integrated tool for city-based climate services, Environ. Model. Softw., 99, 70–87, https://doi.org/10.1016/j.envsoft.2017.09.020, 2018.
Liu, B., Guo, X., and Jiang, J.: How Urban Morphology Relates to the Urban Heat Island Effect: A Multi-Indicator Study, Sustainability, 15, 10787, https://doi.org/10.3390/su151410787, 2023.
LUBW Landesanstalt für Umwelt, Messungen und Naturschutz Baden-Württemberg: Städtebaulicher Rahmenplan Klimaanpassung für die Stadt Karlsruhe, LUBW Landesanstalt für Umwelt, https://www.karlsruhe.de/mobilitaet-stadtbild/stadtplanung/staedtebauliche-projekte/klimaanpassungsplan (last access: 2 February 2023), 2014.
Lüthi, S., Fairless, C., Fischer, E. M., Scovronick, N., Armstrong, B., Coelho, M. D. S. Z. S., Guo, Y. L., Guo, Y., Honda, Y., Huber, V., Kyselý, J., Lavigne, E., Royé, D., Ryti, N., Silva, S., Urban, A., Gasparrini, A., Bresch, D. N., and Vicedo-Cabrera, A. M.: Rapid increase in the risk of heat-related mortality, Nat. Commun., 14, 4894, https://doi.org/10.1038/s41467-023-40599-x, 2023.
Marando, F., Heris, M. P., Zulian, G., Udías, A., Mentaschi, L., Chrysoulakis, N., Parastatidis, D., and Maes, J.: Urban heat island mitigation by green infrastructure in European Functional Urban Areas, Sustain. Cities Soc., 77, 103564, https://doi.org/10.1016/j.scs.2021.103564, 2022.
Meade, R. D., Akerman, A. P., Notley, S. R., McGinn, R., Poirier, P., Gosselin, P., and Kenny, G. P.: Physiological factors characterizing heat-vulnerable older adults: A narrative review, Environ. Int., 144, 105909, https://doi.org/10.1016/j.envint.2020.105909, 2020.
Mitraka, Z., Del Frate, F., Chrysoulakis, N., and Gastellu-Etchegorry, J.: Exploiting Earth Observation data products for mapping Local Climate Zones, in: 2015 Joint Urban Remote Sensing Event (JURSE), Lausanne, Switzerland, 30 March–1 April 2015, 1–4, https://doi.org/10.1109/JURSE.2015.7120456, 2015.
Mitraka, Z., Stagakis, S., Lantzanakis, G., Tzelidi, D., Chrysoulakis, N., Gastellu-Etchegorry, J.-P., Lindberg, F., Feigenwinter, C., and Grimmind, S.: URBANFLUXES Deliverable D8.4 Adaptation to Sentinels methodology and evaluation report, https://cordis.europa.eu/project/id/637519/results (last access: 22 July 2025), 2017.
Narocki, C.: Heatwaves as an Occupational Hazard: The Impact of Heat and Heatwaves on Workers' Health, Safety and Wellbeing and on Social Inequalities, ETUI aisbl, Brussels, SSRN Journal, https://doi.org/10.2139/ssrn.4013353, 2021.
Oke, T. R.: Canyon geometry and the nocturnal urban heat island: Comparison of scale model and field observations, J. Climatol., 1, 237–254, https://doi.org/10.1002/joc.3370010304, 1981.
Oke, T. R., Mills, G., Christen, A., and Voogt, J. A.: Urban climates, Cambridge University Press, Cambridge, United Kingdom, New York, NY, 525 pp., https://doi.org/10.1017/9781139016476, 2017.
Oliveira, A., Lopes, A., and Niza, S.: Local climate zones in five southern European cities: An improved GIS-based classification method based on Copernicus data, Urban Climate, 33, 100631, https://doi.org/10.1016/j.uclim.2020.100631, 2020.
Park, J., Hallegatte, S., Bangalore, M., and Sandhoefner, E.: Households and Heat Stress: Estimating the Distributional Consequences of Climate Change, World Bank Policy Research Working Paper No. 7479, SSRN, https://ssrn.com/abstract=2688377 (last access: 15 July 2025), 2015.
Ren, C., Cai, M., Li, X., Zhang, L., Wang, R., Xu, Y., and Ng, E.: Assessment of Local Climate Zone Classification Maps of Cities in China and Feasible Refinements, Sci. Rep., 9, 18848, https://doi.org/10.1038/s41598-019-55444-9, 2019.
Rocha, A. D., Vulova, S., Förster, M., Gioli, B., Matthews, B., Helfter, C., Meier, F., Steeneveld, G.-J., Barlow, J. F., Järvi, L., Chrysoulakis, N., Nicolini, G., and Kleinschmit, B.: Unprivileged groups are less served by green cooling services in major European urban areas, Nat. Cities, 1, 424–435, https://doi.org/10.1038/s44284-024-00077-x, 2024.
Rosenzweig, C., Ruane, A. C., Antle, J., Elliott, J., Ashfaq, M., Chatta, A. A., Ewert, F., Folberth, C., Hathie, I., Havlik, P., Hoogenboom, G., Lotze-Campen, H., MacCarthy, D. S., Mason-D'Croz, D., Contreras, E. M., Müller, C., Perez-Dominguez, I., Phillips, M., Porter, C., Raymundo, R. M., Sands, R. D., Schleussner, C.-F., Valdivia, R. O., Valin, H., and Wiebe, K.: Coordinating AgMIP data and models across global and regional scales for 1.5 °C and 2.0 °C assessments, Phil. Trans. R. Soc. A., 376, 20160455, https://doi.org/10.1098/rsta.2016.0455, 2018.
Schär, C., Vidale, P. L., Lüthi, D., Frei, C., Häberli, C., Liniger, M. A., and Appenzeller, C.: The role of increasing temperature variability in European summer heatwaves, Nature, 427, 332–336, https://doi.org/10.1038/nature02300, 2004.
Schuster, C., Burkart, K., and Lakes, T.: Heat mortality in Berlin – Spatial variability at the neighborhood scale, Urban Climate, 10, 134–147, https://doi.org/10.1016/j.uclim.2014.10.008, 2014.
Schwaab, J., Meier, R., Mussetti, G., Seneviratne, S., Bürgi, C., and Davin, E. L.: The role of urban trees in reducing land surface temperatures in European cities, Nat. Commun., 12, 6763, https://doi.org/10.1038/s41467-021-26768-w, 2021.
Schwingshackl, C., Daloz, A. S., Iles, C., Aunan, K., and Sillmann, J.: High-resolution projections of ambient heat for major European cities using different heat metrics, Nat. Hazards Earth Syst. Sci., 24, 331–354, https://doi.org/10.5194/nhess-24-331-2024, 2024.
Senatsverwaltung für Stadtentwicklung, Bauen und Wohnen: Urban Development Plan (StEP) Climate 2.0, Senatsverwaltung für Stadtentwicklung, Bauen und Wohnen, https://www.berlin.de/sen/stadtentwicklung/planung/stadtentwicklungsplaene/step-klima-2-0/ (last access: 2 March 2023), 2023.
Senatsverwaltung für Stadtentwicklung und Umwelt: Klimamodell Berlin, Senatsverwaltung für Stadtentwicklung und Umwelt, https://www.berlin.de/umweltatlas/klima/klimaanalyse/2014/zusammenfassung/ (last access: 2 March 2023), 2014.
Senatsverwaltung für Stadtentwicklung und Umwelt: Planungshinweiskarte Stadtklima, Senatsverwaltung für Stadtentwicklung und Umwelt, https://www.berlin.de/umweltatlas/_assets/literatur/planungshinweise_stadtklimaberlin_2015.pdf?ts=1704197525 (last access: 2 March 2023), 2015.
Senatsverwaltung für Stadtentwicklung und Wohnen: Dokumentation Bodennutzung und Stadtstruktur 2020, Senatsverwaltung für Stadtentwicklung und Wohnen, https://www.berlin.de/umweltatlas/_assets/literatur/nutzungen_stadtstruktur_2020.pdf?ts=1726132803 (last access: 1 September 2024), 2020.
Senatsverwaltung für Stadtentwicklung und Wohnen: Urbane Struktur/Urbane Struktur – Flächentypen differenziert, Senatsverwaltung für Stadtentwicklung und Wohnen, https://www.berlin.de/umweltatlas/en/land-use/urban-structure/ (last access: 2 March 2023), 2021.
Senatsverwaltung für Stadtentwicklung und Wohnen Berlin: Monitoring Soziale Stadtentwicklung, Senatsverwaltung für Stadtentwicklung und Wohnen Berlin, https://www.stadtentwicklung.berlin.de/planen/basisdaten_stadtentwicklung/monitoring/index.shtml (last access: 12 September 2023), 2019.
Song, Y., Ge, Y., Wang, J., Ren, Z., Liao, Y., and Peng, J.: Spatial distribution estimation of malaria in northern China and its scenarios in 2020, 2030, 2040 and 2050, Malaria J., 15, 345, https://doi.org/10.1186/s12936-016-1395-2, 2016.
Sousa-Silva, R. and Zanocco, C.; Assessing public attitudes towards urban green spaces as a heat adaptation strategy: Insights from Germany, Landscape Urban Plan., 245, 105013, https://doi.org/10.1016/j.landurbplan.2024.105013, 2024.
Statistisches Bundesamt: Altersstruktur der Bevölkerung in Berlin, 2022 und 2070, Statistisches Bundesamt, https://www.demografie-portal.de/DE/Fakten/Daten/bevoelkerung-altersstruktur-berlin.csv?__blob=publicationFile&v=4 (last access: 3 September 2023), 2022.
Stewart, I. D. and Oke, T. R.: Local Climate Zones for Urban Temperature Studies, B. Am. Meteorol. Soc., 93, 1879–1900, https://doi.org/10.1175/BAMS-D-11-00019.1, 2012.
Stewart, I. D., Krayenhoff, E. S., Voogt, J. A., Lachapelle, J. A., Allen, M. A., and Broadbent, A. M.: Time Evolution of the Surface Urban Heat Island, Earths Future, 9, e2021EF002178, https://doi.org/10.1029/2021EF002178, 2021.
Sun, S., Wang, Z., Hu, C., and Gao, G.: Understanding Climate Hazard Patterns and Urban Adaptation Measures in China, Sustainability, 13, 13886, https://doi.org/10.3390/su132413886, 2021.
Tollefson, J.: IPCC climate report: Earth is warmer than it's been in 125 000 years, Nature, 596, 171–172, https://doi.org/10.1038/d41586-021-02179-1, 2021.
Tuholske, C., Caylor, K., Funk, C., Verdin, A., Sweeney, S., Grace, K., Peterson, P., and Evans, T.: Global urban population exposure to extreme heat, P. Natl. Acad. Sci. USA, 118, e2024792118, https://doi.org/10.1073/pnas.2024792118, 2021.
Turek-Hankins, L. L., Coughlan de Perez, E., Scarpa, G., Ruiz-Diaz, R., Schwerdtle, P. N., Joe, E. T., Galappaththi, E. K., French, E. M., Austin, S. E., Singh, C., Siña, M., S., A. R., van Aalst, M. K., Templeman, S., Nunbogu, A. M., Berrang-Ford, L., Agrawal, T., and Mach, K. J.: Climate change adaptation to extreme heat: a global systematic review of implemented action, Oxford Open Climate Change, 1, kgab005, https://doi.org/10.1093/oxfclm/kgab005, 2021.
Turner, V. K., Middel, A., and Vanos, J. K.: Shade is an essential solution for hotter cities, Nature, 619, 694–697, https://doi.org/10.1038/d41586-023-02311-3, 2023.
United Nations: World Population Prospects, Department of Economic and Social Affairs, Population Division, https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/undesa_pd_2022_wpp-data_sources.pdf (last access: 21 November 2023), 2022.
Verdonck, M., Demuzere, M., Hooyberghs, H., Beck, C., Cyrys, J., Schneider, A., Dewulf, R., and van Coillie, F.: The potential of local climate zones maps as a heat stress assessment tool, supported by simulated air temperature data, Landscape Urban Plan., 178, 183–197, https://doi.org/10.1016/j.landurbplan.2018.06.004, 2018.
Vicedo-Cabrera, A. M., Scovronick, N., Sera, F., Royé, D., Schneider, R., Tobias, A., Astrom, C., Guo, Y., Honda, Y., Hondula, D. M., Abrutzky, R., Tong, S., Coelho, M. d. S. Z. S., Saldiva, P. H. N., Lavigne, E., Correa, P. M., Ortega, N. V., Kan, H., Osorio, S., Kyselý, J., Urban, A., Orru, H., Indermitte, E., Jaakkola, J. J. K., Ryti, N., Pascal, M., Schneider, A., Katsouyanni, K., Samoli, E., Mayvaneh, F., Entezari, A., Goodman, P., Zeka, A., Michelozzi, P., de’Donato, F., Hashizume, M., Alahmad, B., Diaz, M. H., La Valencia, C. D. C., Overcenco, A., Houthuijs, D., Ameling, C., Rao, S., Di Ruscio, F., Carrasco-Escobar, G., Seposo, X., Silva, S., Madureira, J., Holobaca, I. H., Fratianni, S., Acquaotta, F., Kim, H., Lee, W., Iniguez, C., Forsberg, B., Ragettli, M. S., Guo, Y. L. L., Chen, B. Y., Li, S., Armstrong, B., Aleman, A., Zanobetti, A., Schwartz, J., Dang, T. N., Dung, D. V., Gillett, N., Haines, A., Mengel, M., Huber, V., and Gasparrini, A.: The burden of heat-related mortality attributable to recent human-induced climate change, Nat. Clim. Chang., 11, 492–500, https://doi.org/10.1038/s41558-021-01058-x, 2021.
von Szombathely, M., Bechtel, B., Lemke, B., Oßenbrügge, J., Pohl, T., and Pott, M.: Empirical Evidences for Urban Influences on Public Health in Hamburg, Appl. Sci., 9, 2303, https://doi.org/10.3390/app9112303, 2019.
Voogt, J. and Oke, T.: Thermal remote sensing of urban climates, Remote Sens. Environ., 86, 370–384, https://doi.org/10.1016/S0034-4257(03)00079-8, 2003.
Wende, W.: Publikationsreihe des BMBF-geförderten Projektes REGKLAM – regionales Klimaanpassungsprogramm für die Modellregion Dresden (Vol. 6).: Grundlagen für eine klimawandelangepasste Stadt- und Freiraumplanung, RHOMBOS-VERLAG (Rhombos Publishing House), ISBN 978-3-944101-15-6, 2014.
Wendnagel-Beck, A., Ravan, M., Iqbal, N., Birkmann, J., Somarakis, G., Hertwig, D., Chrysoulakis, N., and Grimmond, S.: Characterizing Physical and Social Compositions of Cities to Inform Climate Adaptation: Case Studies in Germany, Urban Planning, 6, 321–337, https://doi.org/10.17645/up.v6i4.4515, 2021.
Willroth, P., Massmann, F., Wehrhahn, R., and Revilla Diez, J.: Socio-economic vulnerability of coastal communities in southern Thailand: the development of adaptation strategies, Nat. Hazards Earth Syst. Sci., 12, 2647–2658, https://doi.org/10.5194/nhess-12-2647-2012, 2012.
Wouters, H.: Heat stress increase under climate change twice as large in cities as in rural areas: A study for a densely populated midlatitude maritime region, Geophys. Res. Lett., 44, 8997–9007, 2017.
Yang, J., Yang, Y., Sun, D., Jin, C., and Xiao, X.: Influence of urban morphological characteristics on thermal environment, Sustain. Cities Soc., 72, 103045, https://doi.org/10.1016/j.scs.2021.103045, 2021.
Yue, W., Liu, X., Zhou, Y., and Liu, Y.: Impacts of urban configuration on urban heat island: An empirical study in China mega-cities, Sci. Total Environ., 671, 1036–1046, https://doi.org/10.1016/j.scitotenv.2019.03.421, 2019.
Zhou, W., Huang, G., and Cadenasso, M. L.: Does spatial configuration matter? Understanding the effects of land cover pattern on land surface temperature in urban landscapes, Landscape Urban Plan., 102, 54–63, https://doi.org/10.1016/j.landurbplan.2011.03.009, 2011.
Zhu, X., Hu, J., Qiu, C., Shi, Y., Bagheri, H., Kang, J., Li, H., Mou, L., Zhang, G., Häberle, M., Han, S., Hua, Y., Huang, R., Hughes, L., Sun, Y., Schmitt, M., and Wang, Y.: So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification, University Library of the Technical University of Munich, https://doi.org/10.14459/2018MP1483140, 2018.
Zuhra, S. S., Tabinda, A. B., and Yasar, A.: Appraisal of the heat vulnerability index in Punjab: a case study of spatial pattern for exposure, sensitivity, and adaptive capacity in megacity Lahore, Pakistan, Int. J. Biometeorol., 63, 1669–1682, https://doi.org/10.1007/s00484-019-01784-0, 2019.
Short summary
This work deepens the understanding of how perceived heat stress, human vulnerability (e.g. age, income) and adaptive capacities (e.g. green, shaded spaces) are coupled with urban structures. The results show that perceived heat stress decreases with distance from the urban center, however, human vulnerability and adaptive capacities depend more strongly on inner variations and differences between urban structures. Planning policies and adaptation strategies should account for these differences.
This work deepens the understanding of how perceived heat stress, human vulnerability (e.g. age,...
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