- 1University of Copenhagen, Niels Bohr Institute, Physics of Ice, Climate and Earth, København, Denmark (abaklanov@nbi.ku.dk)
- 2Institute for Atmospheric & Earth System Research (INAR), University of Helsinki, Finland
- 3, Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China
- 4UiT Norges Arktiske Universitet, Tromso, Norway
Climate change poses a critical global challenge, threatening human well-being, ecosystems, economies, and societies. While mitigation efforts remain essential, the increasing severity and immediacy of climate impacts demand timely and effective adaptation measures. In the context of urban climate services (Baklanov et al., 2018, 2020), effective adaptation requires advanced modeling tools that provide higher spatial and temporal resolution, integrate urban structure, ecosystem processes, and social dynamics (Yang et al., 2025), and enable the assessment of diverse adaptation scenarios.
Seamless multi-scale and local-scale models—operating at the scales of streets, cities, administrative regions, countries, or specific domains—are particularly valuable, as they allow for the explicit representation of targeted adaptation measures and the generation of precise, context-specific information (Mahura et al., 2024; Ouyang et al., 2025; Esau et al., 2024). Such models play a crucial role in the development of tailored climate adaptation strategies and actionable planning frameworks.
This overview highlights the significance of seamless multi-scale modeling approaches and discusses the key scientific and practical challenges associated with their development and implementation. We emphasize the urgent need to accelerate progress in this area and call upon the scientific community and policymakers to prioritize the advancement of tailored local-scale modeling tools and integrated services. Strengthening these capabilities is essential to enhance urban resilience and to better support adaptive responses to the complex and rapidly evolving challenges of climate change and urbanization at the local level.
References:
Baklanov, A., C.S.B. Grimmond, D. Carlson, D. Terblanche, X. Tang, V. Bouchet, B. Lee, G. Langendijk, R.K. Kolli, A. Hovsepyan, 2018: From urban meteorology, climate and environment research to integrated city services. Urban Climate, 23 330–341, https://doi.org/10.1016/j.uclim.2017.05.004
Baklanov, A., B. Cárdenas, T.C. Lee, S. Leroyer, V. Masson, L.T. Molina, T. Müller, C. Ren, F.R. Vogel, J.A. Voogt, 2020: Integrated urban services: Experience from four cities on different continents, Urban Climate, 32, 2020, 100610, https://doi.org/10.1016/j.uclim.2020.100610
Esau, i., M. Belda, V. Miles, J. Geletič, J. Resler, P. Krč, P. Bauerová, M. Bureš, K. Eben, V. Fuka, R. Jareš, J. Karel, J. Keder, W. Patiño, L.H. Pettersson, J. Radović, H. Řezníček, A. Šindelářová, O. Vlček (2024) A city-scale turbulence-resolving model as an essential element of integrated urban services, Urban Climate, 56, 102059, https://doi.org/10.1016/j.uclim.2024.102059
Mahura, A., Baklanov, A., Makkonen, R., Boy, M., Petäjä, T., Lappalainen, H. K., … Kulmala, M. (2024). Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform. Big Earth Data, 8(2), 189–230. https://doi.org/10.1080/20964471.2024.2325019
Ouyang H., A. Baklanov, X. Tang, P. Wang, R. Zhang (2025) Urgency and Importance of Local-scale Modeling Tools to Support Climate Adaptation and Sustainable Development. Frontiers of Environmental Science & Engineering, 2025, 19(12): 171 https://doi.org/10.1007/s11783-025-2091-7
Yang J., Yu W., Baklanov A., He B., Ge Q. (2025) Mainstreaming the local climate zone framework for climate-resilient cities. Nature Commun 16, 5705. https://doi.org/10.1038/s41467-025-61394-w
How to cite: Baklanov, A., Ouyang, H., Tang, X., Wang, P., Zhang, R., Mahura, A., and Esau, I.: Towards Urban Climate Services: Urgency and Importance of Seamless Multi-Scale Modeling Tools to Support Climate Adaptation and Sustainable City Development, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5452, https://doi.org/10.5194/egusphere-egu26-5452, 2026.