37 citations as recorded by crossref.

1. Commentaries on Top-Cited Boundary-Layer Meteorology Articles J. Garratt et al. 10.1007/s10546-020-00563-4
2. Comparison between local climate zones maps derived from administrative datasets and satellite observations J. Hidalgo et al. 10.1016/j.uclim.2018.10.004
3. Interactions between the summer urban heat islands and heat waves in Beijing during 2000–2018 F. Cui et al. 10.1016/j.atmosres.2023.106813
4. Urban Climates and Climate Change V. Masson et al. 10.1146/annurev-environ-012320-083623
5. A Statistical–Dynamical Downscaling for the Urban Heat Island and Building Energy Consumption—Analysis of Its Uncertainties R. Schoetter et al. 10.1175/JAMC-D-19-0182.1
6. Impact of BIPV windows on building energy consumption in street canyons: Model development and validation L. Chen et al. 10.1016/j.enbuild.2021.111207
7. A statistical–dynamical downscaling methodology for the urban heat island applied to the EURO-CORDEX ensemble B. Le Roy et al. 10.1007/s00382-020-05600-z
8. A new perspective for understanding actual anthropogenic heat emissions from buildings M. Alhazmi et al. 10.1016/j.enbuild.2022.111860
9. Integrated urban hydrometeorological, climate and environmental services: Concept, methodology and key messages S. Grimmond et al. 10.1016/j.uclim.2020.100623
10. How well does the local climate zone scheme discern the thermal environment of Toulouse (France)? An analysis using numerical simulation data Y. Kwok et al. 10.1002/joc.6140
11. Integrated urban services: Experience from four cities on different continents A. Baklanov et al. 10.1016/j.uclim.2020.100610
12. Refined dataset to describe the complex urban environment of Hong Kong for urban climate modelling studies at the mesoscale Y. Kwok et al. 10.1007/s00704-020-03298-x
13. A building energy demand and urban land surface model M. Lipson et al. 10.1002/qj.3317
14. Overview of the Meso-NH model version 5.4 and its applications C. Lac et al. 10.5194/gmd-11-1929-2018
15. Towards decarbonisation targets by changing setpoint temperature to avoid building overcooling and implementing district cooling in (sub)tropical high-density cities – A case study of Hong Kong Y. Kwok et al. 10.1016/j.scitotenv.2021.152338
16. Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling J. Ching et al. 10.1016/j.uclim.2019.100459
17. The Urban Climate Services URCLIM project V. Masson et al. 10.1016/j.cliser.2020.100194
18. AN EMPIRICAL STUDY OF STUDENTS’ AIR CONDITIONING ENERGY USE BEHAVIOR IN UNIVERSITY DORMITORIES—A CASE OF NANJING, CHINA L. Tian et al. 10.3992/jgb.17.1.169
19. Multi-objective assessment of the retrofit of traditional walls located in a historical city centre using an urban climate model M. Ruiz et al. 10.1016/j.enbuild.2024.114873
20. Dynamic Anthropogenic activitieS impacting Heat emissions (DASH v1.0): development and evaluation I. Capel-Timms et al. 10.5194/gmd-13-4891-2020
21. A quantification of classic but unquantified positive feedback effects in the urban-building-energy-climate system Y. Kikegawa et al. 10.1016/j.apenergy.2021.118227
22. Assessing the Ability of WRF‐BEP + BEM in Reproducing the Wintertime Building Energy Consumption of an Italian Alpine City G. Pappaccogli et al. 10.1029/2020JD033652
23. Statistical prediction of the nocturnal urban heat island intensity based on urban morphology and geographical factors - An investigation based on numerical model results for a large ensemble of French cities T. Gardes et al. 10.1016/j.scitotenv.2020.139253
24. WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model D. Meyer et al. 10.1029/2019MS001961
25. Seven questions around interdisciplinarity in energy research M. Pellegrino & M. Musy 10.1016/j.erss.2017.07.007
26. Establishment and application of intelligent city building information model based on BP neural network model Y. Li & K. Cao 10.1016/j.comcom.2020.02.013
27. Energy and environmental impacts of air-to-air heat pumps in a mid-latitude city D. Meyer et al. 10.1038/s41467-024-49836-3
28. Urban electricity–temperature relationships in the Tokyo Metropolitan Area K. Nakajima et al. 10.1016/j.enbuild.2021.111729
29. Dépasser le développement d’expertise locale en climatologie urbaine pour accélérer et élargir sa prise en compte dans les politiques de gestion de la surchauffe urbaine J. Hidalgo 10.1051/climat/202320003
30. Evaluation of isoprene emissions from the coupled model SURFEX–MEGANv2.1 S. Oumami et al. 10.5194/gmd-17-3385-2024
31. Surface urban heat island analysis based on local climate zones using ECOSTRESS and Landsat data: A case study of Valencia city (Spain) L. Wei & J. Sobrino 10.1016/j.jag.2024.103875
32. Retrofit strategies to mitigate overheating linking urban climate modeling and urban building simulations with outdoor comfort. An urban sector in Malaga (Spain) P. Camporeale & P. Mercader-Moyano 10.1016/j.enbuild.2023.113531
33. AN EMPIRICAL STUDY OF STUDENTS’ AIR CONDITIONING ENERGY USE BEHAVIOR IN UNIVERSITY DORMITORIES—A CASE OF NANJING, CHINA L. Tian et al. 10.3992/jgb.17.1.169
34. Inclusion of CO2 flux modelling in an urban canopy layer model and an evaluation over an old European city centre M. Goret et al. 10.1016/j.aeaoa.2019.100042
35. From energy behaviours to lifestyles: Contribution of behavioural archetypes to the description of energy consumption patterns in the residential sector M. Heinrich et al. 10.1016/j.enbuild.2022.112249
36. City-descriptive input data for urban climate models: Model requirements, data sources and challenges V. Masson et al. 10.1016/j.uclim.2019.100536
37. Between progress and obstacles in urban climate interdisciplinary studies and knowledge transfer to society J. Hidalgo et al. 10.1111/nyas.13986