93 citations as recorded by crossref.

1. Exploring the discrepancy between top-down and bottom-up approaches of fine spatio-temporal vehicular CO2 emission in an urban road network P. Fung et al. 10.1016/j.scitotenv.2023.165827
2. Mapping local climate zones and its applications at the global scale: A systematic review of the last decade of progress and trend R. Wang et al. 10.1016/j.uclim.2024.102129
3. Global distinct variations of surface urban heat islands in inter- and intra-cities revealed by local climate zones and seamless daily land surface temperature data B. Yuan et al. 10.1016/j.isprsjprs.2023.08.012
4. Heat stress risk at an intra-urban level: A case study of Delhi, India K. Kacker et al. 10.1016/j.buildenv.2024.111897
5. Meteorological effects of ventilation corridor in central urban areas: A case study of Wuhan X. Li et al. 10.1016/j.scs.2024.105752
6. High-Resolution Land Use Land Cover Dataset for Meteorological Modelling—Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset G. Bessardon et al. 10.3390/land13111811
7. Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities: Current trends and future outlook N. Mondal et al. 10.1007/s12273-024-1112-y
8. Evaluating simulated visible greenness in urban landscapes: An examination of a midsize U.S. city J. Yan et al. 10.1016/j.ufug.2023.128060
9. Climatological analysis of urban heat island effects in Swiss cities J. Canton & A. Dipankar 10.1002/joc.8398
10. Relating three-decade surge in space cooling demand to urban warming H. Li et al. 10.1088/1748-9326/ad0a56
11. LCZ thermal and exoatmospheric albedo assessment using Landsat 8 land surface temperature and reflectance dataset: Case study of Lisbon M. Matias & A. Lopes 10.1016/j.rsase.2024.101163
12. Assessing the cooling and buildings’ energy-saving potential of urban trees in severe cold region of China during summer Q. Dong et al. 10.1016/j.buildenv.2023.110818
13. Multi-scale analysis of surface thermal environment in relation to urban form: A case study of the Guangdong-Hong Kong-Macao Greater Bay Area R. Wang & M. Wang 10.1016/j.scs.2023.104953
14. Parameterizing building effects on airflows within the urban canopy layer for high‐resolution models using a nudging approach G. Cheng et al. 10.1002/qj.4524
15. A combined Remote Sensing and GIS-based method for Local Climate Zone mapping using PRISMA and Sentinel-2 imagery A. Vavassori et al. 10.1016/j.jag.2024.103944
16. Optimal allocation of local climate zones based on heat vulnerability perspective R. Zhang et al. 10.1016/j.scs.2023.104981
17. Demographic disparity in diurnal surface urban Heat Island exposure across local climate zones: A case study of Chongqing, China Y. Ming et al. 10.1016/j.scitotenv.2024.171203
18. Exploration of Influencing Factors of Land Surface Temperature in Cities Within the Beijing–Tianjin–Hebei Region Based on Local Climate Zone Scheme Z. Wang et al. 10.1109/JSTARS.2024.3396167
19. On the Importance of Data Quality Assessment of Crowdsourced Meteorological Data M. Vuckovic & J. Schmidt 10.3390/su15086941
20. Effect of land surface parameters on meteorology and ozone air quality simulations in the Great Bay Area, China Q. Wang et al. 10.1016/j.atmosenv.2023.120146
21. Atmospheric deposition of microplastics at a western China metropolis: Relationship with underlying surface types and human exposure Y. Chen et al. 10.1016/j.envpol.2024.124192
22. Ozone production over arid regions: insights into meteorological and chemical drivers M. Mirrezaei et al. 10.1088/2515-7620/ad484c
23. Predictive modeling the effect of Local Climate Zones (LCZ) on the urban meteorology in a tropical andean area G. Mancheno et al. 10.1007/s40808-024-02121-0
24. Sonic boom reflection over urban areas D. Dragna et al. 10.1121/10.0016442
25. A Decision Rule and Machine Learning-Based Hybrid Approach for Automated Land-Cover Type Local Climate Zones (LCZs) Mapping Using Multi-Source Remote Sensing Data M. Islam et al. 10.1109/JSTARS.2024.3386389
26. High-resolution multi-scaling of outdoor human thermal comfort and its intra-urban variability based on machine learning F. Briegel et al. 10.5194/gmd-17-1667-2024
27. Remote Sensing-Based Analysis of Urban Heat Island Driving Factors: A Local Climate Zone Perspective Z. Qiao et al. 10.1109/JSTARS.2024.3462537
28. Aerosol composition, air quality, and boundary layer dynamics in the urban background of Stuttgart in winter H. Zhang et al. 10.5194/acp-24-10617-2024
29. Exploring the effects of 2D/3D building factors on urban energy consumption using explainable machine learning Z. Li et al. 10.1016/j.jobe.2024.110827
30. Assessing diurnal land surface temperature variations across landcover and local climate zones: Implications for urban planning and mitigation strategies on socio-economic factors P. Palanisamy et al. 10.1016/j.scs.2024.105880
31. Climate data for building simulations with urban heat island effects and nature-based solutions H. Lu et al. 10.1038/s41597-024-03532-5
32. Building energy savings by green roofs and cool roofs in current and future climates S. Jia et al. 10.1038/s42949-024-00159-8
33. Evaluating the role of city representation in modelling the urban precipitation effect of Kuala Lumpur C. Ghielmini et al. 10.1016/j.uclim.2024.101907
34. Advancing the local climate zones framework: a critical review of methodological progress, persisting challenges, and future research prospects J. Han et al. 10.1057/s41599-024-03072-8
35. A conceptual model for a generalized canopy parametrization for atmospheric models G. Cheng & K. Schlünzen 10.1002/qj.4420
36. Measuring the relationships between various urban green spaces and local climate zones V. Kirschner et al. 10.1038/s41598-023-36850-6
37. Automatic responsive-generation of 3D urban morphology coupled with local climate zones using generative adversarial network S. Zhou et al. 10.1016/j.buildenv.2023.110855
38. Mapping CO2 traffic emissions within local climate zones in Helsinki O. Al-Jaghbeer et al. 10.1016/j.uclim.2024.102171
39. Impacts of local climate zone mapping quality on urban near-surface air temperature simulation in WRF-UCM S. Zhao et al. 10.1016/j.scs.2024.105171
40. An assessment of WRF-urban schemes in simulating local meteorology for heat stress analysis in a tropical sub-Saharan African city, Lagos, Nigeria O. Obe et al. 10.1007/s00484-024-02627-3
41. Urbanization enhances channel and surface runoff: A quantitative analysis using both physical and empirical models over the Yangtze River basin S. Huang et al. 10.1016/j.jhydrol.2024.131194
42. Climate change, heat stress and the analysis of its space-time variability in european metropolises D. Hidalgo García & H. Rezapouraghdam 10.1016/j.jclepro.2023.138892
43. Towards better exploiting object-based image analysis paradigm for local climate zones mapping L. Ma et al. 10.1016/j.isprsjprs.2023.03.018
44. Mapping local climate zones for cities: A large review F. Huang et al. 10.1016/j.rse.2023.113573
45. Chasing cool: Unveiling the influence of green-blue features on outdoor thermal environment in Roorkee (India) S. Manavvi & D. Milosevic 10.1016/j.buildenv.2024.112238
46. Towards better understanding the urban environment and its interactions with regional climate change - The WCRP CORDEX Flagship Pilot Study URB-RCC G. Langendijk et al. 10.1016/j.uclim.2024.102165
47. A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea S. Lee et al. 10.1016/j.jag.2023.103408
48. Incorporating Heat Vulnerability into Local Authority Decision Making: An Open Access Approach E. Ferranti et al. 10.3390/su151813501
49. Parks may not be effective enough to improve the thermal environment in Shanghai (China) as our modified H3SFCA method suggests P. Zeng et al. 10.1016/j.buildenv.2024.111291
50. Exploring Spatiotemporal Variations in Land Surface Temperature Based on Local Climate Zones in Shanghai from 2008 to 2020 X. Hou et al. 10.3390/rs15123106
51. InSAR and GNSS data fusion for improved urban heat island estimation using local climate zone classification M. Tasan et al. 10.1016/j.jag.2024.103906
52. The hectometric modelling challenge: Gaps in the current state of the art and ways forward towards the implementation of 100‐m scale weather and climate models H. Lean et al. 10.1002/qj.4858
53. Local Climate Zone Mapping by Coupling Multilevel Features With Prior Knowledge Based on Remote Sensing Images X. Zhong et al. 10.1109/TGRS.2024.3360522
54. Shared insights for heat health risk adaptation in metropolitan areas of developing countries W. Yu et al. 10.1016/j.isci.2024.109728
55. Thermal effects of cool roofs and urban vegetation during extreme heat events in three Canadian regions H. Lu et al. 10.1016/j.scs.2023.104925
56. Characterising the vertical structure of buildings in cities for use in atmospheric models M. Stretton et al. 10.1016/j.uclim.2023.101560
57. Attribution of the unprecedented heat event of August 2023 in Barcelona (Spain) to observed and projected global warming M. Lemus-Canovas et al. 10.1016/j.uclim.2024.102019
58. Identifying and monitoring the Urban Heat Island in the compact Mediterranean city using satellite imagery and in-situ measurement data O. Palusci et al. 10.1088/1742-6596/2600/9/092006
59. Contrasting moist heat across local climate zones in heat and non-heat waves: Insights from 29 Chinese metropolises S. Jiang et al. 10.1016/j.buildenv.2024.111328
60. Identifying the mechanisms by which irrigation can cool urban green spaces in summer P. Cheung et al. 10.1016/j.uclim.2024.101914
61. Domain Adaptation for Mapping LCZs in Sub-Saharan Africa With Remote Sensing: A Comprehensive Approach to Health Data Analysis B. Rousse et al. 10.1109/JSTARS.2024.3421284
62. Cropland Zoning Based on District and County Scales in the Black Soil Region of Northeastern China Y. Li et al. 10.3390/su16083341
63. How urban heat island magnifies hot day exposure: Global unevenness derived from differences in built landscape W. Yu et al. 10.1016/j.scitotenv.2024.174043
64. Stereoscopic urban morphology metrics enhance the nonlinear scale heterogeneity modeling of UHI with explainable AI Y. Shen et al. 10.1016/j.uclim.2024.102006
65. Mitigation and Resilience of Local Climatic Zones to the Effects of Extreme Heat: Study on the City of Barcelona (Spain) D. Hidalgo García & J. Arco Díaz 10.3390/urbansci7040102
66. Microclimate Multivariate Analysis of Two Industrial Areas A. Arruda et al. 10.3390/atmos14081321
67. The characteristic and transformation of 3D urban morphology in three Chinese mega-cities Z. Cai et al. 10.1016/j.cities.2022.103988
68. Mapping Local Climate Zones (LCZ) Change in the 5 Largest Cities of Switzerland E. Moix & G. Giuliani 10.3390/urbansci8030120
69. Analytical assessment of street-level tree canopy in Austrian cities: Identification of re-naturalisation potentials of the urban fabric M. Vuckovic et al. 10.1016/j.nbsj.2023.100062
70. Mapping urban form into local climate zones for the continental US from 1986–2020 M. Qi et al. 10.1038/s41597-024-03042-4
71. Spatio-temporal analysis of LST, NDVI and SUHI in a coastal temperate city using local climate zone T. Sharmin et al. 10.1016/j.enbenv.2024.06.002
72. Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. 10.5194/acp-22-14547-2022
73. Developing Comprehensive Local Climate Zone Land Use Datasets for Advanced High-Resolution Urban Climate and Environmental Modeling Y. Wang et al. 10.3390/rs15123111
74. Application and future of local climate zone system in urban climate assessment and planning—Bibliometrics and meta-analysis H. Zhang et al. 10.1016/j.cities.2024.104999
75. Thermal Footprint of the Urbanization Process: Analyzing the Heat Effects of the Urbanization Index (UI) on the Local Climate Zone (LCZ) and Land Surface Temperature (LST) over Two Decades in Seville N. Falah et al. 10.3390/land13111877
76. Mitigating airborne microplastics pollution from perspectives of precipitation and underlying surface types X. Huang et al. 10.1016/j.watres.2023.120385
77. A framework for efficient simulation of urban strong wind field during typhoon process using coupled WRF-UCM and embedded LES model Y. Zhang et al. 10.1016/j.jweia.2024.105757
78. Urban heat islands characterized by six thermal indicators C. Wang et al. 10.1016/j.buildenv.2023.110820
79. Reshaping landscape factorization through 3D landscape clustering for urban temperature studies H. Song et al. 10.1016/j.scs.2024.105809
80. Modeling the cooling effect of urban green spaces: The neglected control variables of ‘soil moisture’ and ‘biotope types’ H. Zepp et al. 10.1016/j.ufug.2023.128137
81. Comparison of the Thermal Environment by Local Climate Zones in Summer: A Case Study in Suwon, Republic of Korea S. Jo et al. 10.3390/su15032620
82. Global maps of 3D built-up patterns for urban morphological analysis M. Li et al. 10.1016/j.jag.2022.103048
83. Multiscale mapping of local climate zones in Tokyo using airborne LiDAR data, GIS vectors, and Sentinel-2 imagery C. Chen et al. 10.1080/15481603.2023.2209970
84. Modeling urban air temperature using satellite-derived surface temperature, meteorological data, and local climate zone pattern—a case study in Szeged, Hungary Y. Guo et al. 10.1007/s00704-024-04852-7
85. Factors influencing spatiotemporal cooling potential of blue–green infrastructure across diverse local climate zones—Case study of Wroclaw, Poland G. Budzik et al. 10.1016/j.buildenv.2024.112162
86. Local Climate Zone Classification by Seasonal and Diurnal Satellite Observations: An Integration of Daytime Thermal Infrared Multispectral Imageries and High-Resolution Night-Time Light Data Z. Wang et al. 10.3390/rs15102599
87. Assessment of daytime and nighttime surface urban heat islands across local climate zones – A case study in Florianópolis, Brazil B. Rech et al. 10.1016/j.uclim.2024.101954
88. Present day and future urban cooling enabled by integrated water management K. Nice et al. 10.3389/frsc.2024.1337449
89. Impacts of irrigation scheduling on urban green space cooling P. Cheung et al. 10.1016/j.landurbplan.2024.105103
90. Very fine spatial resolution urban land cover mapping using an explicable sub-pixel mapping network based on learnable spatial correlation D. He et al. 10.1016/j.rse.2023.113884
91. Investigating the efficacy of a fast urban climate model for spatial planning of green and blue spaces for heat mitigation J. Chen et al. 10.1016/j.scitotenv.2024.176925
92. W2W: A Python package that injects WUDAPT’s Local Climate Zone information in WRF M. Demuzere et al. 10.21105/joss.04432
93. Urban Climate Informatics: An Emerging Research Field A. Middel et al. 10.3389/fenvs.2022.867434