50 citations as recorded by crossref.

1. High-fidelity simulation of the effects of street trees, green roofs and green walls on the distribution of thermal exposure in Prague-Dejvice J. Geletič et al. https://doi.org/10.1016/j.buildenv.2022.109484
2. How Does Turbulent Organized Structure Influence Surface Energy Balance Closure? A Study Utilizing Large-Eddy Simulation H. Liu et al. https://doi.org/10.1007/s10546-024-00888-4
3. Simplifying heat stress assessment: Evaluating meteorological variables as single indicators of outdoor thermal comfort in urban environments J. Anders et al. https://doi.org/10.1016/j.buildenv.2025.112658
4. Heat exposure variations and mitigation in a densely populated neighborhood during a hot day: Towards a people-oriented approach to urban climate management J. Geletič et al. https://doi.org/10.1016/j.buildenv.2023.110564
5. Effects of land surface model resolution on soil moisture and wildfire simulations using Community Land Model version 5 – Biogeochemistry H. Seo et al. https://doi.org/10.1016/j.jhydrol.2025.134085
6. Investigating multiscale meteorological controls and impact of soil moisture heterogeneity on radiation fog in complex terrain using semi-idealised simulations D. Lin et al. https://doi.org/10.5194/acp-23-14451-2023
7. Impacts of atmospheric turbulence on optic measurements over heterogeneous flat terrain: insights from large eddy simulations G. Kermarrec et al. https://doi.org/10.1364/OE.540584
8. On the suitability of dispersion models of varying degree of complexity for air quality assessment and urban planning W. Patiño et al. https://doi.org/10.1016/j.buildenv.2024.111892
9. A microscale UV radiation model for urban environments: Model description and evaluation based on measurements M. Sühring et al. https://doi.org/10.1016/j.buildenv.2025.112961
10. Barriers to urban hydrometeorological simulation: a review X. Chen et al. https://doi.org/10.5194/hess-29-3447-2025
11. Comparison of Mesoscale and Large-Eddy Simulation Results with Observational Data in the Atmospheric Boundary Layer S. Anisimov et al. https://doi.org/10.1134/S0001433825700239
12. PALM-meteo 2.8: Processor of PALM meteorological input data P. Krč et al. https://doi.org/10.5194/gmd-19-4071-2026
13. A city-scale turbulence-resolving model as an essential element of integrated urban services I. Esau et al. https://doi.org/10.1016/j.uclim.2024.102059
14. A framework combining multi-scale model and unmanned aerial vehicle for investigating urban micro-meteorology, thermal comfort, and energy balance J. Hang et al. https://doi.org/10.1016/j.scs.2024.105847
15. Evaluation of city-scale PALM model simulations and intra-urban thermal variability in Vienna, Austria using operational and crowdsourced data M. Žuvela-Aloise et al. https://doi.org/10.1016/j.uclim.2024.102245
16. Do the large-eddy simulations yield deeper atmospheric boundary layers in comparison to the RANS model simulations? R. S. & D. Bala Subrahamanyam https://doi.org/10.1016/j.jastp.2022.105954
17. Multi-scale assessment of urban heat and mitigation strategies using meso-to-micro-scale coupled modelling in a tropical city environment J. Chalakkal et al. https://doi.org/10.1016/j.scsadv.2026.100086
18. Numerical Simulations of the Impacts of Coherent Vortices on Wind Hazards in Urban Blocks D. Yang et al. https://doi.org/10.1007/s10546-025-00935-8
19. Effect of radiation interaction and aerosol processes on ventilation and aerosol concentrations in a real urban neighbourhood in Helsinki J. Strömberg et al. https://doi.org/10.5194/acp-23-9347-2023
20. SanDyPALM v1.0: static and dynamic drivers for the PALM model to facilitate urban microclimate simulations J. Vogel et al. https://doi.org/10.5194/gmd-18-6063-2025
21. Can Areawide Building Retrofitting Affect the Urban Microclimate? An LES Study for Berlin, Germany B. Maronga et al. https://doi.org/10.1175/JAMC-D-21-0216.1
22. Towards climate-responsible tree positioning: Detailed effects of trees on heat exposure in complex urban environments Z. Janků et al. https://doi.org/10.1016/j.ufug.2024.128500
23. Daytime pollutant accumulation driven by suppressed near-surface mixing in dense high-rise building canopies J. Kim & S. Kim https://doi.org/10.1016/j.uclim.2026.102884
24. palm_csd 25.10: a processing tool for static input data in the PALM model system S. Schubert et al. https://doi.org/10.5194/gmd-19-5515-2026
25. Assessing coupling between soil temperature and potential air temperature using PALM-4U: implications for idealized scenarios P. Glocke et al. https://doi.org/10.5194/esd-16-55-2025
26. Impact of Wind Turbines on Near-Surface Microclimate and Soil Moisture Under Different Stability Regimes S. Weerappulli Hewage et al. https://doi.org/10.1007/s10546-026-00996-3
27. Urban microscale simulations based on a Local Climate Zone wizard: Concept and validation using the PALM model system J. Anders & B. Maronga https://doi.org/10.1016/j.uclim.2025.102576
28. Large-eddy simulation of inland vessel emissions with dynamic source representation: dispersion characteristics in a realistic urban river environment M. Sühring et al. https://doi.org/10.1007/s10652-025-10067-9
29. Crowdsourcing air temperature data for the evaluation of the urban microscale model PALM—A case study in central Europe L. van der Linden et al. https://doi.org/10.1371/journal.pclm.0000197
30. Evaluation of energy balance closure adjustment and imbalance prediction methods in the convective boundary layer – A large eddy simulation study Y. Zhou et al. https://doi.org/10.1016/j.agrformet.2023.109382
31. Challenges of constructing and selecting the “perfect” boundary conditions for the large-eddy simulation model PALM J. Radović et al. https://doi.org/10.5194/gmd-17-2901-2024
32. Connecting inland ship emissions from on-board sampling, onshore measurements and large-eddy simulations P. Eger et al. https://doi.org/10.1016/j.aeaoa.2026.100449
33. On the effect of nocturnal radiation fog on the development of the daytime convective boundary layer: A large‐eddy simulation study J. Schwenkel & B. Maronga https://doi.org/10.1002/qj.4352
34. Parameter investigation for urban surface‐energy balance: A large‐eddy simulation study C. Wilson et al. https://doi.org/10.1002/qj.70154
35. Evaluating the radiative fidelity of WRF-driven PALM (v25.04) in high-resolution using RTM: impact of diverse urban morphology and vegetation on short-wave radiation J. Radović et al. https://doi.org/10.5194/gmd-19-6001-2026
36. Modelling the impact of an urban development project on microclimate and outdoor thermal comfort in a mid-latitude city J. Anders et al. https://doi.org/10.1016/j.enbuild.2023.113324
37. Reevaluating the Surface Energy Balance and Soil Thermal Diffusion Equations in the Noah Multi-Parameterization (Noah-MP) Scheme M. Nakanishi https://doi.org/10.2151/sola.2023-018
38. An enhanced emission module for the PALM model system 23.10 with application for PM10 emission from urban domestic heating E. Chan et al. https://doi.org/10.5194/gmd-18-1119-2025
39. PALM-SLUrb v24.04: a single-layer urban canopy model for the PALM model system – model description and first evaluation S. Karttunen et al. https://doi.org/10.5194/gmd-18-5725-2025
40. Capability of the building-resolving PALM model system to capture micrometeorological characteristics of an urban environment in Vienna, Austria B. Hollósi et al. https://doi.org/10.1016/j.cacint.2024.100152
41. Evaluation of a novel WRF/PALM-4U coupling scheme incorporating a roughness-corrected surface layer representation J. Vogel et al. https://doi.org/10.1016/j.uclim.2022.101311
42. Performance of PALM-4U/WRF model for simulating the urban meteorology of King Abdullah University of Science and Technology (KAUST), Saudi Arabia R. Thiruridathil et al. https://doi.org/10.1016/j.uclim.2024.102162
43. Challenges of high-fidelity air quality modeling in urban environments – PALM sensitivity study during stable conditions J. Resler et al. https://doi.org/10.5194/gmd-17-7513-2024
44. The Departure from Mixed-Layer Similarity During the Afternoon Decay of Turbulence in the Free-Convective Boundary Layer: Results from Large-Eddy Simulations O. Elguernaoui et al. https://doi.org/10.1007/s10546-023-00812-2
45. GEO4PALM v1.1: an open-source geospatial data processing toolkit for the PALM model system D. Lin et al. https://doi.org/10.5194/gmd-17-815-2024
46. Well-planned greenery improves urban air quality - modelling the effect of altered airflow and pollutant deposition M. Gustafsson et al. https://doi.org/10.1016/j.atmosenv.2024.120829
47. Rooftop photovoltaics in urban microscale LES modeling: Implementation and validation J. Anders et al. https://doi.org/10.1016/j.enbuild.2026.117511
48. PALM-simulated thermal comfort and shading effects under hot weather conditions in Suzhou, Subtropical City B. Cao et al. https://doi.org/10.1016/j.uclim.2026.102892
49. Assessing the Impact of Sensor Height on the Representativeness of Temperature-Monitoring Sites in a Dense Midrise Urban Development Using PALM-4U F. Steigerwald et al. https://doi.org/10.3390/atmos16091035
50. 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. https://doi.org/10.1002/qj.4858