67 citations as recorded by crossref.

1. Application of SUEWS model forced with WRF: Energy fluxes validation in urban and suburban Portuguese areas S. Rafael et al. https://doi.org/10.1016/j.uclim.2020.100662
2. Evaluation of nature-based solutions implementation scenarios, using urban surface modelling E. Panagiotakis et al. https://doi.org/10.47248/HKOD902101010003
3. Evaluation of the surface urban energy and water balance scheme (SUEWS) and its application in LCZs of the humid subtropical city Guangzhou Y. Gong et al. https://doi.org/10.1016/j.scs.2026.107507
4. Overview of the Alaskan Layered Pollution and Chemical Analysis (ALPACA) Field Experiment W. Simpson et al. https://doi.org/10.1021/acsestair.3c00076
5. Linking urban climate classification with an urban energy and water budget model: Multi-site and multi-seasonal evaluation P. Alexander et al. https://doi.org/10.1016/j.uclim.2016.08.003
6. Quantification and mapping of urban fluxes under climate change: Application of WRF-SUEWS model to Greater Porto area (Portugal) S. Rafael et al. https://doi.org/10.1016/j.envres.2017.02.033
7. A New Model to Downscale Urban and Rural Surface and Air Temperatures Evaluated in Shanghai, China D. Liu et al. https://doi.org/10.1175/JAMC-D-17-0255.1
8. The Air-temperature Response to Green/blue-infrastructure Evaluation Tool (TARGET v1.0): an efficient and user-friendly model of city cooling A. Broadbent et al. https://doi.org/10.5194/gmd-12-785-2019
9. Assessing the impact of changes in surface cover, human behaviour and climate on energy partitioning across Greater London H. Ward & C. Grimmond https://doi.org/10.1016/j.landurbplan.2017.04.001
10. Evaluation of the Surface Urban Energy and Water Balance Scheme (SUEWS) at a Dense Urban Site in Shanghai: Sensitivity to Anthropogenic Heat and Irrigation X. Ao et al. https://doi.org/10.1175/JHM-D-18-0057.1
11. Impact of BIPV windows on building energy consumption in street canyons: Model development and validation L. Chen et al. https://doi.org/10.1016/j.enbuild.2021.111207
12. Estimating heat storage in urban areas using multispectral satellite data and machine learning J. Hrisko et al. https://doi.org/10.1016/j.rse.2020.112125
13. Analysis of the Urban Energy Balance in Bahía Blanca (Argentina) M. Fernández et al. https://doi.org/10.1016/j.uclim.2021.100856
14. Urban meteorological forcing data for building energy simulations Y. Tang et al. https://doi.org/10.1016/j.buildenv.2021.108088
15. Effect of seasonal variability and land use on particle number and CO2 exchange in Helsinki, Finland M. Kurppa et al. https://doi.org/10.1016/j.uclim.2015.07.006
16. Carbon sequestration in different urban vegetation types in Southern Finland L. Thölix et al. https://doi.org/10.5194/bg-22-725-2025
17. Effects of snow cover on urban surface energy exchange: Observations in Harbin, China during the winter season T. Shui et al. https://doi.org/10.1002/joc.5873
18. Investigating the efficacy of a fast urban climate model for spatial planning of green and blue spaces for heat mitigation J. Chen et al. https://doi.org/10.1016/j.scitotenv.2024.176925
19. Anthropogenic and biogenic influence on VOC fluxes at an urban background site in Helsinki, Finland P. Rantala et al. https://doi.org/10.5194/acp-16-7981-2016
20. Evaluation of urban surface parameterizations in WRF model using energy fluxes measurements in Portugal S. Rafael et al. https://doi.org/10.1016/j.uclim.2019.100465
21. Compound urban heat risk revealed by co-location of social vulnerability and elevated temperatures in London, UK: A spatial analysis E. Roberts et al. https://doi.org/10.1016/j.scs.2025.106756
22. Improving winter condition simulations in SURFEX-TEB v9.0 with a multi-layer snow model and ice G. Colas et al. https://doi.org/10.5194/gmd-18-3453-2025
23. Improving user engagement and uptake of climate services in China N. Golding et al. https://doi.org/10.1016/j.cliser.2017.03.004
24. Barriers to urban hydrometeorological simulation: a review X. Chen et al. https://doi.org/10.5194/hess-29-3447-2025
25. Impact of urban canopy models and external parameters on the modelled urban energy balance in a tropical city M. Demuzere et al. https://doi.org/10.1002/qj.3028
26. Changes to the Water Balance Over a Century of Urban Development in Two Neighborhoods: Vancouver, Canada T. Kokkonen et al. https://doi.org/10.1029/2017WR022445
27. Carbon sequestration potential of street tree plantings in Helsinki M. Havu et al. https://doi.org/10.5194/bg-19-2121-2022
28. Evaluation of surface urban energy and water balance scheme (SUEWS) using scaled 2D model experiments under various seasons and sky conditions J. Hang et al. https://doi.org/10.1016/j.uclim.2024.101851
29. Improvement of Snow Depth Reproduction in Japanese Urban Areas by the Inclusion of a Snowpack Scheme in the SPUC Model R. ITO et al. https://doi.org/10.2151/jmsj.2018-053
30. Exploring historical and future urban climate in the Earth System Modeling framework: 1. Model development and evaluation D. Li et al. https://doi.org/10.1002/2015MS000578
31. Earth Observation Data Exploitation in Urban Surface Modelling: The Urban Energy Balance Response to a Suburban Park Development D. Tsirantonakis & N. Chrysoulakis https://doi.org/10.3390/rs14061473
32. A Python-enhanced urban land surface model SuPy (SUEWS in Python, v2019.2): development, deployment and demonstration T. Sun & S. Grimmond https://doi.org/10.5194/gmd-12-2781-2019
33. A global urban tree leaf area index dataset for urban climate modeling W. Dong et al. https://doi.org/10.1038/s41597-025-04729-y
34. WRF (v4.0)–SUEWS (v2018c) coupled system: development, evaluation and application T. Sun et al. https://doi.org/10.5194/gmd-17-91-2024
35. Black Carbon Particles Physicochemical Real‐Time Data Set in a Cold City: Trends of Fall‐Winter BC Accumulation and COVID‐19 H. Li & P. Ariya https://doi.org/10.1029/2021JD035265
36. Simulating heat and CO2 fluxes in Beijing using SUEWS V2020b: sensitivity to vegetation phenology and maximum conductance Y. Zheng et al. https://doi.org/10.5194/gmd-16-4551-2023
37. The Analytical Objective Hysteresis Model (AnOHM v1.0): methodology to determine bulk storage heat flux coefficients T. Sun et al. https://doi.org/10.5194/gmd-10-2875-2017
38. Evaluation of vertically resolved longwave radiation in SPARTACUS-Urban 0.7.3 and the sensitivity to urban surface temperatures M. Stretton et al. https://doi.org/10.5194/gmd-16-5931-2023
39. Parameterizing urban canopy radiation transfer using three-dimensional urban morphological parameters S. Mei et al. https://doi.org/10.1016/j.uclim.2025.102363
40. Simulating the impact of urban development pathways on the local climate: A scenario-based analysis in the greater Dublin region, Ireland P. Alexander et al. https://doi.org/10.1016/j.landurbplan.2016.02.006
41. Urban Multi-scale Environmental Predictor (UMEP): An integrated tool for city-based climate services F. Lindberg et al. https://doi.org/10.1016/j.envsoft.2017.09.020
42. A method based on elitist genetic algorithm for calibrating the thermo-physical surface indicators: Its principles, validation and application to bioswales J. Qian et al. https://doi.org/10.1016/j.ecolind.2023.110436
43. Sensitivity of Surface Urban Energy and Water Balance Scheme (SUEWS) to downscaling of reanalysis forcing data T. Kokkonen et al. https://doi.org/10.1016/j.uclim.2017.05.001
44. Surface energy balance fluxes in a suburban area of Beijing: energy partitioning variability J. Dou et al. https://doi.org/10.5194/acp-23-13143-2023
45. A method for assessing model extensions: application to modelling winter precipitation with a microscale obstacle-resolving meteorological model (MITRAS v3.3) K. Samsel et al. https://doi.org/10.5194/gmd-19-4885-2026
46. Impact of temporal resolution of precipitation forcing data on modelled urban‐atmosphere exchanges and surface conditions H. Ward et al. https://doi.org/10.1002/joc.5200
47. Energy and mass exchange at an urban site in mountainous terrain – the Alpine city of Innsbruck H. Ward et al. https://doi.org/10.5194/acp-22-6559-2022
48. Multi-scale urban ecosystem service changes and their impact mechanisms on human well-being J. Bi et al. https://doi.org/10.1016/j.jenvman.2025.124117
49. Aerosol Measurements Before and During Combustion of Various Pellets from Spruce Sawdust and Face Masks FFP2 N. Čajová Kantová et al. https://doi.org/10.1051/matecconf/202236902005
50. Simulating urban surface energy balance of an academic campus and surroundings in Mumbai, India M. Gupta et al. https://doi.org/10.1016/j.uclim.2024.102044
51. A study of the impact of landscape heterogeneity on surface energy fluxes in a tropical climate using SUEWS O. Obe et al. https://doi.org/10.1016/j.uclim.2023.101788
52. Assessing SUEWS-simulated near-surface air temperature and humidity using a paired forcing-validation framework in Xiong’an New Area L. Zhou et al. https://doi.org/10.1016/j.buildenv.2026.114894
53. Seasonal surface urban energy balance and wintertime stability simulated using three land‐surface models in the high‐latitude city Helsinki P. Karsisto et al. https://doi.org/10.1002/qj.2659
54. Urban storage heat flux variability explored using satellite, meteorological and geodata F. Lindberg et al. https://doi.org/10.1007/s00704-020-03189-1
55. Surface Urban Energy and Water Balance Scheme (SUEWS): Development and evaluation at two UK sites H. Ward et al. https://doi.org/10.1016/j.uclim.2016.05.001
56. Direct CO2 emissions and uptake at neighbourhood-scale across the urban area of Beijing Y. Zheng et al. https://doi.org/10.1016/j.cacint.2025.100252
57. SLUCM+BEM (v1.0): a simple parameterisation for dynamic anthropogenic heat and electricity consumption in WRF-Urban (v4.3.2) Y. Takane et al. https://doi.org/10.5194/gmd-17-8639-2024
58. Surface Urban Energy and Water Balance Scheme (v2020a) in vegetated areas: parameter derivation and performance evaluation using FLUXNET2015 dataset H. Omidvar et al. https://doi.org/10.5194/gmd-15-3041-2022
59. Modeling the Partitioning of Turbulent Fluxes at Urban Sites with Varying Vegetation Cover M. Best & C. Grimmond https://doi.org/10.1175/JHM-D-15-0126.1
60. Aerosols in an urban cold climate: Physical and chemical characteristics of nanoparticles D. Pal et al. https://doi.org/10.1016/j.uclim.2020.100713
61. Influence of urban resilience measures in the magnitude and behaviour of energy fluxes in the city of Porto (Portugal) under a climate change scenario S. Rafael et al. https://doi.org/10.1016/j.scitotenv.2016.06.037
62. Urban surface cover determined with airborne lidar at 2m resolution – Implications for surface energy balance modelling A. Nordbo et al. https://doi.org/10.1016/j.uclim.2015.05.004
63. Spatial Modeling of Local‐Scale Biogenic and Anthropogenic Carbon Dioxide Emissions in Helsinki L. Järvi et al. https://doi.org/10.1029/2018JD029576
64. Warming effects on the urban hydrology in cold climate regions L. Järvi et al. https://doi.org/10.1038/s41598-017-05733-y
65. Simulation of the radiative effect of haze on the urban hydrological cycle using reanalysis data in Beijing T. Kokkonen et al. https://doi.org/10.5194/acp-19-7001-2019
66. Radiation Fluxes in a Business District of Shanghai, China X. Ao et al. https://doi.org/10.1175/JAMC-D-16-0082.1
67. Modelling the biogenic CO 2 exchange in urban and non-urban ecosystems through the assessment of light-response curve parameters V. Bellucco et al. https://doi.org/10.1016/j.agrformet.2016.12.011