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Widely used to validate CFD for pedestrian-level wind and dispersion.","z":"12 parts","p":"Niigata, Japan","y":2025,"l":"CC BY 4.0","f":"lab","c":12,"b":1,"pa":["https://doi.org/10.5359/jawe.1998.76_55","Turbulent measurments of the flow field around a high-rise building"],"np":10,"x":"Ishihara, Takeshi Hibi, Kazuki Tominaga, Yoshihide Kikumoto, Hideki Okaze, Tsubasa Nonomura, Yoshitami Yoshie, Ryuichiro Tachibana, Takumi Kondo, Hiroaki Mutou, Katsuhiko Institute of Science Tokyo Niigata Institute of Technology The University of Tokyo Yamato University Tokyo Polytechnic University Wind Engineering Institute Turbulent measurments of the flow field around a high-rise building A study of gust wind speed using a novel unsteady Reynolds-Averaged Navier-Stokes model Comparison of various k-ε models and DSM applied to flow around a high-rise building - report on AIJ cooperative project for CFD prediction of wind environment - AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings 複合建物モデル周辺気流のCFDベンチマークテスト（その３） Wind Tunnel Experiment and Large Eddy Simulation of Pollutant/Thermal Dispersion in Non-isothermal Turbulent Boundary Layer 都市街区内の非等温流れ場における汚染物質拡散・熱拡散に関する風洞実験とLES Large-eddy simulation of flow and pollutant dispersion in a 3D urban street model located in an unstable boundary layer Comparison between Field Measurement and Wind Tunnel Experiments of Gas Dispersion in an Urban Area and Verification of Similarity Law 都市域における屋外実測と風洞実験による汚染物質拡散予測について","k":4.499,"d":20243,"g":{"resource_type":["measurements","case-setup"],"method":["wind-tunnel"],"geometry":["idealised-array","realistic-neighbourhood","single-building"],"topic":["wind-loads-pedestrian-wind","dispersion-air-quality"],"quantities":["velocity","turbulence-statistics","concentration","temperature"]}},{"s":"high-fidelity-surface-pressure-on-prismatic-buildings-wind-tunnel","t":"High-fidelity surface pressure on prismatic buildings (wind tunnel)","u":"Boundary-layer wind tunnel surface pressure measurements on parametric low-rise prismatic buildings. Useful for wind load studies and model validation.","z":"4 parts","p":"","y":2025,"l":"CC BY 4.0","f":"lab","c":4,"b":0,"np":0,"x":"Brand, Richard Kemper, Frank RWTH Aachen University","k":3.848,"d":20419,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["single-building"],"topic":["wind-loads-pedestrian-wind"],"quantities":["pressure"]}},{"s":"dataset-of-les-turbulent-inflow-boundary-conditions-for-the-aij-benchm","t":"LES turbulent inflow for the AIJ Niigata benchmark (Case E)","u":"Precursor LES turbulent inflow boundary conditions for AIJ actual-urban benchmark case.","z":"3.2 GB","p":"","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":1,"np":0,"x":"Dataset of LES turbulent inflow boundary conditions for the AIJ benchmark actual-urban case (Case-E, Niigata City, Japan) LI, Yezhan Wang, Wei Tominaga, Yoshihide Ikegaya, Naoki Kyushu University Niigata Institute of Technology","k":3.486,"d":20530,"g":{"resource_type":["simulation-output","case-setup"],"method":["LES"],"geometry":["city-scale"],"topic":["wind-loads-pedestrian-wind"],"quantities":["velocity","turbulence-statistics"]}},{"s":"palm-4u-land-atmosphere-sensitivity-runs-berlin-glocke","t":"Land-atmosphere sensitivity simulations, Berlin (Glocke)","u":"Input data for PALM-4U large-eddy simulations of coupled atmospheric and subsurface energy fluxes in Berlin. 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Useful for intra-urban temperature and wind variability.","z":"27 parts","p":"Freiburg, Germany","y":2026,"l":"CC BY 4.0","f":"field","c":27,"b":0,"pa":["https://doi.org/10.1016/j.uclim.2025.102496","Using Gradient Boosting for gap-filling to analyze temperature and humidity patterns in an urban weather station network in Freiburg, Germany"],"np":3,"x":"Christen, Andreas Feigel, Gregor Plein, Marvin Zeeman, Matthias Matzarakis, Andreas Schindler, Dirk Sulzer, Markus Mayer, Helmut Mohr, Manuel University of Freiburg Erasmus University Rotterdam Using Gradient Boosting for gap-filling to analyze temperature and humidity patterns in an urban weather station network in Freiburg, Germany High spatio-temporal and continuous monitoring of outdoor thermal comfort in urban areas: A generic and modular sensor network and outreach platform Modular approach to near-time data management for multi-city atmospheric environmental observation campaigns","k":3.226,"d":20530,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["city-scale"],"topic":["urban-heat-thermal-comfort","urban-boundary-layer"],"quantities":["temperature","humidity","velocity"],"instrument":["weather-station"]}},{"s":"eries-promotwa-thunderstorm-wind-actions-on-low-rise-buildings","t":"Thunderstorm wind loads on a low-rise building model (ERIES-ProMoTWA)","u":"Non-stationary pressure and velocity measurements on a low-rise duo-pitch building model in the WindEEE Dome under ABL, downburst and combined winds. Useful for wind-load studies of non-synoptic winds.","z":"2 parts","p":"","y":2026,"l":"CC BY 4.0","f":"lab","c":2,"b":0,"np":0,"x":"RICCIARDELLI, Francesco Avossa, Alberto Maria Picozzi, Vincenzo Sørensen, John Dalsgaard Sterling, Mark Geurts, Chris rizzo, fabio WindEEE Bitsuamlak, Girma Birhane, Tibebu Aalborg University Politecnico di Bari TNO innovation for life University of Birmingham University of Campania \"Luigi Vanvitelli\" Western University","k":3.095,"d":20483,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["single-building"],"topic":["wind-loads-pedestrian-wind"],"quantities":["pressure","velocity"]}},{"s":"urbisphere-doppler-wind-lidar-paris","t":"urbisphere Doppler wind lidar: Paris","u":"Raw Doppler wind lidar measurements at the Paris-region site Arboretum Vallee-aux-Loups from the urbisphere campaign. Useful for urban boundary-layer wind and turbulence profiles.","z":"11 parts","p":"Paris, France","y":2025,"l":"Restricted","f":"field","c":11,"b":0,"pa":["https://doi.org/10.5194/essd-2025-167","Harmonised boundary layer wind profile dataset from six ground-based doppler wind lidars in a transect across Paris, France"],"np":3,"x":"Morrison, William Looschelders, Dana Fenner, Daniel Zeeman, Matthias Grimmond, Sue Christen, Andreas Michoud, Vincent Foret, Gilles Holst, Christopher Vincent, Michoud University of Freiburg University of Reading Institut Pierre-Simon Laplace Karlsruhe Institute of Technology Met Office Météo-France Harmonised boundary layer wind profile dataset from six ground-based doppler wind lidars in a transect across Paris, France Harmonised boundary layer wind profile dataset from six ground-based Doppler wind lidars in a transect across Paris, France Modular approach to near-time data management for multi-city atmospheric environmental observation campaigns","k":3.082,"d":20438,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["city-scale"],"topic":["urban-boundary-layer"],"quantities":["velocity","wind-profile","turbulence-statistics"],"instrument":["lidar"]}},{"s":"global-building-heights-for-urban-studies-ut-globus","t":"Global building heights for urban studies (UT-GLOBUS)","u":"UT-GLOBUS global building height dataset for urban studies and modelling.","z":"54 GB","p":"","y":2024,"l":"CC BY 4.0","f":"tool","c":0,"b":0,"pa":["https://doi.org/10.1038/s41597-024-03719-w","GLObal Building heights for Urban Studies (UT-GLOBUS) for city- and street- scale urban simulations: Development and first applications"],"np":1,"x":"GLObal Building heights for Urban Studies (UT-GLOBUS) Kamath, Harsh Singh, Manmeet Malviya, Neetiraj Martilli, Alberto He, Liu Aliaga, Daniel He, Cenlin Chen, Fei Magruder, Lori Yang, Zong-Liang Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas Indian Institute of Tropical Meteorology NSF National Center for Atmospheric Research Purdue University West Lafayette The University of Texas at Austin GLObal Building heights for Urban Studies (UT-GLOBUS) for city- and street- scale urban simulations: Development and first applications","k":3.079,"d":19852,"g":{"resource_type":["geometry"],"geometry":["city-scale"]}},{"s":"high-resolution-dataset-of-time-integrated-3d-urban-pollutant-concentr","t":"Synthetic time-integrated 3D pollutant concentration fields in urban areas","u":"High-resolution synthetic 3D concentration fields of an air pollutant in urban environments. 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Useful for mesoscale urban air-quality and climate studies.","z":"4 cases","p":"Barcelona, Spain","y":2025,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"WRF-Chem output- concentrations for the 4 simulations: reference, urbanization, extension of agricultural areas and more urban parks Alba, Badia WRF-Chem","k":2.925,"d":20411,"g":{"resource_type":["simulation-output"],"method":["mesoscale"],"geometry":["city-scale"],"topic":["dispersion-air-quality","urban-heat-thermal-comfort"],"quantities":["concentration","temperature"]}},{"s":"wcrp-cordex-fps-urb-rcc-stage-0-core-dataset-for-paris","t":"Regional climate model test case for Paris (CORDEX FPS URB-RCC)","u":"Core dataset for testing regional climate models and urban schemes over Paris.","z":"35 GB","p":"Paris, France","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"WCRP CORDEX FPS URB-RCC STAGE-0 core dataset for Paris Hoffmann, Peter Langendijk, Gaby S. Halenka, Tomas Milovac, Josipa Adinolfi, Marianna Aldama-Campino, Aitor Bart, Frederik Bastin, Sophie Belda, Michal Brousse, Oscar 1) German Meteorological Service (DWD), Research and Development, Offenbach am Main, Germany; 2) CMCC Foundation - Euro-Mediterranean Center on Climate Change, Caserta, Italy 1) Institute of Environmental Design and Engineering, University College London, London, United Kingdom 1) Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain, 2)TECNALIA, Basque Research and Technology Alliance (BRTA), Derio, Spain 1) Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma 2, Roma, Italy; 2) The Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy 1) UBA-CONICET, Centro de Investigaciones del Mar y la Atmósfera (CIMA), Buenos Aires, Argentina; 2) CNRS–IRD–CONICET–UBA, Institut Franco-Argentin d'Études sur le Climat et ses Impacts (IRL IFAECI), Buenos Aires, Argentina AMS Institute & Wageningen University and Research: Amsterdam, NL","k":2.916,"d":20703,"g":{"resource_type":["case-setup","simulation-output"],"method":["mesoscale"],"geometry":["city-scale"],"topic":["parameterisation"]}},{"s":"present-and-future-daily-air-temperature-records-and-indicator-maps-fo","t":"Present and future daily air temperature and heat-stress maps for 54 African cities","u":"Present and future daily air temperature and heat-stress indicator maps from UrbClim for 54 African cities.","z":"112 GB","p":"","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Present and future daily air temperature records and indicator maps for 54 African cities at 300 m resolution Lanssens, Benjamin Crols, Tomas De Ridder, Koen Souverijns, Niels Uljee, Inge VITO UrbClim","k":2.914,"d":20749,"g":{"resource_type":["simulation-output"],"method":["mesoscale"],"geometry":["city-scale"],"topic":["urban-heat-thermal-comfort"],"quantities":["temperature"]}},{"s":"precursor-turbulent-inflow-dataset-for-large-eddy-simulation-of-a-mich","t":"Precursor turbulent inflow for LES of Michelstadt","u":"Turbulent inflow data of a rough atmospheric boundary layer for LES of Michelstadt, the semi-idealised Central European city model from the University of Hamburg wind-tunnel test cases (CEDVAL-LES), not the real town.","z":"36 GB","p":"","y":2024,"l":"","f":"cfd","c":0,"b":0,"np":0,"x":"Precursor turbulent inflow dataset for large eddy simulation of a Michelstadt city Usman, Shaukat Giljarhus, Knut Erik Teigen Giljarhus University of Stavanger","k":2.909,"d":19723,"g":{"resource_type":["simulation-output","case-setup"],"method":["LES"],"geometry":["idealised-array"],"topic":["urban-boundary-layer"],"quantities":["velocity","turbulence-statistics"]}},{"s":"urban-capu-bench-reproducibility-package","t":"Urban-CAPU-Bench: source inversion benchmark for urban pollutant dispersion","u":"Benchmark package for source inversion of urban pollution dispersion using building geometry and sparse sensors, including PPMLES/MUST summaries. 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Useful for urban boundary-layer wind and turbulence profiles.","z":"16 parts","p":"Berlin, Germany","y":2024,"l":"Restricted","f":"field","c":16,"b":0,"np":0,"x":"Fenner, Daniel Morrison, William Zeeman, Matthias Grimmond, Sue Christen, Andreas Barlow, Janet F Meier, Fred Holtmann, Achim Scherer, Dieter University of Freiburg University of Reading Technische Universität Berlin Technische Universität Berlin (TUB)","k":2.701,"d":19993,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["city-scale"],"topic":["urban-boundary-layer"],"quantities":["velocity","wind-profile","turbulence-statistics"],"instrument":["lidar"]}},{"s":"iagodz-supplementary-material-for-impact-of-urban-morphology-on-firebr","t":"LES of firebrand transport and deposition over idealised cube arrays","u":"Supplementary files for LES of firebrand transport and deposition over 12 idealised cubical arrays.","z":"12 cases","p":"","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"iagodz/Supplementary-material-for-Impact-of-Urban-Morphology-on-Firebrand-Transport-and-Deposition: Complementary Files for Figure and Table Generation - Impact of Urban Morphology on Firebrand Transport and Deposition Iago Dal-Ri dos Santos","k":2.65,"d":20550,"g":{"resource_type":["simulation-output","software"],"method":["LES"],"geometry":["idealised-array"],"topic":["dispersion-air-quality"],"quantities":["velocity","concentration"]}},{"s":"cwe2000-cube-flow-validation-silsoe","t":"CWE2000 cube flow validation (Silsoe)","u":"Full-scale surface pressure and velocity measurements on the 6 m Silsoe cube in natural wind, with wind-tunnel comparisons. Used as the CWE2000 validation case for CFD; time series and compiled means and variances are available.","z":"","p":"","y":2002,"l":"","f":"field","c":0,"b":1,"pa":["http://techno-press.org/?page=container&journal=was&volume=5&num=2","A 6 m cube in an atmospheric boundary layer flow (parts 1 and 2)"],"np":1,"x":"University of Birmingham A 6 m cube in an atmospheric boundary layer flow (parts 1 and 2) Andrew Quinn","k":2.622,"d":11688,"g":{"resource_type":["measurements","case-setup"],"method":["field","wind-tunnel"],"geometry":["single-building"],"topic":["wind-loads-pedestrian-wind"],"quantities":["velocity","turbulence-statistics","pressure"]}},{"s":"globalbuildingatlas-tiles-europe","t":"Building footprints and heights for Europe (GlobalBuildingAtlas tiles)","u":"European tiles of the GlobalBuildingAtlas, with building footprints and heights split into 0.1 degree tiles by country. 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Stewart Jasper van Vliet Benjamin Bechtel Environmental Department, CIEMAT Global Cities Institute, University of Toronto, Institute for Environmental Studies, Vrije Universiteit Amsterdam, Ruhr University Bochum (RUB) School of Geography, University College Dublin A global map of local climate zones to support earth system modelling and urban-scale environmental science","k":2.447,"d":19638,"g":{"resource_type":["geometry"],"geometry":["city-scale"],"topic":["parameterisation"]}},{"s":"large-eddy-simulations-for-an-urban-canopy-and-vegetated-canopies-on-c","t":"LES of urban and vegetated canopies on complex terrain","u":"LES output of an urban canopy and dense vegetated canopies over varying terrain complexity, for roughness-sublayer momentum statistics and TKE budgets.","z":"38 GB","p":"","y":2025,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Large Eddy Simulations for an Urban Canopy and Vegetated Canopies on Complex Terrain Udina, Benjamin Mark Calaf, Marc Giometto, Marco Amazon.com Inc University of Utah","k":2.447,"d":20425,"g":{"resource_type":["simulation-output"],"method":["LES"],"geometry":["idealised-array"],"topic":["urban-boundary-layer"],"quantities":["turbulence-statistics","velocity"]}},{"s":"data-for-diff-sport-diffusion-based-sensor-placement-optimization-and","t":"DNS of urban turbulent flow for sensor placement and reconstruction (Diff-SPORT)","u":"Data for diffusion-based sensor placement and reconstruction of turbulent flows in urban environments from DNS. 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Useful for urban air quality and turbulence studies.","z":"2 parts","p":"Prague, Czech Republic","y":2024,"l":"CC BY 4.0","f":"cfd","c":2,"b":0,"pa":["https://doi.org/10.5194/gmd-17-2901-2024","Challenges of constructing and selecting the “perfect” boundary conditions for the large-eddy simulation model PALM"],"np":1,"x":"Geletič, Jan Bauerová, Petra Belda, Michal Bureš, Martin Eben, Kryštof Fuka, Vladimír Jareš, Radek Karel, Jan Krč, Pavel Patiño, William Czech Academy of Sciences, Institute of Computer Science Czech Hydrometeorological Institute Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University Studio of Ecological Models Czech Academy of Sciences Nansen Environmental and Remote Sensing Center PALM Challenges of constructing and selecting the “perfect” boundary conditions for the large-eddy simulation model PALM","k":2.328,"d":19843,"g":{"resource_type":["simulation-output"],"method":["LES"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality"],"quantities":["concentration","velocity"]}},{"s":"luma-london-micrometeorological-data-archive","t":"LUMA: London Micrometeorological Data Archive","u":"Archive of London micrometeorological measurements covering wind, temperature, humidity, radiation and concentration. 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Useful for urban pollutant dispersion studies.","z":"26 GB","p":"","y":2026,"l":"CC BY 4.0","f":"tool","c":0,"b":0,"np":0,"x":"CFD analysis of vegetation density impact during urban air pollution from Wildfire Petrou, Anastasios Fokaides, Paris Frederick University","k":2.286,"d":20738,"g":{"resource_type":["simulation-output"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality"],"quantities":["concentration","velocity"]}},{"s":"wind-tunnel-flow-and-pollutant-exchange-between-a-street-canyon-and-in","t":"Wind-tunnel flow and pollutant exchange between a street canyon and intersections","u":"1:400 wind-tunnel model with uniform and non-uniform roof heights at 90° and 45° wind: LDA velocities and fast-FID concentrations quantifying pollutant exchange through canyon tops and lateral openings, packaged as a CFD validation case.","z":"","p":"","y":2017,"l":"ERCOFTAC Knowledge Base licence (reuse with attribution)","f":"lab","c":0,"b":1,"pa":["https://doi.org/10.1016/j.envpol.2017.03.073","Impact of roof height non-uniformity on pollutant transport between a street canyon and intersections"],"np":1,"x":"Štěpán Nosek Institute of Thermomechanics, Czech Academy of Sciences Impact of roof height non-uniformity on pollutant transport between a street canyon and intersections","k":2.272,"d":17167,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["street-canyon","idealised-array"],"topic":["dispersion-air-quality","ventilation"],"quantities":["velocity","turbulence-statistics","concentration"]}},{"s":"large-chlorine-releases-inside-a-mock-urban-container-array-dugway-jac","t":"Large chlorine releases inside a mock urban container array, Dugway (Jack Rabbit II)","u":"5–20 tonne pressurised liquefied chlorine releases in 2015–16, partly inside a staggered array of about 80 shipping containers, with concentration arcs out to 11 km: the key dense-gas benchmark for built environments.","z":"","p":"Dugway Proving Ground, Utah, United States","y":2016,"l":"On request","f":"field","c":0,"b":1,"np":0,"x":"DHS Chemical Security Analysis Center Dugway Proving Ground Utah Valley University Jack Rabbit programme (DHS)","k":2.262,"d":16801,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["idealised-array"],"topic":["dispersion-air-quality"],"quantities":["concentration","velocity","temperature"],"instrument":["tracer","weather-station","sonic"]}},{"s":"wind-tunnel-les-validation-data-for-an-idealised-european-city-a-cube","t":"Wind-tunnel LES validation data for an idealised European city, a cube array and approach boundary layers (CEDVAL-LES)","u":"Time-resolved wind-tunnel velocity data built to validate LES: three approach boundary layers, flow and puff dispersion in a cube array, and the 1:225 idealised Central-European city Michelstadt with flat or slanted roofs.","z":"","p":"","y":2016,"l":"Free with citation; password on request","f":"lab","c":0,"b":1,"pa":["https://doi.org/10.1007/s10652-016-9507-7","LES validation of urban flow, part I: flow statistics and frequency distributions"],"np":1,"x":"Bernd Leitl Frank Harms Denise Hertwig Michael Schatzmann University of Hamburg, Environmental Wind Tunnel Laboratory LES validation of urban flow, part I: flow statistics and frequency distributions EWTL Hamburg","k":2.262,"d":16801,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["idealised-array","realistic-neighbourhood","rough-wall"],"topic":["urban-boundary-layer","dispersion-air-quality"],"quantities":["velocity","turbulence-statistics","concentration"]}},{"s":"envi-met-simulation-dataset-via-milano-pescara-urban-microclimate-asse","t":"Microclimate simulations of Via Milano, Pescara: current and 2050 scenarios","u":"Full ENVI-met outputs and configuration for Via Milano, Pescara, with current and 2050 scenarios before and after redesign. 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the main validation case of the COST 732 CFD best-practice guideline.","z":"","p":"","y":2009,"l":"Free with citation; password on request","f":"lab","c":0,"b":1,"pa":["https://doi.org/10.1504/ijep.2011.038443","The COST 732 Best Practice Guideline for CFD simulation of flows in the urban environment: a summary"],"np":1,"x":"University of Hamburg, Environmental Wind Tunnel Laboratory The COST 732 Best Practice Guideline for CFD simulation of flows in the urban environment: a summary EWTL Hamburg","k":2.192,"d":14245,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["idealised-array"],"topic":["dispersion-air-quality"],"quantities":["velocity","turbulence-statistics","concentration"]}},{"s":"tracer-studies-around-madison-square-garden-and-in-midtown-manhattan-n","t":"Tracer studies around Madison Square Garden and in Midtown Manhattan, New York City (MSG05 and MID05)","u":"Urban Dispersion Program field studies in 2005: two intensive periods around Madison Square Garden (March) and six in Midtown (August) with up to seven perfluorocarbon and SF6 tracers, street-level and rooftop samplers, sonic anemometers and sodars, plus indoor and subway sampling in MID05.","z":"","p":"Midtown Manhattan, New York City, United States","y":2005,"l":"On request; MID05 tracer data restricted","f":"field","c":0,"b":1,"np":0,"x":"Pacific Northwest National Laboratory US Department of Homeland Security Julia Flaherty (PNNL)","k":2.152,"d":12784,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality","ventilation"],"quantities":["concentration","velocity","turbulence-statistics"],"instrument":["tracer","sonic","weather-station"]}},{"s":"year-long-urban-energy-balance-and-boundary-layer-campaign-in-toulouse","t":"Year-long urban energy-balance and boundary-layer campaign in Toulouse (CAPITOUL)","u":"Météo-France/CNRM campaign from February 2004 to February 2005: a city-centre flux tower and surface stations, boundary-layer profilers and intensive periods on the urban heat island, the urban boundary layer and aerosols. Widely used to evaluate urban canopy schemes such as TEB.","z":"","p":"Toulouse, France","y":2005,"l":"On request","f":"field","c":0,"b":1,"pa":["https://doi.org/10.1007/s00703-008-0289-4","The Canopy and Aerosol Particles Interactions in TOulouse Urban Layer (CAPITOUL) experiment"],"np":1,"x":"Météo-France, CNRM The Canopy and Aerosol Particles Interactions in TOulouse Urban Layer (CAPITOUL) experiment Valéry Masson (CNRM)","k":2.152,"d":12784,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["city-scale"],"topic":["urban-heat-thermal-comfort","urban-boundary-layer","parameterisation"],"quantities":["heat-flux","radiation","temperature","humidity","velocity","boundary-layer-height"],"instrument":["eddy-covariance","weather-station","radiosonde","lidar"]}},{"s":"wind-effects-on-non-standard-shapes-and-structures-eries-wenss","t":"Wind-tunnel pressures on non-standard shapes and structures (ERIES-WENSS)","u":"Wind tunnel pressure maps for non-standard shapes and structures. 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Useful as wind-engineering CFD case setups and output.","z":"5.6 GB","p":"","y":2021,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"ExaQUte Data Quentin Ayoul-Guilmard Rosa M. Badia Jorge Ejarque Sundar Ganesh Anoop Kodakkal Fabio Nobile Marc Núñez Jordi Pons-Prats Javier Principe Riccardo Rossi BSC CIMNE EPFL TUM UPC Kratos","k":2.133,"d":18961,"g":{"resource_type":["simulation-output","case-setup"],"method":["LES","RANS"],"geometry":["single-building"],"topic":["wind-loads-pedestrian-wind"],"quantities":["velocity","pressure","turbulence-statistics"]}},{"s":"tracer-and-meteorology-field-campaign-in-downtown-oklahoma-city-joint","t":"Tracer and meteorology field campaign in downtown Oklahoma City (Joint Urban 2003)","u":"DTRA/DHS field study in July 2003: ten 8-hour intensive periods of SF6 releases in the central business district, sampled by 194 bag samplers and 25 fast-response analysers, with winds and turbulence measured at about 100 sites. A classic real-city dispersion benchmark.","z":"","p":"Oklahoma City, United States","y":2003,"l":"On request","f":"field","c":0,"b":1,"pa":["https://doi.org/10.1007/s10546-011-9610-8","Momentum and Turbulent Kinetic Energy Budgets Within the Park Avenue Street Canyon During the Joint Urban 2003 Field Campaign"],"np":1,"x":"Pacific Northwest National Laboratory Dugway Proving Ground NOAA ARL Field Research Division Momentum and Turbulent Kinetic Energy Budgets Within the Park Avenue Street Canyon During the Joint Urban 2003 Field Campaign Julia Flaherty (PNNL)","k":2.132,"d":12053,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality","urban-boundary-layer"],"quantities":["concentration","velocity","turbulence-statistics","temperature","wind-profile"],"instrument":["tracer","sonic","lidar","radiosonde","weather-station"]}},{"s":"urban-suburban-and-rural-flux-profile-and-tracer-measurements-in-basel","t":"Urban, suburban and rural flux, profile and tracer measurements in Basel (BUBBLE)","u":"Basel Urban Boundary Layer Experiment, 2001–02: a year-long network of energy-balance towers across urban, suburban and rural sites, with a June–July 2002 intensive period adding a wind profiler, sodar/RASS, lidar, a street-canyon tower and four SF6 tracer releases. A reference for urban roughness-sublayer turbulence and energy balance.","z":"","p":"Basel, Switzerland","y":2002,"l":"On request","f":"field","c":0,"b":1,"pa":["https://doi.org/10.1007/s00704-004-0117-9","BUBBLE – an Urban Boundary Layer Meteorology Project"],"np":1,"x":"University of Basel ETH Zurich BUBBLE – an Urban Boundary Layer Meteorology Project Andreas Christen (University of Freiburg)","k":2.122,"d":11688,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["realistic-neighbourhood","city-scale"],"topic":["urban-boundary-layer","urban-heat-thermal-comfort","dispersion-air-quality"],"quantities":["velocity","turbulence-statistics","temperature","humidity","heat-flux","radiation","concentration","wind-profile"],"instrument":["eddy-covariance","sonic","lidar","tracer","tall-tower","weather-station"]}},{"s":"envi-met-simulation-dataset-for-the-life-agreen-net-project-2019-and-2","t":"Green infrastructure microclimate simulations, 2019 and 2030 (LIFE AGREEN_NET)","u":"ENVI-met 5.6.1 simulation results for green infrastructure and nature-based solutions in the LIFE AGREEN_NET project (2019 and 2030). Useful for urban thermal comfort studies.","z":"17 GB","p":"","y":2025,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Envi-MET Simulation Dataset for the LIFE AGREEN_NET Project (2019 and 2030) MARCHESANI, Graziano Enzo Cocci Grifoni, Roberta Università di Camerino ENVI-met","k":2.116,"d":20117,"g":{"resource_type":["simulation-output"],"method":["RANS"],"geometry":["realistic-neighbourhood"],"topic":["urban-heat-thermal-comfort"],"quantities":["temperature","humidity","radiation"]}},{"s":"wind-tunnel-flow-and-dispersion-around-single-buildings-street-canyons","t":"Wind-tunnel flow and dispersion around single buildings, street canyons and building arrays (CEDVAL)","u":"The classic Hamburg validation database of wind-tunnel flow and concentration data with fully documented boundary conditions, for isolated obstacles, street canyons and obstacle arrays.","z":"","p":"","y":2001,"l":"Free with citation; password on request","f":"lab","c":0,"b":1,"pa":["https://doi.org/10.1504/ijep.2001.000624","High-resolution wind-tunnel datasets from the University of Hamburg: validation of street canyon dispersion models"],"np":1,"x":"Bernd Leitl Michael Schatzmann University of Hamburg, Environmental Wind Tunnel Laboratory High-resolution wind-tunnel datasets from the University of Hamburg: validation of street canyon dispersion models EWTL Hamburg","k":2.112,"d":11323,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["single-building","street-canyon","idealised-array"],"topic":["dispersion-air-quality"],"quantities":["velocity","turbulence-statistics","concentration"]}},{"s":"urban-tracer-and-meteorology-experiment-downtown-salt-lake-city-urban","t":"Urban tracer and meteorology experiment, downtown Salt Lake City (URBAN 2000)","u":"Classic multiscale urban dispersion campaign: SF6 and perfluorocarbon tracer releases with meteorology around a single building, across the downtown grid and over the wider city, mostly in stable night-time conditions. Files are openly downloadable by IOP.","z":"","p":"Salt Lake City, United States","y":2000,"l":"Free to use; acknowledge the DOE Chemical and Biological National Security Program","f":"field","c":0,"b":1,"pa":["https://doi.org/10.1175/1520-0477(2002)083<0521:OOUAMF>2.3.CO;2","Overview of URBAN 2000: A Multiscale Field Study of Dispersion through an Urban Environment"],"np":1,"x":"Pacific Northwest National Laboratory Lawrence Livermore National Laboratory Los Alamos National Laboratory NOAA ARL Field Research Division Overview of URBAN 2000: A Multiscale Field Study of Dispersion through an Urban Environment","k":2.102,"d":10957,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["realistic-neighbourhood","city-scale"],"topic":["dispersion-air-quality","urban-boundary-layer"],"quantities":["concentration","velocity","turbulence-statistics","temperature","wind-profile"],"instrument":["tracer","sonic","weather-station","radiosonde","lidar"]}},{"s":"wind-tunnel-flow-and-dispersion-in-a-model-of-downtown-oklahoma-city-c","t":"Wind-tunnel flow and dispersion in a model of downtown Oklahoma City (COST 732)","u":"Hamburg wind-tunnel model of the Joint Urban 2003 area of Oklahoma City, used in COST 732; the openly obtainable counterpart to the Joint Urban 2003 field data, whose archive is offline.","z":"","p":"Oklahoma City (model), United States","l":"Free with citation; password on request","f":"lab","c":0,"b":1,"np":0,"x":"University of Hamburg, Environmental Wind Tunnel Laboratory EWTL Hamburg","k":2.102,"d":0,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality"],"quantities":["velocity","turbulence-statistics","concentration"]}},{"s":"city-scale-chemistry-transport-model-episode-citychem","t":"EPISODE-CityChem: city-scale chemistry transport model","u":"CityChem extension to the EPISODE model for urban atmospheric chemistry and dispersion at city scale.","z":"16 GB","p":"","y":2026,"l":"","f":"cfd","c":0,"b":0,"np":0,"x":"City-scale Chemistry Transport Model EPISODE-CityChem Matthias Karl Helmholtz-Zentrum Hereon EPISODE-CityChem","k":2.102,"d":20740,"g":{"resource_type":["software"],"method":["mesoscale"],"geometry":["city-scale"],"topic":["dispersion-air-quality"],"quantities":["concentration"]}},{"s":"dataset-containing-dts-data-used-in-karttunen-et-al-quantifying-coasta","t":"Distributed temperature sensing of the coastal urban surface layer, Helsinki","u":"Distributed temperature sensing potential-temperature profiles along a 31 m mast in Helsinki, with turbulence temperature statistics. Useful for coastal urban surface-layer studies.","z":"18 GB","p":"Helsinki, Finland","y":2021,"l":"CC BY 4.0","f":"field","c":0,"b":0,"np":0,"x":"Dataset containing DTS-data used in Karttunen et al. \"Quantifying coastal urban surface layer structure using distributed temperature sensing in Helsinki, Finland\" Peltola, Olli Natural Resources Institute Finland","k":2.1,"d":18982,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["city-scale"],"topic":["urban-boundary-layer"],"quantities":["temperature","turbulence-statistics"],"instrument":["tall-tower"]}},{"s":"leuven-cool-citizen-science-urban-weather-station-network-raw-data","t":"Citizen-science weather station network, Leuven (Leuven.cool)","u":"Raw 16-second data from about 110 citizen-science low-cost weather stations in Leuven, 2019-2025. Useful for urban temperature and microclimate studies.","z":"15 GB","p":"Leuven, Belgium","y":2026,"l":"CC BY-NC 4.0","f":"field","c":0,"b":0,"pa":["https://doi.org/10.5194/essd-14-4681-2022","Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium"],"np":1,"x":"Leuven.cool citizen science urban weather station network: raw data Reyniers, Maarten Beele, Eva Somers, Ben Aerts, Raf KU Leuven Royal Meteorological Institute of Belgium Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium","k":2.064,"d":20727,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["city-scale"],"topic":["urban-heat-thermal-comfort"],"quantities":["temperature","humidity"],"instrument":["weather-station"]}},{"s":"input-data-for-palm-les-simulations-of-vehicle-electrification-effects","t":"Vehicle electrification effects on urban aerosols, Helsinki: LES input data","u":"PALM-LES input files for simulating how vehicle fleet electrification changes local aerosol concentrations in Helsinki. Useful as a ready urban LES case setup.","z":"3.9 GB","p":"Helsinki, Finland","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Input Data for PALM-LES Simulations of Vehicle Electrification Effects on Urban Aerosols in Helsinki Atashi, Nahid University of Helsinki PALM","k":2.055,"d":20678,"g":{"resource_type":["case-setup"],"method":["LES"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality"],"quantities":["concentration"]}},{"s":"eries-cu-bold-coastal-urban-boundary-layer-dynamics","t":"Doppler lidar observations of the coastal urban boundary layer (ERIES-CU-BOLD)","u":"Continuous Doppler wind lidar measurements of the coastal urban boundary layer and adjacent marine layer.","z":"14 GB","p":"","y":2026,"l":"CC BY 4.0","f":"field","c":0,"b":0,"np":0,"x":"ERIES-CU-BOLD: Coastal Urban-BOundary Layer Dynamics Romanic, Djordje BURLANDO, MASSIMILIANO Ricci, Alessio Ren, Yaohong Istituto Universitario di Studi Superiori di Pavia McGill University University of Genoa","k":2.05,"d":20580,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["city-scale"],"topic":["urban-boundary-layer"],"quantities":["velocity","wind-profile","boundary-layer-height"],"instrument":["lidar"]}},{"s":"5min-m-apss-data","t":"Hazardous gas dispersion simulations over a chemical park","u":"Simulated hazardous gas dispersion data from GRAMM-GRAL over a chemical park building layout. Useful for dispersion and ML studies.","z":"15 GB","p":"","y":2025,"l":"Apache 2.0","f":"cfd","c":0,"b":0,"np":0,"x":"5min_m_apss_Data Jianyao, yudie Zhang, Xiaole Tsinghua University GRAMM-GRAL","k":2.049,"d":20330,"g":{"resource_type":["simulation-output"],"method":["RANS"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality"],"quantities":["concentration","velocity"]}},{"s":"three-dimensional-ultrasonic-anemometer-data-of-the-beijing-325-m-mete","t":"Three-dimensional ultrasonic anemometer data of the Beijing 325 m meteorological tower (November 2017)","u":"3D ultrasonic anemometer data from the Beijing 325 m tower for urban boundary-layer turbulence.","z":"14 GB","p":"Beijing, China","y":2026,"l":"CC BY 4.0","f":"field","c":0,"b":0,"np":0,"x":"Shi, Yu","k":2.045,"d":20571,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["city-scale"],"topic":["urban-boundary-layer"],"quantities":["velocity","turbulence-statistics"],"instrument":["sonic","tall-tower"]}},{"s":"politecnico-di-milano-wind-tunnel-test-data-on-high-rise-building","t":"Wind-tunnel pressures on a high-rise building (Politecnico di Milano)","u":"High-resolution wind tunnel pressure data for a high-rise building at Politecnico di Milano. Useful for wind load studies.","z":"16 GB","p":"","y":2020,"l":"CC BY","f":"lab","c":0,"b":0,"np":0,"x":"Politecnico di Milano - Wind tunnel test data on high-rise building Giulia Pomaranzi Luca Amerio Alberto Zasso ARUP UK Politecnico di Milano","k":2.036,"d":18437,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["single-building"],"topic":["wind-loads-pedestrian-wind"],"quantities":["pressure"]}},{"s":"iwsus-inhomogeneous-wind-scheme-for-urban-streets","t":"IWSUS: inhomogeneous wind scheme for urban streets","u":"Resulting data and source code for an inhomogeneous wind scheme for urban street canyons, validated against CFD. Useful for street-canyon pollutant dispersion parameterisation.","z":"5 parts","p":"","y":2022,"l":"CC BY 4.0","f":"cfd","c":5,"b":0,"np":0,"x":"Chen, Yuanhao Liu, Zhenxin Wang, Yuhang Liu, Cheng Liu, Shuhua Liao, Hong IWSUS","k":2.021,"d":19354,"g":{"resource_type":["simulation-output","software"],"method":["RANS","analytical"],"geometry":["street-canyon"],"topic":["dispersion-air-quality","parameterisation","urban-boundary-layer"],"quantities":["concentration","velocity","wind-profile"]}},{"s":"uhi-mitigation-assessment-with-envi-met","t":"Urban heat mitigation simulations for four European cities","u":"Gridded ENVI-met outputs and visualisations for four European cities assessing urban heat mitigation measures. Useful for microclimate and thermal-comfort studies.","z":"13 GB","p":"","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"UHI Mitigation Assessment with ENVI-met Petrou, Anastasios Fokaides, Paris Frederick University ENVI-met","k":2.018,"d":20513,"g":{"resource_type":["simulation-output"],"method":["RANS"],"geometry":["realistic-neighbourhood"],"topic":["urban-heat-thermal-comfort"],"quantities":["temperature"]}},{"s":"u-surf-wrf-modifications-to-u-surf-and-the-wrf-model-for-compatibility","t":"U-Surf-WRF: code to use U-Surf urban surface data in WRF","u":"Code modifications making the U-Surf dataset compatible with WRF.","z":"13 GB","p":"","y":2025,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"U-Surf-WRF: Modifications to U-Surf and the WRF model for compatibility Jiang, Timothy Cheng, Yifan Mukherjee, Rohit Chakraborty, TC Zhao, Lei Martilli, Alberto Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas Pacific Northwest National Laboratory University of Illinois Urbana-Champaign WRF","k":2.004,"d":20193,"g":{"resource_type":["software"],"method":["mesoscale"],"geometry":["city-scale"],"topic":["parameterisation"]}},{"s":"knowing-palm-4u-input-and-output-data-naples","t":"Neighbourhood microclimate simulations of Granollers and Naples (KNOWING project)","u":"PALM-4U input and output data for the Granollers domain from the KNOWING project. Useful as an urban microclimate LES case.","z":"2 parts","p":"Granollers, Spain","y":2026,"l":"CC BY 4.0","f":"cfd","c":2,"b":0,"np":0,"x":"Goler, Robert GeoSphere Austria PALM-4U","k":2.001,"d":20474,"g":{"resource_type":["simulation-output","case-setup"],"method":["LES"],"geometry":["realistic-neighbourhood"],"topic":["urban-heat-thermal-comfort"],"quantities":["temperature","velocity"]}},{"s":"dataset-for-multi-scale-analysis-of-flow-over-heterogeneous-urban-envi","t":"LES of flow over heterogeneous urban surfaces for multi-scale analysis","u":"Raw simulation data and MATLAB scripts for a multi-scale analysis of flow over heterogeneous urban environments. Useful for urban boundary-layer and roughness research.","z":"12 GB","p":"","y":2025,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Dataset for \"Multi-scale analysis of flow over heterogeneous urban environments\" van Reeuwijk, Maarten Huang, Jingzi Imperial College London uDALES","k":1.971,"d":20343,"g":{"resource_type":["simulation-output","software"],"method":["LES"],"geometry":["idealised-array"],"topic":["urban-boundary-layer","parameterisation"],"quantities":["velocity","turbulence-statistics","drag"]}},{"s":"wrf-simulation-dataset-for-assessing-the-effects-of-urban-building-hei","t":"Building-height change experiments over the Yangtze River Delta (July 2020)","u":"Hourly 1 km WRF output over the Yangtze River Delta cities for a building-height change experiment, July 2020. Useful for urban morphology effects on weather.","z":"12 GB","p":"Yangtze River Delta, China","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"WRF Simulation Dataset for Assessing the Effects of Urban Building-Height Changes in the Yangtze River Delta (7–12 July 2020) Xin, Jialing Zhang, Yuanjie WRF","k":1.969,"d":20675,"g":{"resource_type":["simulation-output"],"method":["mesoscale"],"geometry":["city-scale"],"topic":["urban-heat-thermal-comfort","urban-boundary-layer"],"quantities":["temperature","velocity"]}},{"s":"fluidurban-v1-0-enhancing-urban-ventilation-and-pollutant-dispersion-m","t":"FluidUrban: adaptive-mesh modelling of urban ventilation and pollutant dispersion","u":"FluidUrban v1.0 geometry and mesh generator with model outputs and plotting scripts for urban ventilation and pollutant dispersion.","z":"3.0 GB","p":"","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"FluidUrban v1.0: Enhancing Urban Ventilation and Pollutant Dispersion Modelling with Three-dimensional Dynamic Adaptive Meshes Optimization Wu, Xiaofei Chen, Siyang Li, Jinxi Zhang, Yu Wang, Zifa Gan, Pu Zheng, Jie Fang, Fangxin Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, London, SW7 2AZ, United Kingdom Climate Change and Resource Utilization in Complex Terrain Regions Key Laboratory of Sichuan Province, Chengdu Plain Urban Meteorology and Environment Observation and Research Station of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610225, China State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China FluidUrban","k":1.96,"d":20694,"g":{"resource_type":["software","geometry","simulation-output"],"method":["RANS"],"geometry":["city-scale"],"topic":["ventilation","dispersion-air-quality"],"quantities":["velocity","concentration"]}},{"s":"bristol-street-level-automatic-weather-stations","t":"Street-level weather station network, Bristol","u":"Street-level automatic weather station network data for Bristol, UK. Raw 2024 part 2.","z":"6 parts","p":"Bristol, UK","y":2026,"l":"Restricted","f":"field","c":6,"b":0,"pa":["https://doi.org/10.5194/gi-13-393-2024","Modular approach to near-time data management for multi-city atmospheric environmental observation campaigns"],"np":1,"x":"Christen, Andreas Barlow, Janet F Grimmond, Sue Escobar-Ruiz, Veronica Matthews, James Plein, Marvin Zeeman, Matthias Ludwig, Svenja Gunner, Sam van Reeuwijk, Maarten University of Bristol University of Freiburg University of Reading Imperial College London Modular approach to near-time data management for multi-city atmospheric environmental observation campaigns","k":1.95,"d":20529,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["city-scale"],"topic":["urban-heat-thermal-comfort"],"quantities":["temperature","humidity"],"instrument":["weather-station"]}},{"s":"atmospheric-dispersion-simulations-over-the-paris-opera-district-using","t":"Atmospheric dispersion simulations over the Paris Opera district","u":"Numerical dispersion simulations over the Paris Opera district using the PMSS model.","z":"10 GB","p":"Paris Opera district, France","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Atmospheric dispersion simulations over the Paris Opera district using PMSS software Duchenne, Christophe Jorge Do Marco, Romain Armand, Patrick Commissariat à l'Énergie Atomique et aux Énergies Alternatives PMSS","k":1.92,"d":20626,"g":{"resource_type":["simulation-output"],"method":["RANS"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality"],"quantities":["concentration","velocity"]}},{"s":"wrf-files-fazeli-et-al-2026","t":"High-resolution heat-extreme simulations of Sydney","u":"WRF geo_em, wrfinput and wrfout files for high-resolution heat extreme runs over Sydney, with urban morphology.","z":"2.6 GB","p":"Sydney, Australia","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"WRF Files - Fazeli et al 2026 Fazeli, Maryam Nazarian, Negin Evans, Jason Lipson, Mathew GABEIRAS PENAS, Jacobo Sharma, Shankar Martilli, Alberto Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas UNSW Sydney Université Grenoble Alpes WRF","k":1.917,"d":20524,"g":{"resource_type":["simulation-output","case-setup"],"method":["mesoscale"],"geometry":["city-scale"],"topic":["urban-heat-thermal-comfort"],"quantities":["temperature"]}},{"s":"dataset-for-multi-scale-flow-analysis-for-scale-aware-urban-canopy-mod","t":"Multi-scale flow analysis for scale-aware urban canopy models","u":"Large (10 GB) dataset accompanying a study of multi-scale flow for scale-aware urban-canopy models; description is missing. Likely simulation output.","z":"10 GB","p":"","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"pa":["https://doi.org/10.1002/qj.70305","Multi‐scale flow analysis for scale‐aware urban canopy models"],"np":1,"x":"Dataset for \"Multi-scale flow analysis for scale-aware urban-canopy models\" Huang, Jingzi van Reeuwijk, Maarten Imperial College London Multi‐scale flow analysis for scale‐aware urban canopy models","k":1.911,"d":20749,"g":{"resource_type":["simulation-output"],"method":["LES"],"topic":["parameterisation","urban-boundary-layer"],"quantities":["velocity","turbulence-statistics"]}},{"s":"distributed-training-of-u-net-architecture-for-data-driven-aerodynamic","t":"U-Net prediction of urban flow and pollutant dispersion: example CFD and code","u":"Example CFD simulation and code for distributed training of a U-Net predicting urban aerodynamic flow and pollutant dispersion. Useful for ML surrogates of urban flow.","z":"10 GB","p":"","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Distributed Training of U-Net Architecture for Data-Driven Aerodynamic Flow and Pollutant Dispersion Prediction in Urban Environments - DATASET Alejandro González Castillo Catalán, María Isabel chiva, sergio Iserte, Sergio Barcelona Supercomputing Center Universitat Jaume I","k":1.91,"d":20663,"g":{"resource_type":["simulation-output","software"],"method":["ML-surrogate","RANS"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality"],"quantities":["velocity","concentration"]}},{"s":"coupled-velocity-temperature-inflow-dataset-for-non-isothermal-large-e","t":"Coupled velocity–temperature turbulent inflow for non-isothermal LES","u":"Time-resolved non-isothermal turbulent inflow boundary data from LES of a stratified boundary layer, for OpenFOAM. Useful as inlet condition for building flow LES.","z":"2.5 GB","p":"","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Coupled Velocity–Temperature Inflow Dataset for Non-isothermal Large-Eddy Simulation Li, Yezhan Okaze, Tsubasa Institute of Science Tokyo Kyushu University OpenFOAM","k":1.909,"d":20731,"g":{"resource_type":["simulation-output","case-setup"],"method":["LES"],"geometry":["rough-wall"],"topic":["urban-boundary-layer"],"quantities":["velocity","temperature","turbulence-statistics"]}},{"s":"street-canyon-heterogeneity-of-environmental-and-meteorological-variab","t":"Street-canyon heterogeneity of environmental and meteorological variables","u":"OpenFOAM-v8 set-ups for wind and concentration fields in several street-canyon scenarios.","z":"2 parts","p":"","y":2024,"l":"CC BY 4.0","f":"field","c":2,"b":0,"np":0,"x":"Chen, Yuanhao Liu, Zhenxin Hu, Jianlin Mi, Junrui Huang, Ao Liao, Hong Wang, Xin Liu, Shuhua OpenFOAM","k":1.899,"d":19802,"g":{"resource_type":["case-setup","measurements"],"method":["RANS","field"],"geometry":["street-canyon"],"topic":["dispersion-air-quality"],"quantities":["velocity","concentration","temperature"]}},{"s":"a-conservative-immersed-boundary-method-for-the-multi-physics-urban-la","t":"uDALES: conservative immersed boundary method for multi-physics urban LES","u":"Dataset accompanying the GMD article on a conservative immersed boundary method for multi-physics urban LES. Useful for model validation and cases.","z":"10 GB","p":"","y":2024,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"A conservative immersed boundary method for the multi-physics urban large-eddy simulation model uDALES v2.0 Owens, Sam Oliver Majumdar, Dipanjan Wilson, Christopher Edward Bartholomew, Paul van Reeuwijk, Maarten Imperial College London University of Edinburgh uDALES","k":1.89,"d":19897,"g":{"resource_type":["software","simulation-output"],"method":["LES"],"geometry":["idealised-array","realistic-neighbourhood"],"topic":["urban-boundary-layer"],"quantities":["velocity","temperature"]}},{"s":"analysis-of-a-complex-role-of-trees-in-street-canyon-using-les-model-e","t":"LES of the role of trees in a street canyon (Terronska experiment)","u":"Companion dataset for LES analysis of the role of trees in a street canyon.","z":"9.4 GB","p":"","y":2024,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Analysis of a complex role of trees in street canyon using LES model (experiment: Terronska) Geletič, Jan Bureš, Martin Řezníček, Hynek Czech Academy of Sciences, Institute of Computer Science PALM","k":1.859,"d":20059,"g":{"resource_type":["simulation-output"],"method":["LES"],"geometry":["street-canyon"],"topic":["dispersion-air-quality","urban-heat-thermal-comfort"],"quantities":["velocity","temperature","concentration"]}},{"s":"landmap-lidar-terrain-surface-models-and-building-heights-for-uk-citie","t":"Landmap LiDAR terrain/surface models and building heights for UK cities","u":"1 m LiDAR digital surface and terrain models for main urban conurbations of England and Scotland. Usable as urban geometry including buildings.","z":"3 parts","p":"","y":2014,"l":"","f":"tool","c":3,"b":0,"np":0,"x":"","k":1.844,"d":16304,"g":{"resource_type":["geometry"],"geometry":["city-scale"]}},{"s":"data-for-the-parameterization-of-radiative-transfer-processes-in-urban","t":"Radiative transfer in urban microclimate LES, Ernst-Reuter-Platz, Berlin","u":"PALM LES output for an urban crossing and a Berlin square (Ernst-Reuter-Platz) with different radiative transfer parameterisations. Useful for urban microclimate model comparison.","z":"9.5 GB","p":"Berlin, Germany","y":2020,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Data for the parameterization of radiative transfer processes in urban climate models Salim, Mohamed Hefny Humboldt Universität zu Berlin PALM","k":1.825,"d":18450,"g":{"resource_type":["simulation-output"],"method":["LES"],"geometry":["street-canyon","realistic-neighbourhood"],"topic":["urban-heat-thermal-comfort","parameterisation"],"quantities":["radiation","temperature","velocity"]}},{"s":"udales-1-0-a-large-eddy-simulation-model-for-urban-environments","t":"uDALES: model description and validation cases for urban LES","u":"Data accompanying the uDALES 1.0 GMD paper, an LES model for urban environments. Useful as validation and case setups.","z":"2.2 GB","p":"","y":2021,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"uDALES 1.0: a large-eddy-simulation model for urban environments Suter, Ivo Empa uDALES","k":1.823,"d":18925,"g":{"resource_type":["software","simulation-output","case-setup"],"method":["LES"],"geometry":["idealised-array","realistic-neighbourhood"],"topic":["urban-boundary-layer","urban-heat-thermal-comfort"],"quantities":["velocity","turbulence-statistics","temperature"]}},{"s":"input-and-output-files-for-wrf-urban-simulations-for-the-metropolitan","t":"Mesoscale urban simulations of the Tel Aviv metropolitan area","u":"Input and output files for four WRF urban configurations over the Tel-Aviv coastal metropolitan area.","z":"2.2 GB","p":"Tel Aviv, Israel","y":2021,"l":"CC0","f":"cfd","c":0,"b":0,"np":0,"x":"Input and output files for WRF urban simulations for the metropolitan area of Tel-Aviv Avisar, David Pelta, Ran Alexandra, Chudnovsky Rostkier-Edelstein, Dorita Israel Institute for Biological Research Tel Aviv University WRF","k":1.817,"d":18646,"g":{"resource_type":["simulation-output","case-setup"],"method":["mesoscale"],"geometry":["city-scale"],"topic":["parameterisation"],"quantities":["temperature"]}},{"s":"palm-traffic-2-0-implementation-of-the-traffic-induced-heat-and-veloci","t":"PALM-Traffic: traffic-induced heat and momentum in street-scale LES (Prague)","u":"PALM model source, configuration and input data for implementing traffic-induced heat and velocity in street-scale LES (Legerova street case). 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Useful as a mesoscale case setup.","z":"459 MB","p":"Hong Kong-Shenzhen, China","y":2020,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"The technical note for the programming technical preparation package in high-resolution urban climate simulation: Hong Kong-Shenzhen area urban climate simulation using WRF/Noah LSM/SLUCM model LI, Zhiqiang Department of Real Estate and Construction | HKU Faculty of Architecture, The university of Hong Kong WRF","k":1.466,"d":18498,"g":{"resource_type":["case-setup","software"],"method":["mesoscale"],"geometry":["city-scale"],"topic":["urban-boundary-layer"]}},{"s":"high-fidelity-simulation-of-the-effects-of-street-trees-green-roofs-an","t":"Street trees, green roofs and green walls and thermal exposure, Prague-Dejvice","u":"PALM simulation results on the effects of street trees, green roofs and green walls on urban microclimate. Useful for urban greening studies.","z":"3.3 GB","p":"","y":2021,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"pa":["https://doi.org/10.1016/j.buildenv.2022.109484","High-fidelity simulation of the effects of street trees, green roofs and green walls on the distribution of thermal exposure in Prague-Dejvice"],"np":1,"x":"High-fidelity simulation of the effects of street trees, green roofs and green walls on the distribution of thermal exposure in Prague-Dejvice Geletič, Jan Resler, Jaroslav Krč, Pavel Institute of Computer Science of the Czech Academy of Sciences PALM High-fidelity simulation of the effects of street trees, green roofs and green walls on the distribution of thermal exposure in Prague-Dejvice","k":1.45,"d":18939,"g":{"resource_type":["simulation-output"],"method":["LES"],"geometry":["street-canyon","realistic-neighbourhood"],"topic":["urban-heat-thermal-comfort"],"quantities":["temperature","velocity"]}},{"s":"scenarios-simulations-of-prague-turban-d05","t":"Air quality and thermal comfort scenario simulations, Prague (TURBAN)","u":"Simulation results for the Holesovicky domain in Prague covering air quality and thermal comfort scenarios. 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Useful for setting up urban LES cases.","z":"188 MB","p":"","y":2025,"l":"AGPL-3.0","f":"cfd","c":0,"b":0,"np":0,"x":"SanDyPALM Code Repository Vogel, Julian Stadler, Sebastian Chockalingam, Ganesh Climateflux GmbH Fraunhofer Institute for Building Physics PALM","k":1.427,"d":20125,"g":{"resource_type":["software","geometry"],"method":["LES"],"geometry":["realistic-neighbourhood"],"topic":["urban-heat-thermal-comfort"]}},{"s":"southwark-tall-buildings-wind-tunnel-flow-and-dispersion","t":"Southwark tall buildings: wind-tunnel flow and dispersion","u":"Part I of wind-tunnel flow measurements in a 1:200 model of part of Southwark, London, examining tall buildings and height variability. Useful for validating urban flow models.","z":"2 parts","p":"London Borough of Southwark, UK","y":2020,"l":"","f":"lab","c":2,"b":0,"pa":["https://doi.org/10.1007/s10546-019-00450-7","Wake Characteristics of Tall Buildings in a Realistic Urban Canopy"],"np":1,"x":"Hertwig, Denise Gough, Hannah L. Grimmond, Sue Barlow, Janet F. Robins, Alan G. University of Reading University of Surrey Wake Characteristics of Tall Buildings in a Realistic Urban Canopy","k":1.418,"d":18487,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["realistic-neighbourhood"],"topic":["urban-boundary-layer"],"quantities":["velocity","turbulence-statistics"]}},{"s":"ultra-high-resolution-wrf-input-data-including-local-climate-zones-for","t":"Urban morphology and local climate zones for modelling Greek cities (HEAT-ALARM)","u":"HEAT-ALARM urban morphology and environment database for highly resolved urban WRF simulations, including LCZ.","z":"162 MB","p":"","y":2024,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Ultra-high-resolution WRF input data, including Local Climate Zones, for highly-resolved urban-scale modeling in Greece Agathangelidis, Ilias Giannaros, Christos Cartalis, Constantinos Kotroni, Vassiliki Lagouvardos, Kostas National Observatory of Athens National and Kapodistrian University of Athens WRF","k":1.407,"d":19789,"g":{"resource_type":["geometry","case-setup"],"method":["mesoscale"],"geometry":["city-scale"],"topic":["parameterisation"]}},{"s":"tweet-ie-twin-tests-vegetation-and-scale-effects-in-a-street-canyon","t":"TWEET-IE twin tests: vegetation and scale effects in a street canyon","u":"PIV and LDV wind tunnel measurements of flow past a vegetated street canyon from TWEET-IE twin test 1. Useful for validating vegetation in urban flow models.","z":"2 parts","p":"","y":2025,"l":"CC BY 4.0","f":"lab","c":2,"b":0,"np":0,"x":"Pappa, Vasiliki Gromke, Christof Bouris, Demetri Pallas, Nikolaos-Petros Dsouza, Brian Karlsruhe Institute of Technology National Technical University of Athens Delft University of Technology","k":1.395,"d":20278,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["street-canyon"],"topic":["urban-boundary-layer"],"quantities":["velocity","turbulence-statistics"]}},{"s":"urbclim-hirex-simulation-outputs-of-meter-scale-heat-stress-in-ghent","t":"Metre-scale heat stress simulations of Ghent (June 2023 heatwave)","u":"Hourly UrbClim-HiREx simulation output for Ghent during the June 2023 heat wave: air temperature, humidity, wind speed at 100 m and meter-scale heat-stress indices. Useful for urban heat stress studies and model validation.","z":"2.4 GB","p":"Ghent, Belgium","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"pa":["https://doi.org/10.1371/journal.pclm.0000973","Modeling outdoor heat stress at meter-scale resolution: Validation of the UrbClim-HiREx framework"],"np":1,"x":"UrbClim-HiREx simulation outputs of meter-scale heat stress in Ghent Hellebosch, Ian Souverijns, Niels Top, Sara Lauwaet, Dirk Caluwaerts, Steven De Ridder, Koen Flemish Institute for Technological Research Ghent University UrbClim HiREx Modeling outdoor heat stress at meter-scale resolution: Validation of the UrbClim-HiREx framework","k":1.392,"d":20622,"g":{"resource_type":["simulation-output"],"method":["mesoscale"],"geometry":["city-scale"],"topic":["urban-heat-thermal-comfort"],"quantities":["temperature","humidity","velocity"]}},{"s":"integrated-geospatial-database-of-land-cover-building-morphology-local","t":"Land cover, building morphology and local climate zones for Viçosa, Brazil","u":"Integrated geospatial database of land cover, building morphology and local climate zones for Vicosa, Brazil. 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Usable as urban geometry.","z":"145 MB","p":"Basel, Switzerland","y":2022,"l":"CC BY 4.0","f":"tool","c":0,"b":0,"np":0,"x":"diFUME Digital Surface Model V0.2 Stagakis, Stavros Feigenwinter, Christian University of Basel, Environmental Sciences, Switzerland","k":1.381,"d":19277,"g":{"resource_type":["geometry"],"geometry":["city-scale"]}},{"s":"training-and-testing-data-associated-code-for-ucnn-a-deep-learning-bas","t":"UCNN: deep-learning urban canopy model for complex building morphologies","u":"Training and testing data and code for UCNN, a deep-learning urban canopy model for complex building morphologies.","z":"2.4 GB","p":"","y":2025,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Training and Testing Data, Associated Code for UCNN(a deep learning-based urban canopy model designed for complex building morphologies) meng UCNN","k":1.378,"d":20332,"g":{"resource_type":["software","simulation-output"],"method":["ML-surrogate"],"geometry":["realistic-neighbourhood"],"topic":["parameterisation"]}},{"s":"cbzhao2021-3d-city-model-generator-research-v1-0-0-initial-research-so","t":"3D City Model Generator: CityGML city models from heterogeneous data","u":"Research software generating CityGML-compatible 3D city models from heterogeneous data, with web interface and demo outputs. 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CFD of natural ventilation among the units of double loaded apartment floors with four plan shapes Nguyen, Hoanh Electric Power University","k":1.362,"d":20739,"g":{"resource_type":["case-setup","simulation-output"],"method":["RANS"],"geometry":["single-building"],"topic":["ventilation"],"quantities":["velocity","ventilation-rate"]}},{"s":"wind-catcher-shaft-designs-with-10-floors","t":"Windcatcher shaft designs for natural ventilation CFD (10-storey building)","u":"CAD geometry and simulation-ready models for four windcatcher shaft designs for natural ventilation CFD. Useful as case setups for building ventilation studies.","z":"","p":"","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Wind Catcher Shaft Designs (with 10 floors) Patel, Devan","k":1.362,"d":20728,"g":{"resource_type":["geometry","case-setup"],"method":["RANS"],"geometry":["single-building"],"topic":["ventilation"]}},{"s":"building-resolved-les-wind-fields-for-beijing-shanghai-guangzhou-shenz","t":"Building-resolved LES wind fields for Beijing, Shanghai, Guangzhou, Shenzhen and Hong Kong (U3DWind)","u":"720 time-mean lattice-Boltzmann LES cases at 10 m resolution, 144 per city, spanning 16 wind directions, 3 reference speeds and 3 seasonal profiles, with 3D mean velocity and TKE plus building, terrain and footprint geometry. Very large (about 25 TB).","z":"","p":"Beijing, Shanghai, Guangzhou, Shenzhen, Hong Kong, China","y":2026,"l":"CC BY-NC-SA 4.0","f":"cfd","c":0,"b":0,"pa":["https://doi.org/10.1016/j.ast.2026.114092","U3DWind: A low altitude wind field dataset and benchmark for urban air mobility"],"np":1,"x":"Shixiong Zhou Huanxia Wei Chao Xia Yingying Xing Changmin Jiang Hai Yang Shuai Jia HKUST (Guangzhou) HKUST CULBM U3DWind: A low altitude wind field dataset and benchmark for urban air mobility","k":1.362,"d":20454,"g":{"resource_type":["simulation-output","geometry"],"method":["LES"],"geometry":["city-scale"],"topic":["wind-loads-pedestrian-wind","urban-boundary-layer"],"quantities":["velocity","turbulence-statistics","wind-profile"]}},{"s":"code-and-data-for-spatially-concentrated-heat-emissions-from-data-cent","t":"Data-centre heat emissions and local urban warming in California","u":"Notebooks, WRF-SLUCM configuration files and processed outputs assessing local warming from data-center heat emissions in California. Useful as a mesoscale urban simulation case setup.","z":"","p":"California, USA","y":2026,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Code and Data for \"Spatially concentrated heat emissions from data centers lead to localized urban warming and population exposure\" Hao Hu University of Southern California WRF SLUCM","k":1.362,"d":20763,"g":{"resource_type":["simulation-output","case-setup","software"],"method":["mesoscale"],"geometry":["city-scale"],"topic":["urban-heat-thermal-comfort"],"quantities":["temperature"]}},{"s":"hitemp-high-density-temperature-network-birmingham","t":"HiTemp: high-density temperature network, Birmingham","u":"High-density urban air temperature (and meteorological) network across the Birmingham conurbation, for urban heat island studies.","z":"3 parts","p":"Birmingham, UK","y":2015,"l":"","f":"field","c":3,"b":0,"np":0,"x":"","k":1.354,"d":16455,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["city-scale"],"topic":["urban-heat-thermal-comfort","urban-boundary-layer"],"quantities":["temperature","velocity","humidity","pressure"],"instrument":["weather-station"]}},{"s":"input-data-for-performing-a-model-evaluation-of-the-sectional-aerosol","t":"Input data for evaluating sectional aerosol modelling in urban LES","u":"Input data for PALM with SALSA aerosol module evaluation, including building heights, leaf area density and aerosol emissions. Useful for urban aerosol LES setups.","z":"179 MB","p":"","y":2018,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Input data for performing a model evaluation of the sectional aerosol module SALSA embedded to PALM model system 6.0 Kurppa, Mona Liisa Vilhelmiina Institute for Atmospheric and Earth System Research (INAR) / Physics, Faculty of Science, University of Helsinki, Finland PALM SALSA","k":1.354,"d":17836,"g":{"resource_type":["case-setup","geometry"],"method":["LES"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality"],"quantities":["concentration"]}},{"s":"local-climate-zones-and-urban-morphology-dataset-to-support-numerical","t":"Local climate zones and urban morphology for five Greek cities","u":"100 m Local Climate Zone maps and morphology parameters for five Greek cities for numerical modelling.","z":"","p":"Greece","y":2025,"l":"CC BY 4.0","f":"tool","c":0,"b":0,"np":0,"x":"Local Climate Zones and urban morphology dataset to support numerical modelling in Greece Agathangelidis, Ilias Giannaros, Christos Cartalis, Constantinos Kotroni, Vassiliki Lagouvardos, Konstantinos National Observatory of Athens National and Kapodistrian University of Athens WRF","k":1.352,"d":20090,"g":{"resource_type":["geometry"],"geometry":["city-scale"],"topic":["parameterisation"]}},{"s":"building-footprints-with-height-function-and-age-for-3-667-chinese-cit","t":"Building footprints with height, function and age for 3,667 Chinese cities (CMAB)","u":"About 31 million vector building footprints with height, structure, function, age and other attributes: footprint-level geometry for LES and CFD domains anywhere in mainland China.","z":"","p":"China","y":2025,"l":"CC BY 4.0","f":"tool","c":0,"b":0,"pa":["https://doi.org/10.1038/s41597-025-04730-5","CMAB: A Multi-Attribute Building Dataset of China"],"np":1,"x":"Yecheng Zhang Huimin Zhao Ying Long Tsinghua University CMAB: A Multi-Attribute Building Dataset of China","k":1.352,"d":20089,"g":{"resource_type":["geometry"],"geometry":["city-scale"]}},{"s":"glamour-global-building-morphology-dataset-for-urban-climate-modelling","t":"GLAMOUR: Global building morphology dataset for urban climate modelling (2020)","u":"Global 100 m gridded building height and morphology for 13189 urban areas in 2020, usable for urban climate modelling and geometry.","z":"","p":"","y":2025,"l":"","f":"tool","c":0,"b":0,"np":0,"x":"","k":1.352,"d":20398,"g":{"resource_type":["geometry"],"geometry":["city-scale"],"topic":["urban-heat-thermal-comfort"]}},{"s":"territory-wide-3d-building-infrastructure-and-terrain-models-of-hong-k","t":"Territory-wide 3D building, infrastructure and terrain models of Hong Kong","u":"LOD1 building and podium blocks for all of Hong Kong (plus textured landmarks), roads, bridges and a terrain model, updated every two months: realistic geometry for the dense high-rise city.","z":"","p":"Hong Kong, China","y":2025,"l":"HKSAR open data terms (free use with attribution)","f":"tool","c":0,"b":0,"np":0,"x":"Lands Department, HKSAR Government Lands Department","k":1.352,"d":20089,"g":{"resource_type":["geometry"],"geometry":["city-scale"]}},{"s":"additional-information-for-qjrms-qj-23-0159-submission","t":"Energy spectra and kinetic energy time series from LES of a realistic urban area","u":"Energy spectra, kinetic energy time series and PALM input files for an urban flow modelling study.","z":"23 MB","p":"","y":2023,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Additional information for QJRMS (QJ-23-0159) submission Lu, Jiachen UNSW Sydney PALM","k":1.342,"d":19560,"g":{"resource_type":["simulation-output","case-setup"],"method":["LES"],"geometry":["realistic-neighbourhood"],"topic":["urban-boundary-layer"],"quantities":["turbulence-statistics"]}},{"s":"parameterization-of-grass-grid-pavers-for-urban-microclimate-modelling","t":"Grass grid paver parameterisation for urban heat mitigation modelling","u":"ENVI-met parameterisations, inputs and postprocessing scripts for assessing grass grid pavers' heat mitigation. Useful for reproducing urban microclimate scenarios.","z":"","p":"","y":2024,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"Parameterization of grass grid pavers for urban microclimate modelling to simulate the heat mitigation potential of unsealing measures in cities Eingrüber, Nils Domm, Alina Sophie Korres, Wolfgang Schneider, Karl University of Cologne ENVI-met","k":1.342,"d":19825,"g":{"resource_type":["case-setup","software"],"method":["RANS"],"geometry":["realistic-neighbourhood"],"topic":["urban-heat-thermal-comfort","parameterisation"],"quantities":["temperature"]}},{"s":"enschede-urban-eddy-covariance-fluxes-and-les-comparison","t":"Enschede urban eddy-covariance fluxes and LES comparison","u":"Surface-atmosphere energy exchange data from eddy-covariance and scintillometer measurements in Enschede. Useful for urban flux model evaluation.","z":"2 parts","p":"Enschede, Netherlands","y":2026,"l":"CC BY 4.0","f":"field","c":2,"b":0,"np":0,"x":"Joshi, Heet Gadde, Srinidhi Timmermans, Wim Steeneveld, Gert-Jan University of Twente Utrecht University Wageningen University & Research","k":1.333,"d":20563,"g":{"resource_type":["measurements","simulation-output"],"method":["field","LES"],"geometry":["realistic-neighbourhood"],"topic":["urban-boundary-layer"],"quantities":["heat-flux","temperature"],"instrument":["eddy-covariance","scintillometer"]}},{"s":"harmonised-building-footprints-and-heights-for-europe-eubucco","t":"Harmonised building footprints and heights for Europe (EUBUCCO)","u":"Open database of over 300 million individual buildings across the EU, UK, Norway and Switzerland, with height, type and age, for city-scale geometry and morphology parameters.","z":"","p":"Europe","y":2023,"l":"ODbL 1.0 (mostly; some regional CC inputs)","f":"tool","c":0,"b":0,"pa":["https://doi.org/10.1038/s41597-023-02040-2","EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings"],"np":1,"x":"Nikola Milojevic-Dupont Florian Nachtigall Felix Creutzig Potsdam Institute for Climate Impact Research TU Berlin EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings","k":1.332,"d":19358,"g":{"resource_type":["geometry"],"geometry":["city-scale"],"topic":["parameterisation"]}},{"s":"open-3d-city-models-of-over-300-japanese-cities-plateau","t":"Open 3D city models of over 300 Japanese cities (PLATEAU)","u":"Japan's national open CityGML city models: LOD1 buildings with heights everywhere and LOD2 in many core districts (e.g. central Tokyo), in CityGML, 3D Tiles, OBJ and other formats; ready-made realistic geometry for CFD of Japanese cities.","z":"","p":"Japan (e.g. Tokyo), Japan","y":2023,"l":"Public Data License 1.0 (compatible with CC BY 4.0)","f":"tool","c":0,"b":0,"pa":["https://doi.org/10.5194/isprs-archives-XLVIII-4-W7-2023-201-2023","Role of 3D city model data as open digital commons: a case study of openness in Japan's digital twin \"Project PLATEAU\""],"np":1,"x":"Ministry of Land, Infrastructure, Transport and Tourism (MLIT) Role of 3D city model data as open digital commons: a case study of openness in Japan's digital twin \"Project PLATEAU\" Project PLATEAU","k":1.332,"d":19358,"g":{"resource_type":["geometry"],"geometry":["city-scale","realistic-neighbourhood"]}},{"s":"osm2palm","t":"OSM2PALM: PALM building geometry from OpenStreetMap","u":"Python code that rasterises OpenStreetMap building footprints into the geometry input required by PALM. Useful for setting up realistic urban LES domains.","z":"2 MB","p":"","y":2022,"l":"CC BY 4.0","f":"tool","c":0,"b":0,"np":0,"x":"OSM2PALM Jiachen Lu Negin Nazarian Melissa A. 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Useful for preparing realistic city-neighbourhood LES cases.","z":"","p":"","y":2022,"l":"MIT","f":"tool","c":0,"b":0,"np":0,"x":"OSM2LES - A python-based tool to prepare realistic urban geometry for LES simulation from OpenStreetMap Jiachen Lu Negin Nazarian Melissa A. Hart ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney School of Built Environment, University of New South Wales, Sydney PALM","k":1.322,"d":19132,"g":{"resource_type":["software","geometry"],"geometry":["realistic-neighbourhood"]}},{"s":"3d-building-models-of-the-netherlands-lod1-to-lod2-2-3dbag","t":"3D building models of the Netherlands, LoD1 to LoD2.2 (3DBAG)","u":"About 10 million buildings for the whole of the Netherlands at several levels of detail, in CityJSON, GeoPackage and OBJ: realistic geometry for Dutch urban CFD.","z":"","p":"Netherlands","y":2022,"l":"CC BY 4.0","f":"tool","c":0,"b":0,"pa":["https://doi.org/10.14358/PERS.21-00032R2","Automated 3D Reconstruction of LoD2 and LoD1 Models for All 10 Million Buildings of the Netherlands"],"np":1,"x":"TU Delft 3D geoinformation group 3DGI Automated 3D Reconstruction of LoD2 and LoD1 Models for All 10 Million Buildings of the Netherlands","k":1.322,"d":18993,"g":{"resource_type":["geometry"],"geometry":["city-scale","realistic-neighbourhood"]}},{"s":"cpsimulator-examples-dataset","t":"Example geometries and wind pressure coefficients from CpSimulator","u":"Input geometries and wind pressure coefficient results from CpSimulator, a cloud-based platform for predicting Cp on buildings. Useful for natural ventilation and wind-load studies.","z":"13 MB","p":"","y":2021,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"CpSimulator examples dataset Facundo Bre Juan M. Gimenez CIMEC","k":1.318,"d":18982,"g":{"resource_type":["geometry","simulation-output","software"],"method":["RANS"],"geometry":["single-building"],"topic":["wind-loads-pedestrian-wind","ventilation"],"quantities":["pressure"]}},{"s":"a-new-perspective-on-evaluating-high-resolution-urban-climate-simulati","t":"High-resolution urban climate simulations with urban canopy parameters","u":"Data for evaluating high-resolution urban climate simulations with urban canopy parameters. Useful for mesoscale urban model set-up and evaluation.","z":"7 MB","p":"","y":2020,"l":"CC BY 4.0","f":"cfd","c":0,"b":0,"np":0,"x":"A new perspective on evaluating high-resolution urban climate simulation with urban canopy parameters YU MIAO WRF","k":1.305,"d":18516,"g":{"resource_type":["simulation-output","geometry"],"method":["mesoscale"],"geometry":["city-scale"],"topic":["parameterisation"],"quantities":["temperature"]}},{"s":"bss116-citygenerator-urban-landscape-generator-v1-0","t":"Urban Landscape Generator (citygenerator)","u":"Tool creating randomised urban landscapes with fractal-like street networks from building density, green fraction and frontal area. Useful for generating CFD/LES geometries.","z":"","p":"","y":2020,"l":"Open (other)","f":"tool","c":0,"b":0,"pa":["https://doi.org/10.1007/s10546-020-00567-0","Drag Distribution in Idealized Heterogeneous Urban Environments"],"np":1,"x":"bss116/citygenerator: Urban Landscape Generator v1.0 Sützl, Birgit van Reeuwijk, Maarten Imperial College London Drag Distribution in Idealized Heterogeneous Urban Environments","k":1.302,"d":18362,"g":{"resource_type":["software","geometry"],"geometry":["idealised-array","realistic-neighbourhood"]}},{"s":"climate-relevant-urban-canopy-parameter-measurements-in-kampala-uganda","t":"Urban canopy parameter field measurements in Kampala, Uganda","u":"Raw urban canopy parameter measurements from fieldwork in Kampala (2018). Can be turned into detailed input fields for urban climate models.","z":"","p":"Kampala, Uganda","y":2020,"l":"CC BY 4.0","f":"field","c":0,"b":0,"pa":["https://doi.org/10.1007/s00704-021-03733-7","Can local fieldwork help to represent intra-urban variability of canopy parameters relevant for tropical African climate studies?"],"np":1,"x":"Climate-relevant urban canopy parameter measurements in Kampala, Uganda. Van de Walle, Jonas Brousse, Oscar Arnalsteen, Lien Byarugaba, Disan Ddumba, Daniel S. 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Butler IASS Potsdam OpenFOAM urbanChemFoam","k":1.302,"d":18618,"g":{"resource_type":["software","case-setup"],"method":["LES"],"geometry":["street-canyon"],"topic":["dispersion-air-quality"],"quantities":["concentration"]}},{"s":"10-m-building-height-map-of-china-for-2020-cnbh-10m","t":"10 m building-height map of China for 2020 (CNBH-10m)","u":"National 10 m raster of building height for 2020, estimated from radar, optical and night-light imagery (RMSE about 6 m); a source of urban morphology for parameterisations and mesoscale models across China.","z":"","p":"China","y":2020,"l":"CC BY 4.0","f":"tool","c":0,"b":0,"pa":["https://doi.org/10.1016/j.rse.2023.113578","A first Chinese building height estimate at 10 m resolution (CNBH-10 m) using multi-source earth observations and machine learning"],"np":1,"x":"Wan-ben Wu Fudan University A first Chinese building height estimate at 10 m resolution (CNBH-10 m) using multi-source earth observations and machine learning","k":1.302,"d":18262,"g":{"resource_type":["geometry"],"geometry":["city-scale"],"topic":["parameterisation"]}},{"s":"global-3d-building-footprints-with-heights-3d-globfp","t":"Global 3D building footprints with heights (3D-GloBFP)","u":"Building footprints with estimated heights worldwide for 2020, as regional shapefile tiles; strongest in China, weaker in Japan and Korea.","z":"","p":"Global","y":2020,"l":"CC BY 4.0","f":"tool","c":0,"b":0,"pa":["https://doi.org/10.5194/essd-16-5357-2024","3D-GloBFP: the first global three-dimensional building footprint dataset"],"np":1,"x":"Sun Yat-sen University 3D-GloBFP: the first global three-dimensional building footprint dataset","k":1.302,"d":18262,"g":{"resource_type":["geometry"],"geometry":["city-scale"]}},{"s":"dataset-urban-thermal-hotspots-through-integration-of-geoparticipation","t":"Urban thermal hotspots in a Czech city: measurements, simulations and survey data","u":"Calibration measurements, PALM simulations and survey data for urban thermal hotspots in a Czech city. 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Ventilation was measured with pressure and tracer methods alongside internal and external flow, temperature and pressure; useful for cross-ventilation studies.","z":"","p":"","y":2018,"l":"","f":"field","c":0,"b":0,"pa":["https://doi.org/10.1016/j.jweia.2018.02.010","Effects of variability of local winds on cross ventilation for a simplified building within a full-scale asymmetric array: overview of the Silsoe field campaign."],"np":1,"x":"Refresh Cube Campaign (RCC) University of Reading Effects of variability of local winds on cross ventilation for a simplified building within a full-scale asymmetric array: overview of the Silsoe field campaign. H. Gough","k":0.782,"d":17532,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["single-building","idealised-array"],"topic":["ventilation"],"quantities":["velocity","temperature","humidity","concentration","ventilation-rate","pressure"],"instrument":["tracer"]}},{"s":"turbulent-flows-over-multscale-surfaces","t":"Wind-tunnel PIV of boundary layers over multiscale urban roughness","u":"2D PIV wind-tunnel data of turbulent boundary layers over twelve urban roughnesses with different frontal and plan solidities. Useful for studying turbulence statistics and parameterising urban roughness.","z":"","p":"","y":2018,"l":"","f":"lab","c":0,"b":0,"pa":["https://doi.org/10.1007/s10546-017-0317-3","Turbulent Flow Over Large Roughness Elements: Effect of Frontal and Plan Solidity on Turbulence Statistics and Structure"],"np":1,"x":"Turbulent flows over multscale surfaces University of Southampton Turbulent Flow Over Large Roughness Elements: Effect of Frontal and Plan Solidity on Turbulence Statistics and Structure Ganapathisubramani B.","k":0.782,"d":17532,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["rough-wall","idealised-array"],"topic":["urban-boundary-layer","parameterisation"],"quantities":["velocity","turbulence-statistics"]}},{"s":"diplos-les-and-dns-of-flow-and-dispersion-around-a-tall-building-in-an","t":"LES and DNS of flow and dispersion around a tall building in an array (DIPLOS)","u":"LES and DNS datasets of velocity and concentration around a tall building in an aligned array of rectangular buildings, from the DIPLOS project. Useful for studying scalar fluxes and validating dispersion models.","z":"","p":"","y":2017,"l":"","f":"cfd","c":0,"b":0,"pa":["https://doi.org/10.1007/s10546-017-0308-4","Scalar fluxes near a tall building in an aligned array of rectangular buildings"],"np":1,"x":"DIPLOS: LES and DNS of flow and dispersion around a tall building in an array University of Reading Scalar fluxes near a tall building in an aligned array of rectangular buildings Omduth Coceal","k":0.772,"d":17167,"g":{"resource_type":["simulation-output"],"method":["LES","DNS"],"geometry":["idealised-array"],"topic":["dispersion-air-quality"],"quantities":["velocity","turbulence-statistics","concentration"]}},{"s":"multi-level-sonic-anemometer-turbulence-from-the-tianjin-255-m-tower-s","t":"Multi-level sonic-anemometer turbulence from the Tianjin 255 m tower (summer 2017)","u":"10 Hz sonic data at 40, 80, 120, 160 and 200 m on an urban meteorological tower, July–August 2017, with fluctuations, spectra and statistics; suited to momentum and heat transport in the convective urban boundary layer.","z":"","p":"Tianjin, China","y":2017,"l":"","f":"field","c":0,"b":0,"pa":["https://doi.org/10.1029/2022JD037997","Dissimilarity of Turbulent Transport of Momentum and Heat Under Unstable Conditions Linked to Convective Circulations"],"np":1,"x":"Lu Zhang Hongsheng Zhang Peking University Tianjin Meteorological Administration Dissimilarity of Turbulent Transport of Momentum and Heat Under Unstable Conditions Linked to Convective Circulations","k":0.772,"d":17167,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["city-scale"],"topic":["urban-boundary-layer"],"quantities":["velocity","temperature","turbulence-statistics","heat-flux"],"instrument":["tall-tower","sonic","eddy-covariance"]}},{"s":"minute-resolution-weather-station-network-across-singapore","t":"Minute-resolution weather-station network across Singapore","u":"National Environment Agency stations across Singapore with minute-level air temperature, humidity, wind and rainfall from 2016, available through an API.","z":"","p":"Singapore","y":2016,"l":"Singapore Open Data Licence","f":"field","c":0,"b":0,"np":0,"x":"National Environment Agency, Singapore","k":0.762,"d":16801,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["city-scale"],"topic":["urban-heat-thermal-comfort"],"quantities":["temperature","humidity","velocity"],"instrument":["weather-station"]}},{"s":"diplos-wind-tunnel-experiments-to-produce-high-quality-datasets-of-dis","t":"Wind-tunnel flow and dispersion over an idealised street network (DIPLOS)","u":"Wind-tunnel measurements of flow and dispersion over an idealised urban street system, from the DIPLOS project. Useful for validating LES and DNS of urban dispersion.","z":"","p":"","y":2016,"l":"","f":"lab","c":0,"b":0,"pa":["https://doi.org/10.1007/s10546-016-0200-7","Measurements and Computations of Flow in an Urban Street System"],"np":1,"x":"DIPLOS: Wind tunnel experiments to produce high quality datasets of dispersion processes University of Reading Measurements and Computations of Flow in an Urban Street System Omduth Coceal","k":0.762,"d":16801,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["idealised-array"],"topic":["dispersion-air-quality"],"quantities":["velocity","turbulence-statistics","concentration"]}},{"s":"clearflo-london-boundary-layer-and-air-quality-campaign-2011-12","t":"ClearfLo: London boundary-layer and air-quality campaign 2011–12","u":"Meteorology and air quality field campaign in London in 2011-12, with multiple sites and intensive observations during the 2012 Olympics. Useful for urban boundary-layer and air quality studies; individual datasets are available via the paper authors.","z":"","p":"","y":2015,"l":"","f":"field","c":0,"b":0,"pa":["https://doi.org/10.1175/BAMS-D-12-00245.1","Meteorology, Air Quality, and Health in London: The ClearfLo Project"],"np":1,"x":"University of Reading Meteorology, Air Quality, and Health in London: The ClearfLo Project Stephen Belcher","k":0.752,"d":16436,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["realistic-neighbourhood","city-scale"],"topic":["dispersion-air-quality","urban-boundary-layer"],"quantities":["velocity","concentration","boundary-layer-height","temperature","humidity","radiation"]}},{"s":"actual-wind-driven-air-infiltration-into-a-building-field-and-physical","t":"Wind-driven air infiltration into a London building: field and physical model (ACTUAL)","u":"Field and physical-model measurements of wind-driven air infiltration into a building near the DAPPLE site in London. Useful for studying how the urban environment affects building ventilation.","z":"","p":"","y":2015,"l":"","f":"field","c":0,"b":0,"pa":["https://rdg.ent.sirsidynix.net.uk/client/en_GB/library/search/detailnonmodal/ent:$002f$002fSD_ILS$002f0$002fSD_ILS:1562862/ada?qu=urban&qf=UR_FORMAT%09Format%09THESIS%09Thesis&rw=12&lm=EXCL_LR2&rt=false%7C%7C%7CTITLE%7C%7C%7CTitle&isd=true","The effect of the urban environment on wind driven infiltration of buildings"],"np":1,"x":"ACTUAL: wind-driven air infiltration into a building (field and physical model) University of Reading The effect of the urban environment on wind driven infiltration of buildings Janet Barlow","k":0.752,"d":16436,"g":{"resource_type":["measurements"],"method":["field","wind-tunnel"],"geometry":["realistic-neighbourhood"],"topic":["ventilation"],"quantities":["velocity","ventilation-rate","concentration"]}},{"s":"actual-advanced-climate-technology-urban-atmospheric-laboratory-field","t":"Urban atmospheric field experiments in London (ACTUAL)","u":"Urban atmospheric observations in London, including meteorological measurements on the BT Tower and Doppler lidar boundary-layer wind profiles. Useful for urban wind profiles, roughness and boundary-layer studies.","z":"","p":"","y":2013,"l":"","f":"field","c":0,"b":0,"pa":["https://doi.org/10.1016/j.jweia.2013.07.019","Observations of wind speed profiles over Greater London, UK, using a Doppler lidar"],"np":1,"x":"ACTUAL: Advanced Climate Technology: Urban Atmospheric Laboratory - field experiments in London University of Reading Observations of wind speed profiles over Greater London, UK, using a Doppler lidar Janet Barlow","k":0.732,"d":15706,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["realistic-neighbourhood","city-scale"],"topic":["urban-boundary-layer","parameterisation"],"quantities":["velocity","wind-profile","concentration","boundary-layer-height","temperature","humidity","radiation"],"instrument":["tall-tower","lidar"]}},{"s":"repartee-london-air-pollution-field-campaigns-2006-07","t":"REPARTEE: London air pollution field campaigns 2006–07","u":"Air pollution field campaigns in London in 2006/7 with measurements at ground level and at 160 m on the BT Tower. Useful for studying pollutant concentrations and transport above and within a megacity.","z":"","p":"","y":2012,"l":"","f":"field","c":0,"b":0,"pa":["https://doi.org/10.5194/acp-12-3065-2012","Atmospheric chemistry and physics in the atmosphere of a developed megacity (London): an overview of the REPARTEE experiment and its conclusions"],"np":1,"x":"University of Birmingham Atmospheric chemistry and physics in the atmosphere of a developed megacity (London): an overview of the REPARTEE experiment and its conclusions Roy Harrison","k":0.722,"d":15340,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality","urban-boundary-layer"],"quantities":["velocity","concentration"],"instrument":["tall-tower"]}},{"s":"repartee-repartee-urban-boundary-layer-structure-using-doppler-lidar","t":"Doppler lidar urban boundary-layer structure over London (REPARTEE)","u":"Doppler lidar observations of the urban boundary layer over London during REPARTEE-II, including wind and boundary-layer depth. Useful for studying urban boundary-layer dynamics.","z":"","p":"","y":2011,"l":"","f":"field","c":0,"b":0,"pa":["https://doi.org/10.5194/acp-11-2111-2011","Boundary layer dynamics over London, UK, as observed using Doppler lidar during REPARTEE-II"],"np":1,"x":"REPARTEE: REPARTEE urban boundary layer structure using doppler lidar University of Reading Boundary layer dynamics over London, UK, as observed using Doppler lidar during REPARTEE-II Janet Barlow","k":0.712,"d":14975,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["realistic-neighbourhood","city-scale"],"topic":["urban-boundary-layer"],"quantities":["velocity","boundary-layer-height"],"instrument":["lidar"]}},{"s":"dapple-epsrc-dapple-field-tracer-experiments","t":"Field tracer experiments in central London (DAPPLE, 2004)","u":"Tracer release experiments from the 2004 DAPPLE field campaign in central London. Useful for validating urban dispersion models against measured concentrations.","z":"","p":"","y":2010,"l":"","f":"field","c":0,"b":0,"pa":["https://doi.org/10.1016/j.atmosenv.2010.05.007","Urban tracer dispersion experiments during the second DAPPLE field campaign in London 2004"],"np":1,"x":"DAPPLE-EPSRC: DAPPLE field tracer experiments University of Bristol Urban tracer dispersion experiments during the second DAPPLE field campaign in London 2004 Dudley Shallcross","k":0.702,"d":14610,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality"],"quantities":["concentration"],"instrument":["tracer"]}},{"s":"dapple-epsrc-dapple-field-measurements-at-an-intersection","t":"Field measurements of flow at a London intersection (DAPPLE)","u":"Field measurements of flow and turbulence at the DAPPLE intersection in London, linked to a study of traffic-related pollutant concentrations near the junction. Useful for studying dispersion at urban intersections.","z":"","p":"","y":2009,"l":"","f":"field","c":0,"b":0,"pa":["https://doi.org/10.1016/j.atmosenv.2009.06.047","A field study of factors influencing the concentrations of a traffic-related pollutant in the vicinity of a complex urban junction"],"np":1,"x":"DAPPLE-EPSRC: DAPPLE field measurements at an intersection University of Leeds A field study of factors influencing the concentrations of a traffic-related pollutant in the vicinity of a complex urban junction Alison Tomlin","k":0.692,"d":14245,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["street-canyon"],"topic":["dispersion-air-quality"],"quantities":["velocity","turbulence-statistics"]}},{"s":"dapple-ho-intensive-tracer-experiments-and-flow-at-dapple-site","t":"Intensive tracer and flow experiments in central London (DAPPLE, 2007)","u":"Intensive tracer dispersion experiments with accompanying flow measurements at the DAPPLE site in central London (2007). Useful for testing urban dispersion and emergency-response models.","z":"","p":"","y":2009,"l":"","f":"field","c":0,"b":0,"pa":["https://doi.org/10.1175/2009BAMS2638.1","Dispersion Experiments in Central London: The 2007 DAPPLE project"],"np":1,"x":"DAPPLE-HO: Intensive tracer experiments and flow at DAPPLE site University of Surrey Dispersion Experiments in Central London: The 2007 DAPPLE project Alan Robins","k":0.692,"d":14245,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality"],"quantities":["velocity","concentration"],"instrument":["tracer"]}},{"s":"large-eddy-simulation-for-flow-and-dispersion-in-urban-streets","t":"LES of flow and multi-tracer dispersion in a realistic urban area","u":"Large-eddy simulation of street-scale flow and dispersion of multiple tracers in a realistic urban area, including wind-direction effects. Data available on request from the author.","z":"","p":"","y":2009,"l":"","f":"cfd","c":0,"b":0,"pa":["https://doi.org/10.1016/j.atmosenv.2009.01.016","Large-eddy simulation for flow and dispersion in urban streets"],"np":1,"x":"Large-eddy simulation for flow and dispersion in urban streets University of Southampton Large-eddy simulation for flow and dispersion in urban streets Zheng-Tong Xie","k":0.692,"d":14245,"g":{"resource_type":["simulation-output"],"method":["LES"],"geometry":["realistic-neighbourhood"],"topic":["dispersion-air-quality"],"quantities":["velocity","concentration"]}},{"s":"dapple-epsrc-dapple-meteorological-data-bt-roof-top","t":"Rooftop meteorological data from the BT Tower, London (DAPPLE)","u":"Rooftop meteorological measurements from the BT Tower during the DAPPLE campaign in London, used to reference street-level flows. Useful as reference wind and turbulence data for urban dispersion and emergency-response studies.","z":"","p":"","y":2009,"l":"","f":"field","c":0,"b":0,"pa":["https://doi.org/10.1016/j.atmosenv.2009.05.021","Referencing of street-level flows measured during the DAPPLE 2004 campaign"],"np":1,"x":"DAPPLE-EPSRC: DAPPLE meteorological data: BT, roof-top University of Reading Referencing of street-level flows measured during the DAPPLE 2004 campaign Janet Barlow","k":0.692,"d":14245,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["realistic-neighbourhood"],"topic":["urban-boundary-layer","dispersion-air-quality"],"quantities":["velocity","turbulence-statistics"],"instrument":["tall-tower"]}},{"s":"urban-cfd-modelling-wind-flow-turbulence-and-dispersion-in-urban-envir","t":"LES of flow, turbulence and dispersion over random urban-like arrays (URBAN CFD)","u":"Large-eddy simulation data of flow, turbulence and dispersion over random urban-like obstacle arrays. Useful for urban canopy turbulence statistics and dispersion model validation.","z":"","p":"","y":2008,"l":"","f":"cfd","c":0,"b":0,"pa":["https://doi.org/10.1007/s10546-008-9290-1","Large-Eddy Simulation of Flows over Random Urban-like Obstacles"],"np":1,"x":"URBAN CFD: Modelling wind flow, turbulence and dispersion in urban environments University of Southampton Large-Eddy Simulation of Flows over Random Urban-like Obstacles Zheng-Tong Xie","k":0.682,"d":13879,"g":{"resource_type":["simulation-output"],"method":["LES"],"geometry":["idealised-array"],"topic":["dispersion-air-quality","urban-boundary-layer"],"quantities":["velocity","turbulence-statistics","concentration"]}},{"s":"gaspol-atmospheric-perfluoromethylcyclohexane-pmch-measurements-birmin","t":"Perfluorocarbon tracer (PMCH) dispersion measurements, Birmingham (GASPOL)","u":"Perfluorocarbon tracer (PMCH) concentration measurements at sites around Birmingham characterising dispersion of pollutants within and from the city.","z":"","p":"Birmingham, UK","y":2007,"l":"","f":"field","c":0,"b":0,"np":0,"x":"GASPOL: Atmospheric perfluoromethylcyclohexane  (PMCH) measurements, Birmingham, UK","k":0.672,"d":13592,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["city-scale"],"topic":["dispersion-air-quality"],"quantities":["concentration"],"instrument":["tracer"]}},{"s":"wind-tunnel-pressure-time-series-on-low-rise-gable-roof-buildings-nist","t":"Wind-tunnel pressure time series on low-rise gable-roof buildings (NIST aerodynamic database)","u":"95 boundary-layer wind-tunnel datasets from the University of Western Ontario with pressure-tap time series on gable-roofed low-rise building models in several terrains, as self-documenting HDF files.","z":"","p":"","y":2006,"l":"","f":"lab","c":0,"b":0,"np":0,"x":"NIST University of Western Ontario Joseph Main (NIST)","k":0.662,"d":13149,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["single-building"],"topic":["wind-loads-pedestrian-wind"],"quantities":["pressure"]}},{"s":"dapple-epsrc-dapple-field-measurements-in-street-canyons","t":"Street-canyon wind measurements near a London intersection (DAPPLE)","u":"Field measurements of wind in street canyons near an urban intersection in London using ultrasonic anemometers. Useful for validating street-scale flow models.","z":"","p":"","y":2005,"l":"","f":"field","c":0,"b":0,"pa":["https://doi.org/10.1016/j.atmosenv.2005.04.015","Flow field measurements in the proximity of an urban intersection in London, UK"],"np":1,"x":"DAPPLE-EPSRC: DAPPLE field measurements in street canyons University of Reading Flow field measurements in the proximity of an urban intersection in London, UK Janet Barlow","k":0.652,"d":12784,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["street-canyon"],"topic":["dispersion-air-quality"],"quantities":["velocity","turbulence-statistics"],"instrument":["sonic"]}},{"s":"dapple-epsrc-dapple-traffic-and-air-pollution-data","t":"Traffic and air pollution data at a central London intersection (DAPPLE)","u":"Traffic and air pollution data from the DAPPLE site in central London. Useful for relating traffic emissions to pollutant concentrations at an urban intersection.","z":"","p":"","y":2004,"l":"","f":"field","c":0,"b":0,"pa":["https://doi.org/10.1016/j.scitotenv.2004.04.020","Introduction to the DAPPLE Air Pollution Project"],"np":1,"x":"DAPPLE-EPSRC: DAPPLE traffic and air pollution data University of Leeds Introduction to the DAPPLE Air Pollution Project James Tate","k":0.642,"d":12418,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["street-canyon"],"topic":["dispersion-air-quality"],"quantities":["concentration"]}},{"s":"dapple-epsrc-pollution-hotspots-at-marylebone-road-intersection-in-lon","t":"Wind measurements at the Marylebone Road pollution hotspot, London (DAPPLE)","u":"Field measurements of wind at the Marylebone Road intersection in London (DAPPLE site), collected to study pollution hotspots. Useful for understanding flow and dispersion at a real urban intersection.","z":"","p":"","y":2004,"l":"","f":"field","c":0,"b":0,"pa":["https://doi.org/10.1016/j.scitotenv.2004.04.020","Introduction to the DAPPLE Air Pollution Project"],"np":1,"x":"DAPPLE-EPSRC: Pollution hotspots at Marylebone Road intersection in London (DAPPLE site) University of Surrey Introduction to the DAPPLE Air Pollution Project Alan Robins","k":0.642,"d":12418,"g":{"resource_type":["measurements"],"method":["field"],"geometry":["street-canyon"],"topic":["dispersion-air-quality"],"quantities":["velocity"]}},{"s":"character-of-rough-wall-the-character-of-rough-wall-boundary-layers","t":"Wind-tunnel measurements of rough-wall boundary layers over urban-like roughness","u":"Wind-tunnel measurements of near-wall flow over urban-like roughness, including form drag and roughness sublayer behaviour. Useful for rough-wall boundary-layer studies and surface parameterisation.","z":"","p":"","y":2002,"l":"","f":"lab","c":0,"b":0,"pa":["https://doi.org/10.1023/A:1016060103448","Near Wall Flow over Urban-like Roughness"],"np":1,"x":"Character of rough-wall: The character of rough-wall boundary layers University of Southampton Near Wall Flow over Urban-like Roughness Ian Castro","k":0.622,"d":11688,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["rough-wall","idealised-array"],"topic":["urban-boundary-layer","parameterisation"],"quantities":["velocity","turbulence-statistics","drag"]}},{"s":"dyce-physical-model-flow-and-concentration-for-idealised-urban-geometr","t":"DYCE: physical-model flow and concentration for idealised urban geometries","u":"Physical-model data on flow and concentration for idealised urban geometries, from a project on rapid sensor deployment after outdoor chemical releases. Useful for dispersion and sensor-placement studies.","z":"","p":"","l":"","f":"lab","c":0,"b":0,"np":0,"x":"University of Surrey Alan Robins","k":0.602,"d":0,"g":{"resource_type":["measurements"],"method":["wind-tunnel"],"geometry":["idealised-array"],"topic":["dispersion-air-quality"],"quantities":["velocity","concentration"]}},{"s":"refresh-remodelling-building-design-sustainability-from-a-human-centre","t":"Human-centred building design: urban flow and ventilation studies (REFRESH)","u":"Project on human-centred building design combining field, CFD and physical-model studies of urban flow and ventilation. Data release is pending; contact the project for access.","z":"","p":"","l":"","f":"field","c":0,"b":0,"np":0,"x":"REFRESH: Remodelling Building Design Sustainability from a Human Centred Approach University of Reading Janet Barlow","k":0.602,"d":0,"g":{"resource_type":["measurements","simulation-output"],"method":["field","wind-tunnel"],"geometry":["realistic-neighbourhood","idealised-array"],"topic":["ventilation"],"quantities":["velocity","concentration","ventilation-rate"]}},{"s":"magic-models-for-natural-ventilation-in-green-inner-cities","t":"MAGIC: models for natural ventilation in green inner cities","u":"Project developing integrated models and decision-support tools for city design for natural ventilation and air quality, with CFD, field and physical-model work. Full data release is pending.","z":"","p":"","l":"","f":"field","c":0,"b":0,"np":0,"x":"University of Cambridge Paul Linden","k":0.602,"d":0,"g":{"resource_type":["measurements","simulation-output","software"],"method":["field","wind-tunnel"],"geometry":["realistic-neighbourhood","idealised-array"],"topic":["ventilation","dispersion-air-quality"],"quantities":["velocity","concentration","ventilation-rate"]}}]}