ORCID as entered in ROS

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2021, Urban Heat Stress and Mitigation Solutions An Engineering Perspective, Routledge, http://dx.doi.org/10.1201/9781003045922
,2023, 'Multiscale modeling techniques to document urban climate change', in Urban Climate Change and Heat Islands, Elsevier, pp. 123 - 164, http://dx.doi.org/10.1016/b978-0-12-818977-1.00004-1
,2021, 'Measuring and assessing thermal exposure', in Urban Heat Stress and Mitigation Solutions, Routledge, pp. 40 - 61, http://dx.doi.org/10.1201/9781003045922-3-4
,2021, 'Multi-scale Modeling Techniques to Document Urban Climate Change', in Urban Climate Change and Intra-Urban Climate Variability: Characterizations, Impacts, and Mitigation
,2021, 'Measuring and Assessing Thermal Exposure', in Costanzo V (ed.), Urban heat stress and mitigation solutions. An engineering perspective, Routledge, London, http://dx.doi.org/10.1201/9781003045922
,2025, 'Can your smartwatch measure ambient air temperature?', Environmental Research Letters, 20, http://dx.doi.org/10.1088/1748-9326/add6b5
,2025, 'Advancing urban air temperature mapping with machine learning', , http://dx.doi.org/10.5194/icuc12-243
,2025, 'Are high-resolution urban datasets necessary for accurate heat exposure modelling in cities?', , http://dx.doi.org/10.5194/icuc12-104
,2025, 'Are Urban Surface Temperatures Warming Faster Than Rural?', , http://dx.doi.org/10.5194/icuc12-924
,2025, 'Beyond UHI – how to build and use relevant indicators for heat mitigation studies', , http://dx.doi.org/10.5194/icuc12-839
,2025, 'Can your Smartwatch Measure Ambient Air Temperature? ', , http://dx.doi.org/10.5194/icuc12-244
,2025, 'Machine Learning Predicts Pedestrian Wind Flowfrom Urban Morphology and Prevailing WindDirection', , http://dx.doi.org/10.5194/icuc12-101
,2025, 'Machine-learning approach for predicting individual's thermal comfort and thermal sensation in outdoor environments', , http://dx.doi.org/10.5194/icuc12-246
,2025, 'Meet the AMS Board on Urban Environment', , http://dx.doi.org/10.5194/icuc12-814
,2025, 'Predicting lethal humidity and associated excess mortality using machine learning and high-resolution datasets ', , http://dx.doi.org/10.5194/icuc12-1109
,2025, 'Prioritizing urban heat adaptation infrastructure based on multiple outcomes: Comfort, health and energy', , http://dx.doi.org/10.5194/icuc12-328
,2025, 'Surface urban heat growth and population exposure across global cities', , http://dx.doi.org/10.5194/icuc12-242
,2025, 'Toward heat-resilient cities: Identifying global urban heat futures shaped by characteristics of extreme heat and urban form', , http://dx.doi.org/10.5194/icuc12-461
,2025, 'Prioritizing urban heat adaptation infrastructure based on multiple outcomes: Comfort, health, and energy', Proceedings of the National Academy of Sciences of the United States of America, 122, http://dx.doi.org/10.1073/pnas.2411144122
,2025, 'Machine learning predicts pedestrian wind flow from urban morphology and prevailing wind direction', Environmental Research Letters, 20, http://dx.doi.org/10.1088/1748-9326/adc148
,2024, 'Multi-city analysis of satellite surface temperature compared to crowdsourced air temperature', Environmental Research Letters, 19, http://dx.doi.org/10.1088/1748-9326/ad8be4
,2024, 'Assessing heat stress with a mesoscale model. An application of WRF-comfort to Madrid', , http://dx.doi.org/10.5194/ems2024-1136
,2024, 'Integration of urban climate research within the global climate change discourse', Plos Climate, 3, http://dx.doi.org/10.1371/journal.pclm.0000473
,2024, 'WRF-Comfort: simulating microscale variability in outdoor heat stress at the city scale with a mesoscale model', Geoscientific Model Development, 17, pp. 5023 - 5039, http://dx.doi.org/10.5194/gmd-17-5023-2024
,2024, 'A one-dimensional urban flow model with an eddy-diffusivity mass-flux (EDMF) scheme and refined turbulent transport (MLUCM v3.0)', Geoscientific Model Development, 17, pp. 2525 - 2545, http://dx.doi.org/10.5194/gmd-17-2525-2024
,2024, 'Representing the effects of building height variability on urban canopy flow', Quarterly Journal of the Royal Meteorological Society, 150, pp. 46 - 67, http://dx.doi.org/10.1002/qj.4584
,2024, 'Season’s mis-greetings: why timing matters in global academia', Nature, http://dx.doi.org/10.1038/d41586-024-03245-0
,2023, 'Novel Geometric Parameters for Assessing Flow Over Realistic Versus Idealized Urban Arrays', Journal of Advances in Modeling Earth Systems, 15, http://dx.doi.org/10.1029/2022MS003287
,2023, 'Land surface and air temperature dynamics: The role of urban form and seasonality', The Science of The Total Environment, 905, pp. 167306 - 167306, http://dx.doi.org/10.1016/j.scitotenv.2023.167306
,, 2023, 'Urban climate informatics', , http://dx.doi.org/10.3389/978-2-83251-592-1
2022, 'Background climate modulates the impact of land cover on urban surface temperature', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-19431-x
,2022, 'Transformational IoT sensing for air pollution and thermal exposures', Frontiers in Built Environment, 8, http://dx.doi.org/10.3389/fbuil.2022.971523
,2022, 'Isolating the impacts of urban form and fabric from geography on urban heat and human thermal comfort', Building and Environment, 224, http://dx.doi.org/10.1016/j.buildenv.2022.109502
,2022, 'Integrated Assessment of Urban Overheating Impacts on Human Life', Earth S Future, 10, http://dx.doi.org/10.1029/2022EF002682
,2022, 'A Transformation in City-Descriptive Input Data for Urban Climate Models', Frontiers in Environmental Science, 10, http://dx.doi.org/10.3389/fenvs.2022.866398
,2022, 'Urban Climate Informatics: An Emerging Research Field', Frontiers in Environmental Science, 10, http://dx.doi.org/10.3389/fenvs.2022.867434
,2022, 'Turbulence Characteristics Across a Range of Idealized Urban Canopy Geometries', Boundary Layer Meteorology, 182, pp. 275 - 307, http://dx.doi.org/10.1007/s10546-021-00658-6
,2021, 'Integrated Assessment of Urban Overheating Impacts on Human Life', Earth's Future, http://dx.doi.org/10.1002/essoar.10508877.2
,2021, 'Towards a Living Lab for Enhanced Thermal Comfort and Air Quality: Analyses of Standard Occupancy, Weather Extremes, and COVID-19 Pandemic', Frontiers in Environmental Science, 9, pp. 725974, http://dx.doi.org/10.3389/fenvs.2021.725974
,2021, 'Combining High-Resolution Land Use Data With Crowdsourced Air Temperature to Investigate Intra-Urban Microclimate', Frontiers in Environmental Science, 9, pp. 720323, http://dx.doi.org/10.3389/fenvs.2021.720323
,2021, 'Dynamic thermal pleasure in outdoor environments - temporal alliesthesia', Science of the Total Environment, 771, http://dx.doi.org/10.1016/j.scitotenv.2020.144910
,2021, 'Personal assessment of urban heat exposure: A systematic review', Environmental Research Letters, 16, http://dx.doi.org/10.1088/1748-9326/abd350
,2021, 'Project Coolbit: Can your watch predict heat stress and thermal comfort sensation?', Environmental Research Letters, 16, http://dx.doi.org/10.1088/1748-9326/abd130
,2021, 'The Vertical City Weather Generator (VCWG v1.3.2)', GEOSCIENTIFIC MODEL DEVELOPMENT, 14, pp. 961 - 984, http://dx.doi.org/10.5194/gmd-14-961-2021
,2021, 'The vertical city weather generator (vcwg v1.3.2)', Geoscientific Model Development, 14, pp. 961 - 984, http://dx.doi.org/10.5194/gmd-14-961-2021
,2021, 'The Vertical City Weather Generator (VCWG v1.3.2)', Geoscientific Model Development, 14, pp. 961 - 984, http://dx.doi.org/10.5194/gmd-14-961-2021
,2021, 'The Vertical City Weather Generator (VCWG v1.3.2)', Geoscientific Model Development, 14, pp. 961 - 984, http://dx.doi.org/10.5194/gmd-14-961-2021
,2021, 'The Vertical City Weather Generator (VCWG v1.0.0)', Geoscientific Model Development, http://dx.doi.org/10.5194/gmd-2019-176
,2020, 'From thermal sensation to thermal affect: A multi-dimensional semantic space to assess outdoor thermal comfort', Building and Environment, 182, pp. 107112, http://dx.doi.org/10.1016/j.buildenv.2020.107112
,2020, 'Summer average urban-rural surface temperature differences do not indicate the need for urban heat reduction', Open Science Framework (OSF), http://dx.doi.org/10.31219/osf.io/8gnbf
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