Zahn E, Bou-Zeid E. 2024. Observational partitioning of water and CO2 fluxes at National Ecological Observatory Network (NEON) sites: A 5-year dataset of soil and plant components for spatial and temporal analysis. Earth System Science Data. 16:5603 – 5624. doi:10.5194/essd-16-5603-2024. Referenced from doi.org: Observational partitioning of water and CO2 fluxes at National Ecological Observatory Network (NEON) sites: A 5-year dataset of soil and plant components for spatial and temporal analysis.

Katul G, Bragg A, Mammarella I, Liu H, Li Q, Bou-Zeid E. 2024. Gas Transfer Across Air-Water Interfaces in Inland Waters: From Micro-Eddies to Super-Statistics. Water Resources Research. 60. doi:10.1029/2023WR036615. Referenced from doi.org: Gas Transfer Across Air-Water Interfaces in Inland Waters: From Micro-Eddies to Super-Statistics.

Cureau RJ, Bou-Zeid E, Pigliautile I, Pisello AL. 2024. Crowdsourced data as a strategic approach to include the human dimension in outdoor environmental quality assessments. Science of the Total Environment. 953. doi:10.1016/j.scitotenv.2024.175925. Referenced from doi.org: Crowdsourced data as a strategic approach to include the human dimension in outdoor environmental quality assessments.

Banerjee T, Katul G, Zahn E, Dias N, Bou-Zeid E. 2024. A Single Compartment Relaxed Eddy Accumulation Method. Journal of Geophysical Research: Atmospheres. 129. doi:10.1029/2024JD040811. Referenced from doi.org: A Single Compartment Relaxed Eddy Accumulation Method.

Gerges F, Boufadel MC, Bou-Zeid E, Nassif H, Wang JTL. 2024. Downscaling daily wind speed with Bayesian deep learning for climate monitoring. International Journal of Data Science and Analytics. 17:411 – 424. doi:10.1007/s41060-023-00397-6. Referenced from www.scopus.com: Downscaling daily wind speed with Bayesian deep learning for climate monitoring.

Gerges F, Llaguno-Munitxa M, Zondlo MA, Boufadel MC, Bou-Zeid E. 2024. Weather and the City: Machine Learning for Predicting and Attributing Fine Scale Air Quality to Meteorological and Urban Determinants. Environmental Science & Technology. 58:6313–6325. doi:10.1021/acs.est.4c00783. Referenced from doi.org: Weather and the City: Machine Learning for Predicting and Attributing Fine Scale Air Quality to Meteorological and Urban Determinants.

Li D, Wang L, Liao W, Sun T, Katul G, Bou-Zeid E, Maronga B. 2024. Persistent urban heat. Science Advances. 10:eadj7398. doi:10.1126/sciadv.adj7398. Referenced from www.science.org: Persistent urban heat.

Huang X, Bou-Zeid E, Pigliautile I, Pisello A, Mandal J. 2024. Optimizing retro-reflective surfaces to untrap radiation and cool cities. Nature Cities. 1:1–11. doi:10.1038/s44284-024-00047-3. Referenced from doi.org: Optimizing retro-reflective surfaces to untrap radiation and cool cities.

Chiatti C, Fabiani C, Huang X, Bou-Zeid E, Pisello A. 2024. Exploring the potential of phosphorescence for mitigating urban overheating: First time representation in an Urban Canopy Model. Applied Energy. 362:122984. doi:10.1016/j.apenergy.2024.122984. Referenced from doi.org: Exploring the potential of phosphorescence for mitigating urban overheating: First time representation in an Urban Canopy Model.

Allouche M, Sevostianov V, Zahn E, Zondlo M, Dias N, Katul G, Fuentes J, Bou-Zeid E. 2024. Estimating scalar turbulent fluxes with slow response sensors in the stable atmospheric boundary layer. arXiv preprint arXiv:2401.11756. doi:10.48550/arXiv.2401.11756. Referenced from doi.org: Estimating scalar turbulent fluxes with slow response sensors in the stable atmospheric boundary layer.

Zahn E, Ghannam K, Chamecki M, Moene A, Kustas W, Good S, Bou-Zeid E. 2024. Numerical Investigation of Observational Flux Partitioning Methods for Water Vapor and Carbon Dioxide. Authorea Preprints. doi:10.22541/essoar.170716371.17109325/v1. Referenced from doi.org: Numerical Investigation of Observational Flux Partitioning Methods for Water Vapor and Carbon Dioxide.

Fogarty J, Bou-Zeid E, Bushuk M, Boisvert L. 2024. How Many Parameters are Needed to Represent Polar Sea Ice Surface Patterns and Heterogeneity?. EGUsphere. 2024:1–28. doi:10.5194/egusphere-2024-532. Referenced from doi.org: How Many Parameters are Needed to Represent Polar Sea Ice Surface Patterns and Heterogeneity?.

Zahn E, Bou-Zeid E. 2024. Setting Up a Large-Eddy Simulation to Focus on the Atmospheric Surface Layer. Boundary-Layer Meteorology. 190. doi:10.1007/s10546-023-00841-x. Referenced from doi.org: Setting Up a Large-Eddy Simulation to Focus on the Atmospheric Surface Layer.

Lipson M, Grimmond S, Best M, Abramowitz G, Coutts A, Tapper N, Baik J-J, Beyers M, Blunn L, Boussetta S, et al. 2024. Evaluation of 30 urban land surface models in the Urban-PLUMBER project: Phase 1 results. Quarterly Journal of the Royal Meteorological Society. 150:126–169. doi:10.1002/qj.4589. Referenced from doi.org: Evaluation of 30 urban land surface models in the Urban-PLUMBER project: Phase 1 results.

Gerges F, Boufadel M, Bou-Zeid E, Nassif H, Wang J. 2024. Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data. Knowledge and Information Systems. 66:613–633. doi:10.1007/s10115-023-01955-x. Referenced from doi.org: Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data.

Stein-Montalvo L, Ding L, Hultmark M, Adriaenssens S, Bou-Zeid E. 2024. Kirigami-inspired wind steering for natural ventilation. Journal of Wind Engineering and Industrial Aerodynamics. 246. doi:10.1016/j.jweia.2024.105667. Referenced from doi.org: Kirigami-inspired wind steering for natural ventilation.

Chiatti C, Fabiani C, Bou-Zeid E, Pisello A. 2024. Evaluating the potential of persistent luminescence in counteracting urban overheating. In: Journal of Physics: Conference Series. Vol. 2685. Institute of Physics. Referenced from doi.org: Evaluating the potential of persistent luminescence in counteracting urban overheating.

El-Samra R, Haddad A, Alameddine I, Bou-Zeid E, El-Fadel M. 2024. Downscaling Climatic Variables at a River Basin Scale: Statistical Validation and Ensemble Projection under Climate Change Scenarios. Climate. 12. doi:10.3390/cli12020027. Referenced from doi.org: Downscaling Climatic Variables at a River Basin Scale: Statistical Validation and Ensemble Projection under Climate Change Scenarios.

Huang WTK, Masselot P, Bou-Zeid E, Fatichi S, Paschalis A, Sun T, Gasparrini A, Manoli G. 2023. Economic valuation of temperature-related mortality attributed to urban heat islands in European cities. Nature Communications. 14. doi:10.1038/s41467-023-43135-z. Referenced from doi.org: Economic valuation of temperature-related mortality attributed to urban heat islands in European cities.

Huang W, Masselot P, Bou-Zeid E, Fatichi S, Paschalis A, Sun T, Gasparrini A, Manoli G. 2023. Economic valuation of temperature-related mortality attributed to urban heat islands in European cities. Nature Communications. 14. doi:10.1038/s41467-023-43135-z. Referenced from doi.org: Economic valuation of temperature-related mortality attributed to urban heat islands in European cities.

Gerges F, Boufadel M, Bou-Zeid E, Darekar A, Nassif H, Wang J. 2023. Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring. Vol. 13717 LNAI. pp. 565–580. Referenced from doi.org: Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring.

Gerges F, Boufadel M, Bou-Zeid E, Nassif H, Wang J. 2023. Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data. pp. 102–109. Referenced from doi.org: Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data.

Llaguno-Munitxa M, Bou-Zeid E. 2023. Role of vehicular emissions in urban air quality: The COVID-19 lockdown experiment. Transportation Research Part D: Transport and Environment. 115. doi:10.1016/j.trd.2022.103580. Referenced from doi.org: Role of vehicular emissions in urban air quality: The COVID-19 lockdown experiment.

Shapiro A, Anderson W, Mironov D, Bou-Zeid E, Grachev A. 2023. Celebrating the Career of Evgeni Fedorovich: Explorer of the Boundary-Layer Realm and Ambassador for the Community. Boundary-Layer Meteorology. 189:1–3. doi:10.1007/s10546-023-00828-8. Referenced from doi.org: Celebrating the Career of Evgeni Fedorovich: Explorer of the Boundary-Layer Realm and Ambassador for the Community.

Zahn E, Bou-Zeid E, Dias N. 2023. Relaxed Eddy Accumulation Outperforms Monin-Obukhov Flux Models Under Non-Ideal Conditions. Geophysical Research Letters. 50. doi:10.1029/2023GL103099. Referenced from doi.org: Relaxed Eddy Accumulation Outperforms Monin-Obukhov Flux Models Under Non-Ideal Conditions.

Gerges F, Assaad R, Nassif H, Bou-Zeid E, Boufadel M. 2023. A perspective on quantifying resilience: Combining community and infrastructure capitals. Science of the Total Environment. 859. doi:10.1016/j.scitotenv.2022.160187. Referenced from doi.org: A perspective on quantifying resilience: Combining community and infrastructure capitals.

Allouche M, Bou-Zeid E, Iipponen J. 2023. The influence of synoptic wind on land–sea breezes. Quarterly Journal of the Royal Meteorological Society. 149:3198–3219. doi:10.1002/qj.4552. Referenced from doi.org: The influence of synoptic wind on land–sea breezes.

Fogarty J, Bou-Zeid E. 2023. The Atmospheric Boundary Layer Above the Marginal Ice Zone: Scaling, Surface Fluxes, and Secondary Circulations. Boundary-Layer Meteorology. 189:53–76. doi:10.1007/s10546-023-00825-x. Referenced from doi.org: The Atmospheric Boundary Layer Above the Marginal Ice Zone: Scaling, Surface Fluxes, and Secondary Circulations.

Gerges F, Boufadel M, Bou-Zeid E, Nassif H, Wang J. 2023. Downscaling daily wind speed with Bayesian deep learning for climate monitoring. International Journal of Data Science and Analytics. doi:10.1007/s41060-023-00397-6. Referenced from doi.org: Downscaling daily wind speed with Bayesian deep learning for climate monitoring.

Gerges F, Boufadel M, Bou-Zeid E, Nassif H, Wang J. 2022. A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification. Vol. 13282 LNAI. pp. 55–66. Referenced from doi.org: A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification.

Kustas W, Nieto H, García-Tejera O, Bambach N, McElrone A, Gao F, Alfieri J, Hipps L, Prueger J, Torres-Rua A, et al. 2022. Impact of advection on two-source energy balance (TSEB) canopy transpiration parameterization for vineyards in the California Central Valley. Irrigation Science. 40:575–591. doi:10.1007/s00271-022-00778-y. Referenced from doi.org: Impact of advection on two-source energy balance (TSEB) canopy transpiration parameterization for vineyards in the California Central Valley.

Allouche M, Bou-Zeid E, Ansorge C, Katul G, Chamecki M, Acevedo O, Thanekar S, Fuentes J. 2022. The Detection, Genesis, and Modeling of Turbulence Intermittency in the Stable Atmospheric Surface Layer. Journal of the Atmospheric Sciences. 79:1171–1190. doi:10.1175/JAS-D-21-0053.1. Referenced from doi.org: The Detection, Genesis, and Modeling of Turbulence Intermittency in the Stable Atmospheric Surface Layer.

Gerges F, Boufadel M, Bou-Zeid E, Nassif H, Wang J. 2022. A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change. pp. 1–7. Referenced from doi.org: A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change.

Zahn E, Bou-Zeid E, Good S, Katul G, Thomas C, Ghannam K, Smith J, Chamecki M, Dias N, Fuentes J, et al. 2022. Direct partitioning of eddy-covariance water and carbon dioxide fluxes into ground and plant components. Agricultural and Forest Meteorology. 315. doi:10.1016/j.agrformet.2021.108790. Referenced from doi.org: Direct partitioning of eddy-covariance water and carbon dioxide fluxes into ground and plant components.

Burchard-Levine V, Nieto H, Kustas W, Gao F, Alfieri J, Prueger J, Hipps L, Bambach-Ortiz N, McElrone A, Castro S, et al. 2022. Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards. Irrigation Science. 40:593–608. doi:10.1007/s00271-022-00787-x. Referenced from doi.org: Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards.

Nieto H, Alsina M, Kustas W, García-Tejera O, Chen F, Bambach N, Gao F, Alfieri J, Hipps L, Prueger J, et al. 2022. Evaluating different metrics from the thermal-based two-source energy balance model for monitoring grapevine water stress. Irrigation Science. 40:697–713. doi:10.1007/s00271-022-00790-2. Referenced from doi.org: Evaluating different metrics from the thermal-based two-source energy balance model for monitoring grapevine water stress.

Geng X, Gerges F, Katul G, Bou-Zeid E, Nassif H, Boufadel M. 2021. Population agglomeration is a harbinger of the spatial complexity of COVID-19. Chemical Engineering Journal. 420. doi:10.1016/j.cej.2020.127702. Referenced from doi.org: Population agglomeration is a harbinger of the spatial complexity of COVID-19.

González J, Ramamurthy P, Bornstein R, Chen F, Bou-Zeid E, Ghandehari M, Luvall J, Mitra C, Niyogi D. 2021. Urban climate and resiliency: A synthesis report of state of the art and future research directions. Urban Climate. 38. doi:10.1016/j.uclim.2021.100858. Referenced from doi.org: Urban climate and resiliency: A synthesis report of state of the art and future research directions.

Ghannam K, Bou-Zeid E. 2021. Baroclinicity and directional shear explain departures from the logarithmic wind profile. Quarterly Journal of the Royal Meteorological Society. 147:443–464. doi:10.1002/qj.3927. Referenced from doi.org: Baroclinicity and directional shear explain departures from the logarithmic wind profile.

Choi B, Pozzi M, Bergés M, Bou-Zeid E. 2021. Developing time-variant filter for meso-scale surface temperature prediction. pp. 59–65.

Choi B, Bergés M, Bou-Zeid E, Pozzi M. 2021. Short-term probabilistic forecasting of meso-scale near-surface urban temperature fields. Environmental Modelling and Software. 145. doi:10.1016/j.envsoft.2021.105189. Referenced from doi.org: Short-term probabilistic forecasting of meso-scale near-surface urban temperature fields.

Zahn E, Welty C, Smith J, Kemp S, Baeck M-L, Bou-Zeid E. 2021. The Hydrological Urban Heat Island: Determinants of Acute and Chronic Heat Stress in Urban Streams. Journal of the American Water Resources Association. 57:941–955. doi:10.1111/1752-1688.12963. Referenced from doi.org: The Hydrological Urban Heat Island: Determinants of Acute and Chronic Heat Stress in Urban Streams.

Allouche M, Katul G, Fuentes J, Bou-Zeid E. 2021. Probability law of turbulent kinetic energy in the atmospheric surface layer. Physical Review Fluids. 6. doi:10.1103/PhysRevFluids.6.074601. Referenced from doi.org: Probability law of turbulent kinetic energy in the atmospheric surface layer.

Geng X, Katul G, Gerges F, Bou-Zeid E, Nassif H, Boufadel M. 2021. A kernel-modulated SIR model for Covid-19 contagious spread from county to continent. Proceedings of the National Academy of Sciences of the United States of America. 118. doi:10.1073/pnas.2023321118. Referenced from doi.org: A kernel-modulated SIR model for Covid-19 contagious spread from county to continent.

Talebpour M, Welty C, Bou-Zeid E. 2021. Development and testing of a fully-coupled subsurface-land surface-atmosphere hydrometeorological model: High-resolution application in urban terrains. Urban Climate. 40. doi:10.1016/j.uclim.2021.100985. Referenced from doi.org: Development and testing of a fully-coupled subsurface-land surface-atmosphere hydrometeorological model: High-resolution application in urban terrains.

Gideon R, Bou-Zeid E. 2021. Collocating offshore wind and wave generators to reduce power output variability: A Multi-site analysis. Renewable Energy. 163:1548–1559. doi:10.1016/j.renene.2020.09.047. Referenced from doi.org: Collocating offshore wind and wave generators to reduce power output variability: A Multi-site analysis.

Zhao L, Oleson K, Bou-Zeid E, Krayenhoff E, Bray A, Zhu Q, Zheng Z, Chen C, Oppenheimer M. 2021. Global multi-model projections of local urban climates. Nature Climate Change. 11:152–157. doi:10.1038/s41558-020-00958-8. Referenced from doi.org: Global multi-model projections of local urban climates.

Meili N, Manoli G, Burlando P, Bou-Zeid E, Chow W, Coutts A, Daly E, Nice K, Roth M, Tapper N, et al. 2020. An urban ecohydrological model to quantify the effect of vegetation on urban climate and hydrology (UT&C v1.0). Geoscientific Model Development. 13:335–362. doi:10.5194/gmd-13-335-2020. Referenced from doi.org: An urban ecohydrological model to quantify the effect of vegetation on urban climate and hydrology (UT&C v1.0).

Bou-Zeid E, Anderson W, Katul G, Mahrt L. 2020. The Persistent Challenge of Surface Heterogeneity in Boundary-Layer Meteorology: A Review. Boundary-Layer Meteorology. 177:227–245. doi:10.1007/s10546-020-00551-8. Referenced from doi.org: The Persistent Challenge of Surface Heterogeneity in Boundary-Layer Meteorology: A Review.

Omidvar H, Bou-Zeid E, Li Q, Mellado J-P, Klein P. 2020. Plume or bubble? Mixed-convection flow regimes and city-scale circulations. Journal of Fluid Mechanics. 897. doi:10.1017/jfm.2020.360. Referenced from doi.org: Plume or bubble? Mixed-convection flow regimes and city-scale circulations.