Publications

Bold: group members; underline: visiting students/scholars; * corresponding author

2024

  1. Li, D.*, Sun, T., Yang, J., Zhang, N., Vahmani, P., & Jones, A. (2024). Structural uncertainty in the sensitivity of urban temperatures to anthropogenic heat flux. Journal of Advances in Modeling Earth Systems, 16, e2024MS004431. https://doi.org/10.1029/2024MS004431. pdf, SI
  2. Liu, J., Y. Xing, D. Li, L. Yang, & G. Ni* (2024). Statistical and modeling analyses of urban impacts on winter precipitation. Urban Climate, 56, 102038. pdf
  3. Gao, Z. M., H. Liu*, D. Li, B. Yang, V. Walden, L. Li, and I. Bogoev, (2024): Uncertainties in temperature statistics and fluxes determined by sonic anemometer due to wind-induced vibrations of mounting arms, Atmos. Meas. Tech. pdf
  4. Li, D.*, L. Wang, W. Liao, T. Sun, G. Katul, E. Bou-Zeid, and B. Maronga, (2024): Persistent urban heat. Science Advances, 10, eadj7398. pdf

2023

  1. Schlaerth, H. L., S.J. Silva*, Y. Li, & D. Li (2023): Albedo as a competing warming effect of urban greening. Journal of Geophysical Research: Atmospheres, 128, e2023JD038764. https://doi.org/10.1029/2023JD038764. pdf
  2. Shao, X., N. Zhang*, D. Li, & J. Sun (2023): A non-dimensional index for characterizing the transition of turbulence regimes in stable atmospheric boundary layers. Geophysical Research Letters, 50, e2023GL105304. https://doi. org/10.1029/2023GL105304. pdf
  3. Wang, L.*, T. Sun, W. Zhou, M. Liu, and D. Li (2023): Deciphering the sensitivity of urban canopy air temperature to anthropogenic heat flux with a forcing-feedback framework. Environmental Research Letters. pdf
  4. Wang, B.*, J. A. Geddes, T. J. Adams, E. S. Lind, B. C. McDonald, J. He, C. Harkins, D. Li and G. G. Pfister (2023): Implications of Sea Breezes on Air Quality Monitoring in a Coastal Urban Environment: Evidence From High Resolution Modeling of NO2 and O3. Journal of Geophysical Research: Atmospheres, 128(11), e2022JD037860. pdf
  5. Akinlabi, E.*, M. Giometto, and D. Li (2023): Budgets of Second-Order Turbulence Moments over a Real Urban Canopy. Boundary-Layer Meteorol. pdf
  6. Elguernaoui, O.*, J. Reuder, D. Li, B. Maronga, M. B. Paskyabi, T. Wolf, and I. Esau, (2023): The Departure from Mixed-Layer Similarity During the Afternoon Decay of Turbulence in the Free-Convective Boundary Layer: Results from Large-Eddy Simulations. Boundary-Layer Meteorol, 188, 259-284. pdf
  7. Yan, H.*, N. Sun, H. Eldardiry, T. B. Thurber, P. M. Reed, K. Malek, R. Gupta, D. Kennedy, S. C. Swenson, L. Wang, D. Li, C. R. Vernon, C. D. Burleyson and J. S. Rice (2023): Characterizing uncertainty in Community Land Model version 5 hydrological applications in the United States. Scientific Data 10(1): 187. pdf
  8. Ayazpour, Z., S. Tao, D. Li, A. J. Scarino, R. E. Kuehn, and K. Sun* (2023): Estimates of the spatially complete, observational-data-driven planetary boundary layer height over the contiguous United States, Atmos. Meas. Tech., 16, 563–580, https://doi.org/10.5194/amt-16-563-2023. pdf
  9. Qin, Y.*, W. Liao, and D. Li (2023): Attributing the Urban–Rural Contrast of Heat Stress Simulated by a Global Model, Journal of Climate, https://doi.org/10.1175/JCLI-D-22-0436.1, pdf, SI

2022

  1. Lan, C.X., H. Liu*, G. Katul, D. Li, D. Finn, (2022). Turbulence structures in the very stable boundary layer under the influence of wind profile distortion. Journal of Geophysical Research: Atmospheres, 127, e2022JD036565. https://doi.org/10.1029/2022JD036565. pdf
  2. Akinlabi, E.*, B. Maronga, M. Giometto, and D. Li, (2022). Dispersive Fluxes Within and Over a Real Urban Canopy: A Large-Eddy Simulation Study. Boundary-Layer Meteorol pdf
  3. Maronga, B.*, M. Winkler, and D. Li, (2022). Can Areawide Building Retrofitting Affect the Urban Microclimate? An LES Study for Berlin, Germany. Journal of Applied Meteorology and Climatology 61, 7, 800-817. pdf
  4. Qian, Y.*, T. C. Chakraborty, J. Li, D. Li, C. He, C. Sarangi, F. Chen, X. Yang, and L. R. Leung (2022). Urbanization Impact on Regional Climate and Extreme Weather: Current Understanding, Uncertainties, and Future Research Directions, Adv. Atmos. Sci., doi: 10.1007/s00376-021-1371-9. pdf
  5. Vahmani, P.*, A. D. Jones, and D. Li (2022). Will anthropogenic warming increase evapotranspiration? Examining irrigation water demand implications of climate change in California. Earth’s Future, 10, e2021EF002221. https://doi. org/10.1029/2021EF002221. pdf
  6. Chen, W., Y. Zhou*, Y. Xie, G. Chen, K. J. Ding, and D. Li, (2022). Estimating spatial and temporal patterns of urban building anthropogenic heat using a bottom-up city building heat emission model. Resources, Conservation and Recycling, 177, 105996. pdf

2021

  1. Chen, C.*, D. Li, and T. F. Keenan, (2021): Enhanced surface urban heat islands due to divergent urban-rural greening trends. Environmental Research Letters, 16, 124071. pdf
  2. Zhou, W.*, L. Wang*, D. Li, and L. R. Leung, (2021): Spatial pattern of lake evaporation increases under global warming linked to regional hydroclimate change. Communications Earth & Environment, 2, 255. pdf
  3. Sun, K.*, L. Li, S. Jagini, and D. Li, (2021): A satellite-data-driven framework to rapidly quantify air-basin-scale NOx emissions and its application to the Po Valley during the COVID-19 pandemic. Atmos. Chem. Phys., 21, 13311-13332. pdf
  4. Smith, I. A.*, J. B. Winbourne, K. F. Tieskens, T. S. Jones, F. L. Bromley, D. Li, and L. R. Hutyra, (2021): A Satellite-Based Model for Estimating Latent Heat Flux From Urban Vegetation. Frontiers in Ecology and Evolution, 9. pdf
  5. Geddes, J. A.*, B. Wang, and D. Li, (2021): Ozone and Nitrogen Dioxide Pollution in a Coastal Urban Environment: The Role of Sea Breezes, and Implications of Their Representation for Remote Sensing of Local Air Quality. Journal of Geophysical Research: Atmospheres, 126, e2021JD035314. pdf, SI
  6. Maronga, B.*, D. Li, (2021). An Investigation of the Grid Sensitivity in Large-Eddy Simulations of the Stable Boundary Layer. Boundary-Layer Meteorol  https://doi.org/10.1007/s10546-021-00656-8 pdf
  7. Wang, L., M. Huang, and D. Li* (2021): Strong influence of convective heat transfer efficiency on the cooling benefits of green roof irrigation. Environ. Res. Lett., 16, 084062. pdf, SI
  8. Wang, L., D. Li* (2021) Urban heat islands during heat waves: a comparative study between Boston and Phoenix. J. Appl. Meteorol. Climatol., DOI: 10.1175/JAMC-D-20-0132.1. pdf
  9. Liao, W., D. Li, S. Malyshev, E. Shevliakova, H. Zhang, X. Liu*, (2021), Amplified Increases of Compound Hot Extremes over Urban Land in China, Geophys. Res. Lett.,48, e2020GL091252. https://doi.org/10.1029/2020GL091252. pdf, SI
  10. Cheng, Y.*, Q. Li, D. Li, and P. Gentine (2021), Logarithmic profile of temperature in sheared and unstably stratified atmospheric boundary layers, Physical Review Fluids, 6(3), 034606, doi: 10.1103/PhysRevFluids.6.034606. pdf
  11. Li, D*. (2021) The O’KEYPS Equation and 60 Years Beyond. Boundary-Layer Meteorol .179, 19–42. https://doi.org/10.1007/s10546-020-00585-y. pdf

2020

  1. Wang, L., D. Li*, N. Zhang, J. Sun, and W. Guo. (2020) Surface urban heat and cool islands and their drivers: an observational study in Nanjing, China. J. Appl. Meteorol. Climatol., 1-44. pdf
  2. Chen, C.*, D. Li*, Y. Li, S. Piao, X. Wang, M. Huang, P. Gentine, R. R. Nemani, R. B. Myneni (2020), Biophysical impacts of Earth greening largely controlled by aerodynamic resistance. Science Advances. 6, eabb1981. pdf, SI
  3. Chen, C.*, L. Wang, R.B. Myneni, and D. Li*. (2020). Attribution of land‐use/land‐cover change induced surface temperature anomaly: How accurate is the first‐order Taylor series expansion? Journal of Geophysical Research: Biogeosciences, 125, e2020JG005787. pdf, SI
  4. Zhang, Y., K. Sun*, Z. Gao, Z. Pan, M.A. Shook, and D. Li. (2020). Diurnal climatology of planetary boundary layer height over the contiguous United States derived from AMDAR and reanalysis data. Journal of Geophysical Research: Atmospheres, 125, e2020JD032803. pdf, SI
  5. Liao, W., X. Liu*, E. Burakowski, D. Wang, L. Wang, and D. Li (2020), Sensitivities and Responses of Land Surface Temperature to Deforestation-Induced Biophysical Changes in Two Global Earth System Models. J. Climate, 33, 8381–8399, https://doi.org/10.1175/JCLI-D-19-0725.1. pdf, SI
  6. Campbell, P. C.*, J. O. Bash, J. A. Herwehe, R. C. Gilliam, and D. Li (2020), Impacts of Tiled Land Cover Characterization on Global Meteorological Predictions Using the MPAS-A, Journal of Geophysical Research: Atmospheres, 125(15), e2019JD032093, doi: 10.1029/2019jd032093.
  7. Wang, L., M. Huang, and D. Li* (2020), Where Are White Roofs More Effective in Cooling the Surface?, Geophys. Res. Lett., 47(15), e2020GL087853, doi: 10.1029/2020gl087853. pdf, SI
  8. Winbourne, J. B.*, T. S. Jones, S. M. Garvey, J. L. Harrison, L. Wang, D. Li, P. H. Templer, and L. R. Hutyra (2020), Tree Transpiration and Urban Temperatures: Current Understanding, Implications, and Future Research Directions, Bioscience, 70(7), 576-588, doi: 10.1093/biosci/biaa055. pdf
  9. Yao, J., H. Liu*, J. Huang*, Z. Gao, G. Wang, D. Li, H. Yu, and X. Chen (2020), Accelerated dryland expansion regulates future variability in dryland gross primary production, Nature Communications, 11(1), 1665, doi: 10.1038/s41467-020-15515-2. pdf, SI
  10. Ji, P., X. Yuan*, and D. Li, (2020): Atmospheric Radiative Processes Accelerate Ground Surface Warming over the Southeastern Tibetan Plateau during 1998–2013. Journal of Climate, 33, 1881-1895. pdf, SI
  11. Moon, M.*, D. Li, W. Liao, A. J. Rigden, and M. A. Friedl, (2020): Modification of surface energy balance during springtime: The relative importance of biophysical and meteorological changes. Agric For Meteorol, 284, 107905. pdf
  12. Zhang, Y., L. Wang, J. A. Santanello, Z. Pan, Z. Gao, and D. Li*, (2020): Aircraft observed diurnal variations of the planetary boundary layer under heat waves. Atmos. Res., 235, 104801. pdf

2019

  1. Li, D*, L. Wang, (2019). Sensitivity of Surface Temperature to Land Use and Land Cover Change-Induced Biophysical Changes: The Scale Issue. Geophys. Res. Lett., pdf, SI
  2. Ao, X, L. Wang, X. Zhi, W. Gu, H. Yang, D. Li* (2019) Observed synergies between urban heat islands and heat waves and their controlling factors in Shanghai, China. J. Appl. Meteor. Climatol. 58, 1955–1972, https://doi.org/10.1175/JAMC-D-19-0073.1 pdf
  3. Zhou, Y. Z., D. Li*,  and X. Li* (2019) The Effects of Surface Heterogeneity Scale on the Flux Imbalance under Free Convection. Journal of Geophysical Research: Atmospheres,124. https://doi.org/10.1029/2018JD029550. pdf
  4. Lan, C.X., H. Liu*, G. Katul, D. Li, D. Finn, (2019). Large Eddies Regulate Turbulent Flux Gradients in Coupled Stable Boundary Layers. Geophys. Res. Lett., pdf, SI
  5. Wang, P., D. Li*, W.L. Liao, A. J. Rigden, W. Wang, (2019). Contrasting Evaporative Responses of Ecosystems to Heatwaves Traced to the Opposing Roles of Vapor Pressure Deficit and Surface Resistance Water Resour. Res., pdf, SI
  6. Wang, L, D. Li*, (2019). Modulation of the Urban Boundary Layer Heat Budget by a Heat Wave,  Q. J. Roy. Meteor. Soc.,  2019, 1–18, https://doi.org/10.1002/qj.3526, pdf
  7. Li, D*, W.L. Liao, A. J. Rigden, X. Liu, D. Wang, S. Malyshev, E. Shevliakova, (2019). Urban heat island: aerodynamics or imperviousness? Science Advances  pdf, SI
  8. Zhang, Y., D. Li*, Z. Lin, J. A. Santanello, & Z. Gao, (2019). Development and evaluation of a long‐term data record of planetary boundary layer profiles from aircraft meteorological reports. Journal of Geophysical Research: Atmospheres, 124.  pdf
  9. Katul, G.*, D. Li, C. Manes (2019) A primer on turbulence in hydrology and hydraulics: The power of dimensional analysis, Water. pdf
  10. Li, D* (2019) Turbulent Prandtl number in the atmospheric boundary layer – where are we now? Atmos. Res. pdf

2018

  1. Liao, W., X. Liu*, D. Li, M. Luo, D. Wang, S. Wang, et al. (2018). Stronger contributions of urbanization to heat wave trends in wet climates. Geophys. Res. Lett., 45. pdf
  2. Rigden A. J.*, D. Li, and G. D. Salvucci (2018), Dependence of thermal roughness length on friction velocity across land cover types: a synthesis analysis using AmeriFlux data, Agr. Forest. Meteorol. pdf
  3. Jacobs, S. J.*, A. J. E. Gallant, N.J. Tapper, and D. Li (2018). Use of Cool Roofs and Vegetation to Mitigate Urban Heat and Improve Human Thermal Stress in Melbourne, Australia. J. Appl. Meteor. Climatol. pdf
  4. Lan, C.X, H. Liu*, D. Li, G. G. Katul, and D. Finn (2018). Distinct Turbulence Structures in Stably Stratified Boundary Layers With Weak and Strong Surface Shear. Journal of Geophysical Research: Atmospheres. pdf
  5. Zhou, Y. Z., D. Li, H. P. Liu, and X. Li* (2018): Diurnal variations of the flux imbalance over homogeneous and heterogeneous landscapes. Boundary-Layer Meteorology. pdf
  6. Peng, L. Q.*, D. Li, and J. Sheffield (2018) Drivers of Variability in Atmospheric Evaporative Demand: Multiscale Spectral Analysis Based on Observations and Physically Based Modeling, Water Resour. Res.,  pdf
  7. Liao, W. L., A. J. Rigden, and D. Li*(2018). Attribution of local temperature response to deforestation. Journal of Geophysical Research: Biogeosciences, pdf, SI
  8. Gao, Z., H. Liu*, D. Li, G. G. Katul, and P.D. Blanken (2018). Enhanced temperature- humidity similarity caused by entrainment processes with increased wind shear. Journal of Geophysical Research: Atmospheres, 123. https://doi.org/10.1029/2017JD028195. pdf
  9. Li, D.*, G. Katul, and H. Liu (2018), Intrinsic constraints on asymmetric turbulent transport of scalars within the constant-flux layer of the lower atmosphere, Geophys. Res. Lett., pdf, SI
  10. Gu, Y. F., D. Li* (2018), A modeling study of the sensitivity of urban heat islands to precipitation at climate scales, Urban Climate, pdf

2017

  1. Zhu, X.L., D. Li, W.Y. Zhou, G. Ni, Z. Cong, and T. Sun* (2017), An idealized LES study of urban modification of moist convection, Q. J. Roy. Meteor. Soc., pdf
  2. Sun, T., S. Kotthaus, D. Li, H. Ward, Z.Q. Gao, G. Ni, and S. Grimmond (2017), Attribution and Mitigation of Heat Wave-induced Urban Heat Storage Change, Environ. Res. Lett. pdf
  3. Hu, X.*, J. S. Wu, P. Chen, T. Sun, and D. Li (2017), Impact of climate variability and change on crime rates in Tangshan, China, Science of the Total Environment, pdf
  4. Rigden A. J., and D. Li* (2017), Attribution of surface temperature anomalies induced by land use and land cover changes, Geophys. Res. Lett.  pdf, SI, code
  5. Li, D.*, and G. Katul (2017), On the linkage between the k-5/3 spectral and k-7/3 cospectral scaling in high-Reynolds number turbulent boundary layers, Phys. Fluids, pdf
  6. Li, D.*, A. J. Rigden, G. D. Salvucci, and H. Liu (2017), Reconciling the Reynolds number dependence of scalar roughness length and laminar resistance, Geophys. Res. Lett., 44,  doi:10.1002/2017GL072864. pdf
  7. Hu, X.*, P. Chen, H. Huang, T. Sun, and D. Li (2017), Contrasting impacts of heat stress on violent and nonviolent robbery in Beijing, China, Nat Hazards, pdf
  8. Wang, J. A.*, L. R. Hutyra, D. Li, M. A. Friedl (2017) Gradients of atmospheric temperature and humidity controlled by local urban land use intensity in Boston, J. Appl. Meteor. Climatol. pdf
  9. Zhang, Y; Z. Gao*; Z. Pan; D. Li; X. Huang (2017) Spatiotemporal variability of extreme temperature frequency and amplitude in China, Atmos. Res. pdf

2016

  1. Li, D.*, G. G. Katul and S. Zilitinkevich (2016), Closure schemes for stably stratified atmospheric flows without turbulence cutoff, J Atmos Sci. pdf
  2. Parolari, A.*, D. Li, E. Bou-Zeid, G. Katul, and A. Shmuel (2016) Climate, not conflict, explains extreme Middle East dust storm, Environ. Res. Lett. pdf
  3. Zhu, X.L., G. Ni, Z. Cong, T. Sun*, and D. Li (2016), Impacts of surface heterogeneity on dry planetary boundary layers in an urban-rural setting, J. Geophys. Res.: Atmosphere pdf
  4. Li, D.*, T. Sun, M. Liu, L. Wang, and Z. Gao (2016), Changes in wind speed under heat waves enhance urban heat islands in Beijing metropolitan area, J. Appl. Meteor. Climatol. , pdf
  5. Zhou, D.C.*, D. Li, G. Sun, L. Zhang, Y. Liu, and L Hao (2016), Contrasting effects of urbanization and agriculture on surface temperature in eastern China, J. Geophys. Res.: Atmospheres, 121, 241-258, DOI: 10.1002/2016JD025359. pdf
  6. Li, D.*, Revisiting the subgrid-scale Prandtl number for large-eddy simulation, J. Fluid Mech. DOI: http://dx.doi.org/10.1017/jfm.2016.472 .pdf
  7. Zhou, D.C.*, L. Zhang, D. Li, D. Huang and C Zhu, Climate–vegetation control on the diurnal and seasonal variations of surface urban heat islands in China, Environ. Res. Lett., 11 (7), 074009. pdf
  8. Katul, G.G.*, D. Li, H. Liu, and S. Assouline, 2016, Deviations from unity of the ratio of the turbulent Schmidt to Prandtl numbers in stratified atmospheric flows over water surfaces, Physical Review Fluids, 1, 034401. pdf
  9. Li, D.*, S. Malyshev, E. Shevliakova (2016), Exploring historical and future urban climate in the Earth System Modeling framework: 1. Model development and evaluation. J Adv Model Earth Syst., 8, 917–935, doi:10.1002/2015MS000578. pdf
  10. Li, D.*, S. Malyshev, E. Shevliakova (2016), Exploring historical and future urban climate in the Earth System Modeling framework: 2. Impact of urban land use over the Continental United States. J Adv Model Earth Syst., 8, 936–953. doi:10.1002/2015MS000579. pdf
  11. Li, D.*, S. Salesky, T. Banerjee (2016), Connections between the Ozmidov scale and mean velocity profile in stably stratified atmospheric surface layers, J. Fluid Mech. DOI: http://dx.doi.org/10.1017/jfm.2016.311.pdf
  12. Assouline, S., D. Li*, S. Tyler, J. Tanny, S. Cohen, E. Bou-Zeid, M. Parlange, G. Katul (2016), On the variability of the Priestley-Taylor coefficient over water bodies. Water Resour. Res., 52, 150–163, DOI: 10.1002/2015WR017504. pdf
  13. Zhang, Y., Z. Pan, Z. Gao*, D. Li and B. Wan (2016), Record-breaking temperatures in China during the warming and recent hiatus periods, J. Geophys. Res.: Atmospheres, 121, 241-258, DOI: 10.1002/2015JD023886. pdf
  14. Ramamurthy P.*, D. Li, E. Bou-Zeid (2016), High-resolution Simulation of Heatwave Events in New York City. Theor. Appl. Climatol. 1-14. pdf
  15. Li, D.*, G. Katul, and P. Gentine (2016), The k^{−1} scaling of air temperature spectra in atmospheric surface layer flows, Q. J. Roy. Meteor. Soc. 142: 496–505, doi: 10.1002/qj.2668. pdf
  16. Banerjee, T.*, D. Li , J-Y Juang, G. Katul (2016), A spectral budget model for the longitudinal turbulent velocity in the stable atmospheric surface layer. J Atmos Sci. 73, 145–166.  pdf

2015

  1. Li, D.*, G. G. Katul, and E. Bou-Zeid (2015), Turbulent Energy Spectra and Cospectra of Momentum and Heat Fluxes in the Stable Atmospheric Surface Layer, Bound. Layer Meteorol., 157(1), 1-21 pdf
  2. Sun, K., D. Li*, L. Tao, Z. Zhao, and M. A. Zondlo (2015), Quantifying the Influence of Random Errors in Turbulence Measurements on Scalar Similarity in the Atmospheric Surface Layer, Bound. Layer Meteorol., 157(1), 61-80. pdf
  3. Li, D.*, G. G. Katul and S. Zilitinkevich (2015), Revisiting the Turbulent Prandtl Number in an Idealized Atmospheric Surface Layer, J Atmos Sci. 72, 2394–2410. pdf
  4. Li, D., T. Sun*, M. Liu, L. Yong, Z. Gao, L. Wang (2015), Contrasting responses of urban and rural surface energy budgets to heat waves explain synergies between urban heat islands and heat waves, Environ. Res. Lett., 10, 054009 pdf
  5. Zhang, N., Z. Gao*, Y. Liu, and D. Li (2015), Sensitivity of Climate Models to the Critical Richardson Number in the Boundary Layer Parameterization, J. Geophys. Res.: Atmospheres, 120, 3310-3328. pdf
  6. Li, Y., Z. Gao*, D. Li., F. Chen, Y. Yang, L. Sun (2015), An update of non-iterative solutions for surface fluxes under unstable conditions, Bound. Layer Meteorol., 156(3), 501-511. pdf
  7. Chen, C., D. Li, Z. Gao*, J. Tang, Y. Gao, X. Guo, L. Wang, and B. Wan (2015), Seasonal and inter-annual variations of sensible heat, water vapor and CO2 fluxes over a rice-wheat rotation system in North China Plain, Adv. Atmos. Sci. 32(10), 1365-1380. pdf
  8. Yang, W., D. Li, T. Sun*, and G. H. Ni (2015), Saturation-excess and Infiltration-excess Runoff on Green Roofs, Ecol Eng, 74, 327–336. pdf
  9. Cong, Z.*, X. Zhang, D. Li, H. Yang and D. Yang (2015), Understanding Hydrological Trends by Combining the Budyko Hypothesis and a Stochastic Soil Moisture model, Hydrol. Sci. J. 60(1), 145-55. pdf
  10. Wang, L., Z. Gao*, S. Miao, X. Guo, T. Sun, M. Liu, and D. Li (2015), Contrasting Characteristics of the Surface Energy Balance between the Urban and Rural Areas of Beijing, China, Adv. Atmos. Sci. 32(4) 505-14 .pdf

2014

  1. Li, D.*, and E. Bou-Zeid (2014), Quality and Sensitivity of High-resolution Numerical Simulation of Urban Heat Islands, Environ. Res. Lett., 9(5), 055001. pdf
  2. Li, D.*, E. Bou-Zeid, and M. Oppenheimer (2014), The Effectiveness of Cool and Green roofs as Urban Heat Island Mitigation Strategies, Environ. Res. Lett., 9(5), 055002. pdf
  3. Li, D.* (2014), Assessing the Impact of Interannual Variability of Precipitation and Potential Evaporation on Evapotranspiration, Adv. Water Resour., 70, 1-11. pdf
  4. Hu, X., D. Li, H. Huang*, S. Shen, and E. Bou-Zeid (2014), Modeling and Sensitivity Analysis of Transport and Deposition of Radionuclides From the Fukushima Daiichi Accident, Atmos. Chem. Phys., 14, 11065-11092. pdf
  5. Wang, L., D. Li*, Z. Gao, T. Sun, X. Guo, and E. Bou-Zeid (2014), Turbulent Transport of Momentum and Scalars Above an Urban Canopy, Bound. Layer Meteorol., 150(3), 485-511. pdf
  6. Li, Y., Z. Gao*, D. Li, L. Wang, and H. Wang (2014), An Improved Non-iterative Surface Layer Flux Scheme for Atmospheric Stable Stratification Conditions, Geosci. Model Dev., 7(2), 515-529. pdf
  7. Zhang, Y., Z. Gao*, D. Li, Y. Li, N. Zhang, X. Zhao and J. Chen (2014), On the Computation Of Planetary Boundary Layer Height Using the Bulk Richardson Number Method, Geosci. Model Dev., 7, 2599-2611. pdf

2013

  1. Li, D.*, M. Pan, Z. T. Cong, L. Zhang, and E. Wood (2013), Vegetation Control on Water and Energy Balance Within the Budyko Framework, Water Resour. Res., 49(2), 969-976. pdf
  2. Li, D.*, and E. Bou-Zeid (2013), Synergistic Interactions Between Urban Heat Islands and Heat Waves: the Impact in Cities Is Larger Than the Sum of Its Parts, J. Appl. Meteorol. Climatol., 52(9), 2051-2064. pdf
  3. Li, D.*, E. Bou-Zeid, M. L. Baeck, S. Jessup, and J. A. Smith (2013), Modeling Land Surface Processes and Heavy Rainfall in Urban Environments: Sensitivity to Urban Surface Representations, J. Hydrometeorol., 14(4), 1098-1118. pdf
  4. Li, D.*, E. Bou-Zeid, M. Barlage, F. Chen, and J. A. Smith (2013), Development and Evaluation of a Mosaic Approach in the WRF-Noah Framework, J. Geophys. Res.: Atmospheres, 118(21), 2013JD020657. pdf
  5. Katul, G. G.*, D. Li, M. Chameki, and E. Bou-Zeid (2013), Mean Scalar Concentration Profile in a Sheared and Thermally Stratified Atmospheric Surface Layer, Phys. Rev. E., 87(2), 023004. pdf
  6. Zhao, Z.*, Z. Gao, D. Li, X. Bi, C. Liu, and F. Liao (2013), Scalar Flux–Gradient Relationships Under Unstable Conditions over Water in Coastal Regions, Bound. Layer Meteorol., 148(3), 495-516. pdf

2012

  1. Li, D.*, G. G. Katul, and E. Bou-Zeid (2012), Mean Velocity and Temperature Profiles in a Sheared Diabatic Turbulent Boundary Layer, Phys. Fluids, 24(10). pdf
  2. Li, D.*, E. Bou-Zeid, and H. De Bruin (2012), Monin–Obukhov Similarity Functions for the Structure Parameters of Temperature and Humidity, Bound. Layer Meteorol., 145(1), 45-67. pdf

2011

  1. Li, D., and E. Bou-Zeid* (2011), Coherent Structures and the Dissimilarity of Turbulent Transport of Momentum and Scalars in the Unstable Atmospheric Surface Layer, Bound. Layer Meteorol., 140(2), 243-262. pdf