{"id":9,"date":"2016-02-20T15:16:17","date_gmt":"2016-02-20T20:16:17","guid":{"rendered":"https:\/\/sites.bu.edu\/efm\/?page_id=9"},"modified":"2026-02-09T13:38:40","modified_gmt":"2026-02-09T18:38:40","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/efm\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

Bold<\/strong>: group members; underline<\/span>: visiting students\/scholars; * corresponding author<\/p>\n

2025<\/h3>\n
    \n
  1. Kermarrec G*, J. P. Montillet, D. Li<\/strong> (2025) Uncertainty in urban climate modeling: Bridging the gap between science and policy. PLOS Clim 4(10): e0000743. pdf<\/a><\/span><\/li>\n
  2. Smith, I. A.*, D. Li,<\/strong> D. K. Fork, G. A. Wellenius, and L. R. Hutyra, (2025): Integrated tree canopy expansion and cool roofs can optimize air temperature and heat exposure reductions in Boston. Communications Earth & Environment<\/em>, 6, 507. pdf<\/a><\/li>\n
  3. Liao, W., L. Wang,<\/strong> X. Liu*, D. Chan*, and D. Li*,<\/strong> (2025): Standardized heat islands and persistence drive modeled urban heat events. Nature Cities<\/em>. pdf<\/a><\/li>\n
  4. Ding, M., X. T. Zheng*, D. Li,<\/strong> and T. Sun, (2025): Background wind speeds outweigh urban heat islands in downwind precipitation enhancement by cities. Geophys. Res. Lett.<\/em>, 52, e2024GL114142. pdf<\/a><\/li>\n
  5. Qin, Y.*,<\/strong> G. G. Katul, H. Liu, and D. Li,<\/strong> (2025): Asymptotic coefficients of the attached-eddy model derived from an adiabatic atmosphere. J Fluid Mech,<\/em> 1011, A29. pdf<\/a><\/li>\n
  6. Kim, J., S. Choi, M. Panahi, D. Li,<\/strong> and Y. Kim*, (2025): Deep learning-based spatial optimization of green and cool roof implementation for urban heat mitigation. Journal of Environmental Management<\/em>, 383, 125398. pdf<\/a><\/li>\n
  7. Li, D.*,<\/strong> (2025): Bridging the Gap Between Applied Meteorology and Climate Science: A White Roof Example. ARC Geophysical Research<\/em>, 1. pdf<\/a><\/li>\n
  8. Wang, L., D. Li*,<\/strong> and X. Yuan, (2025): The role of vapor pressure deficit in the CLM simulated interaction between urban heat islands and heat waves over CONUS. Geophys. Res. Lett.,<\/em> 52, e2024GL113257. pdf<\/a><\/li>\n
  9. El Guernaoui, O., D. Li,<\/strong> and J. Reuder, (2025): Scaling the Vertical-Velocity Variance During the Very Late Afternoon Transition of the Convective Boundary Layer. Boundary-Layer Meteorol,<\/em> 191, 12. pdf<\/a><\/li>\n
  10. Edwards, D.*, A. Edwards, D. Li, L. Wang,<\/strong> K. F. Chung, D. Bhatta, et al., (2025): Global warming risks dehydrating and inflaming human airways. Communications Earth & Environment,<\/em> 6, 193. pdf<\/a><\/li>\n
  11. Talebpour, M.*, E. Bou\u2010Zeid, C. Welty, D. Li,<\/strong> and B. F. Zaitchik, (2024). Sensitivity of Fine\u2010Resolution Urban Heat Island Simulations to Soil Moisture Parameterization. International Journal of Climatology. pdf<\/a><\/li>\n<\/ol>\n

    2024<\/h3>\n
      \n
    1. Shao, X., N. Zhang*, D. Li,<\/strong> & J. Sun (2024). On the size of dominant momentum transporting eddies in stable atmospheric boundary layers. Geophysical Research Letters<\/em>, 51, e2024GL111459. https:\/\/doi.org\/10.1029\/2024GL111459. pdf<\/a><\/li>\n
    2. Li, D.*,<\/strong> 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<\/em>, 16, e2024MS004431. https:\/\/doi.org\/10.1029\/2024MS004431. pdf<\/a>, SI<\/a><\/li>\n
    3. Liu, J., Y. Xing,<\/span> D. Li,<\/strong> L. Yang, & G. Ni* (2024). Statistical and modeling analyses of urban impacts on winter precipitation. Urban Climate<\/em>, 56, 102038. pdf<\/a><\/li>\n
    4. Gao, Z. M., H. Liu*, D. Li,<\/strong> 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. <\/em>pdf<\/a><\/li>\n
    5. Li, D.*,<\/strong> L. Wang,<\/strong> W. Liao, T. Sun, G. Katul, E. Bou-Zeid, and B. Maronga, (2024): Persistent urban heat. Science Advances<\/em>, 10, eadj7398. pdf<\/a><\/li>\n<\/ol>\n

      2023<\/h3>\n
        \n
      1. Schlaerth, H. L., S.J. Silva*, Y. Li, & D. Li<\/strong> (2023): Albedo as a competing warming effect of urban greening. Journal of Geophysical Research: Atmospheres,<\/em> 128, e2023JD038764. https:\/\/doi.org\/10.1029\/2023JD038764. pdf<\/a><\/li>\n
      2. Shao, X., N. Zhang*, D. Li,<\/strong> & J. Sun (2023): A non-dimensional index for characterizing the transition of turbulence regimes in stable atmospheric boundary layers. Geophysical Research Letters<\/em>, 50, e2023GL105304. https:\/\/doi. org\/10.1029\/2023GL105304. pdf<\/a><\/li>\n
      3. Wang, L.*,<\/strong> T. Sun, W. Zhou, M. Liu, and D. Li <\/strong>(2023): Deciphering the sensitivity of urban canopy air temperature to anthropogenic heat flux with a forcing-feedback framework. Environmental Research Letters<\/em>. pdf<\/a><\/li>\n
      4. Wang, B.*, J. A. Geddes, T. J. Adams, E. S. Lind, B. C. McDonald, J. He, C. Harkins, D. Li<\/strong> 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<\/em>, 128(11), e2022JD037860. pdf<\/a><\/li>\n
      5. Akinlabi, E.*,<\/strong> M. Giometto, and D. Li\u00a0<\/strong>(2023): Budgets of Second-Order Turbulence Moments over a Real Urban Canopy. Boundary-Layer Meteorol. <\/em>pdf<\/a><\/li>\n
      6. Elguernaoui, O.*, J. Reuder, D. Li,<\/strong> 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,<\/em> 188, 259-284. pdf<\/a><\/li>\n
      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,<\/strong> 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.\u00a0Scientific Data<\/em> 10(1): 187. pdf<\/a><\/li>\n
      8. Ayazpour, Z., S. Tao,<\/strong> D. Li,<\/strong>\u00a0A. J.\u00a0Scarino, R. E. Kuehn, and K.\u00a0Sun* (2023): Estimates of the spatially complete, observational-data-driven planetary boundary layer height over the contiguous United States, Atmos. Meas. Tech<\/em>., 16, 563\u2013580, https:\/\/doi.org\/10.5194\/amt-16-563-2023. pdf<\/a><\/li>\n
      9. Qin, Y.*,<\/strong> W. Liao, and D. Li<\/strong> (2023): Attributing the Urban\u2013Rural Contrast of Heat Stress Simulated by a Global Model, Journal of Climate<\/em>, https:\/\/doi.org\/10.1175\/JCLI-D-22-0436.1, pdf<\/a>, SI<\/a><\/li>\n<\/ol>\n

        2022<\/h3>\n
          \n
        1. Lan, C.X., H. Liu*, G. Katul, D. Li,<\/strong> D. Finn, (2022). Turbulence structures in the very stable boundary layer under the influence of wind profile distortion. Journal of Geophysical Research: Atmospheres<\/em>, 127, e2022JD036565. https:\/\/doi.org\/10.1029\/2022JD036565. pdf<\/a><\/li>\n
        2. Akinlabi, E.*,<\/strong> B. Maronga, M. Giometto, and D. Li,<\/strong> (2022). Dispersive Fluxes Within and Over a Real Urban Canopy: A Large-Eddy Simulation Study. Boundary-Layer Meteorol<\/em> pdf<\/a><\/li>\n
        3. Maronga, B.*, M. Winkler, and D. Li,<\/strong> (2022). Can Areawide Building Retrofitting Affect the Urban Microclimate? An LES Study for Berlin, Germany. Journal of Applied Meteorology and Climatology<\/em> 61, 7, 800-817. pdf<\/a><\/li>\n
        4. Qian, Y.*, T. C. Chakraborty, J. Li, D. Li,<\/strong> 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.<\/em>, doi: 10.1007\/s00376-021-1371-9. pdf<\/a><\/li>\n
        5. Vahmani, P.*, A. D. Jones, and\u00a0D. Li<\/strong> (2022). Will anthropogenic warming increase evapotranspiration? Examining irrigation water demand implications of climate change in California. Earth’s Future<\/em>, 10, e2021EF002221. https:\/\/doi. org\/10.1029\/2021EF002221. pdf<\/a><\/li>\n
        6. Chen, W., Y. Zhou*, Y. Xie, G. Chen, K. J. Ding, and D. Li,<\/strong> (2022). Estimating spatial and temporal patterns of urban building anthropogenic heat using a bottom-up city building heat emission model. Resources, Conservation and Recyclin<\/em>g, 177, 105996. pdf<\/a><\/li>\n<\/ol>\n

          2021<\/h3>\n
            \n
          1. Chen, C.*, D. Li,<\/strong> and T. F. Keenan, (2021): Enhanced surface urban heat islands due to divergent urban-rural greening trends. Environmental Research Letters<\/em>, 16, 124071. pdf<\/a><\/li>\n
          2. Zhou, W.*, L. Wang*<\/strong>, D. Li<\/strong>, and L. R. Leung, (2021): Spatial pattern of lake evaporation increases under global warming linked to regional hydroclimate change. Communications Earth & Environment<\/em>, 2, 255. pdf<\/a><\/li>\n
          3. Sun, K.*, L. Li, S. Jagini, and D. Li,<\/strong> (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<\/em>., 21, 13311-13332. pdf<\/a><\/li>\n
          4. Smith, I. A.*, J. B. Winbourne, K. F. Tieskens, T. S. Jones, F. L. Bromley, D. Li,<\/strong> and L. R. Hutyra, (2021): A Satellite-Based Model for Estimating Latent Heat Flux From Urban Vegetation. Frontiers in Ecology and Evolution<\/em>, 9. pdf<\/a><\/li>\n
          5. Geddes, J. A.*, B. Wang, and D. Li,<\/strong>\u00a0(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<\/em>, 126, e2021JD035314. pdf<\/a>, SI<\/a><\/li>\n
          6. Maronga, B.*, D. Li,<\/strong> (2021). An Investigation of the Grid Sensitivity in Large-Eddy Simulations of the Stable Boundary Layer. Boundary-Layer Meteorol<\/em> \u00a0https:\/\/doi.org\/10.1007\/s10546-021-00656-8 pdf<\/a><\/li>\n
          7. Wang, L.,<\/strong> M. Huang, and D. Li* <\/strong>(2021): Strong influence of convective heat transfer efficiency on the cooling benefits of green roof irrigation. Environ. Res.\u00a0Lett.<\/em>, 16, 084062. pdf<\/a>, SI<\/a><\/li>\n
          8. Wang, L.,<\/strong> D. Li<\/strong>* (2021) Urban heat islands during heat waves: a comparative study between Boston and Phoenix. J. Appl.\u00a0Meteorol.\u00a0Climatol.<\/em>, DOI: 10.1175\/JAMC-D-20-0132.1. pdf<\/a><\/li>\n
          9. Liao, W.,<\/span> D. Li,<\/strong> S. Malyshev, E. Shevliakova, H. Zhang,\u00a0X. Liu*,\u00a0(2021), Amplified Increases of Compound Hot Extremes over Urban Land in China, Geophys. Res. Lett.,<\/em>48, e2020GL091252. https:\/\/doi.org\/10.1029\/2020GL091252. pdf<\/a>, SI<\/a><\/li>\n
          10. Cheng, Y.*, Q. Li, D. Li,<\/strong> and P. Gentine (2021), Logarithmic profile of temperature in sheared and unstably stratified atmospheric boundary layers, Physical Review Fluids<\/em>, 6(3), 034606, doi: 10.1103\/PhysRevFluids.6.034606. pdf<\/a><\/li>\n
          11. Li, D*.<\/strong> (2021) The O\u2019KEYPS Equation and 60 Years Beyond. Boundary-Layer Meteorol\u00a0<\/em>.179, 19\u201342. https:\/\/doi.org\/10.1007\/s10546-020-00585-y. pdf<\/a><\/li>\n<\/ol>\n

            2020<\/h3>\n
              \n
            1. Wang, L., D. Li*,<\/strong> N. Zhang, J. Sun, and W. Guo. (2020) Surface urban heat and cool islands and their drivers: an observational study in Nanjing, China.\u00a0J. Appl.\u00a0Meteorol.\u00a0Climatol.,<\/em>\u00a01-44. pdf<\/a><\/li>\n
            2. Chen, C.*, D. Li*,<\/strong> Y. Li, S. Piao, X. Wang, M. Huang, P. Gentine, R. R. Nemani, R. B. Myneni\u00a0(2020), Biophysical impacts of Earth greening largely controlled by aerodynamic resistance. Science Advances.<\/em> 6, eabb1981. pdf<\/a>, SI<\/a><\/li>\n
            3. Chen, C.*, L.\u00a0Wang,<\/strong>\u00a0R.B. Myneni, and\u00a0D.\u00a0Li*.<\/strong> (2020). Attribution of land\u2010use\/land\u2010cover change induced surface temperature anomaly: How accurate is the first\u2010order Taylor series expansion? Journal of Geophysical Research: Biogeosciences<\/em>, 125, e2020JG005787.\u00a0pdf<\/a>, SI<\/a><\/li>\n
            4. Zhang, Y.,<\/span> K. Sun*, Z. Gao, Z. Pan, M.A. Shook, and\u00a0D. Li.<\/strong> (2020). Diurnal climatology of planetary boundary layer height over the contiguous United States derived from AMDAR and reanalysis data. Journal of Geophysical Research: Atmospheres<\/em>, 125, e2020JD032803.\u00a0pdf<\/a>, SI<\/a><\/li>\n
            5. Liao, W.,<\/span> X. Liu*, E. Burakowski, D. Wang, L. Wang,<\/strong> and D. Li<\/strong>\u00a0(2020), Sensitivities and Responses of Land Surface Temperature to Deforestation-Induced Biophysical Changes in Two Global Earth System Models. J. Climate<\/em>, 33, 8381\u20138399, https:\/\/doi.org\/10.1175\/JCLI-D-19-0725.1. pdf<\/a>, SI<\/a><\/li>\n
            6. Campbell, P. C.*, J. O. Bash, J. A. Herwehe, R. C. Gilliam, and D. Li<\/strong> (2020), Impacts of Tiled Land Cover Characterization on Global Meteorological Predictions Using the MPAS-A, Journal of Geophysical Research: Atmospheres<\/em>, 125(15), e2019JD032093, doi: 10.1029\/2019jd032093.<\/li>\n
            7. Wang, L<\/strong>., M. Huang, and D. Li*<\/strong> (2020), Where Are White Roofs More Effective in Cooling the Surface?, Geophys. Res. Lett.<\/em>, 47(15), e2020GL087853, doi: 10.1029\/2020gl087853. pdf<\/a>, SI<\/a><\/li>\n
            8. Winbourne, J. B.*, T. S. Jones, S. M. Garvey, J. L. Harrison, L. Wang<\/strong>, D. Li<\/strong>, P. H. Templer, and L. R. Hutyra (2020), Tree Transpiration and Urban Temperatures: Current Understanding, Implications, and Future Research Directions, Bioscience<\/em>, 70(7), 576-588, doi: 10.1093\/biosci\/biaa055. pdf<\/a><\/li>\n
            9. Yao, J., H. Liu*, J. Huang*, Z. Gao, G. Wang, D. Li<\/strong>, H. Yu, and X. Chen (2020), Accelerated dryland expansion regulates future variability in dryland gross primary production, Nature Communications<\/em>, 11(1), 1665, doi: 10.1038\/s41467-020-15515-2.\u00a0pdf<\/a>,\u00a0SI<\/a><\/li>\n
            10. Ji, P., X. Yuan*, and D. Li,<\/strong> (2020): Atmospheric Radiative Processes Accelerate Ground Surface Warming over the Southeastern Tibetan Plateau during 1998\u20132013. Journal of Climate<\/em>, 33, 1881-1895.\u00a0pdf<\/a>, SI<\/a><\/li>\n
            11. Moon, M.*, D. Li,<\/strong> W. Liao<\/span>, 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<\/em>, 284, 107905.\u00a0pdf<\/a><\/li>\n
            12. Zhang, Y.<\/span>, L. Wang<\/strong>, J. A. Santanello, Z. Pan, Z. Gao, and D. Li*<\/strong>, (2020): Aircraft observed diurnal variations of the planetary boundary layer under heat waves. Atmos. Res.<\/em>, 235, 104801. pdf<\/a><\/li>\n<\/ol>\n

              <\/p>\n

              2019<\/h3>\n
                \n
              1. Li, D*,<\/strong> L. Wang<\/strong>, (2019). Sensitivity of Surface Temperature to Land Use and Land Cover Change-Induced Biophysical Changes: The Scale Issue<\/span>. Geophys. Res. Lett.<\/em>, pdf<\/a>, SI<\/a><\/span><\/li>\n
              2. Ao, X, L. Wang<\/strong>, X. Zhi, W. Gu, H. Yang, D. Li*\u00a0<\/strong>(2019)\u00a0Observed synergies between urban heat islands and heat waves and their controlling factors in Shanghai, China.\u00a0<\/span>J. Appl. Meteor. Climatol.<\/em> 58<\/span><\/b>, <\/span>1955\u20131972, <\/span><\/span>https:\/\/doi.org\/10.1175\/JAMC-D-19-0073.1<\/a><\/span> <\/span>pdf<\/a><\/li>\n
              3. Zhou, Y. Z.<\/span>, D.\u00a0Li*,<\/strong>\u00a0 and X. Li* (2019)\u00a0The Effects of Surface Heterogeneity Scale on the Flux Imbalance under Free Convection. Journal of Geophysical Research: Atmospheres<\/i>,124<\/span>. <\/span>https:\/\/doi.org\/10.1029\/2018JD029550. pdf<\/a><\/li>\n
              4. Lan, C.X., H. Liu*,<\/strong> G. Katul, D. Li,<\/strong> D. Finn, (2019). Large Eddies Regulate Turbulent Flux Gradients in Coupled Stable Boundary Layers. Geophys. Res. Lett.<\/em>,<\/span>\u00a0<\/i>pdf<\/a>, SI<\/a><\/span><\/li>\n
              5. Wang, P.<\/span>, D. Li*,<\/strong> W.L. Liao<\/span>, 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\u00a0<\/span>Water\u00a0<\/i>Resour<\/i>. Res., <\/i>pdf<\/a>, SI<\/a><\/span><\/li>\n
              6. Wang, L,<\/strong> D. Li*<\/strong>, (2019). Modulation of the Urban Boundary Layer Heat Budget by a Heat Wave,\u00a0 Q. J. Roy. Meteor. Soc.,\u00a0<\/i><\/span><\/span>\u00a02019,\u00a01\u201318, https:\/\/doi.org\/10.1002\/qj.3526,\u00a0pdf<\/a><\/span><\/li>\n
              7. Li, D*,<\/strong> W.L. Liao<\/span>, A. J. Rigden, X. Liu, D. Wang, S. Malyshev, E. Shevliakova, (2019). Urban heat island: aerodynamics or imperviousness? Science Advances\u00a0<\/em> pdf<\/a>, SI<\/a><\/span><\/li>\n
              8. Zhang, <\/span><\/text>Y.<\/span>, D. Li*<\/strong>, Z. Lin<\/strong>, J. A. Santanello, & Z. Gao,\u00a0(2019<\/span>). Development and evaluation of a long\u2010term data record of planetary boundary layer profiles from aircraft meteorological reports<\/span>. Journal of Geophysical Research: Atmospheres<\/i>, 124<\/span>. <\/a>\u00a0pdf<\/a><\/li>\n
              9. Katul, G.*, D. Li, <\/strong>C. Manes (2019) A primer on turbulence in hydrology and hydraulics: The power of dimensional analysis,\u00a0Water.<\/em>\u00a0pdf<\/a><\/li>\n
              10. Li, D*<\/strong> (2019) Turbulent Prandtl number in the atmospheric boundary layer – where are we now?\u00a0Atmos. Res.<\/em>\u00a0pdf<\/a><\/span><\/li>\n<\/ol>\n

                <\/strong><\/p>\n

                2018<\/h3>\n
                  \n
                1. \n
                  \n
                2. Rigden\u00a0A. J.*, D. Li,<\/strong> and\u00a0G. D. Salvucci\u00a0(2018),\u00a0Dependence of thermal roughness length on friction velocity across land cover types: a synthesis analysis using AmeriFlux data,\u00a0Agr. Forest.\u00a0Meteorol.\u00a0<\/em>pdf<\/a><\/span><\/li>\n
                3. Jacobs, S. J.*, A. J. E. Gallant, N.J. Tapper, and D. Li<\/strong>\u00a0(2018).<\/span> Use of Cool Roofs and Vegetation to Mitigate Urban Heat and Improve Human Thermal Stress in Melbourne, Australia<\/span><\/span>.\u00a0<\/span>J. Appl. Meteor. Climatol<\/em>.\u00a0pdf<\/a><\/span><\/li>\n
                4. Lan,<\/span>\u00a0C<\/span>.X,<\/span>\u00a0H.\u00a0<\/span>Liu*<\/strong><\/span>,<\/span>\u00a0D.\u00a0<\/strong><\/span>Li<\/span><\/strong>,<\/span>\u00a0G. G.\u00a0<\/span>Kat<\/span><\/span>ul<\/span>,<\/span>\u00a0and<\/span>\u00a0D.\u00a0<\/span>Finn<\/span>\u00a0<\/span>(2018).<\/span> Distinct Turbulence Structures in Stably Stratified Boundary Layers With Weak and Strong Surface Shear<\/span>.<\/span> <\/span>Journal<\/span> <\/span>of\u00a0<\/span><\/span>Geophysical<\/span> <\/span>Research:<\/span> <\/span><\/em>Atmosphere<\/em>s<\/span>.\u00a0pdf<\/a><\/span><\/li>\n
                5. Zhou, Y. Z.<\/span>, D.\u00a0Li,<\/strong> H. P. Liu, and X. Li* (2018): Diurnal variations of the flux imbalance over homogeneous and heterogeneous landscapes. Boundary-Layer Meteorology<\/em>.\u00a0pdf<\/a><\/li>\n
                6. Peng, L. Q.*, D. Li,<\/strong> and J. Sheffield (2018)\u00a0Drivers of Variability in Atmospheric Evaporative Demand: Multiscale Spectral Analysis Based on Observations and Physically Based Modeling,\u00a0Water\u00a0<\/i>Resour<\/i>. Res., \u00a0<\/i>pdf<\/a><\/li>\n
                7. Liao, W. L.<\/span>, A. J. Rigden, and\u00a0D. Li*<\/strong>(2018).<\/span> Attribution of local temperature response to deforestation<\/span><\/span>.<\/span>\u00a0<\/span>Journal<\/span>\u00a0<\/span>of\u00a0<\/span><\/span>Geophysical<\/span>\u00a0<\/span>Research:<\/span>\u00a0<\/span><\/em>Biogeosciences<\/em><\/span>,\u00a0<\/span><\/span>pdf<\/a>,\u00a0SI<\/a><\/span><\/li>\n
                8. \n
                  Gao,<\/span> <\/span>Z.,<\/span>\u00a0H.\u00a0<\/span>Liu*<\/strong><\/span>,<\/span>\u00a0D.\u00a0<\/strong><\/span>Li<\/span><\/strong>,<\/span>\u00a0G. G.\u00a0<\/span>Kat<\/span><\/span>ul<\/span>,<\/span>\u00a0and<\/span>\u00a0P.D.\u00a0<\/span>Blanken<\/span>\u00a0<\/span>(2018).<\/span> <\/span>Enhanced\u00a0<\/span>temperature- humidity<\/span> <\/span>similarity<\/span> <\/span>cause<\/span><\/span>d\u00a0<\/span>by<\/span> <\/span>entrainme<\/span><\/span>nt<\/span> <\/span>process<\/span><\/span>es<\/span> <\/span>with\u00a0<\/span>increased<\/span> <\/span>wind<\/span> <\/span>shear.<\/span> <\/span>Journal<\/span> <\/span>of\u00a0<\/span><\/span>Geophysical<\/span> <\/span>Research:<\/span> <\/span><\/em>Atmosphere<\/em>s<\/span><\/span>,<\/span> <\/span><\/span>123<\/span>.\u00a0<\/span>https:\/\/doi.org\/10.102<\/span><\/span>9\/2017JD028195.\u00a0pdf<\/a><\/span><\/div>\n<\/li>\n
                9. \n
                  Li, D.*<\/strong>, G. Katul, and H. Liu (2018), Intrinsic\u00a0constraints on asymmetric turbulent transport of scalars within the constant-\ufb02ux layer of the lower atmosphere,\u00a0Geophys. Res. Lett.<\/em>, pdf<\/a>, SI<\/a><\/div>\n<\/li>\n
                10. Gu, Y. F.,<\/strong>\u00a0D. Li<\/strong>*\u00a0(2018), A modeling study of the sensitivity of urban heat islands to precipitation at climate scales, Urban Climate<\/em>,\u00a0<\/i>pdf<\/a><\/li>\n<\/ol>\n

                  2017<\/h3>\n
                    \n
                  1. Zhu, X.L.<\/span>, D. Li,<\/strong>\u00a0W.Y. Zhou, G. Ni, Z. Cong, and T. Sun*\u00a0(2017),\u00a0An idealized LES study of urban modification of moist convection,\u00a0Q. J. Roy. Meteor. Soc., <\/i>pdf<\/a><\/li>\n
                  2. Sun, T., S. Kotthaus, D. Li,<\/strong> H. Ward, Z.Q. Gao, G. Ni, and S. Grimmond\u00a0(2017), Attribution and Mitigation of Heat Wave-induced Urban Heat Storage Change,\u00a0Environ. Res.\u00a0<\/i>Lett.\u00a0<\/i>pdf<\/a><\/li>\n
                  3. Hu, X.*, J. S. Wu, P. Chen,<\/b>\u00a0T. Sun, and\u00a0D. Li<\/strong>\u00a0(2017), Impact of climate variability and change on crime rates in Tangshan, China,\u00a0Science of the Total Environment<\/em>,\u00a0pdf<\/a><\/li>\n
                  4. Rigden\u00a0A. J., and\u00a0D. Li*<\/strong>\u00a0(2017), Attribution of surface temperature anomalies induced by land use and land cover changes<\/span>, Geophys. Res.\u00a0Lett. \u00a0<\/i>pdf<\/a>,\u00a0SI<\/a>, code<\/a><\/li>\n
                  5. Li, D.*<\/strong>, and G. Katul\u00a0(2017), On the linkage between the k<\/em><\/span>-5\/3<\/sup>\u00a0spectral and k<\/em><\/span>-7\/3<\/sup>\u00a0cospectral scaling in high-Reynolds number turbulent boundary layers<\/span>, Phys. Fluids, <\/i>pdf<\/a>
                    \n<\/span><\/li>\n
                  6. Li, D.*<\/strong>, 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.<\/em>, 44, \u00a0doi:10.1002\/2017GL072864. pdf<\/a><\/li>\n
                  7. Hu, X.*,\u00a0P. Chen,<\/b>\u00a0H. Huang, T. Sun, and D. Li<\/strong> (2017), Contrasting impacts of heat stress on violent and nonviolent robbery in Beijing, China, Nat Hazards<\/em>,\u00a0pdf<\/a><\/li>\n
                  8. Wang, J. A.*, L. R. Hutyra, D. Li,<\/strong> M. A. Friedl\u00a0(2017)\u00a0Gradients of atmospheric temperature and humidity controlled by local urban land use intensity in Boston,\u00a0J. Appl. Meteor.\u00a0Climatol.<\/em>\u00a0pdf<\/a><\/li>\n
                  9. Zhang, Y; Z.\u00a0Gao*; Z.\u00a0Pan; D. Li;<\/strong> X.\u00a0Huang (2017)\u00a0Spatiotemporal\u00a0<\/span>variability\u00a0of\u00a0extreme\u00a0<\/span>temperature\u00a0frequency\u00a0and\u00a0<\/span>amplitude\u00a0in\u00a0China, Atmos. Res.<\/em>\u00a0pdf<\/a><\/span><\/li>\n<\/ol>\n

                    2016<\/h3>\n
                      \n
                    1. Li, D<\/b>.*<\/b>,<\/b>\u00a0G. G.\u00a0Katul\u00a0and S.\u00a0Zilitinkevich\u00a0(2016), Closure schemes for stably stratified atmospheric flows without turbulence cutoff,\u00a0J\u00a0<\/i>Atmos<\/i>\u00a0Sci.\u00a0<\/i>pdf<\/a><\/li>\n
                    2. Parolari, A.*, D. Li,<\/strong> E. Bou-Zeid, G.\u00a0Katul, and A. Shmuel (2016) Climate, not conflict, explains extreme Middle East dust storm,\u00a0Environ. Res.\u00a0<\/i>Lett.<\/i>\u00a0pdf<\/a><\/span><\/li>\n
                    3. Zhu, X.L.,<\/span> G. Ni, Z. Cong, T. Sun*, and\u00a0D. Li\u00a0<\/strong>(2016), Impacts of surface heterogeneity on dry planetary boundary layers in an urban-rural setting,\u00a0J.\u00a0<\/i>Geophys<\/i>. Res.: Atmosphere <\/i>pdf<\/a><\/li>\n
                    4. Li, D.*,<\/b>\u00a0T. Sun, M. Liu, L. Wang, and Z.\u00a0Gao (2016),\u00a0Changes in wind speed under heat waves enhance urban heat islands in Beijing metropolitan area,\u00a0J. Appl. Meteor. Climatol.<\/em>\u00a0,\u00a0<\/i>pdf<\/a><\/li>\n
                    5. Zhou, D.C.*, D. Li,\u00a0<\/strong>G. Sun, L. Zhang, Y. Liu, and L Hao (2016),\u00a0Contrasting effects of urbanization and agriculture on surface temperature in eastern China,\u00a0J.\u00a0<\/i>Geophys<\/i>. Res.: Atmospheres<\/i>,<\/i>\u00a0121, 241-258,\u00a0DOI: 10.1002\/2016JD025359<\/span>.\u00a0pdf<\/a><\/li>\n
                    6. Li, D.*,\u00a0<\/strong>Revisiting the subgrid-scale Prandtl number for large-eddy simulation,\u00a0J. Fluid Mech.<\/em>\u00a0DOI:<\/span>\u00a0http:\/\/dx.doi.org\/10.1017\/jfm.2016.472<\/a> .pdf<\/a><\/li>\n
                    7. Zhou, D.C.*, L.\u00a0Zhang, D. Li,<\/strong> D. Huang and C Zhu, Climate\u2013vegetation control on the diurnal and seasonal variations of surface urban heat islands in China,\u00a0Environ. Res.\u00a0<\/i>Lett., <\/i>11 (7),\u00a0074009. pdf<\/a><\/li>\n
                    8. Katul, G.G.*, D. Li,<\/strong> 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,\u00a0<\/span>Physical Review Fluids,\u00a0<\/i>1, 034401.\u00a0pdf<\/a><\/span><\/li>\n
                    9. Li, D.*,<\/strong> S. Malyshev, E. Shevliakova (2016), Exploring historical and future urban climate in the Earth System Modeling framework: 1. Model development and evaluation.\u00a0J Adv Model Earth Syst<\/em>., 8<\/span>,<\/span>\u00a0<\/span><\/span>917\u2013935,<\/span>\u00a0doi:10.1002\/2015MS000578. pdf<\/a><\/li>\n
                    10. Li, D.*,<\/strong>\u00a0S. 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.\u00a0J Adv Model Earth Syst<\/em>., 8<\/span>,<\/span> <\/span>936\u2013953<\/span><\/span>. doi:10.1002\/2015MS000579. pdf<\/a><\/li>\n
                    11. Li, D.*<\/strong>, S. Salesky, T. Banerjee\u00a0(2016),\u00a0Connections between the Ozmidov scale and mean velocity profile in stably stratified atmospheric surface layers, J. Fluid Mech.<\/em>\u00a0DOI:<\/span>\u00a0http:\/\/dx.doi.org\/10.1017\/jfm.2016.311<\/a>.pdf<\/a><\/li>\n
                    12. Assouline<\/span>, S.,\u00a0<\/span>D. Li*,<\/span><\/b>\u00a0S. Tyler, J.\u00a0<\/span>Tanny<\/span>, S. Cohen, E.\u00a0<\/span>Bou-Zeid<\/span>, M.\u00a0<\/span>Parlange<\/span>, G.\u00a0<\/span>Katul<\/span>\u00a0(2016), On the variability of the Priestley-Taylor coefficient over water bodies.\u00a0<\/span>Water\u00a0<\/span><\/i>Resour<\/span><\/i>. Res.,<\/span><\/i>\u00a0<\/span><\/span>52<\/span>,\u00a0150\u2013163,\u00a0<\/span>DOI: 10.1002\/2015WR017504. pdf<\/a><\/span><\/li>\n
                    13. Zhang, Y., Z. Pan, Z.\u00a0<\/span>Gao<\/span>*,\u00a0<\/span>D. Li<\/span><\/b>\u00a0and B. Wan (2016),<\/span>\u00a0<\/span>Record-breaking temperatures in China during the warming and recent hiatus periods<\/span>,\u00a0<\/span>J.\u00a0<\/span><\/i>Geophys<\/span><\/i>. Res.: Atmospheres<\/span><\/i>,<\/span><\/i>\u00a0121, 241-258,\u00a0<\/span>DOI: 10.1002\/2015JD023886<\/span>.<\/span>\u00a0pdf<\/a><\/span><\/li>\n
                    14. Ramamurthy P<\/span>.<\/span>*<\/span>,<\/span>\u00a0<\/span><\/b>D. Li,<\/span><\/b>\u00a0E<\/span>.\u00a0<\/span>Bou-Zeid<\/span>\u00a0(2016),\u00a0<\/span>High-resolution Simulation of\u00a0<\/span>Heatwave<\/span>\u00a0Events in New York City<\/span>.\u00a0<\/span>Theor<\/span><\/i>. Appl.\u00a0<\/span><\/i>Climatol<\/span><\/i>.<\/span><\/i>\u00a0<\/span>1-14. pdf<\/a><\/span><\/li>\n
                    15. Li, D<\/span><\/b>.*<\/span><\/b>,<\/span><\/b>\u00a0G.\u00a0<\/span>Katul<\/span>, and P.\u00a0<\/span>Gentine<\/span>\u00a0(2016),\u00a0<\/span>T<\/span>he k^{<\/span>\u22121}<\/span>\u00a0scaling of\u00a0<\/span>air\u00a0<\/span>temperature spectra in atmospheric surface layer flows,\u00a0<\/span>Q. J. Roy. Meteor. Soc.<\/span><\/i>\u00a0142:\u00a0496\u2013505,\u00a0<\/span>doi<\/span>: 10.1002\/qj.2668<\/span>.<\/span>\u00a0pdf<\/a><\/span><\/li>\n
                    16. Banerjee, T<\/span>.*<\/span><\/span>,\u00a0<\/span><\/span>D. Li<\/span><\/span><\/b>\u00a0, J-Y\u00a0<\/span><\/span>Juang<\/span><\/span>, G.\u00a0<\/span><\/span>Katul<\/span><\/span>\u00a0(2016), A spectral budget model for the longitudinal turbulent velocity in the stable atmospheric surface layer.\u00a0<\/span><\/span>J\u00a0<\/span><\/span><\/i>Atmos<\/span><\/span><\/i>\u00a0Sci.<\/span><\/span><\/i>\u00a0<\/span><\/span>73, 145\u2013166.<\/span><\/span>\u00a0<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n<\/ol>\n

                      2015<\/h3>\n
                        \n
                      1. Li, D<\/b>.*<\/span><\/span><\/b>,<\/span><\/span><\/b>\u00a0G. G.\u00a0<\/span><\/span>Katul<\/span><\/span>, and E.\u00a0<\/span><\/span>Bou-Zeid<\/span><\/span>\u00a0(2015), Turbulent Energy Spectra and Cospectra of Momentum and Heat Fluxes in the Stable Atmospheric Surface Layer,\u00a0<\/span><\/span>Bound. Layer\u00a0<\/span><\/span><\/i>Meteorol<\/span><\/span><\/i>.,<\/span><\/span><\/i>\u00a0157(1), 1-21<\/span><\/span>\u00a0pdf<\/a><\/span><\/span><\/span><\/li>\n
                      2. Sun, K.,\u00a0<\/span><\/span>D. Li*,<\/span><\/span><\/b>\u00a0L. Tao, Z. Zhao, and M. A.\u00a0<\/span><\/span>Zondlo<\/span><\/span>\u00a0(2015), Quantifying the Influence of Random Errors in Turbulence Measurements on Scalar Similarity in the Atmospheric Surface Layer,\u00a0<\/span><\/span>Bound. Layer\u00a0<\/span><\/span><\/i>Meteorol<\/span><\/span><\/i>.,<\/span><\/span><\/i>\u00a0157(1), 61-80. pdf<\/a><\/span><\/span><\/li>\n
                      3. Li, D<\/span><\/span><\/b>.*<\/span><\/span><\/b>,<\/span><\/span><\/b>\u00a0G. G.\u00a0<\/span><\/span>Katul<\/span><\/span>\u00a0and S.\u00a0<\/span><\/span>Zilitinkevich<\/span><\/span>\u00a0(2015), Revisiting the Turbulent\u00a0<\/span><\/span>Prandtl<\/span><\/span>\u00a0Number in an Idealized Atmospheric Surface Layer,\u00a0<\/span><\/span>J\u00a0<\/span><\/span><\/i>Atmos<\/span><\/span><\/i>\u00a0Sci.\u00a0<\/span><\/span><\/i>72, 2394\u20132410.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                      4. Li, D.,<\/span><\/span><\/b>\u00a0T. Sun*, M. Liu,\u00a0<\/span><\/span>L. Yong, Z.\u00a0<\/span><\/span>Gao<\/span><\/span>, L. Wang (2015),<\/span><\/span>\u00a0Contrasting responses of urban and rural surface energy budgets to heat waves explain synergies between urban heat islands and heat waves,\u00a0<\/span><\/span>Environ. Res.\u00a0<\/span><\/span><\/i>Lett<\/span><\/span><\/i>.,<\/span><\/span><\/i>\u00a010, 054009 pdf<\/a><\/span><\/span><\/li>\n
                      5. Zhang, N., Z.\u00a0<\/span><\/span>Gao<\/span><\/span>*,<\/span><\/span>\u00a0Y. Liu, and D. Li<\/strong>\u00a0(2015), Sensitivity of Climate Models to the Critical Richardson Number in the Boundary Layer Parameterization,\u00a0<\/span><\/span>J.\u00a0<\/span><\/span><\/i>Geophys<\/span><\/span><\/i>. Res.: Atmospheres<\/span><\/span><\/i>, 120, 3310-3328.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                      6. Li, Y., Z.\u00a0<\/span><\/span>Gao<\/span><\/span>*,\u00a0<\/span><\/span>D. Li.,<\/span><\/span><\/b>\u00a0F. Chen, Y. Yang, L. Sun (2015), An update of non-iterative solutions for surface fluxes under unstable conditions,\u00a0<\/span><\/span>Bound. Layer\u00a0<\/span><\/span><\/i>Meteorol<\/span><\/span><\/i>.,<\/span><\/span><\/i>\u00a0156(3), 501-511. pdf<\/a><\/span><\/span><\/li>\n
                      7. Chen, C.,\u00a0<\/span><\/span>D. Li,<\/span><\/span><\/b>\u00a0Z.\u00a0<\/span><\/span>Gao<\/span><\/span>*, J. Tang, Y.\u00a0<\/span><\/span>Gao<\/span><\/span>, X.\u00a0<\/span><\/span>Guo<\/span><\/span>, L. Wang, and B. Wan (2015), Seasonal and inter-annual variations of sensible heat, water vapor and CO<\/span><\/span>2<\/span><\/span>\u00a0fluxes over a rice-wheat rotation system in North China Plain,\u00a0<\/span><\/span>Adv. Atmos. Sci.<\/span><\/span><\/i>\u00a032(10), 1365-1380. pdf<\/a><\/span><\/span><\/li>\n
                      8. Yang, W.,\u00a0<\/span><\/span>D. Li,<\/span><\/span><\/b>\u00a0T. Sun*, and G. H. Ni (2015), Saturation-excess and Infiltration-excess Runoff on Green Roofs,\u00a0<\/span><\/span>Ecol<\/span><\/span><\/i>\u00a0<\/span><\/span><\/i>Eng<\/span><\/span><\/i>,<\/span><\/span><\/i>\u00a074, 327\u2013336.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                      9. Cong, Z<\/span><\/span>.*<\/span><\/span>, X. Zhang,\u00a0<\/span><\/span>D. Li,<\/span><\/span><\/b>\u00a0H. Yang and D. Yang (2015), Understanding Hydrological Trends by Combining the\u00a0<\/span><\/span>Budyko<\/span><\/span>\u00a0Hypothesis and a Stochastic Soil Moisture model,\u00a0<\/span><\/span>Hydrol<\/span><\/span><\/i>. Sci. J.<\/span><\/span><\/i>\u00a060(1), 145-55. pdf<\/a><\/span><\/span><\/li>\n
                      10. Wang, L., Z.\u00a0<\/span><\/span>Gao<\/span><\/span>*, S. Miao, X.\u00a0<\/span><\/span>Guo<\/span><\/span>, T. Sun, M. Liu, and\u00a0<\/span><\/span>D. Li<\/span><\/span><\/b>\u00a0(2015), Contrasting Characteristics of the Surface Energy Balance between the Urban and Rural Areas of Beijing, China,\u00a0<\/span><\/span>Adv. Atmos. Sci.<\/span><\/span><\/i>\u00a032(4) 505-<\/span><\/span>14 .pdf<\/a><\/span><\/span><\/li>\n<\/ol>\n

                        2014<\/h3>\n
                          \n
                        1. Li, D<\/span><\/span><\/b>.*<\/span><\/span><\/b>,<\/span><\/span><\/b>\u00a0and E.\u00a0<\/span><\/span>Bou-Zeid<\/span><\/span>\u00a0(2014), Quality and Sensitivity of High-resolution Numerical Simulation of Urban Heat Islands,\u00a0<\/span><\/span>Environ. Res.\u00a0<\/span><\/span><\/i>Lett<\/span><\/span><\/i>.,<\/span><\/span><\/i>\u00a09(5), 055001.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                        2. Li, D<\/span><\/span><\/b>.*<\/span><\/span><\/b>,<\/span><\/span><\/b>\u00a0E.\u00a0<\/span><\/span>Bou-Zeid<\/span><\/span>, and M. Oppenheimer (2014), The Effectiveness of Cool and Green roofs as Urban Heat Island Mitigation Strategies,\u00a0<\/span><\/span>Environ. Res.\u00a0<\/span><\/span><\/i>Lett<\/span><\/span><\/i>.,<\/span><\/span><\/i>\u00a09(5), 055002.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                        3. Li, D<\/span><\/span><\/b>.*<\/span><\/span><\/b>\u00a0(2014), Assessing the Impact of\u00a0<\/span><\/span>Interannual<\/span><\/span>\u00a0Variability of Precipitation and Potential Evaporation on Evapotranspiration,\u00a0<\/span><\/span>Adv. Water\u00a0<\/span><\/span><\/i>Resour<\/span><\/span><\/i>.,\u00a0<\/span><\/span><\/i>70, 1-11.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                        4. Hu, X.,\u00a0<\/span><\/span>D. Li,<\/span><\/span><\/b>\u00a0H. Huang*, S.\u00a0<\/span><\/span>Shen<\/span><\/span>, and E.\u00a0<\/span><\/span>Bou-Zeid<\/span><\/span>\u00a0(2014), Modeling and Sensitivity Analysis of Transport and Deposition of Radionuclides From the Fukushima Daiichi Accident,\u00a0<\/span><\/span>Atmos. Chem. Phys.,<\/span><\/span><\/i>\u00a014, 11065-11092.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                        5. Wang, L.,\u00a0<\/span><\/span>D. Li*,<\/span><\/span><\/b>\u00a0Z.\u00a0<\/span><\/span>Gao<\/span><\/span>, T. Sun, X.\u00a0<\/span><\/span>Guo<\/span><\/span>, and E.\u00a0<\/span><\/span>Bou-Zeid<\/span><\/span>\u00a0(2014), Turbulent Transport of Momentum and Scalars Above an Urban Canopy,\u00a0<\/span><\/span>Bound. Layer\u00a0<\/span><\/span><\/i>Meteorol<\/span><\/span><\/i>.,<\/span><\/span><\/i>\u00a0150(3), 485-511.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                        6. Li, Y., Z.\u00a0<\/span><\/span>Gao<\/span><\/span>*,\u00a0<\/span><\/span>D. Li,<\/span><\/span><\/b>\u00a0L. Wang, and H. Wang (2014), An Improved Non-iterative Surface Layer Flux Scheme for Atmospheric Stable Stratification Conditions,\u00a0<\/span><\/span>Geosci<\/span><\/span><\/i>. Model Dev.,<\/span><\/span><\/i>\u00a07(2),\u00a0<\/span><\/span>515<\/span><\/span>-529.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                        7. Zhang, Y., Z.\u00a0<\/span><\/span>Gao<\/span><\/span>*,\u00a0<\/span><\/span>D. Li,<\/span><\/span><\/b>\u00a0Y. Li, N. Zhang, X. Zhao and J. Chen (2014), On the Computation Of Planetary Boundary Layer Height Using the Bulk Richardson Number Method,\u00a0<\/span><\/span>Geosci<\/span><\/span><\/i>. Model Dev.,<\/span><\/span><\/i>\u00a07, 2599-2611. pdf<\/a><\/span><\/span><\/li>\n<\/ol>\n

                          2013<\/h3>\n
                            \n
                          1. Li, D<\/span><\/span><\/b>.*<\/span><\/span><\/b>,<\/span><\/span><\/b>\u00a0M. Pan, Z. T. Cong, L. Zhang, and E. Wood (2013), Vegetation Control on Water and Energy\u00a0<\/span><\/span>Balance Within the\u00a0<\/span><\/span>Budyko<\/span><\/span>\u00a0Framework,\u00a0<\/span><\/span>Water\u00a0<\/span><\/span><\/i>Resour<\/span><\/span><\/i>. Res.,<\/span><\/span><\/i>\u00a049(2), 969-976.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                          2. Li, D<\/span><\/span><\/b>.*<\/span><\/span><\/b>,<\/span><\/span><\/b>\u00a0and E.\u00a0<\/span><\/span>Bou-Zeid<\/span><\/span>\u00a0(2013), Synergistic Interactions Between Urban Heat Islands and Heat Waves: the Impact in Cities Is Larger Than the Sum of Its Parts,\u00a0<\/span><\/span>J. Appl.\u00a0<\/span><\/span><\/i>Meteorol<\/span><\/span><\/i>.\u00a0<\/span><\/span><\/i>Climatol<\/span><\/span><\/i>.,<\/span><\/span><\/i>\u00a052(9), 2051-2064. pdf<\/a><\/span><\/span><\/li>\n
                          3. Li, D<\/span><\/span><\/b>.*<\/span><\/span><\/b>,<\/span><\/span><\/b>\u00a0E.\u00a0<\/span><\/span>Bou-Zeid<\/span><\/span>, M. L.\u00a0<\/span><\/span>Baeck<\/span><\/span>, S. Jessup, and J. A. Smith (2013), Modeling Land Surface Processes and Heavy Rainfall in Urban Environments: Sensitivity to Urban Surface Representations,\u00a0<\/span><\/span>J.\u00a0<\/span><\/span><\/i>Hydrometeorol<\/span><\/span><\/i>.,<\/span><\/span><\/i>\u00a014(4), 1098-1118.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                          4. Li, D<\/span><\/span><\/b>.*<\/span><\/span><\/b>,<\/span><\/span><\/b>\u00a0E.\u00a0<\/span><\/span>Bou-Zeid<\/span><\/span>, M.\u00a0<\/span><\/span>Barlage<\/span><\/span>, F. Chen, and J. A. Smith (2013), Development and Evaluation of a Mosaic Approach in the WRF-Noah Framework,\u00a0<\/span><\/span>J.\u00a0<\/span><\/span><\/i>Geophys<\/span><\/span><\/i>. Res.:<\/span><\/span><\/i>\u00a0<\/span><\/span><\/i>Atmospheres,<\/span><\/span><\/i>\u00a0118(21), 2013JD020657.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                          5. Katul<\/span><\/span>, G. G<\/span><\/span>.*<\/span><\/span>,\u00a0<\/span><\/span>D. Li,<\/span><\/span><\/b>\u00a0M.\u00a0<\/span><\/span>Chameki<\/span><\/span>, and E.\u00a0<\/span><\/span>Bou-Zeid<\/span><\/span>\u00a0(2013), Mean Scalar Concentration Profile in a Sheared and Thermally Stratified Atmospheric Surface Layer,\u00a0<\/span><\/span>Phys. Rev. E.,<\/span><\/span><\/i>\u00a087(2), 023004.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                          6. Zhao, Z<\/span><\/span>.*<\/span><\/span>, Z.\u00a0<\/span><\/span>Gao<\/span><\/span>,\u00a0<\/span><\/span>D. Li,<\/span><\/span><\/b>\u00a0X. Bi, C. Liu, and F. Liao (2013), Scalar Flux\u2013Gradient Relationships Under Unstable Conditions over Water in Coastal Regions,\u00a0<\/span><\/span>Bound. Layer\u00a0<\/span><\/span><\/i>Meteorol<\/span><\/span><\/i>.,<\/span><\/span><\/i>\u00a0148(3), 495-516.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n<\/ol>\n

                            2012<\/h3>\n
                              \n
                            1. Li, D<\/span><\/span><\/b>.*<\/span><\/span><\/b>,<\/span><\/span><\/b>\u00a0G. G.\u00a0<\/span><\/span>Katul<\/span><\/span>, and E.\u00a0<\/span><\/span>Bou-Zeid<\/span><\/span>\u00a0(2012), Mean Velocity and Temperature Profiles in a Sheared\u00a0<\/span><\/span>Diabatic<\/span><\/span>\u00a0Turbulent Boundary Layer,\u00a0<\/span><\/span>Phys. Fluids,<\/span><\/span><\/i>\u00a024(10).<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n
                            2. Li, D<\/span><\/span><\/b>.*<\/span><\/span><\/b>,<\/span><\/span><\/b>\u00a0E.\u00a0<\/span><\/span>Bou-Zeid<\/span><\/span>, and H. De Bruin (2012),\u00a0<\/span><\/span>Monin<\/span><\/span>\u2013<\/span><\/span>Obukhov<\/span><\/span>\u00a0Similarity Functions for the Structure Parameters of Temperature and Humidity,\u00a0<\/span><\/span>Bound. Layer\u00a0<\/span><\/span><\/i>Meteorol<\/span><\/span><\/i>.,<\/span><\/span><\/i>\u00a0145(1), 45-67.<\/span><\/span>\u00a0pdf<\/a><\/span><\/li>\n<\/ol>\n

                              2011<\/h3>\n
                                \n
                              1. Li, D.,<\/span><\/span><\/b>\u00a0and E.\u00a0<\/span><\/span>Bou-Zeid<\/span><\/span>* (2011), Coherent Structures and the Dissimilarity of Turbulent Transport of Momentum and Scalars in the Unstable Atmospheric Surface Layer,\u00a0<\/span><\/span>Bound. Layer\u00a0<\/span><\/span><\/i>Meteorol<\/span><\/span><\/i>.,<\/span><\/span><\/i>\u00a0140(2), 243-262. pdf<\/a><\/span><\/span><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

                                Bold: group members; underline: visiting students\/scholars; * corresponding author 2025 Kermarrec G*, J. P. Montillet, D. Li (2025) Uncertainty in urban climate modeling: Bridging the gap between science and policy. PLOS Clim 4(10): e0000743. pdf Smith, I. A.*, D. Li, D. K. Fork, G. A. Wellenius, and L. R. Hutyra, (2025): Integrated tree canopy expansion […]<\/p>\n","protected":false},"author":11624,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/efm\/wp-json\/wp\/v2\/pages\/9"}],"collection":[{"href":"https:\/\/sites.bu.edu\/efm\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/efm\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/efm\/wp-json\/wp\/v2\/users\/11624"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/efm\/wp-json\/wp\/v2\/comments?post=9"}],"version-history":[{"count":50,"href":"https:\/\/sites.bu.edu\/efm\/wp-json\/wp\/v2\/pages\/9\/revisions"}],"predecessor-version":[{"id":991,"href":"https:\/\/sites.bu.edu\/efm\/wp-json\/wp\/v2\/pages\/9\/revisions\/991"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/efm\/wp-json\/wp\/v2\/media?parent=9"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}