Publications

2024

Xu, L., H. Zeng, N. Lin, Y. Yang, Q. Guo and H. V. Poor (2024). Entropic Value-at-Risk Constrained Optimal Power Flow Considering Distribution Network Outages During Extreme Events. in IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2024.3498435.

Xu, L., N. Lin, D. Xi, K. Feng and H. V. Poor (2024). Hazard Resistance-Based Spatiotemporal Risk Analysis for Distribution Network Outages During Hurricanes. IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2024.3469168.

Xi, D., Lin, N., Jing, R., Harr, P. and Oppenheimer, M. (2024). Uncertainties Inherent from Large-Scale Climate Projections in the Statistical Downscaling Projection of North Atlantic Tropical Cyclone Activity. Journal of Climate, https://doi.org/10.1175/JCLI-D-23-0475.1

Begmohammadi, A., Wirasaet, D., Lin, N., Dietrich, J. C., Bolster, D., & Kennedy, A. B. (2024). Subgrid modeling for compound flooding in coastal systems. Coastal Engineering Journal, 1–18. https://doi.org/10.1080/21664250.2024.2373482

Hintermaier, A., N. Lin (2024). An Investigation of Climate Change Effects on Design Wind Speeds along the US East and Gulf Coasts. ASCE J. of Structural Engineering. https://doi.org/10.1061/JSENDH.STENG-1189

Lockwood, J., Oppenheimer, M., Lin, N., and Jesse Gourevitch (2024), Socioeconomic distributional impacts of evaluating flood mitigation activities using equity-weighted benefit-cost analysis, Environmental Research Letters. DOI 10.1088/1748-9326/ad4ef8

Yin, J., Yang, Y., Yu, D. Lin, N. et al. (2024). Strategic storm flood evacuation planning for large coastal cities enables more effective transfer of elderly populations. Nature Water. https://doi.org/10.1038/s44221-024-00210-z

Lockwood, J. W.,  Lin, N.,  Gori, A., &  Oppenheimer, M. (2024).  Increasing flood hazard posed by tropical cyclone rapid intensification in a changing climate. Geophysical Research Letters,  51, e2023GL105624. https://doi.org/10.1029/2023GL105624

Begmohammadi, A., C. Y. Blackshaw, N. Lin, A. Gori, E. Wallace,  K. Emanuel, J.  P. Donnelly, 2024. Integrating Climatological-Hydrodynamic Modeling and Paleohurricane Records to Assess Storm Surge Risk. J. of Geophysical Research-Oceans. https://doi.org/10.1029/2023JC020354

Lockwood, J. W., T. Loridan, N. Lin, M. Oppenheimer, and N. Hannah, 2024. A Machine Learning Approach to Model Over-Ocean Tropical Cyclone Precipitation. J. Hydrometeor.,  25, 207–221,  https://doi.org/10.1175/JHM-D-23-0065.1.

Xu, L., Feng, K., Lin, N. et al. Resilience of renewable power systems under climate risks. Nature Reviews Electrical Engineering, 1, 53–66 (2024). https://doi.org/10.1038/s44287-023-00003-8

2023

Li, Q., Ramaswami, A. and Lin, N., 2023. Exploring income and racial inequality in preparedness for Hurricane Ida (2021): insights from digital footprint data. Environmental Research Letters, 18(12), p.124021.

Schneider, T., Behera, S., Boccaletti, G., Deser, C., Emanuel, K., Ferrari, R., Leung, L.R., Lin, N., Müller, T., Navarra, A. and Ndiaye10, O., 2023. Harnessing AI and Computing to Advance Climate Modeling and Prediction. Nature Climate Change. 13, 887–889 (2023). https://doi.org/10.1038/s41558-023-01769-3

Xi, D., Lin, N., Nadal-Caraballo, N.C. and Yawn, M.C., 2023. Assessing North Atlantic Tropical Cyclone Rainfall Hazard Using Engineered-Synthetic Storms and a Physics-Based Tropical Cyclone Rainfall Model. Journal of Applied Meteorology and Climatology. https://doi.org/10.1175/JAMC-D-22-0131.1

Ceferino, L. and Lin, N. (2023). Hurricane risk of solar generation in the United States. Natural Hazards Review, 24(4), p.04023029. https://doi.org/10.1061/NHREFO.NHENG-17

Gori, A., Lin, N., Schenkel, B. and Chavas, D., (2023). North Atlantic tropical cyclone size and storm surge reconstructions from 1950-present. Journal of Geophysical Research: Atmospheres, https://doi.org/10.1029/2022JD037312

Xi, D., Lin, N. & Gori, A (2023). Increasing sequential tropical cyclone hazards along the US East and Gulf coasts. Nature Climate Change. https://doi.org/10.1038/s41558-023-01595-7

Lin, N., Xi, D. (2023). Research Briefing: Likelihood of back-to-back tropical cyclone hazards is increasing. Nature Climate Change. https://doi.org/10.1038/s41558-023-01596-6

2022

Gori, A., N. Lin (2022). Projecting compound flood hazard under climate change with physical models and joint probability methods. Earth’s Future. doi: 10.1029/2022EF003097

Lockwood, J. W., N. Lin, M. Oppenheimer, and C.-Y. Lai (2022). Using neural networks to predict hurricane storm surge and to assess the sensitivity of surge to storm characteristics. Journal of Geophysical Research: Atmospheres, 127, e2022JD037617. doi: 10.1029/2022JD037617

Ceferino, L., N. Lin, D. Xi (2022). Bayesian Updating of Solar Panel Fragility Curves and Implications of Higher Panel Strength for Solar Generation Resilience. Reliability Engineering & System Safety. doi:10.1016/j.ress.2022.108896

Zhang, F., N. Lin, H. Kunreuther (2022). Benefits of and strategies to update premium rates in the U.S. national flood insurance program considering climate change. Risk Analysis. doi: 10.111/risa.14048

Schenkel,B, D. Chavas, N. Lin, T. Knutson, G. Vecchi, A. Brammer (2022). North Atlantic tropical cyclone outer size and structure remain unchanged by the late 21st century. Journal of Climate. doi: 10.1175/JCLI-D-22-0066.1

Xi. D., Wang, S., N. Lin. Analyzing relationships between tropical cyclone intensity and rain rate over the ocean using numerical simulations. Journal of Climate. doi: 10.1175/JCLI-D-22-0141.1

Wang, S., N. Lin, A. Gori. (2022). Investigation of tropical cyclone wind models with application to storm tide simulations. Journal of Geophysical Research: Atmospheres 127 (17).  doi:10.1029/2021JD036359.

Huang, M., Q. Wang, M. Liu, N. Lin, Y. Wang, R. Jing, J. Sun, H. Murakami & W. Lou (2022). Increasing typhoon impact and economic losses due to anthropogenic warming in Southeast China. Scientific Report. doi: 10.1038/s41598-022-17323-8

Feng, K., W. Shao, and N. Lin (2022). Social-Geographical Patterns of Rescue Requests During Hurricane Harvey. Findings, August. https://doi.org/10.32866/001c.37903.

Feng, K., N. Lin (2022). Modeling and analyzing the traffic flow during evacuation in Hurricane Irma (2017). Transportation Research Part D: Transport and Environment. doi: 10.1016/j.trd.2022.103412

Xi, D. and N. Lin (2022). Investigating the physical drivers for the increasing tropical cyclone rainfall hazard in the United States. Geophysical Research Letters. doi: 10.1029/2022GL099196

Feng, K., M. Ouyang, N. Lin (2022). Tropical cyclone-blackout-heatwave compound hazard resilience in a changing climate. Nature Communications, https://doi.org/10.1038/s41467-022-32018-4

Mayo, T. and N. Lin (2022). Climate change impacts to the coastal flood hazard in the northeastern United States. Weather and Climate Extremes. https://doi.org/10.1016/j.wace.2022.100453

Xi, D. and N. Lin (2022). Understanding uncertainties in tropical cyclone rainfall hazard modeling using synthetic storms. J. of Hydrometeorology. https://doi.org/10.1175/JHM-D-21-0208.1

Lockwood, J.W., M. Oppenheimer, N. Lin, R.E. Kopp, G.A. Vecchi and A. Gori (2022). Correlation between sea‐level rise and aspects of future tropical cyclone activity in CMIP6 models. Earth’s Future, https://doi.org/10.1029/2021EF002462 .

Gori, A., Lin, D. Xi, K. Emanuel (2022). Tropical cyclone climatology change greatly exacerbates US extreme rainfall-surge hazard. Nature Climate Change. 12, 171–178 (2022). https://doi.org/10.1038/s41558-021-01272-7

Ceferino, L., N. Lin, D. Xi (2022). Stochastic modeling of solar irradiance during hurricanes. Stoch Environ Res Risk Assess (2022). https://doi.org/10.1007/s00477-021-02154-2

2021

Xi, D. and N. Lin (2021). Sequential Landfall of Tropical Cyclones in the United States: From Historical Records to Climate Projections. Geophysical Research Letters. doi: 10.1029/2021GL094826 (AGU Featured Research)

Jing, R., N. Lin, K. Emanuel, G. Vecchi, and T.R. Knutson (2021). A Comparison of Tropical Cyclone Projections in a High-resolution Global Climate Model and from Downscaling by Statistical and Statistical-deterministic Methods. Journal of Climate, pp.1-48. doi: 10.1175/JCLI-D-21-0071.1

Task Committee on Future Weather and Climate Extremes, Tye, M.R. and Giovannettone, J.P., 2021, October. Impacts of Future Weather and Climate Extremes on United States Infrastructure: Assessing and Prioritizing Adaptation Actions. Reston, VA: American Society of Civil Engineers.

Huang, M., Q. Wang, Q. Li, R. Jing, N. Lin, L. Wang (2021). Typhoon wind hazard estimation by full-track simulation with various wind intensity models. Journal of Wind Engineering and Industrial Aerodynamics,
doi: 10.1016/j.jweia.2021.104792.

Yin, J., N. Lin, Y. Yang, W. Pringle, J. Tan, J. Westerink, D. Yu (2021). Hazard assessment for typhoon-induced coastal flooding and inundation in Shanghai, China. Journal of Geophysical Research: Oceans. doi: 10.1029/2021JC017319

Feng, K and N. Lin (2021). Reconstructing and analyzing the traffic flow during evacuation in Hurricane Irma (2017). Transportation Research Part D: Transport and Environment. doi: 10.1016/j.trd.2021.102788

Kousky, C. H. Kunreuther, S. Xian, and N. Lin (2021). Adapting our flood risk policies to changing conditions. Risk Analysis. doi:10.1111/risa.13692

2020

Gori, A., N. Lin, and D. Xi (2020). Tropical cyclone compound flood hazard assessment: from investigating drivers to quantifying extreme water levels. Earth’s Future. 

Marsooli, R. and N. Lin (2020). Impacts of climate change on hurricane flood hazards in Jamaica Bay, New York. Climatic Change. doi: 10.1007/s10584-020-02932-x

Xi, D., N. Lin, J. Smith (2020). Evaluation of a physics-based tropical cyclone rainfall model for risk assessment. J. of Hydrometeorology. doi: 10.1175/JHM-D-20-0035.1

Yin, J., S. Jonkman, N. Lin, D. Yu, J. Aerts, R. Wilby, M. Pan, E. Wood, J. Bricker, Q. Ke, Z. Zeng, Q. Zhao, J. Ge, and J. Wang (2020). Flood risks in sinking delta cities: time for a re‐evaluation? Earth’s Future. doi: 10.1029/2020EF001614

Feng, K. N. Lin, S. Xian, M.V. Chester (2020). Can we evacuate from hurricanes with electric vehicles? Transportation Research Part D: Transport and Environment. doi: 10.1016/j.trd.2020.102458

Yu, D. J. Yin, R. Wilby, S. Lane, J. Aerts, N. Lin, M. Liu, H. Yuan, J. Chen, C. Prudhomme, M. Guan, A. Baruch, W. Johnson, X. Tang, L. Yu, S. Xu (2020). Disruption of emergency response to vulnerable populations during floods. Nature Sustainability. doi: 10.1038/s41893-020-0516-7

Gori, A., N. Lin, J. Smith (2020). Assessing compound flooding from landfalling tropical cyclones on the North Carolina coast. Water Resources Research. doi: 10.1029/2019WR026788

Jing, R. and N. Lin (2020). An environment‐dependent probabilistic tropical cyclone model. Journal of Advances in Modeling Earth Systems. doi: 10.1029/2019MS001975.

Xu, H., N. Lin, M. Huang, and W. Lou (2020). Design tropical cyclone wind speed when considering climate change. ASCE J. of Structural Engineering. doi: 10.1061/(ASCE)ST.1943-541X.0002585

Sajjad, M., J.C.L. Chan, N. Lin (2020). Incorporating natural habitats into coastal risk assessment frameworks. Environmental Science & Policy. doi: 10.1016/j.envsci.2020.01.004

Sajjad, M., N. Lin, J.C.L. Chan (2020). Spatial heterogeneities of current and future hurricane flood risk along the U.S. Atlantic and Gulf coasts. Science of The Total Environment. doi: 10.1016/j.scitotenv.2020.136704

2019

Jing, R. and N. Lin (2019). Tropical cyclone intensity evolution modeled as a dependent hidden Markov process. J. of Climate. doi: 10.1175/JCLI-D-19-0027.1

Marsooli, R., N. Lin, K. Emanuel, and K. Feng (2019). Climate change exacerbates hurricane flood hazards along US Atlantic and Gulf Coasts in spatially varying patterns. Nature Communications. doi: 10.1038/s41467-019-11755-z

Lin, N. (2019). Tropical cyclones and heatwaves. Nature Climate Change. doi: 10.1038/s41558-019-0537-2

Lin, N., R. Marsooli, and B. Colle (2019). Storm surge return levels induced by the mid-to-late-twenty-first-century extratropical cyclones in the Northeastern United States. Climatic Change, doi: 10.1007/s10584-019-02431-8

Shao, W, K. Feng, and N. Lin (2019). Predicting support for flood mitigation based on flood insurance purchase behavior. Environmental Research Letters, doi: 10.1088/1748-9326/ab195a

Mayo, T. and N. Lin (2019). The Effect of the Surface Wind Field Representation in the Operational Storm Surge Model of the National Hurricane Center. Atmosphere, 10(4), p.193. doi: 10.3390/atmos10040193

Orton, P., N. Lin, V. Gornitz, B. Colle, J. Booth, K. Feng, M. Buchanan, M. Oppenheimer, L. Patrick (2019). New York City Panel on Climate Change 2019 Report Chapter 4: Coastal Flooding. Annals of the New York Academy of Sciences, doi: 10.1111/nyas.14011

Gornitz, V., M. Oppenheimer, R. Kopp, P. Orton, M. Buchanan, N. Lin, R. Horton (2019). New York City Panel on Climate Change 2019 Report Chapter 3: Sea Level Rise. Annals of the New York Academy of Sciences, doi: 10.1111/nyas.14006

Muis, S., N. Lin, M. Verlaan, H. C. Winsemius, P. J. Ward, J. C. J. H. Aerts (2019). Spatiotemporal patterns of extreme sea levels along the western North-Atlantic coasts. Scientific Reports. doi: 10.1038/s41598-019-40157-w

Yin, J., Q. Zhao, D. Yu, N. Lin, J. Kubanek, G. Ma, M. Liu, A. Pepe (2019). Long-term flood-hazard modeling for coastal areas using InSAR measurements and a hydrodynamic model: The case study of Lingang New City, Shanghai. J. of Hydrology. doi: 10.1016/j.jhydrol.2019.02.015

2018

Schenkel, B.A., N. Lin, D. Chavas, G.A. Vecchi, M. Oppenheimer and A. Brammer (2018). Lifetime Evolution of Outer Tropical Cyclone Size and Structure as Diagnosed from Reanalysis and Climate Model Data. J. of Climate. doi: 10.1175/JCLI-D-17-0630.1

Xian, S., K. Feng, N. Lin, R. Marsooli, D. Chavas, J. Chen, and A. Hatzikyriakou (2018). Brief communication: Rapid assessment of damaged residential buildings in the Florida Keys after Hurricane Irma. Nat. Hazards Earth Syst. Sci., 18, 2041-2045. doi: 10.5194/nhess-18-2041-2018

Marsooli, R. and N. Lin (2018). Numerical modeling of historical storm tides and waves and their interactions along the U.S. East and Gulf Coasts. J. Geophys. Res-Ocean, doi: 10.1029/2017JC013434

Lu, P., N. Lin, K. Emanuel, D. Chavas, and J. Smith (2018). Assessing hurricane rainfall mechanisms using a physics-based model: Hurricanes Isabel (2003) and Irene (2011). J. Atmos. Sci., doi: 10.1175/JAS-D-17-0264.1

Huang, M, Q. Li, H. Xu, W. Lou, and N. Lin (2018). Non-stationary statistical modeling of extreme wind speed series with exposure correction. Wind and Structures, doi: 10.12989/was.2018.26.3.129

Hatzikyriakou, A. and N. Lin (2018). Assessing the vulnerability of structures and residential communities to storm surge: an analysis of flood impact during Hurricane Sandy. Frontiers in Built Environment, doi: 10.3389/fbuil.2018.00004

Xian, S., J. Yin, N. Lin, and M. Oppenheimer (2018). Influence of risk factors and past events on flood resilience in coastal megacities: comparative analysis of NYC and Shanghai. Science of the Total Environment, doi: 10.1016/j.scitotenv.2017.07.229

2017

Yin, J., D. Yu, N. Lin, and R. Wilby (2017). Evaluating the cascading impacts of sea level rise and coastal flooding on emergency response spatial accessibility in Lower Manhattan, New York City. Journal of Hydrology, doi: 10.1016/j.jhydrol.2017.10.067

Garnera, A.J., M.E. Mann, K.A. Emanuel, R.E. Kopp, N. Lin, R.B. Alley, B.P. Horton, R.M. DeConto, J.P. Donnelly, and D. Pollard (2017). Climate change impact on New York City’s coastal flood hazard: Increasing flood heights from the preindustrial to 2300 CE. Proceedings of the National Academy of Sciences, doi: 10.1073/pnas.1703568114

Schenkel, B., N. Lin, D. Chavas, M. Oppenheimer, and A. Brammer (2017) Evaluating outer tropical cyclone size in reanalysis datasets using QuikSCAT data. J. Climate, doi: 10.1175/JCLI-D-17-0122.1

Hatzikyriakou, A. and N. Lin (2017). Simulating storm surge waves for structural vulnerability estimation and flood hazard mapping. Natural Hazards, doi: 10.1007/s11069-017-3001-5

Tomiczek, T., A. Kennedy, Y. Zhang, M. Owensby, M. E. Hope, N. Lin, and A. Flores (2017). Hurricane damage classification methodology and fragility functions derived from Hurricane Sandy’s effects in coastal New Jersey. J Waterw Port Coast Ocean Eng, doi: 10.1061/(ASCE)WW.1943-5460.0000409

Shao, W., S. Xian, N. Lin, and M. Small (2017). A sequential model to link contextual risk, perception and public support for flood adaptation policy. Water Research, doi: 1016/j.watres.2017.05.072

Lin, N., R. Jing, Y. Wang, E. Yonekura, J. Fan, and L. Xue (2017). A statistical investigation of the dependence of tropical cyclone intensity change on the surrounding environment. Monthly Weather Review, doi: 10.1175/MWR-D-16-0368.1

Xian, S., N. Lin, and H. Kunreuther (2017). Optimal house elevation for reducing flood-related losses. Journal of Hydrology, doi: 10.1016/j.jhydrol.2017.02.057

Lin, N. and E. Shullman (2017). Dealing with hurricane surge flooding in a changing environment: part I. Risk assessment considering storm climatology change, sea level rise, and coastal development. Stochastic Environmental Research and Risk Assessment, doi: 10.1007/s00477-016-1377-5

Lu, P., J.A. Smith, and N. Lin (2017). Spatial Characterization of Flood Magnitudes over the Drainage Network of the Delaware River Basin. Journal of Hydrometeorology, doi: 10.1175/JHM-D-16-0071.1

2016

2014

Lickley, M.J., N. Lin, and H.D. Jacoby (2014). Analysis of coastal protection under rising flood risk. Climate Risk Management. doi: 10.1016/j.crm.2015.01.001

Lin, N., P. Lane, K.A. Emanuel, R.M. Sullivan, and J.P. Donnelly (2014). Heightened hurricane surge risk in northwest Florida revealed from climatological-hydrodynamic modeling and paleorecord reconstruction. J. Geophys. Res-Atmos. 119(14): 8606-8623. doi:10.1002/2014JD021584 (Highlighted in Research Spotlight of EOS).

Aerts, J.C.J.H., W.J. Wouter Botzen, K. Emanuel, N. Lin, H. de Moel, and E.O. Michel-Kerjan (2014). Evaluating flood resilience strategies for coastal megacities. Science 344(6183): 473-475. doi:10.1126/science.1248222 (Lloyd’s Science of Risk Prize).

Lin, N., K. Emanuel, and E. Vanmarcke (2014). Physically-based hurricane risk analysis. In Extreme Natural Hazards, Disaster Risks and Societal Implications. Ismail-Zadeh, A., Fucugaughi, J., Kijko, A., Takeuchi, K. and Zaliapin, I. (eds.), Cambridge University Press. ISBN: 9781107033863.

Yeo, D., N. Lin, and E. Simiu (2014). Estimation of hurricane wind speed probabilities: Application to New York City and other coastal locations. J. Struct. Eng. 140(6). doi:10.1061/(Asce)St.1943-541x.0000892.

2013

Aerts, J.C.J.H., N. Lin, W.J.W. Botzen, K. Emanuel, and H. de Moel (2013). Low-probability flood risk modeling for New York City. Risk Anal. 33(5): 772-788. doi:10.1111/Risa.12008 (Best Paper Award for 2013 in Risk Analysis).

Vanmarcke, E., N. Lin, and S.-C. Yau (2013). Quantitative risk analysis of damage to structures during windstorms: some multi-scale and system-reliability effects. Struct. Infrastruct. Eng. 10(10): 1311-1319. doi:10.1080/15732479.2013.791325.

Letchford, C., N. Lin, and J. Holmes (2013). Windborne debris in horizontal winds and applications to impact testing. In Advanced Structural Wind Engineering. Tamura, Y. and Kareem, A. (eds.), Springer. ISBN: 9784431543374.

Huang, M.F., W.J. Lou, C.M. Chan, N. Lin, and X.T. Pan (2013). Peak distributions and peak factors of wind-induced pressure processes on tall buildings. J. Eng. Mech. 139(12): 1744-1756. doi:10.1061/(Asce)Em.1943-7889.0000616.

2012

Lin, N., K. Emanuel, M. Oppenheimer, and E. Vanmarcke (2012). Physically based assessment of hurricane surge threat under climate change. Nat. Clim. Change 2(6): 462-467. doi: 10.1038/Nclimate1389. (Online attention ranked 1st of the 113 tracked articles of a similar age in Nature Climate Change)

Lin, N. and D. Chavas (2012). On hurricane parametric wind and applications in storm surge modeling. J. Geophys. Res-Atmos. 117. doi:10.1029/2011jd017126.

Lou, W., M. Huang, M. Zhang, and N. Lin (2012). Experimental and zonal modeling for wind pressures on double-skin facades of a tall building. Energ. Buildings 54(0): 179-191. doi:10.1016/j.enbuild.2012.06.025.

Klima, K., N. Lin, K. Emanuel, M.G. Morgan, and I. Grossmann (2012). Hurricane modification and adaptation in Miami-Dade County, Florida. Environ. Sci. Technol. 46(2): 636-642. doi:10.1021/Es202640p.

2011

Yau, S.C., N. Lin, and E. Vanmarcke (2011). Hurricane damage and loss estimation using an integrated vulnerability model. Nat. Hazards Rev. 12(4): 184-189. doi:10.1061/(Asce)Nh.1527-6996.0000035.

2010

Lin, N., K.A. Emanuel, J.A. Smith, and E. Vanmarcke (2010). Risk assessment of hurricane storm surge for New York City. J. Geophys. Res-Atmos. 115. doi:10.1029/2009jd013630.

Lin, N., J.A. Smith, G. Villarini, T.P. Marchok, and M.L. Baeck (2010). Modeling extreme rainfall, winds, and surge from Hurricane Isabel (2003). Weather Forecast 25(5): 1342-1361. doi:10.1175/2010waf2222349.1.

Lin, N. and E. Vanmarcke (2010). Windborne debris risk analysis – Part I. Introduction and methodology. Wind. Struct. 13(2): 191-206.

Lin, N., E. Vanmarcke, and S.C. Yau (2010). Windborne debris risk analysis – Part II. Application to structural vulnerability modeling. Wind. Struct. 13(2): 207-220.

2008

Lin, N. and E. Vanmarcke (2008). Windborne debris risk assessment. Probabilist Eng Mech 23(4): 523-530. doi:10.1016/j.probengmech.2008.01.010.

2007

Lin, N., J. Holmes, and C. Letchford (2007). Trajectories of wind-borne debris in horizontal winds and applications to impact testing. J. Struct. Eng. 133(2): 274-282. doi:10.1061/(ASCE)0733-9445(2007)133:2(274).

2006

Lin, N., C. Letchford, and J. Holmes (2006). Investigation of plate-type windborne debris. Part I. Experiments in wind tunnel and full scale. J. Wind. Eng. Ind. Aerod. 94(2): 51-76. doi:10.1016/j.jweia.2005.12.005.

Holmes, J.D., C.W. Letchford, and N. Lin (2006). Investigations of plate-type windborne debris. Part II: Computed trajectories. J. Wind. Eng. Ind. Aerod. 94(1): 21-39. doi:10.1016/j.jweia.2005.10.002.

2005

Lin, N., C. Letchford, Y. Tamura, B. Liang, and O. Nakamura (2005). Characteristics of wind forces acting on tall buildings. J. Wind. Eng. Ind. Aerod. 93(3): 217-242. doi:10.1016/j.jweia.2004.12.001.

2003

Lin N., B. Liang, and Y. Tamura (2003). Experimental investigation on local wind force coefficients and power spectra of high-rise buildings (in Chinese). J. Vibrat. Eng. 16(4): 409-414.