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Scientific Publications
by
Hurricane Research Division personnel


    2021

    • Aberson, S.D. Serial correlation of tropical cyclone track and intensity forecasts. NOAA Technical Memorandum, OAR-AOML-107, 6 pp., https://doi.org/10.25923/m0ah-bh98 2021

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    • Bell, G.D., M. Rosencrans, E.S. Blake, C.W. Landsea, H. Wang, S.B. Goldenberg, and R.J. Pasch. The tropics: Tropical cyclones—Atlantic basin. In State of the Climate in 2020, J. Blunden, and T. Boyer (eds.). Bulletin of the American Meteorological Society, 102(8):S224-S230, https://doi.org/10.1175/BAMS-D-21-0080.1 2021
    • Bucci, L.R., S.J. Majumdar, R. Atlas, G.D. Emmitt, and S. Greco. Understanding the response of tropical cyclone structure to the assimilation of synthetic wind profiles. Monthly Weather Review, 149(6):2031-2047, https://doi.org/10.1175/MWR-D-20-0153.1 2021

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    • Chen, N., T. Tang, J.A. Zhang, L.-M. Ma, and H. Yu. On the distribution of helicity in the tropical cyclone boundary layer from dropsonde composites. Atmospheric Research, 249:105298, https://doi.org/10.1016/j.atmosres.2020.105298 2021

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    • Chen, X., and G. H. Bryan. Role of advection of parameterized turbulence kinetic energy in tropical cyclone simulations. Journal of the Atmospheric Sciences, https://doi.org/10.1175/JAS-D-21-0088.1 2021

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    • Chen, X., G.H. Bryan, J.A. Zhang, J.J. Cione, and F.D. Marks. A framework for simulating the tropical-cyclone boundary layer using large-eddy simulation and its use in evaluating PBL parameterizations. Journal of the Atmospheric Sciences, https://doi.org/10.1175/JAS-D-20-0227.1 2021

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    • Chen, X., J.-F. Gu, J.A. Zhang, F.D. Marks, R.F. Rogers, and J.J. Cione. Boundary layer recovery and precipitation symmetrization preceding rapid intensification of tropical cyclones under shear. Journal of the Atmospheric Sciences, 78(5):1523-1544, https://doi.org/10.1175/JAS-D-20-0252.1 2021

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    • Chen, X., M. Xue, B. Zhou, J. Feng, J.A. Zhang, and F.D. Marks. Effect of scale-aware planetary boundary layer schemes on tropical cyclone intensification and structural changes in the gray zone. Monthly Weather Review, 149(7):2079-2095, https://doi.org/10.1175/MWR-D-20-0297.1 2021

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    • Christophersen, H.W., B.A. Dahl, J.P. Dunion, R.F. Rogers, F.D. Marks, R. Atlas, and W.J. Blackwell. Impact of TROPICS radiances on tropical cyclone prediction in an OSSE. Monthly Weather Review, 149(7):2279-2298, https://doi.org/10.1175/MWR-D-20-0339.1 2021

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    • Cucurull, L., and S.P.F. Casey. Improved impacts in observing system simulation experiments of radio occultation observations as a result of model and data assimilation changes. Monthly Weather Review, 149(1):207-220, https://doi.org/10.1175/MWR-D-20-0174.1 2021

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    • DeMaria, M., J.L. Franklin, M.J. Onderlinde, and J. Kaplan. Operational forecasting of tropical cyclone rapid intensification at the National Hurricane Center. Atmosphere, 12(6):683, https://doi.org/10.3390/atmos12060683 2021

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    • Domingues, R., M. Le Henaff, G. Halliwell, J.A. Zhang, F. Bringas, P. Chardon, H.-S. Kim, J. Morell, and G. Goni. Ocean conditions and the intensification of three major Atlantic hurricanes of 2017. Monthly Weather Review, 149(5):1265-1286, https://doi.org/10.1175/MWR-D-20-0100.1 2021

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    • Gopalakrishnan, S., A. Hazelton, and J.A. Zhang. Improving hurricane boundary layer parameterization scheme based on observations. Earth and Space Science, 8(3):e2020EA001422 , https://doi.org/10.1029/2020EA001422 2021

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    • Green, A., S.G. Gopalakrishnan, G.J. Alaka, and S. Chiao. Understanding the role of mean and eddy momentum transport in the rapid intensification of Hurricane Irma (2017) and Hurricane Michael (2018). Atmosphere, 12(4):492, https://doi.org/10.3390/atmos12040492 2021

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    • Hazelton, A., G. Alaka, L. Cowan, M. Fischer, and S. Gopalakrishnan. Understanding the processes causing the early intensification of Hurricane Dorian through an ensemble of the Hurricane Analysis and Forecast System (HAFS). Atmosphere, 12(1):93, https://doi.org/10.3390/atmos12010093 2021

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    • Hazelton, A., Z. Zhang, B. Liu, J. Dong, G. Alaka, W. Wang, T. Matchok, A. Menra, S. Gopalakrishnan, X. Zhang, M. Bender, V. Tallapragada, and F. Marks. 2019 Atlantic hurricane forecasts from the Global-Nested Hurricane Analysis and Forecast System (HAFS): Composite statistics and key events. Weather and Forecasting, 36(2):519-538, https://doi.org/10.1175/WAF-D-20-0044.1 2021

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    • Homeyer, C.R., A.O. Fierro, B.A. Schenkel, A.C. Didlake, G.M. McFarquhar, J. Hu, A.V. Ryzhkov, J.B. Basara, A.M. Murphy, and J. Zawislak. Polarimetric signatures in landfalling tropical cyclones. Monthly Weather Review, 149(1):131-154, https://doi.org/10.1175/MWR-D-20-0111.1 2021

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    • Huang, F., J.L. Garrison, S.M. Leidner, B. Annane, R.N. Hoffman, G. Grieco, and A. Stoffelen. A forward model for data assimilation of GNSS ocean reflectometry delayed-Doppler maps. IEEE Transactions on Geoscience and Remote Sensing, 59(3):2643-2656, https://doi.org/10.1109/TGRS.2020.3002801 2021

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    • Huang, F., J.L. Garrison, S.M. Leidner, G. Grieco, A. Stoffelen, B. Annane, and R.N. Hoffman. Assimilation of GNSS reflectometry delay-Doppler maps with a two-dimensional variational analysis of global ocean surface winds. Quarterly Journal of the Royal Meteorological Society, 147(737):2469-2489, https://doi.org/10.1002/qj.4034 2021

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    • Huang, J., Z. Zou, Q. Zeng, P. Li, J. Song, L. Wu, J.A. Zhang, S. Li, and P-W. Chan. The turbulent structure of the marine atmospheric boundary layer during and before a cold front. Journal of the Atmospheric Sciences, 78(3):863-875, https://doi.org/10.1175/JAS-D-19-0314.1 2021

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    • Jaimes de la Cruz, B., L.K. Skay, J.B. Wadler, and J.E. Rudzin. On the hyperbolicity of the bulk air-sea heat flux functions: Insights into the efficiency of air-sea moisture disequilibrium for tropical cyclone intensification. Monthly Weather Review, 149(5):1517-1534, https://doi.org/10.1175/MWR-D-20-0324.1 2021

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    • Kalina, E.A., M.K. Biswas, J.A. Zhang, and K.M. Newman. Sensitivity of an idealized tropical cyclone to the configuration of the Global Forecast System–eddy diffusivity mass flux planetary boundary layer scheme. Atmosphere, 12(2):284, https://doi.org/10.3390/atmos12020284 2021

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    • Kren, A C., and R.A. Anthes. Estimating error variances of a microwave sensor and dropsondes aboard the Global Hawk in hurricanes using the three-cornered hat method. Journal of Atmospheric and Oceanic Technology, 38(2):197-208, https://doi.org/10.1175/JTECH-D-20-0044.1 2021

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    • Kurosawa, K., and J. Poterjoy. Data assimilation challenges posed by nonlinear operators: A comparative study of ensemble and variational filters and smoothers. Monthly Weather Review, 149(7):2369-2389, https://doi.org/10.1175/MWR-D-20-0368.1 2021

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    • Le Hénaff, M., R. Domingues, G. Halliwell, J.A. Zhang, H.-S. Kim, M. Aristizabal, T. Miles, S. Glenn, and G. Goni. The role of the Gulf of Mexico ocean conditions in the intensification of Hurricane Michael (2018). Journal of Geophysical Research–Oceans, 126(5):e2020JC016969, https://doi.org/10.1029/2020JC016969 2021

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    • Lin, I.-I., R.F. Rogers, H.-C. Huang, Y.-C. Liao, D. Herndon, J.-Y. Yu, Y.-T. Chang, J.A. Zhang, C.M. Patricola, I.-F. Pun, and C.-C. Lien. A tale of two rapidly-intensifying supertyphoons: Hagibis (2019) and Haiyan (2013). Bulletin of the American Meteorological Society, 102(9):E1645-E1664, https://doi.org/10.1175/BAMS-D-20-0223.1 2021

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    • Ma, Z., Z. Li, J. Li, T.J. Schmit, L. Cucurull, R. Atlas, and B. Sun Enhance low level temperature and moisture profiles through combining NUCAPS, ABI observations, and RTMA analysis. Earth and Space Science, 8(6):e2020EA001402, https://doi.org/10.1029/2020EA001402 2021

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    • Mueller, M.J., B. Annane, S.M. Leidner, and L. Cucurull. Impact of CYGNSS-derived winds on tropical cyclone forecasts in a global and regional model. Monthly Weather Review, https://doi.org/10.1175/MWR-D-21-0094.1 2021

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    • Poterjoy, J., G.J. Alaka, and H.R. Winterbottom. The irreplaceable utility of sequential data assimilation for numerical weather prediction system development: Lessons learned from an experimental HWRF system. Weather and Forecasting, 36(2):661-677, https://doi.org/10.1175/WAF-D-20-0204.1 2021

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    • Rogers, R.F. Recent advances in our understanding of tropical cyclone intensity change processes from airborne observations. Atmosphere, 12(5):650, https://doi.org/10.3390/atmos12050650 2021

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    • Ryglicki, D.R., C.S. Velden, P.D. Reasor, D. Hodyss, and J.D. Doyle. Observations of atypical rapid intensification characteristics in Hurricane Dorian (2019). Monthly Weather Review, 149(7):2131-2150, https://doi.org/10.1175/MWR-D-20-0413.1 2021

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    • Scott, S.R., J.P. Dunion, M.L. Olson, and D.A. Gay. Lead isotopes in North American precipitation record the presence of Saharan dust. Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-20-0212.1 2021

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    • Shen, B.-W., R.A. Pielke, X. Zeng, J.-J. Baik, S. Faghih-Naini, J. Cui, and R. Atlas. Is weather chaotic? Coexistence of chaos and order within a generalized Lorenz model. Bulletin of the American Meteorological Society, 102(1):E148-E158, https://doi.org/10.1175/BAMS-D-19-0165.1 2021

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    • Wadler, J.B., D.S. Nolan, J.A. Zhang, and L.K. Shay. Thermodynamic characteristics of downdrafts in tropical cyclones as seen in idealized simulations of different intensities. Journal of the Atmospheric Sciences, https://doi.org/10.1175/JAS-D-21-0006.1 2021

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    • Wadler, J.B., J.A. Zhang, R.F. Rogers, B. Jaimes, and L.K. Shay. The rapid intensification of Hurricane Michael (2018): Storm structure and the relationship to environmental and air-sea interactions. Monthly Weather Review, 149(1):245-267, https://doi.org/10.1175/MWR-D-20-0145.1 2021

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    • Wang, C., G. Zheng, X. Li, Q. Xu, B. Liu, and J.A. Zhang. Tropical cyclone intensity estimation from geostationary satellite imagery using deep convolutional neural networks. IEEE Transactions on Geoscience and Remote Sensing, https://doi.org/10.1109/TGRS.2021.3066299 2021

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    • Wang, X., H. Jiang, X. Li, and J.A. Zhang. Observed shear-relative rainfall asymmetries associated with landfalling tropical cyclones. Advances in Meteorology, 2021:4676713, https://doi.org/10.1155/2021/4676713 2021

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    • Wu, D., F. Zhang, X. Chen, A. Ryzhkov, K. Zao, M.R. Kumjian, X. Chen, and P-W. Chan. Evaluation of microphysics schemes in tropical cyclones using polarimetric radar observations: Convective precipitation in an outer rainband. Monthly Weather Review, 149(4):1055-1068, https://doi.org/10.1175/MWR-D-19-0378.1 2021

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    • Zawislak, J., R.F. Rogers, S.D. Aberson, G.J. Alaka, G. Alvey, A. Aksoy, L. Bucci, J. Cione, N. Dorst, J. Dunion, M. Fischer, J. Gamache, S. Gopalakrishnan, A. Hazelton, H.M. Holbach, J. Kaplan, H. Leighton, F. Marks, S.T. Murillo, P. Reasor, K. Ryan, K. Sellwood, J.A. Sippel, and J.A. Zhang. Accomplishments of NOAA’S airborne hurricane field program and a broader future approach to forecast improvement. Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-20-0174.1 2021

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    • Zhang, B., Z. Zhu, W. Perrie, J. Tang, and J.A. Zhang. Estimating tropical cyclone wind structure and intensity from spaceborne radiometer and synthetic aperture radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14:4043-4050, https://doi.org/10.1109/JSTARS.2021.3065866 2021

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    • Zhang, Z., J.A. Zhang, G.J. Alaka, K. Wu, A. Mehra, and V. Tallapragada. A statistical analysis of high frequency track and intensity forecasts from NOAA’s Operational Hurricane Weather Research and Forecast (HWRF) modeling system. Monthly Weather Review, https://doi.org/10.1175/MWR-D-21-0021.1 2021

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    • Zhu, P., A. Hazelton, Z. Zhang, F. Marks, and V. Tallapragada. The role of eyewall turbulent transport in the pathway to intensification of tropical cyclones. Journal of Geophysical Research-Atmospheres, 126(17):e2021JD034983, https://doi.org/10.1029/2021JD034983 2021

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