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HAFS Related Publications

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Bin Liu edited this page Oct 23, 2024 · 5 revisions

Journal articles, books, chapters, reports, manuals and dissertations

2024
  • Eusebi, R., G. A. Vecchi, C.-Y. Lai, and M. Tong, 2024: Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learning. Communications Earth & Environment, 5, 8, https://doi.org/10.1038/s43247-023-01144-2.
  • Gramer, L. J., J. Steffen, M. Aristizabal Vargas, and H.-S. Kim, 2024: The impact of coupling a dynamic ocean in the Hurricane Analysis and Forecast System. Frontiers in Earth Science, 12, https://doi.org/10.3389/feart.2024.1418016.
  • Gramer, L. J., and B. Annane, 2024: Influence of CYGNSS L2 wind data on tropical cyclone analysis and forecasts in the coupled HAFS/HYCOM system. Frontiers in Earth Science, 12, https://doi.org/10.3389/feart.2024.1418158.
  • Peng, J., Z. Zhang, W. Wang, R. Panda, B. Liu, Y. Weng, A. Mehra, V. Tallapragada, X. Zhang, S. Gopalakrishnan, W. Komaromi, and A. Poyer, 2024: HAFS ensemble forecast in aws cloud. Frontiers in Earth Science, 12, https://doi.org/10.3389/feart.2024.1396612.
  • Ramstrom, W., X. Zhang, K. Ahern, and S. Gopalakrishnan, 2024: Implementation of storm-following nest for the next generation Hurricane Analysis and Forecast System (HAFS). Frontiers in Earth Science, 12, https://doi.org/10.3389/feart.2024.1419233.
  • Gao, K., L. Harris, M. Tong, L. Zhou, J.-H. Chen, and K.-Y. Cheng, 2024: A flexible tropical cyclone vortex initialization technique for GFDL SHiELD. Frontiers in Earth Science, 12, https://doi.org/10.3389/feart.2024.1396390.
  • Wang, W., J. Han, J. Shin, X. Chen, A. Hazelton, L. Zhu, H.-S. Kim, X. Li, B. Liu, Q. Liu, J. Steffen, R. Sun, W. Zheng, Z. Zhang, and F. Yang, 2024: Physics schemes in the first version of NCEP operational hurricane analysis and forecast system (HAFS). Frontiers in Earth Science, 12, https://doi.org/10.3389/feart.2024.1379069.
  • Kim, H.-S., B. Liu, B. Thomas, D. Rosen, W. Wang, A. Hazelton, Z. Zhang, X. Zhang, and A. Mehra, 2024: Ocean component of the first operational version of Hurricane Analysis and Forecast System: Evaluation of hybrid coordinate ocean model and hurricane feedback forecasts. Frontiers in Earth Science, 12, https://doi.org/10.3389/feart.2024.1399409.
  • Aristizábal Vargas, M. F., H.-S. Kim, M. Le Hénaff, T. Miles, S. Glenn, and G. Goni, 2024: Evaluation of the ocean component on different coupled hurricane forecasting models using upper-ocean metrics relevant to air-sea heat fluxes during hurricane dorian (2019). Frontiers in Earth Science, 12, https://doi.org/10.3389/feart.2024.1342390.
  • Firl, G., L. Bernardet, L. Xue, D. Swales, L. Fowler, C. Peverly, M. Xue, and F. Yang, 2024: Envisioning the future of community physics. Bulletin of the American Meteorological Society, 105, E639-E644, https://doi.org/10.1175/BAMS-D-24-0001.1.
  • Alaka, G. J., J. A. Sippel, Z. Zhang, H.-S. Kim, F. D. Marks, V. Tallapragada, A. Mehra, X. Zhang, A. Poyer, and S. G. Gopalakrishnan, 2024: Lifetime performance of the operational hurricane weather research and forecasting model (HWRF) for north atlantic tropical cyclones. Bulletin of the American Meteorological Society, 105, E932-E961, https://doi.org/10.1175/BAMS-D-23-0139.1.
  • Chen, X., and F. D. Marks, 2024: Parameterizations of boundary layer mass fluxes in high-wind conditions for tropical cyclone simulations. J Atmos Sci, 81, 77-91, https://doi.org/10.1175/JAS-D-23-0086.1.
  • Bernardet, L., L. Bengtsson, P. A. Reinecke, F. Yang, M. Zhang, K. Hall, J. Doyle, M. Martini, G. Firl, and L. Xue, 2024: Common community physics package: Fostering collaborative development in physical parameterizations and suites. Bulletin of the American Meteorological Society, 105, E1490-E1505, https://doi.org/10.1175/BAMS-D-23-0227.1.
  • Han, J., J. Peng, W. Li, W. Wang, Z. Zhang, F. Yang, and W. Zheng, 2024: Updates in the NCEP GFS PBL and convection models with environmental wind shear effect and modified entrainment and detrainment rates and their impacts on the GFS hurricane and cape forecasts. Weather and Forecasting, 39, 679-688, https://doi.org/10.1175/WAF-D-23-0134.1.
  • Hazelton, A., X. Chen, G. J. Alaka, G. R. Alvey, S. Gopalakrishnan, and F. Marks, 2024: Sensitivity of HAFS-b tropical cyclone forecasts to planetary boundary layer and microphysics parameterizations. Weather and Forecasting, 39, 655-678, https://doi.org/10.1175/WAF-D-23-0124.1.
  • Abdi, D. S., and I. Jankov, 2024: Accelerating atmospheric physics parameterizations using graphics processing units. The International Journal of High Performance Computing Applications, 38, 282-296, https://doi.org/10.1177/10943420241238711.
  • Deehan, M., I. Renta, S. Yaary, J. Fillingham, S. Sarkar, G. Matlock, L. Newcomb, E. Bayler, J. Ghirardelli, M. Grasso, M. Harmon, M. Liddel, F. Arzayus, J. Wielgus, K. Schepel, J. Schattel, M. Yencho, P. DiGiacomo, S. Butz, C. Sims, and S. Davis, 2024: 2023 NOAA science report. Technical Memorandum, https://doi.org/10.25923/x0x7-f622.
  • Johnson, A. A., 2024: Asymmetric boundary layer dynamics in tropical cyclones. PhD, University of Leeds, https://etheses.whiterose.ac.uk/34892/.
  • Lu, X., and X. Wang, 2024: Simultaneous multiscale 4denvar with scale dependent localization (sdl) in Hurricane Analysis and Forecast System (HAFS). Journal of Geophysical Research: Atmospheres, 129, e2023JD040550, https://doi.org/10.1029/2023JD040550.
  • Lyu, X., and X. Wang, 2024: The impact of high-density airborne observations and atmospheric motion vector observation assimilation on the prediction of rapid intensification of hurricane matthew (2016). Atmosphere, 15, 395, https://www.mdpi.com/2073-4433/15/4/395.
  • Mariotti, A., D. C. Bader, S. E. Bauer, G. Danabasoglu, J. Dunne, B. Gross, L. R. Leung, S. Pawson, W. R. Putman, V. Ramaswamy, G. A. Schmidt, and V. Tallapragada, 2024: Envisioning U.S. Climate predictions and projections to meet new challenges. Earth's Future, 12, e2023EF004187, https://doi.org/10.1029/2023EF004187.
  • Morgan, M., D. Koch, B. Gross, D. Carlis, P. Burke, H. Tolman, J. Vogt, J. Mahoney, J. Kazil, J. Dunne, C. Kongragunta, J. Carmen, M. Huang, K. Garrett, J. Pica, Y.-J. Kim, C. Stawitz, H. Townsend, D. Barrie, Y. Jung, S. Gopalakrishnan, H.-S. Kim, C. Zhang, M. Poti, A. Mariotti, M. Supernaw, M. Brooks, M. Srinivasan, and R. Dempsey, 2024: NOAA modeling strategy: Strategic plan 2024-2033. Program & Policy Document, https://doi.org/10.25923/qggz-jb43.
  • Shin, J., Z. Zhang, B. Liu, Y. Weng, Q. Liu, A. Mehra, and V. Tallapragada, 2024: The implementation of cloud and vertical velocity relocation/cycling system in the vortex initialization of the HAFS. Atmosphere, 15, 1006, https://doi.org/10.3390/atmos15081006.
  • Trabing, B. C., A. B. Penny, J. Martinez, and C. Fritz, 2024: Are forecasts of the tropical cyclone radius of maximum wind skillful? Geophysical Research Letters, 51, e2024GL109663, https://doi.org/10.1029/2024GL109663.
  • Worthen, D., J. Wang, R. Montuoro, D. Heinzeller, B. Li, G. Theurich, U. Turuncoglu, D. Rosen, D. Jovic, B. Curtis, R. Mahajan, H. Lei, A. Richert, A. Chawla, J. Wang, J. Meixner, A. Abdolali, M. Masarik, L. Pan, M. Barlage, B. Liu, M. Vertenstein, T. Craig, R. Benson, T. Robinson, T. Clune, W. Jiang, N. Barton, G. Vandenberghe, M. Potts, J. Kim, N. Perlin, C. Book, L. Bernardet, F. Yang, S. Sun, H.-S. Kim, B. Baker, J. Huang, C.-H. Jeon, and I. Stajner, 2024: Coupling infrastructure capability in UFS weather model. NCEP Office Note, https://doi.org/10.25923/dvv2-3g03.
2023
  • Wang, W., Z. Zhang, J. P. Cangialosi, M. Brennan, L. Cowan, P. Clegg, H. Takuya, I. Masaaki, A. K. Das, M. Mohapatra, M. Sharma, J. A. Knaff, J. Kaplan, T. Birchard, J. D. Doyle, J. Heming, J. Moskaitis, W. A. Komaromi, S. Ma, C. Sampson, L. Wu, and E. Blake, 2023a: A review of recent advances (2018–2021) on tropical cyclone intensity change from operational perspectives, part 2: Forecasts by operational centers. Tropical Cyclone Research and Review, 12, 50-63, https://doi.org/10.1016/j.tcrr.2023.05.003.
  • Zhang, Z., W. Wang, J. D. Doyle, J. Moskaitis, W. A. Komaromi, J. Heming, L. Magnusson, J. P. Cangialosi, L. Cowan, M. Brennan, S. Ma, A. K. Das, H. Takuya, P. Clegg, T. Birchard, J. A. Knaff, J. Kaplan, M. Mohapatra, M. Sharma, I. Masaaki, L. Wu, and E. Blake, 2023: A review of recent advances (2018–2021) on tropical cyclone intensity change from operational perspectives, part 1: Dynamical model guidance. Tropical Cyclone Research and Review, 12, 30-49, https://doi.org/10.1016/j.tcrr.2023.05.004.
  • Hazelton, A., G. J. Alaka, L. Gramer, W. Ramstrom, S. Ditchek, X. Chen, B. Liu, Z. Zhang, L. Zhu, W. Wang, B. Thomas, J. Shin, C.-K. Wang, H.-S. Kim, X. Zhang, A. Mehra, F. Marks, and S. Gopalakrishnan, 2023a: 2022 real-time hurricane forecasts from an experimental version of the hurricane analysis and forecast system (hafsv0.3s). Frontiers in Earth Science, 11, 10.3389/feart.2023.1264969.
  • Wang, W., J. Han, F. Yang, J. Steffen, B. Liu, Z. Zhang, A. Mehra, and V. Tallapragada, 2023b: Improving the intensity forecast of tropical cyclones in the Hurricane Analysis and Forecast System. Weather and Forecasting, 38, 2057-2075, https://doi.org/10.1175/WAF-D-23-0041.1.
  • Hazelton, A., G. J. Alaka, M. S. Fischer, R. Torn, and S. Gopalakrishnan, 2023b: Factors influencing the track of hurricane dorian (2019) in the west atlantic: Analysis of a HAFS ensemble. Monthly Weather Review, 151, 175-192, https://doi.org/10.1175/MWR-D-22-0112.1.
  • Chen, J. H., A. Clark, G. Ge, L. Harris, K. Hoogewind, A. Jensen, H. Lopez, J. Mouallem, B. Zavadoff, X. Zhang, and L. Zhou, 2023: 2022-2023 global-nest initiative activity summary: Recent results and future plan. NOAA technical memorandum OAR GFDL 2023-001, https://doi.org/10.25923/yx20-3k04.
  • Vogt, J., A. Jones, J. Wheeler, G. Petro, C. Domanti, F. Adimi, and K. Blackman, 2023: Unifying Innovations in Forecasting Capabilities Workshop (UIFCW) 2023 report. https://doi.org/10.25923/0nma-bf19.
2022
  • Alaka, G. J., X. Zhang, and S. G. Gopalakrishnan, 2022: High-definition hurricanes: Improving forecasts with storm-following nests. Bulletin of the American Meteorological Society, 103, E680-E703, https://doi.org/10.1175/BAMS-D-20-0134.1.
  • Hazelton, A., K. Gao, M. Bender, L. Cowan, G. J. Alaka, A. Kaltenbaugh, L. Gramer, X. Zhang, L. Harris, T. Marchok, M. Morin, A. Mehra, Z. Zhang, B. Liu, and F. Marks, 2022: Performance of 2020 real-time atlantic hurricane forecasts from high-resolution global-nested hurricane models: HAFS-globalnest and GFDL t-SHiELD. Weather and Forecasting, 37, 143-161, https://doi.org/10.1175/WAF-D-21-0102.1.
  • Zawislak, J., R. F. Rogers, S. D. Aberson, G. J. Alaka, G. R. 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, 2022: Accomplishments of noaa’s airborne hurricane field program and a broader future approach to forecast improvement. Bulletin of the American Meteorological Society, 103, E311-E338, https://doi.org/10.1175/BAMS-D-20-0174.1.
  • Hazelton, A., J. A. Zhang, and S. Gopalakrishnan, 2022: Comparison of the performance of the observation-based hybrid edmf and edmf-tke PBL schemes in 2020 tropical cyclone forecasts from the global-nested Hurricane Analysis and Forecast System. Weather and Forecasting, 37, 457-476, https://doi.org/10.1175/WAF-D-21-0124.1.
  • Alvey III, G. R., and A. Hazelton, 2022: How do weak, misaligned tropical cyclones evolve toward alignment? A multi-case study using the Hurricane Analysis and Forecast System. Journal of Geophysical Research: Atmospheres, 127, e2022JD037268, https://doi.org/10.1029/2022JD037268.
  • Wang, W., B. Liu, Z. Zhang, A. Mehra, and V. Tallapragada, 2022: Improving low-level wind simulations of tropical cyclones by a regional HAFS. 2022 WMO WGNE Blue Book, Section 4, p9, https://wgne.net/bluebook/uploads/2022/docs/04_Wang_Weiguo_TropicalCycloneSimulation.pdf.
2021
  • Gao, K., L. Harris, L. Zhou, M. Bender, and M. Morin, 2021: On the sensitivity of hurricane intensity and structure to horizontal tracer advection schemes in fv3. J Atmos Sci, 78, 3007-3021, https://doi.org/10.1175/JAS-D-20-0331.1.
  • Hazelton, A., Z. Zhang, B. Liu, J. Dong, G. Alaka, W. Wang, T. Marchok, A. Mehra, S. Gopalakrishnan, X. Zhang, M. Bender, V. Tallapragada, and F. Marks, 2021a: 2019 atlantic hurricane forecasts from the global-nested Hurricane Analysis and Forecast System: Composite statistics and key events. Weather and Forecasting, 36, 519-538, https://doi.org/10.1175/WAF-D-20-0044.1.
  • Gopalakrishnan, S., A. Hazelton, and J. A. Zhang, 2021: Improving hurricane boundary layer parameterization scheme based on observations. Earth and Space Science, 8, e2020EA001422, https://doi.org/10.1029/2020EA001422.
  • Hazelton, A., G. J. Alaka, L. Cowan, M. Fischer, and S. Gopalakrishnan, 2021b: Understanding the processes causing the early intensification of hurricane dorian through an ensemble of the Hurricane Analysis and Forecast System (HAFS). Atmosphere, 12, 93, https://www.mdpi.com/2073-4433/12/1/93.
  • Zhu, P., A. Hazelton, Z. Zhang, F. D. Marks, and V. Tallapragada, 2021: The role of eyewall turbulent transport in the pathway to intensification of tropical cyclones. Journal of Geophysical Research: Atmospheres, 126, e2021JD034983, https://doi.org/10.1029/2021JD034983.
2020
  • Hazelton, A. T., X. Zhang, S. Gopalakrishnan, W. Ramstrom, F. Marks, and J. A. Zhang, 2020: High-resolution ensemble hfv3 forecasts of hurricane michael (2018): Rapid intensification in shear. Monthly Weather Review, 148, 2009-2032, https://doi.org/10.1175/MWR-D-19-0275.1.
  • Dong, J., B. Liu, Z. Zhang, W. Wang, A. Mehra, A. T. Hazelton, H. R. Winterbottom, L. Zhu, K. Wu, C. Zhang, V. Tallapragada, X. Zhang, S. Gopalakrishnan, and F. Marks, 2020: The evaluation of real-time Hurricane Analysis and Forecast System (HAFS) stand-alone regional (sar) model performance for the 2019 atlantic hurricane season. Atmosphere, 11, 617, https://www.mdpi.com/2073-4433/11/6/617.
  • Dong, J., B. Liu, Z. Zhang, W. Wang, L. Zhu, C. Zhang, K. Wu, A. Hazelton, X. Zhang, A. Mehra, and V. Tallapragada, 2020: Hurricane Analysis and Forecast System (HAFS) stand-alone regional (sar) model: Real-time experiments for 2019 north atlantic hurricane season. 2020 WMO WGNE Blue Book, Section 5, p4, https://wgne.net/bluebook/uploads/2020/docs/05_Dong_Jili_HurricaneForecasts.pdf.
  • Harris, L., L. Zhou, S.-J. Lin, J.-H. Chen, X. Chen, K. Gao, M. Morin, S. Rees, Y. Sun, M. Tong, B. Xiang, M. Bender, R. Benson, K.-Y. Cheng, S. Clark, O. D. Elbert, A. Hazelton, J. J. Huff, A. Kaltenbaugh, Z. Liang, T. Marchok, H. H. Shin, and W. Stern, 2020: GFDL SHiELD: A unified system for weather-to-seasonal prediction. Journal of Advances in Modeling Earth Systems, 12, e2020MS002223, https://doi.org/10.1029/2020MS002223.
  • Liu, Q., X. Zhang, M. Tong, Z. Zhang, B. Liu, W. Wang, L. Zhu, B. Zhang, X. Xu, S. Trahan, L. Bernardet, A. Mehra, and V. Tallapragada, 2020: Vortex initialization in the NCEP operational hurricane models. Atmosphere, 11, 968, https://www.mdpi.com/2073-4433/11/9/968.
2019

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