Analysis of ocean dynamics during the impact of Hurricane Matthew using ocean-atmosphere coupling
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Keywords:
ocean-atmosphere coupling, Hurricane Matthew, oceanic dynamic
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Abstract
The main goal of this investigation is to improve the understanding of ocean-atmosphere coupling during hurricanes. The present work involves the integration of the ocean-atmosphere coupled components of the Coupled Ocean-Atmosphere-Wave-Sediment Transport Modeling System in the Very Short Term Prediction System (SisPI). Three experiments are performed: First, using a dynamic sea surface temperature, consistent with the daily updated atmospheric model Weather Research and Forecast (SisPI); second, using the Regional Oceanic Modeling System and third, using a dynamic coupling between the atmospheric and the oceanic models. The coupled system improves the tracks of the hurricane simulations respect to the SisPI. The use of the oceanic model allows a more detailed representation of the sea surface temperature. Using the coupled model, a more precise diurnal cycle of the surface net heat fluxes is obtained.
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ProveyerL. V., Sierra LorenzoM., Cruz RodríguezR. C., & WarnerJ. C. (1). Analysis of ocean dynamics during the impact of Hurricane Matthew using ocean-atmosphere coupling. Revista Cubana De Meteorología, 28(1). Retrieved from http://rcm.insmet.cu/index.php/rcm/article/view/608
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References
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Shchepetkin, A. F. & McWilliams, J. C. 2005. “The regional oceanic modeling system (roms): a split-explicit, free-surface, topography-following-coordinate oceanic model”. Ocean Modelling, 9(4): 347-404. DOI: 10.1016/j.ocemod.2004.08.002.
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Sierra Lorenzo, M.; Borrajero Montejo, I.; Ferrer Hernández, A. L.; Morfa Ávalos, Y.; Morejón Loyola, Y. & Hinojosa Fernández, M. 2017. Estudios de sensibilidad del SisPI a cambios de la PBL, la cantidad de niveles verticales y, las parametrizaciones de microfísica y cúmulos, a muy alta resolución. Informe de Resultado Científico. 26 p., DOI:10.13140/RG.2.2.29136.00005 .Available:, [Consulted: March 14, 2021].
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Ballester, M. & Rubiera, J. 2016. Temporada ciclónica de 2016 en el Atlántico Norte. Hurricane Season Report, Website of the Cuban Institute of Meteorology. Available:
Chen, S. S.; Price, J. F.; Zhao, W.; Donelan, M. A. & Walsh, E. J. 2007. “The CBLAST-Hurricane Program and the Next- Generation Fully Coupled Atmosphere-Wave-Ocean Models for Hurricane Research and Prediction”. Bulletin of the American Meteorology Society, 88: 311-317. DOI:10.1175/BAMS-88-3-311.
Egbert, G. D. & Erofeeva, S. Y. 2002. “Efficient inverse modeling of barotropic ocean tides”. Journal of Atmospheric and Oceanic Technology, 19(2): 183-204, ISSN: 07390572, DOI: 10.1175/1520-0426(2002)019<0183:EIMOBO>2.0.CO;2.
Gemmill, W.; Katz, B. & Li, X. 2007. Daily Real-Time, Global Sea Surface Temperature - High-Resolution Analysis: RTG_SST_HR. Technical Note 260, NOAA/NWS/NCEP/MMAB, 39 pp. Available:
Grell, G. A. & Freitas, S. R. 2014. “A scale and aerosol aware stochastic convective parameterization for weather and air quality modeling”. Atmospheric Chemistry and Physics, 14: 5233-5250, DOI: 10.5194/acp-14-5233-2014.
Haidvogel, D. B.; Arango, H.; Budgell, W. P.; Cornuelle, B. D.; Curchitser, E.; Di Lorenzo, E.; Fennel, K.; Geyer, W. R.; Hermann, A. J.; Lanerolle, L.; Levin, J.; McWilliams, J. C.; Miller, A. J.; Moore, A. M.; Powell, T. M.; Shchepetkin, A. F.; Sherwood, C. R.; Signell, R. P.; Warner, J. C. & Wilkin, J. 2008. “Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System”. Journal of Computational Physics, 227(7): 3595-3624, ISSN: 10902716, DOI: 10.1016/j.jcp.2007.06.016.
Hegermiller, C. A.; Warner, J. C.; Olabarrieta, M. & Sherwood, C. R. 2019. “Wave - Current Interaction between Hurricane Matthew Wave Fields and the Gulf Stream”. Journal of Physical Oceanography, 49: 2883-2900, DOI: 10.1175/JPO-D-19-0124.1.
Hunter, J. D. 2007. “Matplotlib: A 2D Graphics Environment”. Computing in Science & Engineering, 9: 90-95. DOI: 10.1109/MCSE.2007.55
Jones, P. W. 1999. “First-and second-order conservative remapping schemes for grids in spherical coordinates”. Monthly Weather Review, 127(9): 2204-2210. DOI: 10.1175/15200493(1999)127%3C2204:FASOCR%3E2.0.CO;2
Kim, H. S.; Lozano, C.; Tallapragada, V.; Iredell, D.; Sheinin, D.; Tolman, H. L.; Gerald, V. M. & Sims, J. 2014. “Performance of ocean simulations in the coupled HWRF-HYCOM model”. Journal of Atmospheric and Oceanic Technology, 31(2): 545-559, ISSN: 07390572, DOI: 10.1175/JTECH-D-13-00013.1.
Landsea, C. W. & Franklin, J. L. 2013. “Atlantic hurricane database uncertainty and presentation of a new database format”. Monthly Weather Review, 141(10): 3576-3592, ISSN: 00270644, DOI: 10.1175/MWR-D-12-00254.1.
Larson, J.; Jacob, R. & Ong, E. 2005. “The model coupling toolkit: A new Fortran90 toolkit for building multiphysics parallel coupled models”. International Journal of High Performance Computing Applications, 19(3): 277-292, ISSN: 10943420, DOI: 10.1177/1094342005056115.
Lee, C. Y. & Chen, S. S. 2012. “Symmetric and asymmetric structures of hurricane boundary layer in coupled atmosphere-wave-ocean models and observations”. Journal of the Atmospheric Sciences, 69(12): 3576-3594, ISSN: 00224928, DOI: 10.1175/JAS-D-12-046.1.
Lim, J.-O. J.; Hong, S. & Dudhia, J. 2004. “The WFR Single-Moment Microphysics Scheme and Its Evaluation of the Simulation of Mesoscale Convective Systems”. In: 20th Conference on Weather Analysis and Forecasting / 16th Conference on Numerical Weather Prediction, USA: American Meteorological Society, pp. 1-15. Available:
Maturi, E.; Harris, A.; Merchant, C.; Mittaz, J.; Potash, B.; Meng, W. & Sapper, J. 2008. “Noaa’s sea surface temperature products from operational geostationary satellites”. Bulletin of the American Meteorological Society, 89(12): 1877-1888, Available:
Michalakes, J.; Dudhia, J.; Gill, D.; Henderson, T.; Klemp, J.; Skamarock, W. & Wang, W. 2005. “The weather research and forecast model: software architecture and performance”. In: Eleventh ECMWF Workshop on the Use of High Performance Computing in Meteorology, World Scientific, pp. 156-168, DOI: 10.1142/9789812701831_0012. , [Consulted: May 12, 2021].
Millman, K. J. & Aivazis, M. 2011. “Python for Scientists and Engineers”. Computing in Science & Engineering, 13: 9-12. DOI: 10.1109/MCSE.2011.36.
Mitrani Arenal, I.; Pérez Bello, A.; Cabrales Infante, J.; Povea Pérez, Y.; Hernández González, M. & Díaz Rodríguez, O. O. 2019. “Coastal flood forecast in Cuba , due to hurricanes , using a combination of numerical models”. Revista Cubana de Meteorología, 25(2): 121-138, DOI: E-ISSN: 0864-151X.
Nelson, J.; He, R.; Warner, J. C. & Bane, J. 2014. “Air-sea interactions during strong winter extratropical storms”. Ocean Dynamics, 64(9): 1233-1246, ISSN: 16167228, DOI: 10.1007/s10236-014-0745-2.
Olabarrieta, M.; Warner, J. C.; Armstrong, B.; Zambon, J. B. & He, R. 2012. “Ocean-atmosphere dynamics during Hurricane Ida and Nor’Ida: An application of the coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system”. Ocean Modelling, 43-44: 112-137, ISSN: 14635003, DOI: 10.1016/j.ocemod.2011.12.008.
Oliphant, T. E. 2007. “Python for Scientific Computing”. Computing in Science & Engineering, 9: 10-20. DOI: 10.1109/MCSE.2007.58.
Pant, V. & Prakash, K. R. 2020. “Response of Air - Sea Fluxes and Oceanic Features to the Coupling of Ocean - Atmosphere - Wave During the Passage of a Tropical Cyclone”. Pure and Applied Geophysics, DOI: 10.1007/s00024-020-02441-z.
Peng, S. Q.; Liu, D. L.; Sun, Z. B. & Li, Y. N. 2012. “Recent advances in regional air-sea coupled models”. Science China Earth Sciences, 55(9): 1391-1405, ISSN: 16747313, DOI: 10.1007/s11430-012-4386-3
Pérez Bello, A.; Mitrani Arenal, I. & Díaz Rodríguez, O. O. 2014. Sistema de Predicción Numérica Océano-Atmósfera para la República de Cuba. Informe de Resultado Científico, 33 p., ISBN: 9788578110796, [Consulted: June 14, 2021].
Pérez-Bello, A.; Mitrani-Arenal, I.; Díaz-Rodríguez, O. O.; Wettre, C. & Hole, L. R. 2019. “A numerical prediction system combining ocean , waves and atmosphere models in the Inter-American Seas and Cuba”. Revista Cubana de Meteorología, 25(1): 109-120, ISSN: 2664-0880, Available:
Renault, L.; Chiggiato, J.; Warner, J. C.; Gomez, M.; Vizoso, G. & Tintoré, J. 2012. “Coupled atmosphere-ocean-wave simulations of a storm event over the Gulf of Lion and Balearic Sea”. Journal of Geophysical Research: Oceans, 117(9): 1-25, ISSN: 21699291, DOI: 10.1029/2012JC007924.
Shchepetkin, A. F. & McWilliams, J. C. 2005. “The regional oceanic modeling system (roms): a split-explicit, free-surface, topography-following-coordinate oceanic model”. Ocean Modelling, 9(4): 347-404. DOI: 10.1016/j.ocemod.2004.08.002.
Sierra Lorenzo, M.; Ferrer Hernández, A. L.; Hernández Valdés, R.; González Mayor, Y.; Cruz Rodríguez, R. C.; Borrajero Montejo, I. & Rodríguez Genó, C. F. 2014. Sistema automático de predicción a mesoescala de cuatro ciclos diarios. Informe de Resultado Científico. 71 p., DOI: 10.13140/RG.2.1.2888.1127 Available:
Sierra Lorenzo, M.; Borrajero Montejo, I.; Hinojosa Fernández, M.; Roque Carrasco, A.; Genó Rodríguez, C. F.; Vázquez Proveyer, L. & Ferrer Hernández, A. L. 2016. “Herramientas de detección , reporte y evaluación para salidas de modelos de pronóstico numérico desarrollado en Cuba Detection , reporting and evaluation tools for outputs from numerical forecast models developed in Cuba Introducción”. Revista Cubana de Meteorología, 22(2): 150-163, DOI: ISSN: 0864-151X.
Sierra Lorenzo, M.; Borrajero Montejo, I.; Ferrer Hernández, A. L.; Morfa Ávalos, Y.; Morejón Loyola, Y. & Hinojosa Fernández, M. 2017. Estudios de sensibilidad del SisPI a cambios de la PBL, la cantidad de niveles verticales y, las parametrizaciones de microfísica y cúmulos, a muy alta resolución. Informe de Resultado Científico. 26 p., DOI:10.13140/RG.2.2.29136.00005 .Available:
Van der Walt, S.; Colbert, S. C. & Varoquaux, G. 2011. “The NumPy Array: A Structure for Efficient Numerical Computation.”. Computing in Science & Engineering, 13: 22-30. DOI: 10.1109/MCSE.2011.37.
Vázquez Proveyer, L.; Sierra Lorenzo, M.; Cruz Rodríguez, R. C. & Bezanilla Morlot, A. 2017. “Estudios de sensibilidad en la interacción numérica océano-atmósfera”. Ciencias de la Tierra y el Espacio, 18(1): 59-70. ISSN 1729-3790. Available: http://www.iga.cu/wp-content/uploads/2019/05/estudios-de-sensibilidad-en-la-interacci%C3%B3n-num%C3%A9rica-oc%C3%A9ano-atm%C3%B3sfera_2doenv.pdf
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