Oceanography The Official Magazine of
The Oceanography Society
Volume 27 Issue 03

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Volume 27, No. 3
Pages 104 - 115


Tropical Cyclone Prediction Using COAMPS-TC

James D. Doyle Richard M. Hodur Sue ChenYi JinJonathan R. MoskaitisShouping WangEric A. HendricksHao Jin Travis A. Smith
Article Abstract

A new version of the Coupled Ocean/Atmosphere Mesoscale Prediction System for Tropical Cyclones (COAMPS®-TC) has been developed for prediction of tropical cyclone track, structure, and intensity. The COAMPS-TC has been tested in real time in both uncoupled and coupled modes over the past several tropical cyclone seasons in the Western Pacific and Atlantic basins at a horizontal resolution of 5 km. An evaluation of a large sample of forecasts in the Atlantic and Western Pacific basins reveals that the COAMPS-TC intensity predictions are competitive with, and in some regards more accurate than, the other leading dynamical models, particularly for lead times beyond 36 hours. Recent real-time forecasts of Hurricane Sandy (2012) highlight the capability of COAMPS-TC to capture both intensity and multiscale structure in agreement with observations. Results from the air-ocean coupled COAMPS-TC simulations of Typhoon Fanapi (2010) and Super Typhoon Jangmi (2008) in the Western Pacific indicate accurate predictions of the track and intensity, as well as the sea surface temperature cooling response to the storm, in agreement with satellite measurements. The air-ocean-wave coupled simulations of the Atlantic Hurricane Frances (2004) highlight the capability of the COAMPS-TC system to realistically capture not only sea surface temperature cooling following storms but also characteristics of ocean surface waves and their interactions with boundary layers above and below the ocean surface.


Doyle, J.D., R.M. Hodur, S. Chen, Y. Jin, J.R. Moskaitis, S. Wang, E.A. Hendricks, H. Jin, and T.A. Smith. 2014. Tropical cyclone prediction using COAMPS-TC. Oceanography 27(3):104–115, https://doi.org/10.5670/oceanog.2014.72.


Allard, R., E. Rogers, P. Martin, T. Jensen, P. Chu, T. Campbell, J. Dykes, T. Smith, J. Choi, and U. Gravois. 2014. The US Navy coupled ocean-wave prediction system. Oceanography 27(3):92–103, https://doi.org/10.5670/oceanog.2014.71.

Andreas, E.L., P.O.G. Persson, and J.E. Hare. 2008. A bulk turbulent air-sea flux algorithm for high-wind, spray conditions. Journal of Physical Oceanography 38:1,581–1,596, https://doi.org/10.1175/2007JPO3813.1.

Bao, J.-W., C.W. Fairall, S.A. Michelson, and L. Bianco. 2011. Parameterizations of sea-spray impact on the air-sea momentum and heat fluxes. Monthly Weather Review 139:3,781–3,797, https://doi.org/10.1175/MWR-D-11-00007.1.

Bao, J.-W., J.M. Wilczak, and J.-K. Choi. 2000. Numerical simulations of air–sea interaction under high wind conditions using a coupled model: A study of hurricane development. Monthly Weather Review 128:2,190–2,210, https://doi.org/10.1175/1520-0493(2000)128<2190:NSOASI>2.0.CO;2.

Bender, M.A., I. Ginis, R. Tuleya, B. Thomas, and T. Marchok. 2007. The operational GFDL Coupled Hurricane–Ocean Prediction System and a summary of its performance. Monthly Weather Review 135:3,965–3,989, https://doi.org/10.1175/2007MWR2032.1.

Black, P.G., E.A. D’Asaro, T.B. Sanford, W.M. Drennan, J.A. Zhang, J.R. French, P.P. Niiler, E.J. Terrill, and E.J. Walsh. 2007. Air–sea exchange in hurricanes: Synthesis of observations from the Coupled Boundary Layer Air–Sea Transfer Experiment. Bulletin of the American Meteorological Society 88:357–374, https://doi.org/10.1175/BAMS-88-3-357.

Bougeault, P.H., and J.-C. André. 1986. On the stability of the third-order turbulence closure for the modeling of the stratocumulus-topped boundary layer. Journal of the Atmospheric Sciences 43:1,574–1,581, https://doi.org/10.1175/1520-0469(1986)043<1574:OTSOTT>2.0.CO;2.

Braun, S.A., M.T. Montgomery, and X. Pu. 2006. High-resolution simulation of Hurricane Bonnie (1998). Part I: The organization of eyewall vertical motion. Journal of the Atmospheric Sciences 63:19–42, https://doi.org/10.1175/JAS3598.1.

Chen, S., T.J. Campbell, H. Jin, S. Gaberšek, R.M. Hodur, and P. Martin. 2010. Effect of two-way air–sea coupling in high and low wind speed regimes. Monthly Weather Review 138:3,579–3,602, https://doi.org/10.1175/2009MWR3119.1.

Chen, S., T.J. Campbell, S. Gabersek, H. Jin, and R.M. Hodur. 2011. Next generation air–ocean–wave Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). NRL Review, 9 pp, http://www.nrl.navy.mil/content_images/Atmospheric_2011.pdf.

Chen, S.S., J.F. Price, W. Zhao, M.A. Donelan, and E.J. Walsh. 2007. The CBLAST-Hurricane Program and the next-generation fully coupled atmosphere–wave–ocean models for hurricane research and prediction. Bulletin of the American Meteorological Society 88:311–317, https://doi.org/10.1175/BAMS-88-3-311.

Cummings, J.A. 2005. Operational multivariate ocean data assimilation. Quarterly Journal of the Royal Meteorological Society 131:583–604, https://doi.org/10.1256/qj.05.105.

Daley, R., and E. Barker. 2000. NAVDAS: Formulation and diagnostics. Monthly Weather Review 129:869–883, https://doi.org/10.1175/1520-0493(2001)129<0869:NFAD>2.0.CO;2.

D’Asaro, E.A., T.B. Sanford, P.P. Niiler, and E.J. Terrill. 2007. Cold wake of Hurricane Frances. Geophysical Research Letters 34, L15609, https://doi.org/10.1029/2007GL030160.

D’Asaro, E., P. Black, L. Centurioni, P. Harr, S. Jayne, I.-I. Lin, C. Lee, J. Morzel, R. Mrvaljevic, P. P. Niiler, and others. 2011. Typhoon-ocean interaction in the western North Pacific: Part 1. Oceanography 24(4):24–31, https://doi.org/10.5670/oceanog.2011.91.

Davis, C., W. Wang, S.S. Chen, Y. Chen, K. Corbosiero, M. DeMaria, J. Dudhia, G. Holland, J. Klemp, J. Michalakes, and others. 2008. Prediction of landfalling hurricanes with the advanced hurricane WRF model. Monthly Weather Review 136:1,990–2,005, https://doi.org/10.1175/2007MWR2085.1.

DeMaria, M., M. Mainelli, L.K. Shay, J.A. Knaff, and J. Kaplan. 2005. Further improvements to the Statistical Hurricane Intensity Prediction Scheme (SHIPS). Weather and Forecasting 20:531–543, https://doi.org/10.1175/WAF862.1.

DeMaria, M., C.R. Sampson, J.A. Knaff, and K.D. Musgrave. 2014. Is tropical cyclone intensity guidance improving? Bulletin of the American Meteorological Society 95:387–398, https://doi.org/10.1175/BAMS-D-12-00240.1.

Donelan, M.A., B.K. Haus, N. Reul, W.J. Plant, M. Stianssnie, H.C. Graber, O.B. Brown, and E.S. Saltzman. 2004. On the limiting aerodynamic roughness of the ocean in very strong winds. Geophysical Research Letters 31, L18306, https://doi.org/10.1029/2004GL019460.

Done, J., C. Davis, and M. Weisman. 2004. The next generation of NWP: Explicit forecasts of convection using the Weather Research and Forecast (WRF) Model. Atmospheric Science Letters 5:110–117, https://doi.org/10.1002/asl.72.

Doyle, J.D. 2002. Coupled atmosphere-ocean wave simulations under high wind conditions. Monthly Weather Review 130:3,087–3,099, https://doi.org/10.1175/1520-0493(2002)130<3087:CAOWSU>2.0.CO;2.

Doyle, J.D., Y. Jin, R. Hodur, S. Chen. H. Jin, J. Moskaitis, A. Reinecke, P. Black, J. Cummings, E. Hendricks, and others. 2011. Real time tropical cyclone prediction using COAMPS-TC. Pp. 15–28 in Advances in Geosciences, vol. 28. C.-C. Wu and J. Gan, eds, World Scientific Publishing Company, Singapore.

Fairall, C.W., M.L. Banner, W.L. Peirson, W. Asher, and R.P. Morison. 2009. Investigation of the physical scaling of sea spray spume droplet production. Journal of Geophysical Research 114, C10001, https://doi.org/10.1029/2008JC004918.

Fairall, C.W., J.D. Kepert, and G.J. Holland. 1994. The effect of sea spray on surface energy transports over the ocean. Global Atmosphere-Ocean System 2:121–142.

Fowle, M.A., and P.J. Roebber. 2003. Short-range (0–48 h) numerical prediction of convective occurrence, mode, and location. Weather and Forecasting 18:782–794, https://doi.org/10.1175/1520-0434(2003)018<0782:SHNPOC>2.0.CO;2.

Goerss, J.S. 2007. Prediction of consensus tropical cyclone track forecast error. Monthly Weather Review 135:1,985–1,993, https://doi.org/10.1175/MWR3390.1.

Hamill, T.M., J.S. Whitaker, D.T. Kleist, M. Fiorino, and S.G. Benjamin. 2011. Predictions of 2010’s tropical cyclones using the GFS and ensemble-based data assimilation methods. Monthly Weather Review 139:3,243–3,247, https://doi.org/10.1175/MWR-D-11-00079.1.

Hodur, R.M. 1997. The Naval Research Laboratory’s Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). Monthly Weather Review 125:1,414–1,430, https://doi.org/10.1175/1520-0493(1997)125<1414:TNRLSC>2.0.CO;2.

Jin, Y., W.T. Thompson, S. Wang, and C.-S. Liou. 2007. A numerical study of the effect of dissipative heating on tropical cyclone intensity. Weather and Forecasting 22:950–966, https://doi.org/10.1175/WAF1028.1.

Kantha, L.H., and C.A. Clayson. 2004. On the effect of surface gravity waves on mixing in the oceanic mixed layer. Ocean Modelling 6:101–124, https://doi.org/10.1016/S1463-5003(02)00062-8.

Liou, C.-S., and K.D. Sashegyi. 2012. On the initialization of tropical cyclones with a three-dimensional variational analysis. Natural Hazards 63:1,375–1,391, https://doi.org/10.1007/s11069-011-9838-0.

Marks, F.D., and L.K. Shay. 1998. Landfalling tropical cyclones: Forecast problems and associated research opportunities. Bulletin of the American Meteorological Society 79:305–323.

Martin, P.J. 2000. Description of the NAVY Coastal Ocean Model Version 1.0. NRL Report NRL/FR/7322-00-9962, 42 pp.

Martin, P.J., J.W. Book, and J.D. Doyle. 2006. Simulation of the northern Adriatic circulation during winter 2003. Journal of Geophysical Research 111, C03S12, https://doi.org/10.1029/2006JC003511.

Mellor, G.L., and T. Yamada. 1982. Development of a turbulence closure model for geophysical fluid problems. Reviews of Geophysics 20:851–875, https://doi.org/10.1029/RG020i004p00851.

Moon, I.-J., T. Hara, I. Ginis, S.E. Belcher, and H. Tolman. 2004. Effect of surface waves on air-sea momentum exchange. Part I: Effect of mature and growing seas. Journal of the Atmospheric Sciences 61:2,321–2,333, https://doi.org/10.1175/1520-0469(2004)061<2321:EOSWOA>2.0.CO;2.

Powell, M.D., P.J. Vickery, and T.A. Reinhold. 2003. Reduced drag coefficient for high wind speeds in tropical cyclones. Nature 422:279–283, https://doi.org/10.1038/nature01481.

Rogers, R., S. Aberson, M. Black, P. Black, J. Cione, P. Dodge, J. Gamache, J. Kaplan, M. Powell, J. Dunion, and others. 2006. The Intensity Forecasting Experiment: A NOAA multiyear field program for improving tropical cyclone intensity forecasts. Bulletin of the American Meteorological Society 87:1,523–1,537, https://doi.org/10.1175/BAMS-87-11-1523.

Sampson, C.R., and A.J. Schrader. 2000. The Automated Tropical Cyclone Forecasting System (Version 3.2). Bulletin of the American Meteorological Society 81:1,231–1,240, http://dx.doi.org/10.1175/1520-0477(2000)081<1231:TATCFS>2.3.CO;2.

Smith, T.A., S. Chen, T. Campbell, E. Rogers, S. Gabersek, D. Wang, S. Carroll, and R. Allard. 2013. Ocean-wave coupled modeling in COAMPS-TC: A study of Hurricane Ivan (2004). Ocean Modelling 69:181–194, https://doi.org/10.1016/j.ocemod.2013.06.003.

Van Roekel, L.P., B. Fox-Kemper, P.P. Sullivan, P.E. Hamlington, and S.R. Haney. 2012. The form and orientation of Langmuir cells for misaligned winds and waves. Journal of Geophysical Research 117, C05001, https://doi.org/10.1029/2011JC007516.

Whitehead, J.C. 2003. One million dollars per mile? The opportunity costs of hurricane evacuation. Ocean & Coastal Management 46:1,069–1,083, https://doi.org/10.1016/j.ocecoaman.2003.11.001.

Zhu, T., and D.-L. Zhang. 2006. Numerical simulation of Hurricane Bonnie (1998). Part II: Sensitivity to varying cloud microphysical processes. Journal of the Atmospheric Sciences 63:109–126, https://doi.org/10.1175/JAS3599.1.

Zhu, T., D.-L. Zhang, and F. Weng. 2004. Numerical simulation of Hurricane Bonnie (1998). Part I: Eyewall evolution and intensity changes. Monthly Weather Review 132:225–241, https://doi.org/10.1175/1520-0493(2004)132<0225:NSOHBP>2.0.CO;2.

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