Operational Wave Guidance at the U.S. National Weather Service during Tropical/Post–Tropical Storm Sandy, October 2012

Jose-Henrique G. M. Alves Systems Research Group, Inc., and Environmental Modeling Center, NOAA/NCEP, College Park, Maryland

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Scott Stripling National Hurricane Center, NOAA/NCEP, Miami, Florida

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Arun Chawla Environmental Modeling Center, NOAA/NCEP, College Park, Maryland

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Hendrik Tolman Environmental Modeling Center, NOAA/NCEP, College Park, Maryland

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Andre van der Westhuysen Environmental Modeling Center, NOAA/NCEP, College Park, Maryland

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Abstract

Waves generated during Hurricane Sandy (October 2012) contributed significantly to life and property losses along the eastern U.S. seaboard. Extreme waves generated by Sandy propagated inland riding high water levels, causing direct destruction of property and infrastructure. High waves also contributed to the observed record-breaking storm surges. Operational wave-model guidance provided by the U.S. National Weather Service, via numerical model predictions made at NOAA’s National Centers for Environmental Prediction (NCEP), gave decision makers accurate information that helped mitigate the severity of this historical event. The present study provides a comprehensive performance assessment of operational models used by NCEP during Hurricane Sandy, and makes a brief review of reports issued by government agencies, private industry, and universities, indicating the importance of the interplay of waves and surges during the hurricane. Performance of wave models is assessed through validation made relative to western Atlantic NOAA/NDBC buoys that recorded significant wave heights exceeding 6 m (19.7 ft). Bulk validation statistics indicate a high skill of operational wave forecasts up to and beyond the 3-day range. Event-based validation reveals a remarkably high skill of NCEP’s wave ensemble system, with significant added value in its data for longer forecasts beyond the 72-h range. The study concludes with considerations about the extent of severe sea-state footprints during Sandy, the dissemination of real-time wave forecasts, and its impacts to emergency management response, as well as recent upgrades and future developments at NCEP that will improve the skill of its current wave forecasting systems, resulting in more reliable wave forecasts during life-threatening severe storm events in the future.

National Centers for Environmental Prediction Marine Modeling and Analysis Branch Contribution Number 323.

Corresponding author address: Jose-Henrique G. M. Alves, Environmental Modeling Center, NOAA/NCEP, Center for Weather and Climate Prediction, 5830 University Research Court, College Park, MD 20740. E-mail: henrique.alves@noaa.gov

Abstract

Waves generated during Hurricane Sandy (October 2012) contributed significantly to life and property losses along the eastern U.S. seaboard. Extreme waves generated by Sandy propagated inland riding high water levels, causing direct destruction of property and infrastructure. High waves also contributed to the observed record-breaking storm surges. Operational wave-model guidance provided by the U.S. National Weather Service, via numerical model predictions made at NOAA’s National Centers for Environmental Prediction (NCEP), gave decision makers accurate information that helped mitigate the severity of this historical event. The present study provides a comprehensive performance assessment of operational models used by NCEP during Hurricane Sandy, and makes a brief review of reports issued by government agencies, private industry, and universities, indicating the importance of the interplay of waves and surges during the hurricane. Performance of wave models is assessed through validation made relative to western Atlantic NOAA/NDBC buoys that recorded significant wave heights exceeding 6 m (19.7 ft). Bulk validation statistics indicate a high skill of operational wave forecasts up to and beyond the 3-day range. Event-based validation reveals a remarkably high skill of NCEP’s wave ensemble system, with significant added value in its data for longer forecasts beyond the 72-h range. The study concludes with considerations about the extent of severe sea-state footprints during Sandy, the dissemination of real-time wave forecasts, and its impacts to emergency management response, as well as recent upgrades and future developments at NCEP that will improve the skill of its current wave forecasting systems, resulting in more reliable wave forecasts during life-threatening severe storm events in the future.

National Centers for Environmental Prediction Marine Modeling and Analysis Branch Contribution Number 323.

Corresponding author address: Jose-Henrique G. M. Alves, Environmental Modeling Center, NOAA/NCEP, Center for Weather and Climate Prediction, 5830 University Research Court, College Park, MD 20740. E-mail: henrique.alves@noaa.gov
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  • Alves, J., Y. Y. Chao, and H. L. Tolman, 2005: The operational North Atlantic hurricane wind-wave forecasting system at NOAA/NCEP. Tech. Note 244, NOAA/NWS/NCEP/MMAB, 59 pp. + appendices.

  • Alves, J., and Coauthors, 2013: The NCEP–FNMOC combined wave ensemble product: Expanding benefits of interagency probabilistic forecasts to the oceanic environment. Bull. Amer. Meteor. Soc., 94, 1893–1905, doi:10.1175/BAMS-D-12-00032.1.

    • Search Google Scholar
    • Export Citation
  • Alves, J., A. Chawla, H. Tolman, D. Schwab, G. Lang, and G. Mann, 2014: The operational implementation of a Great Lakes wave forecasting system at NOAA/NCEP. Wea. Forecasting, 29, 1473–1497, doi:10.1175/WAF-D-12-00049.1.

    • Search Google Scholar
    • Export Citation
  • Amante, C., and B. W. Eakins, 2009: ETOPO1 1 arc-minute global relief model: Procedures, data sources and analysis. Tech. Memo. 24, NOAA/NESDIS/NGDC, 19 pp.

  • Ardhuin, F., and Coauthors, 2010: Semiempirical dissipation source functions for ocean waves. Part I: Definition, calibration, and validation. J. Phys. Oceanogr., 40, 19171941, doi:10.1175/2010JPO4324.1.

    • Search Google Scholar
    • Export Citation
  • Blake, E. S., T. B. Kimberlain, R. J. Berg, J. Cangialosi, and J. L. Beven II, 2013: Tropical cyclone report: Hurricane Sandy (22–29 October 2012). National Hurricane Center Rep. AL182012, 157 pp. [Available online at http://www.nhc.noaa.gov/data/tcr/AL182012_Sandy.pdf.]

  • Cao, D., H. S. Chen, and H. L. Tolman, 2007: Verification of ocean wave ensemble forecasts at NCEP. Proc. 10th Int. Workshop on Wave Hindcasting and Forecasting and Coastal Hazards Symp., Oahu, HI, NOAA/NCEP, Paper G1, 10 pp. [Available online at http://polar.ncep.noaa.gov/mmab/papers/tn261/mmab261.pdf.]

  • Cardone, V., R. Jensen, D. Resio, V. Swail, and A. Cox, 1996: Evaluation of contemporary ocean wave models in rare extreme events: The “Halloween storm” of October 1991 and the Storm of the Century of March 1993. J. Atmos. Oceanic Technol., 13, 198230, doi:10.1175/1520-0426(1996)013<0198:EOCOWM>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Chao, Y. Y., and H. L. Tolman, 2010: Performance of NCEP regional wave models in predicting peak sea states during the 2005 North Atlantic hurricane season. Wea. Forecasting, 25, 15431567, doi:10.1175/2010WAF2222309.1.

    • Search Google Scholar
    • Export Citation
  • Chao, Y. Y., J.-H. G. Alves, and H. L. Tolman, 2005: An operational system for predicting hurricane-generated wind waves in the North Atlantic Ocean. Wea. Forecasting, 20, 652671, doi:10.1175/WAF851.1.

    • Search Google Scholar
    • Export Citation
  • Chawla, A., and Coauthors, 2013: A multigrid wave forecasting model: A new paradigm in operational wave forecasting. Wea. Forecasting, 28, 1057–1078, doi:10.1175/WAF-D-12-00007.1.

    • Search Google Scholar
    • Export Citation
  • Chen, H. S., 2006: Ensemble prediction of ocean waves at NCEP. Proc. 28th Ocean Engineering Conf., Taiwan, National Sun Yat-Sen University, 18.

  • Division of Natural Sciences and Mathematics, 2013: Beach-dune performance assessment after Hurricane Sandy related to FEMA disaster. Annual Rep. DR-NJ 4086, Division of Natural Sciences and Mathematics, Richard Stockton College, New Jersey, 26 pp.

  • Fanelli, C., P. Fanelli, and D. Wolcott, 2013: Hurricane Sandy. Water level and meteorological data report, National Ocean Services, NOS/NOAA, 60 pp.

  • Funakoshi, Y., J. Feyen, F. Aikman, H. Tolman, A. van der Westhuysen, A. Chawla, I. Rivin, and A. Taylor, 2012: Development of Extratropical Surge and Tide Operational Forecast System (ESTOFS). Proc. 12th ASCE Int. Conf. on Estuarine and Coastal Modeling, St. Augustine, FL, ASCE, 201212, doi: 10.1061/9780784412411.00012.

  • Gladwin, H., B. Morrow, and J. Lazo, 2013: Communication and understanding of Hurricane Sandy storm surge forecast and warning information. Florida International University Natural Hazards Workshop, NSF CMMI 1322088, Miami, FL, Florida International University. [Available online at http://www.academia.edu/4316097/Communication_and_Understanding_of_Hurricane_Sandy_Storm_Surge_Forecast_and_Warning_Information.]

  • Hsu, S., 2013: Storm surges in New York during Hurricane Sandy in 2012: A verification of the wind-stress tide relation. Bound.-Layer Meteor., 148, 593598, doi:10.1007/s10546-013-9830-1.

    • Search Google Scholar
    • Export Citation
  • Impact Forecasting, 2013: Hurricane Sandy event recap report. Rep., Aon Benfield, 50 pp. [Available online at http://thoughtleadership.aonbenfield.com/Documents/20130514_if_hurricane_sandy_event_recap.pdf.]

  • Kurihara, Y., M. A. Bender, R. E. Tuleya, and R. J. Ross, 1995: Improvements in the GFDL hurricane prediction system. Mon. Wea. Rev., 123, 27912801, doi:10.1175/1520-0493(1995)123<2791:IITGHP>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Landsea, C. W., and J. L. Franklin, 2013: Atlantic hurricane database uncertainty and presentation of a new database format. Mon. Wea. Rev., 141, 35763592, doi:10.1175/MWR-D-12-00254.1.

    • Search Google Scholar
    • Export Citation
  • Magnusson, L., J.-R. Bidlot, S. T. Lang, A. Thorpe, N. Wedi, and M. Yamaguchi, 2014: Evaluation of medium-range forecasts for Hurricane Sandy. Mon. Wea. Rev., 142, 19621981, doi:10.1175/MWR-D-13-00228.1.

    • Search Google Scholar
    • Export Citation
  • McCallum, B. E., and Coauthors, 2013: Monitoring storm tide and flooding from Hurricane Sandy along the Atlantic coast of the United States, October 2012. U.S. Geological Survey Open-File Rep. 2013–1043, 42 pp. [Available online at http://pubs.usgs.gov/of/2013/1043/.]

  • Sela, J. G., 1980: Spectral modeling at the National Meteorological Center. Mon. Wea. Rev., 108, 12791292, doi:10.1175/1520-0493(1980)108<1279:SMATNM>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Skamarock, W. C., and Coauthors, 2008: A description of the Advanced Research WRF version 3. NCAR Tech. Note NCAR/TN-475+STR, 113 pp. [Available online at http://www.mmm.ucar.edu/wrf/users/docs/arw_v3_bw.pdf.]

  • Sullivan, D., and L. Uccellini, 2013: Hurricane/post-Tropical Cyclone Sandy, October 22–29, 2012. NOAA Service Assessment, NOAA, 46 pp. + appendices.

  • Tallapragada, V., N. Surgi, Q. Liu, Y. Kwon, R. Tuleya, and W. O’Connor, 2008: Performance of the advanced operational HWRF modeling system during pre-implementation testing and in real-time 2007 hurricane season. 28th Conf. on Hurricanes and Tropical Meteorology, Orlando, FL, Amer. Meteor. Soc., 4A.5. [Available online at https://ams.confex.com/ams/28Hurricanes/techprogram/paper_138066.htm.]

  • Tolman, H. L., 2009: User manual and system documentation of WAVEWATCH III version 3.14. Tech. Note 276, NOAA/NWS/NCEP/MMAB, 194 pp. + appendices.

  • Tolman, H. L., and D. Chalikov, 1996: Source terms in a third-generation wind wave model. J. Phys. Oceanogr., 26, 24972518, doi:10.1175/1520-0485(1996)026<2497:STIATG>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Van der Westhuysen, A. J., and Coauthors, 2014: Development and validation of the nearshore wave prediction system. 11th Symp. on the Coastal Environment, Austin, TX, Amer. Meteor. Soc., 4.5. [Available online at https://ams.confex.com/ams/93Annual/webprogram/Paper222877.html.]

  • Wei, M., Z. Toth, R. Wobus, and Y. Zhu, 2008: Initial perturbations based on the ensemble transform (ET) technique in the NCEP global operational forecast system. Tellus, 60A, 6279, doi:10.1111/j.1600-0870.2007.00273.x.

    • Search Google Scholar
    • Export Citation
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