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Sea level extremes in the U.S.-Affiliated Pacific Islands—a coastal hazard scenario to aid in decision analyses

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Abstract

The objective of this study is to provide a perspective on the extremes of sea-level variability and predictability for the U.S.-Affiliated Pacific Islands (USAPI) on seasonal time-scales. Based on the Generalized Extreme Value (GEV) model, the L-moments method has been used to estimate the model parameters. The bootstrap method has been used to define the exceedance probability level of upper and lower bounds of the return periods at the 90% confidence interval. On the basis of these return calculations and expected extremes of high sea level, the seasonal maxima of sea level and the varying likelihood of extreme events have been estimated. For analyzing the predictability of the extremes of sea-level, a canonical correlation analysis (CCA) statistical model has been developed. Findings reveal that there is seasonal climatology of extreme events in the vicinity of USAPI that are variable on temporal and spatial scales. Some of the islands (Yap and Saipan) display considerably higher seasonal extremes than the others for 20 to 100 year return periods because of typhoon-related storm surges. These surges are likely to cause huge tidal large sea-level inundations and increased erosion to low-lying atolls/islands and result in considerable damage to roads, harbors, unstable sandy beaches, and other major infrastructures. Finally, the need for evaluating the extreme events and associated typhoons from a regional perspective has been stressed for coastal hazard management decision analyses in the USAPI.

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References

  • Barnston AG (1994) Linear statistical short-term climate predictive skills in the Northern Hemisphere. J Climate 7:1513–1564

    Article  Google Scholar 

  • Barnston AG, He Y (1996) Skill of CCA forecasts of 3-month mean surface climate in Hawaii and Alaska. J Climate 9:2020–2035

    Article  Google Scholar 

  • Barnston AG, Smith TM (1996) Specification and prediction of global surface temperature and precipitation from global SST using CCA. J Climate 9:2660–2697

    Article  Google Scholar 

  • Caldwell P, Kilonsky B. 1992. Data processing and quality control at the TOGA Sea Level Center. Joint IAPSO-IOC Workshop on Sea Level Measurements and Quality Control. Paris, 12–13 October, 1992. IOC Workshop Report No. 81, UNESCO; 122–135

  • Chowdhury MR, Chu P-S, Schroeder T (2007a) ENSO and Seasonal Sea-level Variability—A Diagnostic Discussion for the U.S-Affiliated Pacific Islands. Theor Appl Climatol 88:213–224

    Article  Google Scholar 

  • Chowdhury MR, Chu P-S, Schroeder T, Colasacco N (2007b) Seasonal Sea Level Forecasts by Canonical Correlation Analysis: An Operational Scheme for the U.S.-Affiliated Pacific Islands. Int J Climatol 27:1389–1402

    Article  Google Scholar 

  • Chowdhury MR, Chu P-S, Xin Z, Schroeder TA (2008) Variability and predictability of sea-level extremes in the Hawaiian and U.S.-Trust Islandsknowledge base for coastal hazards management. J Coast Conserv 12:93–104

    Article  Google Scholar 

  • Chowdhury M. R., Barnston A. G., Guard C., Duncan S., Schroeder T, and Chu P-S 2010. Sea-level variability and change in the U.S-Affiliated Pacific Islands—Understanding the high sea levels during 2006–08, Weather Wiley (In press).

  • Chu P-S (2004) ENSO and tropical cyclone activity. In: Murnane RJ, Liu K-B (eds) Hurricanes and Typhoons: Past, Present, and Future. Columbia University Press, Columbia, pp 297–332

    Google Scholar 

  • Chu P-S, He Y (1994) Long-range prediction of Hawaiian winter rainfall using canonical correlation analysis. Int J Climatol 14:659–669

    Article  Google Scholar 

  • Chu P-S, Wang J (1997) Tropical Cyclone Occurrences in the Vicinity of Hawaii: Are the Difference between El Niño and Non-El Niño Years Significant? J Climate 10:2683–2689

    Article  Google Scholar 

  • Chu P-S, Zhao X, Ruan Y, Grubbs M (2009) Extreme Rainfall Events in the Hawaiian Islands. Journal of Applied Meteorology and Climatology 48:502–516

    Article  Google Scholar 

  • Church JA, White NJ, Hunter JR (2006) Sea-level rise at tropical Pacific and Indian Ocean islands. Global Planet Change 53:155–168

    Article  Google Scholar 

  • Coles S. 2001. An Introduction to Statistical Modeling of Extreme Values, Springer, 2001; 208.

  • Efron B, Tibshirani RJ. 1993. An Introduction to the Bootstrap. Chapman and Hall; 436.

  • Felici M, Lucarini V, Speranza A, Vitolo R (2007) Extreme value statistics of the total energy in an intermediate-complexity model of the mid-latitude atmospheric jet Part I: Stationary Case. J Atmos Sci 64:2137–2158

    Article  Google Scholar 

  • Gnedenko B (1943) Sur la distribution limite du terme maximum d’une se´rie ale´atoire. Ann Math 44:423–453

    Article  Google Scholar 

  • Hay J, Mimura N (2005) Sea-level implications for water resources management. Mitigation and Adaptations Strategies for Global Change 10:717–737

    Article  Google Scholar 

  • IPCC: 2007a. Climate Change 2007: The Physical Basis—Summary for Policymakers. Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) (available at: http://www.ipcc.ch/ipccreports/ar4-wg1.htm)

  • IPCC: 2007b. Climate Change 2007: Climate Change Impacts, Adaptation and Vulnerability—Summary for Policymakers. Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (available at: http://www.ipcc.ch/ipccreports/ar4-wg2.htm)

  • Katz RW, Parlange MB, Naveau P (2002) Statistics of extremes in hydrology. Adv Water Resour 25:1287–1304

    Article  Google Scholar 

  • Kilonsky BJ, Caldwell P. 1991. In pursuit of high-quality sea level data, IEEE Oceans Proceedings 2

  • Lander MA (1994) An exploratory analysis of the relationship between tropical storm formation in the western north pacific and ENSO. Mon Weather Rev 122:636–651

    Article  Google Scholar 

  • Mendez FJ, Menedez M, Luceno A, Losada I (2007) Analyzing Monthly Extremes Sea Levels with a Time-Dependent GEV Model. J Atmos Ocean Tech 24:894–911

    Article  Google Scholar 

  • Mimura N (1999) Vulnerability of island countries in the South Pacific to sea level rise and climate change. Clim Res 12:137–143

    Article  Google Scholar 

  • Smith TM, Reynolds RW (2002) Extended Reconstruction of Global Sea Surface Temperatures Based on COADS Data (1854–1997). J of Climate 7:1495–1510

    Google Scholar 

  • Woodroffe CD (2008) Reef-island topography and the vulnerability of atolls to sea-level rise. Global Planet Change 62:77–96

    Article  Google Scholar 

  • Yu Z-P, Chu P-S, Schroeder T (1997) Predictive skills of seasonal to annual rainfall variations in the U S. affiliated Pacific islands: Canonical correlation analysis and multivariate principal component regression approaches. J climate 10:2586–2599

    Article  Google Scholar 

  • Zwiers FW, Kharin VV (1998) Changes in the Extremes of the Climate Simulated by CCC GCM2 under CO2 Doubling. J Climate 11:2200–2222

    Article  Google Scholar 

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Acknowledgments

This project was funded by cooperative agreement NA17RJ1230 between the Joint Institute for Marine and Atmospheric Research (JIMAR) and the National Oceanic and Atmospheric Administration (NOAA). The views expressed herein are those of the authors and do not necessarily reflect the views of NOAA or any of its subdivisions. This is SOEST contribution 6573.

Grateful acknowledgements are expressed to three anonymous reviewers for their valuable comments. We express our gratitude to Dr. Mark Merrifield and Ms. Shikiko Nakahara of the University of Hawaii Sea Level center for providing valuable comments on sea level data. Also, grateful acknowledgements are due to other PEAC colleagues Mr. James Weyman, Ms. Eileen Shea, Dr. Mike Hamnett, Mr. Charles Chip Guard, Dr. Mark Lander, Dr. Cheryl Anderson, Julie Earp, and Sarah Duncan. Finally, thanks are also due to Ms. Diane Henderson and Nancy Hulbirt for proof editing.

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Correspondence to Md. Rashed Chowdhury.

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Chowdhury, M.R., Chu, PS., Zhao, X. et al. Sea level extremes in the U.S.-Affiliated Pacific Islands—a coastal hazard scenario to aid in decision analyses. J Coast Conserv 14, 53–62 (2010). https://doi.org/10.1007/s11852-010-0086-3

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  • DOI: https://doi.org/10.1007/s11852-010-0086-3

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