Bibliography#

Anderson, D. L., Ruggiero, P., Mendez, F. J., Barnard, P. L., Erikson, L. H., O’Neill, A. C., et al. (2021). Projecting climate dependent coastal flood risk with a hybrid statistical dynamical model. Earth’s Future, 9, e2021EF002285. https://doi.org/10.1029/2021EF002285

Anderson, D., Rueda, A., Cagigal, L., Antolinez, J. A. A., Mendez, F. J., & Ruggiero, P. (2019). Time-varying emulator for short andlong-term analysis of coastal flood hazard potential. Journal of Geophysical Research: Oceans, 124(12), 9209–9234. https://doi.org/10.1029/2019JC015312

Barnard, P. L., Short, A. D., Harley, M. D., Splinter, K. D., Vitousek, S., Turner, I. L., & Heathfield, D. K. (2015). Coastal vulnerability across the Pacific dominated by El Nino/southern oscillation. Nature Geoscience, 8, 801– 808. https://doi.org/10.1038/NGEO2539

Bass, B., & Bedient, P. (2018). Surrogate modeling of joint flood risk across coastal watersheds. Journal of Hydrology, 558, 159– 173. https://doi.org/10.1016/j.jhydrol.2018.01.014

Bowyer, P. J., & MacAfee, A. W. (2005). The theory of trapped-fetch waves with tropical cyclones - An operational perspective. Weather and Forecasting, 20(3), 229–244 https://doi.org/10.1175/WAF849.1

Cagigal, L., Rueda, A., Ricondo, A.,Pérez, J., Ripoll, N., Coco, G., & Méndez,F. J. (2021). Climate-based emulatorof distant swell trains and local seasapproaching a Pacific atoll. Journalof Geophysical Research: Oceans,126, e2020JC016919. https://doi.org/10.1029/2020JC016919

Cagigal, L., Rueda, A., Anderson, D., Ruggiero, P., Merrifield, M. A., Montaño, J., et al. (2020). A multivariate, stochastic, climate-basedwave emulator for shoreline change modeling. Ocean Modelling, 154, 101695. https://doi.org/10.1016/j.ocemod.2020.101695

Camus, P., Méndez, F. J., Losada, I. J., Menéndez, M., Espejo, A., Pérez, J., & Guanche, Y. (2014). A method for finding the optimal predictor indices for local wave climate conditions. Ocean Dynamics, 64(7), 1025– 1038. https://doi.org/10.1007/s10236-014-0737-2

Camus, P., Mendez, F. J., Medina, R., & Cofiño, A. S. (2011). Analysis of clustering and selection algorithms for the study of multivariatewave climate. Coastal Engineering, 58(6), 453–462. https://doi.org/10.1016/j.coastaleng.2011.02.003

Durrant, T., Greenslade, D., Hemar, M., & Trenham, C. (2014). A Global hindcast focussed on the Central and South Pacific (technicalreport). CAWCR.

Emanuel K.A. The dependence of hurricane intensity on climate. Nature 1987, 326, 483–485.

Espejo, A., Mendez, F., Diez, J., Medina, R. and AL-Yahyai, S. (2016), Forecasting tropical cyclone activity. J. Flood Risk Manage, 9: 379-389. https://doi.org/10.1111/jfr3.12197

Espejo, A., Camus, P., Mendez, F.J., Losada, I.J., 2014. Spectral ocean wave climate variability based on circulation patterns. J. Phys. Oceanography doi: 10.1175/ JPO- D- 13- 0276.1.

Guanche, Y., Mínguez, R., & Méndez, F. J. (2014). Autoregressive logistic regression applied to atmospheric circulation patterns. ClimateDynamics, 42(1–2), 537–552. https://doi.org/10.1007/s00382-013-1690-3

Gutiérrez, J.M., Cofiño, A.S., Cano, R., Rodríguez, M.A., 2004. Clustering methods for statistical downscaling in short-range weather forecast. Monthly Weather Review 132, 2169–2183.

Hanson, J. L., & Phillips, O. M. (2001). Automated analysis of ocean surface directional wave spectra. Journal of Atmospheric and OceanicTechnology, 18(2), 277–293. https://doi.org/10.1175/1520-0426(2001)018<0277:AAOOSD>2.0.CO;2

Hegermiller, C. A., Antolinez, J. A. A., Rueda, A., Camus, P., Perez, J., Erikson, L., & Mendez, F. J. (2017). A multimodal wave spectrum – Based approach for statistical downscaling of local wave climate. American Meteorological Society, 47, 375– 386. https://doi.org/10.1175/JPO-D-16-0191.1

Hoeke, R. K., McInnes, K. L., Kruger, J. C., McNaught, R. J., Hunter, J. R., & Smithers, S. G. (2013). Widespread inundation of Pacific islandstriggered by distant-source wind-waves. Global and Planetary Change, 108, 128–138. https://doi.org/10.1016/j.gloplacha.2013.06.006

Hovmöller, B. E. (1949). The trough-and-ridge diagram. Tellus, 1, 62–66. https://doi.org/10.3402/tellusa.v1i2.8498

Knapp, K. R., Diamond, H. J., Kossin, J. P., Kruk, M. C., & Schreck, C. J. (2018). International Best Track Archive for Climate Stewardship (IBTrACS) Project, Version 4. National Centers for Environmental Information. NOAA. https://doi.org/https://doi.org/10.25921/82ty-9e16

Perez, J. , Menéndez, M. , Méndez, F.J. , Losada, I.J. , 2014. ESTELA: a method for evalu- ating the source and travel-time of the wave energyreaching a local area. Ocean Dyn. 64, 1025–1038 1037.

Portilla, J., Ocampo-Torres, F. J., & Monbaliu, J. (2009). Spectral partitioning and identification of wind sea and swell. Journal of Atmosphericand Oceanic Technology, 26(1), 107–122. https://doi.org/10.1175/2008JTECHO609.1

Ribal, A., & Young, I. R. (2019). 33 Years of Globally Calibrated Wave Height and Wind Speed Data Based on Altimeter Observations. Scientific Data, 6(1), 1–15. https://doi.org/10.1038/s41597-019-0083-9

Rueda, A., Camus, P., Tomás, A., Vitousek, S., & Méndez, F. J. (2016). A multivariate extreme wave and storm surge climate emulator basedon weather patterns. Ocean Modelling, 104, 242–251. https://doi.org/10.1016/j.ocemod.2016.06.008

Rueda, A., Hegermiller, C. A., Camus, P., Vitousek, S., Ruggiero, P., Barnard, P. L., et al. (2017). Multiscale climate emulator of multimodalwave spectra: MUSCLE-spectra. Journal of Geophysical Research: Oceans, 121(3), 2268–2285. https://doi.org/10.1002/2016JC011882.Received

Salvadori, G. , De Michele, C. , Kottegoda, N.T. , Rosso, R. , 2007. Extremes in nature. An Approach Using Copulas, volume 56 of Water Science and Technology Library. Springer

Serafin, K. A., & Ruggiero, P. (2014). Simulating extreme total water levels using time-dependent, extreme value approach. Journal ofGeophysical Research: Oceans, 119, 6305–6329. https://doi.org/10.1002/2014JC010093.Received

Stockdon, H., Thompson, D., Plant, N., & Long, J. (2014). Evaluation of wave runup predictions from numerical and parametric models. Coastal Engineering, 92, 1– 11. https://doi.org/10.1016/j.coastaleng.2014.06.0045

Tamizi, A., & Young, I. R. (2020). The spatial distribution of ocean waves in tropical cyclones. Journal of Physical Oceanography, 50(8), 2123–2139. https://doi.org/10.1175/JPO-D-20-0020.1

Wandres, M., Aucan, J., Espejo, A., Jackson, N., Yeurt, A. D. R. N., Damlamian, H., & Silva, R. (2020). Distant-source swells cause coastalinundation on Fiji#x02010;s coral coast. Frontiers in Marine Science, 7, 1–10. https://doi.org/10.3389/fmars.2020.00546

Winter, G., Storlazzi, C., Vitousek, S., vanDongeren, A., McCall, R., Hoeke, R., et al. (2020). Steps to develop early warning systems and futurescenarios of storm wave-driven flooding along coral Reef-lined coasts. Frontiers in Marine Science, 7, 1–8. https://doi.org/10.3389/fmars.2020.00199