Scott A. Stephens
National Institute of Water and Atmospheric Research
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Publication
Featured researches published by Scott A. Stephens.
New Zealand Journal of Marine and Freshwater Research | 2005
Robert H. Spigel; Clive Howard-Williams; Max M. Gibbs; Scott A. Stephens; Barry Waugh
Abstract Field measurements were used to validate predictions for the initial dilution of negatively buoyant, cold‐water inflows to Lake Taupo, as part of a study to quantify mixing processes associated with the two largest inflows to the lake. The predictions were made using a formulation originally derived for positively buoyant, warm‐water inflows to cooling ponds. The formulation predicts the total dilution of an inflow during its inertia‐dominated phase between its entrance to the lake and the point where buoyancy forces are great enough to cause the inflow to plunge and form a submerged density current. In one of the measured inflows, the inflowing jet was free to entrain from both sides; in the other, entrainment was restricted on one side by attachment of the inflowing jet to the shoreline of a bay just upstream of the plunge point. In the former example, the unmodified coefficients from the cooling pond formulation provided an excellent prediction of initial dilution. In the latter example, entrainment was reduced and different coefficients were derived. In both examples the inflows remained attached to the lake bed throughout their course until their liftoff at depths of 45–55 m to form interflows. The difference between coefficients for the two inflows indicates that the coefficient values should be considered site‐specific. The formulation is not valid for inflows that separate from the bottom of the inflow channel before plunging. The entrance mixing formulation was incorporated in a more general model of lake stratification, DYRESM, which already includes a well‐documented routine for routing underflows down submerged channels on the bed of a lake. Application of the model to the inflows measured in Lake Taupo gave good results for two model outputs that were not involved in the calibration of the entrance mixing formulation, but that are affected by the result of the initial dilution calculation—the temperatures in the river plume after it has plunged, and the insertion depth.
New Zealand Journal of Marine and Freshwater Research | 2006
Scott A. Stephens; Richard M. Gorman
Abstract A recently implemented wave hindcast for the New Zealand region was used in conjunction with wave‐buoy data to evaluate extreme significant wave height at multiple sites around New Zealand, for the first time. Hindcast storm wave heights were under‐predicted compared with wave‐buoy measurements at three inshore sites, and a method for scaling the hindcast data to improve the comparison of predicted extreme wave heights was explored. Different statistical methods for predicting extreme wave heights were also compared. Offshore, extreme wave heights displayed a north‐south and an east‐west gradient that is in keeping with the mean wave climate, with larger waves in the south and in the west. However, the variation of extreme wave heights between sites was less than the mean wave climate would suggest, because mid‐latitude depressions generate comparatively large waves on the generally more sheltered northeast coast. At the most energetic site to the southwest of the South Island, a 1 in 100‐year return significant wave height Hs (100) of 19.3 m and maximum wave height H max(100)> of 45 m were predicted. At the least energetic site to the northeast of the North Island, estimates of HS (100) = 13.9m and H max(100) = 33m were obtained.
Journal of Waterway Port Coastal and Ocean Engineering-asce | 2011
Scott A. Stephens; Giovanni Coco; Karin R. Bryan
Numerical simulations of cross-shore wave transformation and associated wave setup were performed for 100,000 realistic combinations of wave height, period, and beach profile. Results of numerical simulations were compared with a widely used empirical predictor of wave setup, and the outcome was a large variability in setup relative to that calculated by the empirical predictor. The variability, comparable in magnitude to the scatter around the empirical predictor developed with field observations, arose from wave energy dissipation over the cross-shore profile that was not taken into account. The beach-face slope commonly used in empirical predictors can be a poor descriptor of wave transformation across the beach profile, where most of the wave energy dissipation and setup generation occurs. Shoreline setup appears to be far more dependent on accurate characterization of the offshore profile (e.g., bar location and depth) than the beach-face slope.
Journal of Atmospheric and Oceanic Technology | 2014
Scott A. Stephens; Robert G. Bell; Douglas Ramsay; Nigel Goodhue
AbstractA technique to produce high-water alerts from coinciding high astronomical tide and high mean sea level anomaly is demonstrated for the Pacific Islands region. Low-lying coastal margins are vulnerable to episodic inundation that often coincides with times of higher-than-normal high tides. Prior knowledge of the dates of the highest tides can assist with efforts to minimize the impacts of increased exposure to inundation. It is shown that the climate-driven mean sea level anomaly is an important component of total sea level elevation in the Pacific Islands region, which should be accounted for in medium-term (1–7 months) sea level forecasts. An empirical technique is applied to develop a mean sea level–adjusted high-water alert calendar that accounts for both sea level components and provides a practical tool to assist with coastal inundation hazard planning and management.
Geomorphology | 2011
Shari L. Gallop; Karin R. Bryan; Giovanni Coco; Scott A. Stephens
Global and Planetary Change | 2014
Scott A. Stephens; Doug Ramsay
Journal of Marine Science and Engineering | 2017
Scott A. Stephens; Robert G. Bell; Judy Lawrence
Ocean Modelling | 2017
Victor A. Godoi; Karin R. Bryan; Scott A. Stephens; Richard M. Gorman
Archive | 2003
Max M. Gibbs; Ian Hawes; Scott A. Stephens
Environmental Science & Policy | 2018
Judy Lawrence; Robert G. Bell; Paula Blackett; Scott A. Stephens; Sylvia Allan