Fingerprints of Sea Level Rise on Changing Tides in the Chesapeake and Delaware Bays

被引:46
|
作者
Ross, Andrew C. [1 ]
Najjar, Raymond G. [1 ]
Li, Ming [2 ]
Lee, Serena Blyth [3 ]
Zhang, Fan [2 ]
Liu, Wei [2 ]
机构
[1] Penn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16802 USA
[2] Univ Maryland, Horn Point Lab, Ctr Environm Sci, Cambridge, MD USA
[3] Griffith Univ, Griffith Sch Engn, Griffith Climate Change Response Program, Griffith Ctr Coastal Management, Gold Coast, Qld, Australia
基金
美国国家科学基金会;
关键词
tides; sea-level rise; estuaries; GLACIAL ISOSTATIC-ADJUSTMENT; WELL-MIXED ESTUARIES; US EAST-COAST; CONTINENTAL-SHELF; OCEAN MODEL; TIDAL RANGE; SHORELINE EROSION; ATLANTIC COAST; GAUGE RECORD; WEST-COAST;
D O I
10.1002/2017JC012887
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Secular tidal trends are present in many tide gauge records, but their causes are often unclear. This study examines trends in tides over the last century in the Chesapeake and Delaware Bays. Statistical models show negative M2 amplitude trends at the mouths of both bays, while some upstream locations have insignificant or positive trends. To determine whether sea level rise is responsible for these trends, we include a term for mean sea level in the statistical models and compare the results with predictions from numerical and analytical models. The observed and predicted sensitivities of M2 amplitude and phase to mean sea level are similar, although the numerical model amplitude is less sensitive to sea level. The sensitivity occurs as a result of strengthening and shifting of the amphidromic system in the Chesapeake Bay and decreasing frictional effects and increasing convergence in the Delaware Bay. After accounting for the effect of sea level, significant negative background M2 and S2 amplitude trends are present; these trends may be related to other factors such as dredging, tide gauge errors, or river discharge. Projected changes in tidal amplitudes due to sea level rise over the 21st century are substantial in some areas, but depend significantly on modeling assumptions.
引用
收藏
页码:8102 / 8125
页数:24
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