Results are presented from a variational data assimilation and nearshore bathymetry inversion scheme based on depth and wave-phase averaged surfzone hydrodynamics for a narrow-banded wave spectrum. 1-D Cross shore bathymetry is inverted based on 17-min-averaged significant wave height and longshore current observations made during the Duck94 field experiment. An inversion scenario is considered in which inversion is carried out separately for each 17-min-averaged set of observations. Results are used to quantify the inversion scheme's accuracy depending on time dependent wave and bathymetry conditions. The model generally produced a root-mean-square error of 0.46 m between modelled and actual bathymetry when both wave height observations and alongshore current observations were assimilated. The RMS error reduced to 0.44 m when only wave height observations were assimilated and increased to 0.69 m when only alongshore current observations were assimilated, suggesting that wave height is a more informative variable for bathymetry inversion. The model performed consistently in inverting bathymetry and thereby tracking morphologic change in varied wave conditions, including during large storm events.

结果来自变分数据同化和近岸测深反演方案，该方案基于窄带波谱的深度和波相平均冲浪带流体动力学。基于 Duck94 现场实验期间进行的 17 分钟平均有效波高和沿岸海流观测，对一维跨海岸测深进行了反演。考虑了一种反演场景，其中对每组 17 分钟平均观测值单独进行反演。结果用于根据时间相关波和水深测量条件来量化反演方案的准确性。当波高观测值和沿岸海流观测值被同化时，该模型通常在模拟和实际测深之间产生 0.46 m 的均方根误差。RMS 误差减少到 0。仅同化波高观测时为 44 m，仅同化沿岸海流观测时增加到 0.69 m，表明波高是用于测深反演的更多信息变量。该模型在反演测深中始终如一地执行，从而跟踪各种波浪条件下的形态变化，包括在大风暴事件期间。