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Green's function approach for calibrating tides in a circulation model for the East Asian marginal seas

机译:格林函数方法在东亚边缘海环流模型中校准潮汐

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摘要

A simple effective method of inverse estimation provided by model Green's functions is examined to calibrate tides in a regional circulation model for the East Asian marginal seas. The Green's function optimization derived by perturbing the model parameters significantly improves the estimate relative to observation as compared with baseline integration. Among the optimized model parameters, the largest effects on cost function reduction come first from the harmonic constant of M_2 along the open boundaries with the optimized values of 89.7 ± 0.8% for amplitude, and second from the bottom friction with the optimized value of (3.06 ± 0.08) × 10~(-3).
机译:研究了格林模型提供的一种简单有效的逆估计方法,以校准东亚边缘海区域环流模型中的潮汐。与基线积分相比,通过扰动模型参数得出的格林函数优化极大地改善了相对于观测的估计。在优化的模型参数中,对成本函数降低的最大影响首先来自沿开放边界的M_2谐波常数,振幅的优化值为89.7±0.8%,其次是底部摩擦的优化值为(3.06 ±0.08)×10〜(-3)

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