从卫星高度测量中估计浅水中的潮成分,使用2D水力动力模型与非线性潮波浪相互作用进行估计
Henrique Guarneri1,2, M Verlaan1,2, D C Slobbe1
1Delft University of Technology, P. O. Box 5048, 2600 GA Delft, The Netherlands.
概括
这项研究引入了一种使用卫星数据估计海洋潮的新方法,通过计算非线性潮相互作用来提高浅水的准确性. 这种新的方法增强了潮模型,特别是在沿海地区.
科学领域:
- 海洋学 海洋学 海洋学
- 地质物理学 地质物理学
- 卫星遥感 卫星遥感 卫星遥感
背景情况:
- 使用卫星高度测量数据的潮模型显示,浅海和深海环境之间的准确性差异很大.
- 在潮分析中忽视非线性潮波相互作用可能会导致这些精度差异.
研究的目的:
- 引入一种新的方法,用卫星高度计数据在浅水中估计潮成分.
- 利用一个2D水力动力学模型来解释非线性潮波浪相互作用,以改善潮估计.
- 为了减少潮分析中未计数的水位变化的差异.
主要方法:
- 开发了一种2D水力动力学模型,其中包含非线性潮相互作用,用于估计潮成分.
- 以往模型的潮组成部分作为随机处理,以管理高度计数据的低时间分辨率.
- 在荷兰大陆架模型第7版 (DCSM) 上测试了该方法,在西北欧洲大陆架地区.
主要成果:
- 浅水 (英国,德国海湾) 的剩余水位时间序列标准偏差从11厘米减少到5厘米.
- 观察到深水 (>200米) 中位标准偏差从6.8厘米减少到6.2厘米.
- 在浅水 (6.0厘米与7.5厘米) 中表现优于最先进的模型,但在深水 (6.2厘米与5.5厘米) 中表现稍差一些.
结论:
- 这种新方法显示了在像DCSM这样的水力动力学模型中改善潮表示的潜力.
- 这种方法有效地减少了浅水潮估计中的错误,因为它结合了非线性潮潮相互作用.
- 在数据较差的地区,可能需要进一步的策略来进行可靠的潮成分估计.
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