Modelling wave interactions over space and time.

世界海洋在现代生活的许多方面发挥着重要作用，从运输到能源生产。海浪是在海洋中作业的船舶和结构物所面临的主要挑战之一，并驱动波浪，导致沿海洪水和侵蚀。在某些情况下，这些波浪会造成严重破坏，危及建筑物、船只、社区和生命。由此产生的科学挑战是了解可能造成灾难性破坏的条件。要做到这一点，通常要描述海洋中给定区域的条件。这样就可以了解当这些波浪向岸上传播时，我们预计会对处于这些条件下的结构或船舶或沿海社区产生什么样的影响。为此，我们使用从位于感兴趣区域的测量设备（如浮标）获取的数据。然后，我们试图估计可能引起这些观察的条件。通常科学家和工程师通过开发海浪行为的通用模型来做到这一点，然后将其与观察到的数据相拟合。在大多数情况下，这些模型必须考虑多波系统。波浪系统的行为不同，如果它们是本地产生的（风海浪），如果它们是从海洋的其他地方传播的（涌浪）。另一个复杂性是，这些天气系统相互作用的方式是非常难以预测的，提出了一个额外的挑战，对那些有兴趣在建模波behaviors.Throughout本项目的过程中，我们的目标是利用最先进的技术，从时间序列分析，以改善从业者可以估计模型参数的方式，并模拟条件如何随时间变化。还可以采用更先进的技术来探索涌浪和风海系统之间的非线性相互作用，这在确定实际条件方面发挥着重要作用。与JBA Trust合作。

The world's oceans play an important role in many aspects of modern life, from transportation to energy generation. Ocean waves are one of the main challenges faced by vessels and structures operating in the oceans, and drive the waves that cause coastal flooding and erosion. In certain conditions these waves can cause severe damage, endangering structures, vessels, communities and lives.The resulting scientific challenge is to understand the conditions that can cause instances of catastrophic damage. To do this it is common to describe the conditions in a given area of the ocean. It is then possible to understand what kind of impacts we would expect on a structure or vessel that is in these conditions or on coastal communities when these waves propagate onshore.To do this we use data, taken from a measuring device, such as a buoy, situated in the area of interest. We then try to estimate the conditions that could have given rise to these observations. Usually scientists and engineers do this by developing general models for ocean wave behaviour that they then fit to the observed data. In most cases, these models have to account for multiple wave systems. The waves systems behave differently if they are generated locally (wind sea waves) than if they have travelled from elsewhere in the ocean (swell waves). An added complexity is that these weather systems interact with one another in ways that are very difficult to predict, presenting an extra challenge to those interested in modelling wave behaviour.Throughout the course of this project, we aim to utilise state of the art techniques from time series analysis to improve the way in which practitioners can estimate model parameters, and model how conditions can change over time. More advanced techniques can also be employed to explore the non-linear interactions between swell and wind sea systems, which plays an important role in determining the conditions that are experienced in practice.In partnership with JBA Trust.