A proof-of-concept study for the assimilation of satellite altimeter wave period to improve operational ocean wave forecasts

同化卫星高度计波浪周期以改进业务海浪预报的概念验证研究

• 批准号: NE/D007356/1
• 负责人: Meric Srokosz
• 金额: $ 5.7万
• 依托单位: NATIONAL OCEANOGRAPHY CENTRE
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FD007356%2F1
• 关键词: proof; concept; study; assimilation; satellite

This project is a proof-of-concept study aimed at assessing the ability of satellite altimeter wave period measurements to improve the forecasts of numerical ocean wave models. Good predictions of ocean wave period are extremely important for the design of sea-going and offshore structures and to ensure the safety of operations at sea (e.g. shipping, fisheries, cable laying, offshore oil exploration). Retrieving wave period information from satellite altimeters is a pioneering technique developed a few years ago by the National Oceanography Centre, Southampton for the Topex altimeter. Here, we join forces with the French operational weather forecasting agency, Meteo-France, to determine whether this information can help improve ocean weather forecasting. Meteo-France is currenlty the world-leader in combining wind and wave information from satellites with numerical models to improve operational forecasts. In order to reach this goal, new wave period algorithms for Jason 1 and ENVISAT RA2 altimeters will be developed. The project will also assess the validity of the altimeter and model wave period results in different environmental conditions based on new triple collocations between altimeters, model output and moored buoys, using buoys and altimeter data not already used for the development of the empirical algorithms or for assimilation.

该项目是一项概念验证研究，旨在评估卫星高度计时波周期测量的能力，以改善数值海浪模型的预测。海浪时期的良好预测对于设计海岸和海上建筑物的设计非常重要，并确保海上运营的安全性（例如，运输，渔业，电缆铺设，海上石油勘探）。从卫星高度计从卫星的浪潮周期信息是几年前由南安普敦国家海洋学中心开发的一项开创性技术。在这里，我们与法国运营天气预报机构Meteo-France联手确定此信息是否可以帮助改善海洋天气预报。 Meteo-France是世界领导者在将卫星的风和波浪信息与数值模型相结合以改善运营预测的情况下。为了实现这一目标，将开发针对Jason 1和Envisat RA2高度计的新波动时期算法。该项目还将根据浮标和浮标数据，基于高度计，模型输出和系泊浮标的新三重配置来评估高度计和模型波周期的有效性，从而导致不同的环境条件。