巴伦支海海冰厚度预报性能

Laura Hume-Wright, E. Fiedler, N. Fournier, Joana Mendes, E. Blockley, Matthew J. Martin, K. Eik
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引用次数: 3

摘要

海冰的存在对北极作业和航行的安全、可操作性和效率产生重大影响。虽然基于卫星的海冰制图通常用于战术海冰管理,但海洋部门尚未利用现有的业务海冰厚度预测。然而,数据产品现在可以从哥白尼海洋环境监测服务(CMEMS)免费获得。北极资产管理公司和船舶船员通常不知道这些产品,或者到目前为止,这些产品的准确性、可核查性、分辨率和格式都不足,无法很好地整合到现有的决策过程和系统中。欧盟H2020项目“极端条件下的海上安全行动:北极案例”(SEDNA)的目标是提高北极航行的安全性和效率。本文提出了一个组件,重点验证了英国气象局预测海洋同化模式(FOAM) 7天海冰厚度预报的适应性。实验预报模型吸收了CryoSat-2卫星的冰干舷日数据。根据巴伦支海海洋与冰网(BASMIN)联合工业项目在2015年至2018年期间部署的五个系泊处的独特现场数据,对预测技能进行了评估。研究表明,现有的FOAM预测在巴伦支海可以产生足够的结果。然而,虽然研究表明同化CryoSat-2数据对厚海冰条件是有效的,但这并没有改善对巴伦支海较薄海冰条件的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sea Ice Thickness Forecast Performance in the Barents Sea
The presence of sea ice has a major impact on the safety, operability and efficiency of Arctic operations and navigation. While satellite-based sea ice charting is routinely used for tactical ice management, the marine sector does not yet make use of existing operational sea ice thickness forecasting. However, data products are now freely available from the Copernicus Marine Environment Monitoring Service (CMEMS). Arctic asset managers and vessels’ crews are generally not aware of such products, or these have so far suffered from insufficient accuracy, verification, resolution and adequate format, in order to be well integrated within their existing decision-making processes and systems. The objective of the EU H2020 project “Safe maritime operations under extreme conditions: The Arctic case” (SEDNA) is to improve the safety and efficiency of Arctic navigation. This paper presents a component focusing on the validation of an adaption of the 7-day sea ice thickness forecast from the UK Met Office Forecast Ocean Assimilation Model (FOAM). The experimental forecast model assimilates the CryoSat-2 satellite’s ice freeboard daily data. Forecast skill is evaluated against unique in-situ data from five moorings deployed between 2015 and 2018 by the Barents Sea Metocean and Ice Network (BASMIN) Joint Industry Project. The study shows that the existing FOAM forecasts produce adequate results in the Barents Sea. However, while studies have shown the assimilation of CryoSat-2 data is effective for thick sea ice conditions, this did not improve forecasts for the thinner sea ice conditions of the Barents Sea.
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