Prospects for seasonal forecasting of iceberg distributions in the North Atlantic
1月 1, 2018·,
,,,,,·
0 分钟阅读时长
Robert Marsh
Grant Bigg
Yifan Zhao
Matthew J Martin
Jeffrey R Blundell
Simon A Josey
Edward Hanna
Vladimir Ivchenko
摘要
An efficient approach to ocean–iceberg modelling provides a means for assessing prospects for seasonal forecasting of iceberg distributions in the northwest Atlantic, where icebergs present a hazard to mariners each spring. The stand-alone surface (SAS) module that is part of the Nucleus for European Modelling of the Ocean (NEMO) is coupled with the NEMO iceberg module (ICB) in a “SAS-ICB” configuration with horizontal resolution of 0.25°. Iceberg conditions are investigated for three recent years, 2013–2015, characterized by widely varying iceberg distributions. The relative simplicity of SAS-ICB facilitates efficient investigation of sensitivity to iceberg fluxes and prevailing environmental conditions. SAS-ICB is provided with daily surface ocean analysis fields from the global Forecasting Ocean Assimilation Model (FOAM) of the Met Office. Surface currents, temperatures and height together determine iceberg advection and melting rates. Iceberg drift is further governed by surface winds, which are updated every 3 h. The flux of icebergs from the Greenland ice sheet is determined from engineering control theory and specified as an upstream flux in the vicinity of Davis Strait for January or February. Simulated iceberg distributions are evaluated alongside observations reported and archived by the International Ice Patrol. The best agreement with observations is obtained when variability in both upstream iceberg flux and oceanographic/atmospheric conditions is taken into account. Including interactive icebergs in an ocean–atmosphere model with sufficient seasonal forecast skill, and provided with accurate winter iceberg fluxes, it is concluded that seasonal forecasts of spring/summer iceberg conditions for the northwest Atlantic are now a realistic prospect.
类型
出版物
Natural Hazards, 91(2), 447–471. Springer

作者
赵一帆
(he/him)
讲席教授
赵一帆(Yifan Zhao), 宁波东方理工大学力学与机械工程学院讲席教授, 英国皇家工程院工业会士, 英国高等教育学会会士, 2025入选国家级高层次人才计划。曾任英国克兰菲尔德大学航空、交通与制造学院终身教授、博士生导师, 担任全生命周期工程服务实验室主任。2000年与2003年分别获得北京理工大学自动控制专业学士和硕士学位, 2007年获得英国谢菲尔德大学自动控制与系统工程博士学位。累计发表高水平学术论文200余篇, 其中包含IEEE Transactions顶刊论文30余篇, 以及CVPR、MICCAI、CIRP等国际顶级会议论文。出版学术专著6部, 获授权国际专利3项。已培养博士后6人、博士研究生20余人、硕士研究生80余人, 国际访问学者10名。主持和参与多项英国工程与自然科学研究理事会、英国皇家工程院、英国创新署以及空客和捷豹路虎等国际头部企业资助的重大科研项目, 累计经费逾8000万元人民币。在知识转化方面, 其研究成果已成功应用于飞机设计与运维、智能制造、自动驾驶以及智慧建造等领域。