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FORECASTING OF COMPRESSIVE ICE CONDITIONS

机译:压冰状况的预测

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摘要

Compressive conditions increase the difficulty of ice navigation. Channels are closed, ship speed is reduced, the ship may get stuck, and in severe case ice buildup and hull damage may occur. Inclusion of compression into ice forecasts would greatly improve the efficiency of winter navigation as difficult areas could be avoided and need of icebreaker assistance assessed better. It is well known to ice navigators that zones of compression may generate, relieve and change location in hours. The physical background is found in ice stress propagation which can experience a complete change of pattern after a slight alteration in wind forcing or ice conditions. The SAFEWIN project approach to compression forecasting is described. It is based on an extension of the Finnish Meteorological Institute operative ice model HELMI. Two day forecasts are provided with 3 hour interval and the compression is expressed as a simple numeral from 0 to 4. The forecasts exhibit similar sensitivity for forcing and ice conditions as the observed compression. This makes however the forecasts sensitive to errors in the model parameters, initial conditions and forecasted forcing fields. A natural solution is to include expected variation for all of these and derive an ensemble of predictions. The forecasts are then presented in terms of probability of occurrence and provided in several formats added to the routine ice forecasts. The forecasts are delivered trough a web site and via the icebreaker network IBNet. For selected ferries and other ships on regular routes experimental ship specific forecasts are possible. The forecasts and presentations are validated and enhanced further using icegoing data and feedback from the end users.
机译:压缩条件增加了冰面航行的难度。通道关闭,船速降低,船可能被卡住,在严重的情况下可能会结冰和损坏船体。将压缩纳入冰预报中将极大地提高冬季航行的效率,因为可以避免困难地区,并更好地评估了破冰船援助的需求。冰上航行者众所周知,压缩区域可以在数小时内产生,缓解和改变位置。在冰应力传播中发现了物理背景,在风力或冰层条件略有变化后,冰经历了模式的完全变化。描述了SAFEWIN项目压缩预测方法。它基于芬兰气象研究所有效冰模型HELMI的扩展。两天的预报间隔为3小时,压缩程度表示为从0到4的简单数字。与对观测到的压缩程度相比,预测对于强迫和冰况的敏感性相似。但是,这会使预测对模型参数,初始条件和预测的强制字段中的错误敏感。一个自然的解决方案是包括所有这些的预期变化并得出整体预测。然后以发生概率的形式给出预报,并以几种添加到常规冰预报中的格式提供预报。预报通过网站和破冰船网络IBNet传递。对于选定的渡轮和常规航线上的其他船只,可以进行实验船特定的预测。预测和演示通过使用冰封数据和来自最终用户的反馈得到进一步验证和增强。

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