Short-term forecasting method for prevailing orientation of leads in the Laptev Sea ice cover during winter-spring season

L. N. Dyment, A. A. Ershova, V. S. Porubaev
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Abstract

 Sea ice leads are potential routes of easier navigation in the Arctic seas during winter-spring season. Forecasts of the prevailing orientation of ice leads are required for the early selection of the optimal route of a ship in ice. An automated method for short-term forecasting of the prevailing orientation of leads in the Laptev Sea is developed in AARI based on the analog method. Data sources for making a forecast include predictive fields of atmospheric pressure up to 3 days in advance and historical data on surface atmospheric pressure, ice drift and sea ice leads. The data on ice leads are obtained by interpreting SuomiNPP satellite images in a visible and infrared range at 375 m spatial resolution for the cold seasons 2016–2022. The ice drift data are freely available OSI SAF data. In order to make a forecast of the prevailing orientation of leads by a predictive atmospheric pressure field, it is necessary to select from an electronic data archive a historical field of atmospheric pressure that is the most similar to the predictive field. The lead characteristics on the selected date are taken as the predictive ones. Automated selection of an analog consists in searching for an atmospheric pressure field from the electronic data archive which has minimal metrics for the forecast date together with 2 previous days. The metric is calculated as the sum of the squared differences between the change in atmospheric pressure per 1 km in the latitudinal and meridional directions between the predictive atmospheric pressure field and the potential analog field. Actual lead data for a date of the selected analog may not be available due to thick clouds. In this case, the direction of the minor axis of the strain ellipse calculated from ice drift data is taken as the prevailing orientation of leads. The success ratio of diagnostic forecasts by the method developed is 72 %. Comparison of the success ratio of the diagnostic forecasts with the results of inertial and climatic forecasts demonstrates a high effectiveness of the method for cases of abrupt change in the direction of air flows over the Laptev Sea within the first 1–2 days.
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拉普捷夫海冰盖冬春季节主导方向的短期预测方法
海冰航线是冬春季节在北极海域更容易航行的潜在路线。为了尽早选择船舶在冰中的最佳航线,需要对冰引线的主要方向进行预测。在模拟法的基础上,AARI 开发出了一种拉普捷夫海冰道盛行方向短期自动预报方法。进行预报的数据源包括大气压力提前 3 天的预测场,以及地表大气压力、冰漂移和海冰走向的历史数据。有关冰层走向的数据是通过解读 SuomiNPP 卫星 2016-2022 年寒冷季节 375 米空间分辨率的可见光和红外范围图像获得的。流冰数据是免费提供的 OSI SAF 数据。为了通过预测性大气压力场对引线的主导方向进行预测,有必要从电子数据档案中选择与预测性大气压力场最为相似的历史大气压力场。选定日期的导线特征将作为预测特征。自动模拟选择包括从电子数据档案中搜索一个大气压力场,该大气压力场在预测日期和前两天的指标最小。该指标的计算方法是,预测大气压力场与潜在模拟场之间每 1 公里纬向和经向大气压力变化的平方差之和。由于云层较厚,可能无法获得所选模拟日期的实际领先数据。在这种情况下,根据冰漂移数据计算出的应变椭圆的小轴方向将被视为主要的导线方向。利用所开发的方法进行诊断预测的成功率为 72%。诊断预报成功率与惯性预报和气候预报结果的比较表明,该方法在拉普捷夫海上空气流方向在最初 1-2 天内发生突然变化的情况下非常有效。
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