首页> 外文会议>The proceedings of the sixth (2004) ISOPE Pacific/Asia offshore mechanics symposium (ISOPE PACOMS-2004) >About a Possibility for a Probabilistic Interpretation for Forecast Dateswhen Ice Thickness Growth up to 20-25 cm
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About a Possibility for a Probabilistic Interpretation for Forecast Dateswhen Ice Thickness Growth up to 20-25 cm

机译:关于当冰厚度增长到20-25厘米时可能对预报日期进行概率解释的可能性

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The article is concerned with results of probabilistic interpretation forrnforecast dates when ice thickness growth up to 20-25 cm in the Kara,rnLaptev, East-Siberian and Chukchi Seas. The method of thernprobabilistic interpretation is based on the condition forecast errorsrndistribution’s approach formulated by the author (Dmitriev, 1997). Itsrngoal is to find a way to estimate categorical (binary) forecastrnuncertainty for further translating into uncertainty in the quantity ofrninterest to the user ac-cording to “end-to-end” forecasting concept. Thernresults of calculating forecast errors distribution density parameters arerngiven for combining data from the areas mentioned above. It provides arnprincipal possibility to use binary forecasts in continuous optimizationrnduring planning sea ice-depended actions. Advantages of the methodrnproposed compared with traditional MOS approach (“matrixes ofrncontingency”) are shown.
机译:本文关注概率预测结果的预测日期,即卡拉,rnLaptev,东西伯利亚和楚科奇海的冰厚度增长到20-25厘米时。概率解释的方法基于作者提出的条件预测误差分布方法(Dmitriev,1997)。其目标是找到一种方法来估计分类(二进制)预测的不确定性,以便根据“端到端”的预测概念进一步转化为用户感兴趣的数量的不确定性。给出了用于组合上述区域数据的预测误差分布密度参数的计算结果。它提供了在计划依赖海冰的行动的连续优化中使用二进制预测的基本可能性。显示了与传统的MOS方法相比的方法的优势(“权变矩阵”)。

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