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English(EN) HaiRuo: Forecasting Ocean Eddies as Fields and Objects with a Satellite-Altimetry Foundation Model

HaiRuo基础模型以更高精度预测海洋涡旋

研究人员开发了HaiRuo,一种用于预测海洋涡旋的新型基础模型。该模型由HaiRuo-1B和XuanJi解码器组成,同时将涡旋预测为场和对象,与现有方法相比提高了准确性并减少了误差。HaiRuo-1B是一个在卫星测高数据上训练的开放权重模型,提供初始预测,而XuanJi则优化涡旋轨迹。该系统在各种海洋条件下,包括在厄尔尼诺-南方涛动事件期间,都表现出卓越的性能。 AI

影响 该模型推动了基础模型在复杂科学领域的应用,有望改善气候和海洋学研究。

排序理由 该条目描述了一篇科学论文,其中详细介绍了一种用于海洋学预测的新基础模型。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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HaiRuo基础模型以更高精度预测海洋涡旋

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该条目描述了一篇科学论文,其中详细介绍了一种用于海洋学预测的新基础模型。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Xukun Qin, Haochen Sun, Yuyang Tian, Ge Chen ·

    HaiRuo:以卫星测高基础模型将海洋涡旋预测为场和对象

    arXiv:2611.14136v1 Announce Type: new Abstract: Mesoscale eddies carry most of the ocean's kinetic energy and move heat, salt and nutrients across basins, yet where an eddy will be two weeks ahead is still read off ocean models with post-hoc tracking heuristics. We introduce HaiR…