Dynamic Data-Driven Environmental Systems Science
Dynamic Data-Driven Environmental Systems Science
复制标题
动态数据驱动的环境系统科学
DOI：
10.1007/978-3-319-25138-7_23
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Van Leeuwen P
中科院分区：
文献类型：
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作者：
Van Leeuwen P
随着模型分辨率的不断提高和更多物理（生物等）过程的纳入，以及观测算子的日益复杂，非线性数据同化问题在地球科学的各个领域都受到高度关注。讨论了粒子滤波在解决高维地球物理问题中非线性数据同化问题的适用性。本文将介绍几种现有的和新的方法，并证明其中至少有一种方法，即等效权重粒子滤波，确实克服了维数的限制，并为解决高维系统中的非线性数据同化问题提供了一种方法。
Nonlinear data assimilation is high on the agenda in all fields of the geosciences as with ever increasing model resolution and inclusion of more physical (biological etc.) processes, and more complex observation operators the data-assimilation problem becomes more and more nonlinear. The suitability of particle filters to solve the nonlinear data assimilation problem in high-dimensional geophysical problems will be discussed. Several existing and new schemes will be presented and it is shown that at least one of them, the Equivalent-Weights Particle Filter, does indeed beat the curse of dimensionality and provides a way forward to solve the problem of nonlinear data assimilation in high-dimensional systems.