کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
519163 867642 2012 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A random map implementation of implicit filters
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
A random map implementation of implicit filters
چکیده انگلیسی

Implicit particle filters for data assimilation generate high-probability samples by representing each particle location as a separate function of a common reference variable. This representation requires that a certain underdetermined equation be solved for each particle and at each time an observation becomes available. We present a new implementation of implicit filters in which we find the solution of the equation via a random map. As examples, we assimilate data for a stochastically driven Lorenz system with sparse observations and for a stochastic Kuramoto–Sivashinsky equation with observations that are sparse in both space and time.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational Physics - Volume 231, Issue 4, 20 February 2012, Pages 2049–2066
نویسندگان
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