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A Frequency-Dependent Assimilation Algorithm: Ensemble Optimal Smoothing

التفاصيل البيبلوغرافية
العنوان: A Frequency-Dependent Assimilation Algorithm: Ensemble Optimal Smoothing
المؤلفون: Zhongjie He, Yueqi Zhao, Xiachuan Fu, Xin Sheng, Siwen Xu
المصدر: Journal of Marine Science and Engineering, Vol 10, Iss 9, p 1324 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Naval architecture. Shipbuilding. Marine engineering
LCC:Oceanography
مصطلحات موضوعية: data assimilation, ensemble optimal interpolation (EnOI), covariance matrices, smoothing methods, temporal correlation, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581
الوصف: Motivated by the need for a simple and effective assimilation scheme that could be used in a relocatable ocean model, a new assimilation algorithm called ensemble optimal smoothing (EnOS) was developed. This scheme was a straightforward extension of the ensemble optimal interpolation (EnOI) by involving time correlation information in the Kalman gain. The main advantage of this scheme was the ability to estimate the present state from the time history of observation. We first examined the new scheme in an ideal ocean model using simulated observations. Further applying these two assimilation schemes to the Chinese offshore and adjacent waters, the root-mean-square error (RMSE) of the EnOS scheme was reduced by 6.4% relative to EnOI. The results showed that the EnOS was more efficient and effective in eliminating model errors when compared to the EnOI scheme.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2077-1312
Relation: https://www.mdpi.com/2077-1312/10/9/1324; https://doaj.org/toc/2077-1312
DOI: 10.3390/jmse10091324
URL الوصول: https://doaj.org/article/d87913caaa944033afaf950e2d002bbe
رقم الأكسشن: edsdoj.87913caaa944033afaf950e2d002bbe
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20771312
DOI:10.3390/jmse10091324