دورية أكاديمية
A Frequency-Dependent Assimilation Algorithm: Ensemble Optimal Smoothing
العنوان: | A Frequency-Dependent Assimilation Algorithm: Ensemble Optimal Smoothing |
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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 |
تدمد: | 20771312 |
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DOI: | 10.3390/jmse10091324 |