Development of the Nonstationary Incremental Analysis Update Algorithm for Sequential Data Assimilation System
This study introduces a modified version of the incremental analysis updates (IAU), called the nonstationary IAU (NIAU) method, to improve the assimilation accuracy of the IAU while keeping the continuity of the analysis. Similar to the IAU, the NIAU is designed to add analysis increments at every m...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2016/4305204 |
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| author | Yoo-Geun Ham Hyo-Jong Song Jaehee Jung Gyu-Ho Lim |
| author_facet | Yoo-Geun Ham Hyo-Jong Song Jaehee Jung Gyu-Ho Lim |
| author_sort | Yoo-Geun Ham |
| collection | DOAJ |
| description | This study introduces a modified version of the incremental analysis updates (IAU), called the nonstationary IAU (NIAU) method, to improve the assimilation accuracy of the IAU while keeping the continuity of the analysis. Similar to the IAU, the NIAU is designed to add analysis increments at every model time step to improve the continuity in the intermittent data assimilation. However, unlike the IAU, the NIAU procedure uses time-evolved forcing using the forward operator as corrections to the model. The solution of the NIAU is superior to that of the forward IAU, of which analysis is performed at the beginning of the time window for adding the IAU forcing, in terms of the accuracy of the analysis field. It is because, in the linear systems, the NIAU solution equals that in an intermittent data assimilation method at the end of the assimilation interval. To have the filtering property in the NIAU, a forward operator to propagate the increment is reconstructed with only dominant singular vectors. An illustration of those advantages of the NIAU is given using the simple 40-variable Lorenz model. |
| format | Article |
| id | doaj-art-03e311b8899b4656b539697212cc6e37 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-03e311b8899b4656b539697212cc6e372025-02-03T05:46:28ZengWileyAdvances in Meteorology1687-93091687-93172016-01-01201610.1155/2016/43052044305204Development of the Nonstationary Incremental Analysis Update Algorithm for Sequential Data Assimilation SystemYoo-Geun Ham0Hyo-Jong Song1Jaehee Jung2Gyu-Ho Lim3Faculty of Earth Systems and Environmental Sciences, Chonnam National University, Gwangju, Republic of KoreaKorea Institute of Atmospheric Prediction Systems, Seoul, Republic of KoreaSeoul National University, Seoul, Republic of KoreaSeoul National University, Seoul, Republic of KoreaThis study introduces a modified version of the incremental analysis updates (IAU), called the nonstationary IAU (NIAU) method, to improve the assimilation accuracy of the IAU while keeping the continuity of the analysis. Similar to the IAU, the NIAU is designed to add analysis increments at every model time step to improve the continuity in the intermittent data assimilation. However, unlike the IAU, the NIAU procedure uses time-evolved forcing using the forward operator as corrections to the model. The solution of the NIAU is superior to that of the forward IAU, of which analysis is performed at the beginning of the time window for adding the IAU forcing, in terms of the accuracy of the analysis field. It is because, in the linear systems, the NIAU solution equals that in an intermittent data assimilation method at the end of the assimilation interval. To have the filtering property in the NIAU, a forward operator to propagate the increment is reconstructed with only dominant singular vectors. An illustration of those advantages of the NIAU is given using the simple 40-variable Lorenz model.http://dx.doi.org/10.1155/2016/4305204 |
| spellingShingle | Yoo-Geun Ham Hyo-Jong Song Jaehee Jung Gyu-Ho Lim Development of the Nonstationary Incremental Analysis Update Algorithm for Sequential Data Assimilation System Advances in Meteorology |
| title | Development of the Nonstationary Incremental Analysis Update Algorithm for Sequential Data Assimilation System |
| title_full | Development of the Nonstationary Incremental Analysis Update Algorithm for Sequential Data Assimilation System |
| title_fullStr | Development of the Nonstationary Incremental Analysis Update Algorithm for Sequential Data Assimilation System |
| title_full_unstemmed | Development of the Nonstationary Incremental Analysis Update Algorithm for Sequential Data Assimilation System |
| title_short | Development of the Nonstationary Incremental Analysis Update Algorithm for Sequential Data Assimilation System |
| title_sort | development of the nonstationary incremental analysis update algorithm for sequential data assimilation system |
| url | http://dx.doi.org/10.1155/2016/4305204 |
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