English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 94459/94459 (100%)
造訪人次 : 87657154      線上人數 : 273
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋


    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/102396


    題名: Hindcasts and forecasts of Loop Current and eddies in the Gulf of Mexico using local ensemble transform Kalman filter and optimum-interpolation assimilation schemes
    作者: 黃如瑤;Xu, F.-H.;Oey, L.-Y.;Miyazawa, Y.;Hamilton, P.
    貢獻者: 地球科學學院水文與海洋科學研究所
    關鍵詞: Data assimilation;Gulf of Mexico;Local ensemble transform Kalman filter;Loop Current and eddies;Optimum interpolation
    日期: 2013-09-01
    上傳時間: 2026-04-23 11:07:59 (UTC+8)
    出版者: Elsevier BV;Elsevier Ltd
    摘要: 摘要: •Local Ensemble Transform Kalman Filter (LETKF) is tested in Loop Current.•LETKF and OI skills are rigorously assessed against in situ ADCP’s and satellite.•LETKF captures nonlinear behaviors of eddy shedding-reattachment-shedding.•Forecasts using OI and LETKF beat satellite persistence.•LETKF improves forecast skills. The Local Ensemble Transform Kalman Filter (LETKF) is applied to the parallelized version of the Princeton Ocean Model to estimate the states of Loop Current and eddies in the Gulf of Mexico from April/20 to July/21, 2010 when detailed in situ current measurements were available. Tests are conducted to explore the sensitivity of the LETKF estimates to different parameters, and to systematic additions of different observational datasets which include satellite sea surface height anomaly (SSHA), satellite sea surface temperature (SST), and moored ADCP’s. The results are compared against observations to assess model skills, and also against estimates based on a simpler optimum interpolation (OI) assimilation scheme. With appropriate values of parameters and observational errors, LETKF provides improved estimates of Loop Current and eddy. In particular, the Loop Current in the late spring to summer of 2010 underwent a shedding-reattachment-shedding process. It is shown that such a nonlinear behavior is more accurately captured by LETKF, but not by OI, due to the former’s time-evolving error covariance. Finally, the accuracies of 8-week forecasts initialized from the OI and LETKF analyses and forced by reanalysis winds are compared. This period is particularly challenging to forecast because, instead of a more easily simulated westward propagation at approximately the first-mode baroclinic Rossby wave speed, the newly-shed eddy propagated very slowly, stalled, and finally decayed in the eastern Gulf. Both OI and LETKF beat persistence, but the LETKF significantly improves the eddy’s position and strength throughout the 8-week forecast.
    出版者: Elsevier Ltd
    出版日期: 2013-09-01
    出處: Ocean Modelling, 2013-09, Vol.69, p.22-38
    資源來源: Elsevier ScienceDirect Journals Complete - Autoholdings
    版權: 2013 Elsevier Ltd
    識別號: ISSN: 1463-5003
    識別號: EISSN: 1463-5011
    識別號: DOI: 10.1016/j.ocemod.2013.05.002
    顯示於類別:[水文與海洋科學研究所] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML24檢視/開啟


    在NCUIR中所有的資料項目都受到原著作權保護.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明