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Volumn 13, Issue 1, 2011, Pages 40-49

Advanced Data Assimilation for Cloud-Resolving Hurricane Initialization and Prediction

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EID: 85008542974     PISSN: 15219615     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCSE.2011.18     Document Type: Article
Times cited : (21)

References (11)
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    • Talagrand, O.1
  • 3
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    • A Strategy for Operational Implementation of 4D-VAR, Using an Incremental Approach
    • P. Courtier, J.N. Thepaut, and A. Hollingsworth, “A Strategy for Operational Implementation of 4D-VAR, Using an Incremental Approach,” Quarterly J. Royal Meteorological Soc., vol. 120, no. 519, 1994, pp. 1367–1387.
    • (1994) Quarterly J. Royal Meteorological Soc. , vol.120 , Issue.519 , pp. 1367-1387
    • Courtier, P.1    Thepaut, J.N.2    Hollingsworth, A.3
  • 4
    • 3042798251 scopus 로고    scopus 로고
    • A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results
    • D.M. Barker et al., “A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results,” Monthly Weather Rev., vol. 132, no. 4, 2004, pp. 897–914.
    • (2004) Monthly Weather Rev. , vol.132 , Issue.4 , pp. 897-914
    • Barker, D.M.1
  • 5
    • 64149103612 scopus 로고    scopus 로고
    • Four-Dimensional Variational Data Assimilation for WRF: Formulation and Preliminary Results
    • X.Y. Huang et al., “Four-Dimensional Variational Data Assimilation for WRF: Formulation and Preliminary Results,” Monthly Weather Rev., vol. 137, no. 1, 2009, pp. 299–314.
    • (2009) Monthly Weather Rev. , vol.137 , Issue.1 , pp. 299-314
    • Huang, X.Y.1
  • 6
    • 0028193070 scopus 로고
    • Sequential Data Assimilation with a Nonlinear Quasi-Geostrophic Model Using Monte Carlo Methods to Forecast Error Statistics
    • G. Evensen, “Sequential Data Assimilation with a Nonlinear Quasi-Geostrophic Model Using Monte Carlo Methods to Forecast Error Statistics,” J. Geophysical Research, vol. 99, no. C5, 1994, pp. 143–162.
    • (1994) J. Geophysical Research , vol.99 , Issue.C5 , pp. 143-162
    • Evensen, G.1
  • 7
    • 0141571533 scopus 로고    scopus 로고
    • Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter
    • C. Snyder and F. Zhang, “Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter,” Monthly Weather Rev., vol. 131, no. 7, 2003, pp. 1663–1677.
    • (2003) Monthly Weather Rev. , vol.131 , Issue.7 , pp. 1663-1677
    • Snyder, C.1    Zhang, F.2
  • 8
    • 44449094042 scopus 로고    scopus 로고
    • Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part III: Comparison with 3DVAR in a Real-Data Case Study
    • Z. Meng and F. Zhang, “Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part III: Comparison with 3DVAR in a Real-Data Case Study,” Monthly Weather Rev., vol. 136, no. 2, 2008, pp. 522–540.
    • (2008) Monthly Weather Rev. , vol.136 , Issue.2 , pp. 522-540
    • Meng, Z.1    Zhang, F.2
  • 9
    • 68249160487 scopus 로고    scopus 로고
    • Cloud-Resolving Hurricane Initialization and Prediction through Assimilation of Doppler Radar Observations with an Ensemble Kalman Filter: Humberto
    • F. Zhang et al., “Cloud-Resolving Hurricane Initialization and Prediction through Assimilation of Doppler Radar Observations with an Ensemble Kalman Filter: Humberto,” Monthly Weather Rev., vol. 137, no. 7, 2009, pp. 2105–2125.
    • (2009) Monthly Weather Rev. , vol.137 , Issue.7 , pp. 2105-2125
    • Zhang, F.1
  • 10
    • 68249159687 scopus 로고    scopus 로고
    • Improving Incremental Balance in the GSI 3DVAR Analysis System
    • D.T. Kleist et al., “Improving Incremental Balance in the GSI 3DVAR Analysis System,” Monthly Weather Rev., vol. 137, no. 3, 2009, pp. 1046–1060.
    • (2009) Monthly Weather Rev. , vol.137 , Issue.3 , pp. 1046-1060
    • Kleist, D.T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.