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Volumn 11, Issue 1, 2010, Pages 51-58

The relative impact of meteorological observations in the Norwegian regional model as determined using an energy norm-based approach

Author keywords

3DVAR; Forecast sensitivity; LAM; Satellite observations

Indexed keywords

FORECASTING METHOD; MICROWAVE IMAGERY; OBSERVATIONAL METHOD; REGIONAL CLIMATE; SATELLITE IMAGERY; SENSITIVITY ANALYSIS; TROPICAL METEOROLOGY; TROPOSPHERE; WEATHER FORECASTING;

EID: 77954448952     PISSN: None     EISSN: 1530261X     Source Type: Journal    
DOI: 10.1002/asl.257     Document Type: Article
Times cited : (13)

References (16)
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  • 9
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    • Estimation of observation impact using the NRL atmospheric variational data assimilation adjoint system
    • Langland RH, Baker NL. 2004. Estimation of observation impact using the NRL atmospheric variational data assimilation adjoint system. Tellus 56A: 189-201.
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    • Langland, R.H.1    Baker, N.L.2
  • 10
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    • Observing system experiments using the AFGL four-dimensional data assimilation system
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    • (1989) Monthly Weather Review , vol.117 , pp. 2186-2203
    • Louis, J.-F.1    Hoffman, R.N.2    Nehrkorn, T.3    Norquist, D.4
  • 13
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    • Constant pressure balloon-satellite observing system simulation experiments
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  • 14
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    • Aladin-Harmonie/Norway and its assimilation system: the implementation phase
    • Available at
    • Randriamampianina R, Storto A. 2008. ALADIN-HARMONIE/Norway and its assimilation system: the implementation phase. HIRLAM Newsletter 54: 20-30. Available at: http://www.hirlam.org.
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    • Randriamampianina, R.1    Storto, A.2
  • 15
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    • A posteriori validation applied to the 3D-VAR Arpège and Aladin data assimilation systems
    • Sadiki W, Fischer C. 2005. A posteriori validation applied to the 3D-VAR Arpège and Aladin data assimilation systems. Tellus 57A: 21-34.
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  • 16
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    • An impact study of five remotely sensed and five in situ data types in the Eta data assimilation system
    • Zapotocny TH, Menzel WP, Nelson JP, Jung JA. 2002. An impact study of five remotely sensed and five in situ data types in the Eta data assimilation system. Weather and Forecasting 17: 263-285.
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    • Zapotocny, T.H.1    Menzel, W.P.2    Nelson, J.P.3    Jung, J.A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.