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Volumn 129, Issue 4, 2001, Pages 818-834

Coupling neural networks to incomplete dynamical systems via variational data assimilation

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; MATHEMATICAL ANALYSIS; MODEL; OSCILLATION; WEATHER;

EID: 0035303123     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0493(2001)129<0818:CNNTID>2.0.CO;2     Document Type: Article
Times cited : (25)

References (32)
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  • 17
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    • Simulated annealing-A tool for data assimilation into an almost steady model state
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    • Variational algorithms for analysis and assimilation of meteorology observations: Theoretical aspects
    • (1986) Tellus , vol.38 A , pp. 97-110
    • Le Dimet, F.1    Talagrand, O.2
  • 20
    • 0032469985 scopus 로고    scopus 로고
    • On determining initial conditions and parameters in a simple coupled model by adjoint data assimilation
    • (1998) Tellus , vol.50 A , pp. 534-544
    • Lu, J.1    Hsieh, W.W.2
  • 23
    • 0031944948 scopus 로고    scopus 로고
    • Practical and theoretical aspects of adjoint parameter estimation and identifiability in meteorology and oceanography
    • (1998) Dyn. Atmos. Oceans , vol.27 , pp. 55-79
    • Navon, I.M.1
  • 32
    • 0345148330 scopus 로고    scopus 로고
    • Impact of key parameters estimation on the performance of the FSU spectral model using the full physics adjoint
    • (1999) Mon. Wea. Rev , vol.127 , pp. 1497-1517
    • Zhu, Y.1    Navon, I.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.