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Volumn 56, Issue 8, 2008, Pages 1147-1153

Modelling of forecast errors in geophysical fluid flows

Author keywords

Data assimilation; Forecast error covariances; Meterology; Potential vorticity; Shallow water equations; Unified model

Indexed keywords

DATA PROCESSING; FORECASTING; METEOROLOGY; PROBABILITY DENSITY FUNCTION; VORTICITY;

EID: 40749112719     PISSN: 02712091     EISSN: 10970363     Source Type: Journal    
DOI: 10.1002/fld.1618     Document Type: Conference Paper
Times cited : (9)

References (9)
  • 2
    • 40749093089 scopus 로고    scopus 로고
    • A comparison of potential vorticity-based and vorticity-based control variables
    • 8/2006, Department of Mathematics, University of Reading, 1-34. Available at
    • Katz D, Lawless AS, Nichols NK, Cullen MJP, Bannister RN. A comparison of potential vorticity-based and vorticity-based control variables. Numerical Analysis Report 8/2006, Department of Mathematics, University of Reading, 2006; 1-34. Available at www.maths.rdg.ac.uk/ research/publications/Na_reports.asp.
    • (2006) Numerical Analysis Report
    • Katz, D.1    Lawless, A.S.2    Nichols, N.K.3    Cullen, M.J.P.4    Bannister, R.N.5
  • 3
    • 0141688455 scopus 로고    scopus 로고
    • Four dimensional variational data assimilation: A new formulation of the background-error covariance matrix based on a potential vorticity representation
    • Cullen MJP. Four dimensional variational data assimilation: a new formulation of the background-error covariance matrix based on a potential vorticity representation. The Quarterly Journal of the Royal Meteorological Society 2003; 129(593):2777-2796.
    • (2003) The Quarterly Journal of the Royal Meteorological Society , vol.129 , Issue.593 , pp. 2777-2796
    • Cullen, M.J.P.1
  • 7
    • 40749114576 scopus 로고    scopus 로고
    • Part 1: Transforms
    • The implementation of a PV-based leading control variable in variational data assimilation, 1-29. Available at
    • Bannister RN, Cullen MJP. The implementation of a PV-based leading control variable in variational data assimilation. Part 1: transforms. DARC Technical Report, vol. 6, 2003; 1-29. Available at darc.nerc.ac.uk/int℘t_6/PVcv.pdf.
    • (2003) DARC Technical Report , vol.6
    • Bannister, R.N.1    Cullen, M.J.P.2
  • 8
    • 85040897227 scopus 로고
    • Cambridge University Press: Cambridge, MA
    • Daley R. Atmospheric Data Analysis. Cambridge University Press: Cambridge, MA, 1991.
    • (1991) Atmospheric Data Analysis
    • Daley, R.1
  • 9
    • 0035071863 scopus 로고    scopus 로고
    • The statistical structure of forecast errors and its representation in the Met Office global 3-dimensional variational data assimilation system
    • Ingleby NB. The statistical structure of forecast errors and its representation in the Met Office global 3-dimensional variational data assimilation system. The Quarterly Journal of the Royal Meteorological Society 2001; 127(571): 209-231.
    • (2001) The Quarterly Journal of the Royal Meteorological Society , vol.127 , Issue.571 , pp. 209-231
    • Ingleby, N.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.