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Estimates of Analysis and Forecast Error Variances Derived from the Adjoint of 4D-VarMOORE, Andrew M; ARANGO, Hernan G; BROQUET, Gregoire et al.Monthly weather review. 2012, Vol 140, Num 10, pp 3183-3203, issn 0027-0644, 21 p.Article

On the dynamical consistency of geometrically approximated equations for geophysical fluids in arbitrary coordinatesCHARRON, Martin; ZADRA, Ayrton.Quarterly Journal of the Royal Meteorological Society. 2014, Vol 140, Num 683, pp 2078-2083, issn 0035-9009, 6 p., bArticle

Restoring holographic dark energy in brane cosmologySARIDAKIS, E. N.Physics letters. Section B. 2008, Vol 660, Num 3, pp 138-143, issn 0370-2693, 6 p.Article

Derivative-free optimization for large-scale nonlinear data assimilation problemsGRATTON, S; LALOYAUX, P; SARTENAER, A et al.Quarterly Journal of the Royal Meteorological Society. 2014, Vol 140, Num 680, pp 943-957, issn 0035-9009, 15 p.Article

Analysis of cycled 4D-Var with model errorCULLEN, M. J. P.Quarterly Journal of the Royal Meteorological Society. 2013, Vol 139, Num 675, pp 1473-1480, issn 0035-9009, 8 p.Article

Unified description of deconfined QCD equation of stateIPP, A; KAJANTIE, K; REBHAN, A et al.Journal of physics. G. Nuclear and particle physics (Print). 2007, Vol 34, Num 8, issn 0954-3899, S631-S634Conference Paper

Gaussian quadrature 4D-VarSTAPPERS, R. J. J; BARKMEIJER, J.Quarterly Journal of the Royal Meteorological Society. 2013, Vol 139, Num 675, pp 1462-1472, issn 0035-9009, 11 p.Article

Using Jacobian sensitivities to assess a linearization of the relaxed Arakawa-Schubert convection schemeHOLDAWAY, D; ERRICO, R.Quarterly Journal of the Royal Meteorological Society. 2014, Vol 140, Num 681, pp 1319-1332, issn 0035-9009, 14 p., bArticle

Operational implementation of a hybrid ensemble/4D-Var global data assimilation system at the Met OfficeCLAYTON, A. M; LORENC, A. C; BARKER, D. M et al.Quarterly Journal of the Royal Meteorological Society. 2013, Vol 139, Num 675, pp 1445-1461, issn 0035-9009, 17 p.Article

A demonstration of 4D-Var using a time-distributed background termCULLEN, M. J. P.Quarterly Journal of the Royal Meteorological Society. 2010, Vol 136, Num 650, pp 1301-1315, issn 0035-9009, 15 p.Article

Four-dimensional construction of bulk supersymmetry breakingKOBAYASHI, T; MARU, N; YOSHIOKA, K et al.The European physical journal. C, Particles and fields. 2003, Vol 29, Num 2, pp 277-284, 8 p.Article

Adaptive Ensemble Covariance Localization in Ensemble 4D-VAR State EstimationBISHOP, Craig H; HODYSS, Daniel.Monthly weather review. 2011, Vol 139, Num 4, pp 1241-1255, issn 0027-0644, 15 p.Article

A demonstration of cycled 4D-Var in the presence of model errorCULLEN, M. J. P.Quarterly Journal of the Royal Meteorological Society. 2010, Vol 136, Num 651, pp 1379-1395, issn 0035-9009, 17 p., bArticle

Asynchronous data assimilation with the EnKFSAKOV, Pavel; EVENSEN, Geir; BERTINO, Laurent et al.Tellus. Series A, Dynamic meteorology and oceanography. 2010, Vol 62, Num 1, pp 24-29, issn 0280-6495, 6 p.Article

On variational data assimilation in continuous timeBRÖCKER, Jochen.Quarterly Journal of the Royal Meteorological Society. 2010, Vol 136, Num 652, pp 1906-1919, issn 0035-9009, 14 p., aArticle

Space/time non-commutative field theories and causalityBOZKAYA, H; FISCHER, P; GROSSE, H et al.The European physical journal. C, Particles and fields. 2003, Vol 29, Num 1, pp 133-141, 9 p.Article

Mapping the spin-density and lineshape distribution of free radicals using 4D spectral-spatial EPR imagingKUPPUSAMY, P; CHZHAN, M; SAMOUILOV, A et al.Journal of magnetic resonance. Series B (Print). 1995, Vol 107, Num 2, pp 116-125, issn 1064-1866Article

A Multidimensional Spectral Description of Ocean VariabilityWORTHAM, Cimarron; WUNSCH, Carl.Journal of physical oceanography. 2014, Vol 44, Num 3, pp 944-966, issn 0022-3670, 23 p.Article

Preconditioning of variational data assimilation and the use of a bi-conjugate gradient methodEL AKKRAOUI, Amal; TREMOLET, Yannick; TODLING, Ricardo et al.Quarterly Journal of the Royal Meteorological Society. 2013, Vol 139, Num 672, pp 731-741, issn 0035-9009, 11 p., aArticle

Experiments of GPS slant path data assimilation with an advanced MM5 4DVAR systemZUS, Florian; WICKERT, Jens; STEFAN BAUER, Hans et al.Meteorologische Zeitschrift (Stuttgart). 2011, Vol 20, Num 2, pp 173-184, issn 0941-2948, 12 p.Article

Impact of different ozone sounding networks on a 4D-Var stratospheric data assimilation systemBAIER, F; ERBERTSEDER, T; ELBERN, H et al.Quarterly Journal of the Royal Meteorological Society. 2013, Vol 139, Num 677, pp 2055-2067, issn 0035-9009, 13 p., bArticle

Importance of using ensemble estimated background error covariances for the quality of atmospheric ozone analysesMASSART, S; PIACENTINI, A; PANNEKOUCKE, O et al.Quarterly Journal of the Royal Meteorological Society. 2012, Vol 138, Num 665, pp 889-905, issn 0035-9009, 17 p.Article

On the use of EDA background error variances in the ECMWF 4D-VarBONAVITA, Massimo; ISAKSEN, Lars; HOLM, Elias et al.Quarterly Journal of the Royal Meteorological Society. 2012, Vol 138, Num 667, pp 1540-1559, issn 0035-9009, 20 p.Article

A POD-based ensemble four-dimensional variational assimilation methodXIANGJUN TIAN; ZHENGHUI XIE; QIN SUN et al.Tellus. Series A, Dynamic meteorology and oceanography. 2011, Vol 63, Num 4, pp 805-816, issn 0280-6495, 12 p.Article

4DEnVar: link with 4D state formulation of variational assimilation and different possible implementationsDESROZIERS, Gérald; CAMINO, Jean-Thomas; BERRE, Loïk et al.Quarterly Journal of the Royal Meteorological Society. 2014, Vol 140, Num 684, pp 2097-2110, issn 0035-9009, 14 p.Article

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