Geoscience Reference
In-Depth Information
Belo-Pereira M, Berre L (2006) The use of ensemble approach to study the background error
covariances in a global NWP model. Mon Weather Rev 134:2466
Berre L, Desroziers G (2010) Filtering of background error variances and correlations by local
spatial averraging: a review. Mon Weather Rev 138:3693
Bishop C, Hodyss D (2007) Flow adaptive moderation of spurious ensemble correlations and its
use in ensemble data assimilation. Q J R Meteorol Soc 133:2029
Bishop C, Hodyss D (2011) Adaptive ensemble covariance localization in ensemble 4D-VAR
estimation. Mon Weather Rev 139:1241
Carrier M, Ngodock H (2010) Background error correlation model based on the implicit solution
of a diffusion equation. Ocean Model 35:45-53
Derber J, Rosati A (1989) A global oceanic data assimilation system. J Phys Oceanogr 19:1333
Di Lorenzo E, Moore AM, Arango HG, Cornuelle BD, Miller AJ, Powell BS, Chua BS, Bennett
AF (2007) Weak and strong constraint data assimilation in the Inverse Ocean Modelling System
(ROMS): development and application for a baroclinic coastal upwelling system. Ocean Model
16:160
Dong S-J, Liu K-F (1994) Stochastic estimation with Z 2 noise. Phys Lett B 328:130-136
Egbert GD, Bennett AF, Foreman MGG (1994) Topex/Poseidon tides estimated using a global
inverse model. J Geophys Res 99:24821
Gaspari G, Cohn SE, Guo J, Pawson S (2006) Construction and application of covariance functions
with variable length-fields. Q J R Meteorol Soc 132:1815
Girard DF (1987) Un algorithme simple et rapide pour la validation croissee generalisee sur des
problemes de grande taillee. RR 669-M, Grenoble, France: Informatique et Mathematiques
Appliquees de Grenoble
Gregori P, Porcu E, Mateu J, Sasvari Z (2008) On potentially negative space time covariances
obtained as sum of products of marginal ones. Ann Inst Stat Math 60:865
Gusynin VP, Kushnir VA (1991) On-diagonal heat kernel expansion in covariant derivatives in
curved space. Class Quantum Gravity 8:279-285
Hristopulos DT, Elogne SN (2007) Analytic properties and covariance functions of a new class of
generalized Gibbs random fields. IEEE Trans Inf Theory 53:4467-4679
Hristopulos DT, Elogne SN (2009) Computationally efficient spatial interpolators based on Spartan
spatial random fields. IEEE Trans Signal Process 57:3475-3487
Hutchison MF (1989) A stochastic estimator of the trace of the influence matrix for laplacian
smoothing splines. J Commun Stat Simul 18:1059-1076
Martin P, Barron C, Smedstad L, Wallcraft A, Rhodes R, Campbell T, Rowley C (2008) Software
design description for the navy coastal ocean model (NCOM) Ver. 4.0. Naval Research
Laboratory Report NRL/MR/7320-08-9149, p 151
Mirouze I, Weaver A (2010) Representation of the correlation functions in variational data
assimilation using an implicit diffusion operator. Q J R Meteorol Soc 136:1421
Ngodock HE, Chua BS, Bennett (2000) Generalized inversion of a reduced gravity primitive
equation ocean model and tropical atmosphere ocean data. Mon Weather Rev 128:1757
Pannekoucke O, Massart S (2008) Estimation of the local diffusion tensor and normalization for
heterogeneous correlation modelling using a diffusion equation. Q J R Meteorol Soc 134:1425
Pannekoucke O, Berre L, Desroziers G (2008) Background-error correlation length-scale estimates
and their sampling statistics. Q J R Meteorol Soc 134:497
Purser RJ (2008a) Normalization of the diffusive filters that represent the inhomogeneous covari-
ance operators of variational assimilation, using asymptotic expansions and the techniques
of non-euclidean geometry: part I: analytic solutions for symmetrical configurations and the
validation of practical algorithms. NOAA/NCEP Office Note 456, p 48
Purser RJ (2008b) Normalization of the diffusive filters that represent the inhomogeneous covari-
ance operators of variational assimilation, using asymptotic expansions and the techniques of
non-euclidean geometry: part II: Riemannian geometry and the generic parametrix expansion
method. NOAA/NCEP Office Note 457, p 55
Search WWH ::




Custom Search