Paper list
Last updated 11/12/10. A7000 Rdg.This list is in preparation
| Author(s) | Title | Reference | Comments |
A | |||
| Abbas M.M., Michelsen H.A., Gunson M.R., Abrams M.C., Newchurch M.J., Salawitch R.J., Chang A.Y., Goldman A., Irion F.W., Manney G.L., Moyer E.J., Nagaraju R., Rinsland C.P., Stiller G.P., Zander R. | Seasonal variations of water vapour in the lower stratosphere inferred from ATMOS/ATLAS-3 measurements of H2O and CH4 | Geophys. Res. Lett. 23 pp.2401-2404 (1996) |
|
| Alves O., Robert C. | Tropical Pacific Ocean model error covariances from Monte Carlo simulations | Q.J.R.Meteor.Soc. 131 pp.3643-3658 (2005) | Ensemble Kalman filter
|
| Anderson J.L. | Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter | Physica D 230 pp.99-111 (2007) |
|
| Andersson E., Haseler J., Unden P., Courtier P., Kelly G., Vasiljevic D., Brankovic C., Cardinali C., Gaffard C., Hollingsworth A, Jakob C., Janssen P., Klinker E., Lanzinger A., Miller M., Rabier F., Simmons A., Strauss B., Theoaut J-N., Viterbo P. | The ECMWF implementation of three-dimensional variational assimilation (3D-Var). Part III: experimental results | Q.J.R.Meteor.Soc. 124 pp.1831-1860 (1998) |
|
| Andersson E., Fisher M., Munro R., McNally A. | Diagnosis of background errors for radiances and other observable quantities in a variational data assimilation system, and the explanation of a case of poor convergence | Q.J.R.Meteor.Soc. 126 pp.1455-1472 (2000) | Randomization method
(Do not have this paper) |
| Andersson E., Jarvinen H. | Variational quality control | Q.J.R.Meteor.Soc. 125 pp. 697-722 (1999) | Non-Gaussian
|
| Argaud J.-P., Bouriquet B., Hunt J. | Data assimlation from operational and industrial applications to complex systems | Global System Dynamics (2008/9?) | ECMI 2008 conference
|
| Author(s) | Title | Reference | Comments |
B | |||
| Baker W.E., Bloom S.C., Woollen J.S., Nestler M.S., Brin E., Schlatter T.W., Branstator G.W. | Experiments with a three-dimensional statistical objective analysis scheme using FGGE data | Mon. Wea. Rev. 115 pp.272-296 (1987) |
|
| Baldwin M.P., Gray L.J., Dunkerton T.J., Hamilton K., Haynes P.H., Randel W.J., Holton J.R., Alexander M.J., Hirota I., Horinouchi T., Jones D.B.A., Kinnersley J.S., Marquardt C., Sato K., Takahashi M. | The quasi-biennial oscillation | Rev. Geophys. 39 pp.179-229 (2001) |
|
| Balgovind R., Dalcher A., Ghil M., Kalnay E. | A stochastic model for the spatial structure of forecast error statistics | Mon. Wea. Rev. 111 pp.701-722 (1983) | Rossby radius
|
| Bannister R.N. | Can wavelets improve the representation of forecast error covariances in variational data assimilation? | Mon. Wea. Rev. 135 pp.387-408 (2007) |
|
| Bannister R.N. | A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characteristics and measurements of forecast error covariances | Q.J.R.Meteor.Soc. 134 pp. 1951-1970 (2008) | Background error statistics, balance, calibration, multivariate, separability
|
| Bannister R.N. | A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance stastics | Q.J.R.Meteor.Soc. 134 pp. 1971-1996 (2008) | Balance, control variable transforms, flow dependency, multivariate
|
| Bannister R.N. | Issues in the assimlation of sources of a trace gas by inverse modelling | Comput Fluids doi:10.1016/j.compfluid.2010.11.017 | Inverse modelling, cost function, B-matrix
|
| Bannister R.N., Katz D., Cullen M.J.P., Lawless A.S., Nichols N.K. | Modelling of forecast errors in geophysical fluid flows | Int. J. Numer. Meth. Fluids 56 pp. 1147-1153 (2008) |
|
| Bannister R.N., O'Neill A., Gregory A.R., Nissen K.M. | The role of the south-east Asian monsoon and other seasonal features in creating the 'tape-recorder' signal in the Unified Model | Q.J.R.Meteor.Soc. 130 pp.1531-1554 (2004) | General circulation model, Stratosphere-tropopsphere exchange, Stratospheric water vapour, Tropical tropopause
|
| Barker D. M., Huang W., Guo Y.-R., Bourgeois A.J., Xiao Q.N. | A three-dimensional variational data assimilation system for MM5: implementation and initial results | Mon. Wea. Rev. 132 pp.897-914 (2004) |
|
| Barker D.M. | Southern high-latitude ensemble data assimilation in the Antarctic Mesoscale Prediction System | Mon. Wea. Rev. 133 pp.3431-3449 (2005) |
|
| Barker D.M., Lorenc A.C. | The use of synoptically-dependent background error structures in 3dVar. | Var. Scientific Documentation Paper 26 pp.1-11 (2005 (and 1999)) | Errors of the day
|
| Barkmeijer J.M., van Gijzen, Bouttier F. | Singular vectors and estimates of the analysis error covariance metric | Q. J. Royal. Met. Soc. 124 pp.1695-1713 (1998) |
Referenced by Fisher and Andersson, 2001 |
| Barkmeijer J., Buizza R., Palmer T.N. | 3d-Var Hessian singular vectors and their potential use in the ECMWF ensemble prediction system | Q.J.R. Meteor. Soc. 125 pp.2333-2351 (1999) |
Referenced by Fisher and Andersson, 2001 |
| Bartello P., Mitchell H.L. | A continuous three-dimensional model of short-range forecast error covariances | Tellus 44A pp.217-235 (1992) |
|
| Bartello P. | Geostrophic adjustment and inverse cascades in rotating stratified turbulence | J. Atmos. Sci. 52 pp.4410-4428 (1995) |
|
| Barwell B.R., Bromley R.A. | The adjustment of numerical weather prediction models to local perturbations | Q.J.R.Meteor.Soc. 114 pp. 665-689 (1988) |
|
| Bates J.J., Jackson D.L. | Trends in upper tropospheric humidity | Geophys. Res. Lett. 28 pp.1695-1698 (2001) |
|
| Beck A., Ehrendorfer M. | Singular vector-based covariance propagation in a quasigeostrophic assimilation system | Mon. Wea. Rev. 133 pp.1295-1310 (2005) | Reduced rank Kalman filter
|
| Benedetti A., Stephens G.L., Tomislava V. | Variational assimilation is radar reflectivities in a cirrus model. I: Model description and adjoint sensitivity studies | Q.J.R.Meteor.Soc. 129 pp.277-300 (2003) | Adjoint sensitivity studies, Cirrus microphysics model, Radar data assimilation
|
| Benedetti A., Stephens G.L., Tomislava V. | Variational assimilation is radar reflectivities in a cirrus model. II: Optimal initialization and model bias estimation. | Q.J.R.Meteor.Soc. 129 pp.301-319 (2003) | Cirrus cloud modelling, Radar data assimilation, Variational retrievals
Model error |
| Bengtsson L., Hagemann S., Hodges K.I. | Can climate trends be calculated from reanalysis data? | J. GeoPhys. Res. 109 D11111 pp.1-8 (2004) |
|
| Benjamin S.G., Brewster K.A., Brummer R., Jewett B.F., Schlatter T.W., Smith T., Stamus P.A. | An isentropic three-hourly data assimilation system using ACARS observations | Mon. Wea. Rev. 119 pp.888-906 (1991) | Isentropic co-ordinates
|
| Berre L. | Estimation of synoptic and mesoscale forecast error covariances in a limited area model | Mon. Wea. Rev. 128 pp.644-667 (2000) | Diminishing geostrophic balance
|
| Berre L., Stefanescu S.E., Pereira M.B. | The representation of the analysis effect in three error simulation techniques | Tellus 58A pp.196-209 (2006) | NMC, Lagged NMC, Ensemble
|
| Berrisford P., Brugge R., Li D., Steenman-Clark L. | Diagnosis of the ECMWF re-analysis dataset by the centre for global atmospheric modelling | pp.13 (1998) |
|
| Berrisford P. | Isentropic potential vorticity inversions on the hemisphere | pp.21 (2002) | PV conservation, PV inversion, Invertibility
|
| Berrisford P. | A case study of cyclogenesis in an isentropic PV model | Submitted pp. (2007) |
|
| Bishop C.H., Etherton B.J., Majumdar S.J. | Adaptive sampling with the ensemble transform Kalman filter. Part I: theoretical aspects | Mon. Wea. Rev. 129 pp.420-436 (2001) |
|
| Bishop C.H., Hodyss D. | Flow-adaptive moderation of spurious ensemble correlations and its use in ensemble-based data assimilation | Q.J.R. Meteorol. Soc. 133 pp. 2029-2044 (2007) | Covariance localization, local ensemble Kalman filter, smoother, SENCORP
|
| Bishop C.H., Hodyss D. | Ensemble covariances adaptively localized with ECO-RAP, Part 1: tests on simple error models | Tellus 61A pp. 84-96 (2009) | Adaptive localization
|
| Bishop C.H., Hodyss D. | Ensemble covariances adaptively localized with ECO-RAP, 2: a strategy for the atmosphere | Tellus 61A pp. 97-111 (2009) | Adaptive localization
|
| Bloom S.C., Takacs L.L., da Silva A.M., Ledvina D. | Data assimilation using incremantal analysis updates | Mon. Wea. Rev. 124 pp.1256-1271 (1996) | IAU
(Do not have this paper) |
| Bocquet M. | Reconstruction of an atmospheric tracer source using the principle of maximum entropy. I: theory | Q.J.R. Meteorol. Soc. 131 pp.2191-2208 (2005) | Sources and sinks
Adjoint equations |
| Bonavita M., Raynaud L., Isaksen L. | Estimating background-error variances with ECMWF ensemble of data assimilations systems: some effects of ensemble size and day-to-day variability | Q.J.R.Meteor.Soc. 137, pp. 423-434 (2011) | ensemble of data assimilations, Sampling noise, Ensemble effective resolution
|
| Bourke W. | An efficient, one level, primitive equation spectral model | Mon. Wea. Rev. 100 pp.683-691 (1972) | Spherical harmonics, Associated Legendre polynomials
First prinicples |
| Bouttier F. | Application of Kalman filtering to numerical weather prediction | Proceedings of the 1996 ECMWF seminar on data assimilation pp.61-90 (1996) |
Mentions weak justification for NMC method |
| Bouttier F. | The AROME mesoscale project | Proceedings of the 2003 ECMWF seminar on Recent developments in data assimilation for atmosphere and ocean pp.433-448 (2003) |
|
| Bowler N.E., Arribas A., Mylne K.R., Robertson K.B., Beare S.E. | The MOGREPS short-range ensemble prediction system | Q.J.R.Meteor.Soc. 134 pp.703-722 (2008) | ETKF
|
| Brewer A.W. | Evidence for a world circulation provided by the measurements of helium and water vapour distributions in the stratosphere | Q.J.R.Meteor.Soc. 75 pp.351-363 (1949) |
|
| Brooks M. | Can you believe the weather? | New Scientist pp.32-35 (2007) | Performance statistics
|
| Brousseau P., Berre L., Bouttier F., Desroziers G. | Background error covariances for a convective-scale data assimilation system: AROME-France 3D-Var | Q.J.R.Meteor.Soc. 137, pp. 409-422 (2011) | Perturbed observations
|
| Budd C.J., Williams J.F. | Moving mesh generation using the parabolic Monge-Ampere equation | 30 pp. (2008) |
|
| Buehner M. | Ensemble derived stationary and flow dependent background error covariances: Evaluation in a quasi-operational NWP setting | Q.J.R.Meteor.Soc. 131 pp.1013-1043 (2005) | NMC, Monte Carlo
|
| Buehner M., Gauthier P., Liu Z. | Evaluation of new estimates of background and observation error covariances for variational assimilation | Q.J.R.Meteor.Soc. 131 pp.3373-3384 (2005) | NMC
|
| Buehner M., Charron M. | Spectral and spatial localization of background-error correlations for data assimilation | Q.J.R.Meteor.Soc. 133 pp.615-630 (2007) |
|
| Buehner M. | Evaluation of spatial/spectral covariance localization approach for atmospheric data assimilation | Wavelet-diagonal, ensemble
|
|
| Author(s) | Title | Reference | Comments |
C | |||
| Cardinali C. | Monitoring the observation impact on the short-range forecast | Q.J.R.Meteor.Soc. 135 pp. 239-250 (2009) |
|
| Caron J.-F., Fillion L. | An examination of the incremental balance in a global ensemble-based 3D-Var data assimilation system | Submitted Mon. Wea. Rev. (Jan. 2010) |
|
| Carouge C., Bousquet P., Peylin P., Rayner P.J., Ciais P. | What can we learn from European continuous atmospheric CO2 measurements to quantify regional fluxes - Part 1: Potential of the 2001 network | Atmos. Chem. Phys. 10 pp. 3107-3117 (2010) |
|
| Carouge C., Rayner P.J., Peylin P., Bousquet P., Chevallier F., Ciais P. | What can we learn from European continuous atmospheric CO2 measurements to quantify regional fluxes - Part 2: Sensitivity of flux accuracy to inverse setup | Atmos. Chem. Phys. 10 pp. 3119-3129 (2010) |
|
| Carter A.H. | A class of inverse problem in physics | Am. J. Phys. 68 pp.698-703 (2000) | Inverse problem
Teaching journal |
| Charlton A.J., O'Neill A.O., Berrisford P., Lahoz W.A. | Can the dynamical impact of the stratosphere on the troposphere be described by large-scale adjustment to the stratospheric PV distribution? | Q.J.R.Meteor.Soc. pp. () | Arctic oscillation, PV inversion
|
| Charney J.G., Drazin P.G. | Propagation of planetary-scale disturbances from the lower into the upper atmosphere | J. Geophys. Res. 66 pp.83-109 (1961) |
Longer lengthscales in stratosphere due to forcing |
| Chen X., Akella S., Navon I.M. | A dual-weighted trust-region adaptive POD 4-D Var applied to a finite-volume shallow water equations model on the sphere | International Journal for Numerical Methods in Fluids DOI: 10.1002/fld.2523 (2011) | Proper orthogonal decomposition
|
| Cheng H., Jardak M., Alexe M., Sandu A. | A hydrid approach to estimating error covariances in variational data assimilation | Tellus 62A, pp. 288-297 | Replace 4d-var error reduction directions with inverse Hessian. Galerkin projection.
|
| Chevallier F., Breon F.-M., Rayner P.J. | Contribution of the Orbiting Carbon Observatory to the estimation of CO2 source and sinks: theoretical study in a variational data assimilation framework | J. GeoPhys. Res. 112 pp. 1-11 (2007) |
|
| Chevallier F., Feng L., Bosch H., Palmer P.I., Rayner P.J. | On the impact of transport model errors for the estimation of CO2 surface fluxes from GOSAT observations | 2010? |
|
| Chevallier F., Lopez P., Tompkins A.M., Janiskova M., Moreau E. | The capability of 4d-Var systems to assimilate cloud-affected satellite infrared radiances | Q.J.R.Meteor.Soc. 130 pp.917-932 (2004) | Clouds, Satellite observations
|
| Chown M. | Chaotic heavens | New Scientist 28 Feb pp.32-35 (2004) | Planetary allignment
|
| Christakos G. | On the assimilation of uncertain physical knowledge bases: Bayesian and non-Bayesian techniques | Adv. in Water Resources 25 pp.1257-1274 (2002) | Conditionalization, Chernobyl
|
| Christakos G. | Critical conceptualism in environmental modeling and prediction | Environ. Sci. Technol. 37 pp.4685-4693 (2003) |
|
| Christakos G. | Methodological developments in geophysical assimilation modelling | Rev. Geophys. 43 pp.10 (2005) | Epistemic cognition vs. ontologic assimilation
|
| Clark P. | Limited area modelling in CRM mode | ECMWF Seminar on Parametrization of Subgrid Physical Processes, 1-4 September (2008) |
|
| Cohn S., Da Silva A., Guo J., Sienkiewicz M., Lamich D. | Assessing the effects of data selection with the DAO physical-space statistical analysis system | Mon. Wea. Rev. 126 pp.2913-2926 (1998) | PSAS
|
| Corazza M., Kalnay E., Patil D.J., Yang S.-C., Morss R., Cai M., Szunyogh I., Hunt B.R., Yorke J.A. | Use of the breeding technique to estimate the structure of the analysis "errors of the day" | Nonlinear Processes in Geophysics 10 pp.233-243 (2003) |
Errors of the day |
| Courtier P., Thepaut J.N., Hollingsworth A. | A strategy for operational implementation of 4d-Var, using an incremental approach | Q.J.R.Meteor.Soc. 120 pp.1367-1387 (1994) |
|
| Courtier P., Rabier F. | The use of adjoint equations in numerical weather prediction | In Numerical methods in atmosphere and ocean modelling. The Andre Robert memorial volume. Eds. Lin C., Laprise R., Ritchie H. pp.303-322 (1997) | Sensitivity
|
| Courtier P., Andersson E., Heckley W., Pailleux J., Vasiljevic D., Hollingsworth A., Fisher M., Rabier F | The ECMWF implementation of three-dimensional variational assimilation (3D-Var). Part I: formulation | Q.J.R.Meteor.Soc. 124 pp.1783-1807 (1998) | Jc term
|
| Cullen M.J.P., Davies T. | A conservative split-explicit integration scheme with fourth-order horizontal advection | Q.J.R.Meteor.Soc. 117 pp. 993-1002 (1991) |
|
| Cullen M.J.P., Davies T., Mawson M.H. | Unified model documentation paper No. 10: Conservative finite difference schemes for a unified forecast/climate model | pp. (1993) |
|
| Cullen M.J.P. | New mathematical developments in atmosphere and ocean dynamics, and their application to computer simulation | Forecasting research scientific paper No. 48 pp.61 (1997) | PV control variable
|
| Cullen M.J.P. | New mathematical developments in atmosphere and ocean dynamics, and their application to computer simulation | pp.84 (2001) | PV control variable
Chapter 8, Figures in FRSP No. 48 |
| Cullen M.J.P. | Use of potential vorticity as a control variable within a 4d variational data assimilation system | ECMWF Tech. Memo (& submitted to Q.J.R.Meteor.Soc.) 358 pp.1-22 (2002) | Mass-wind coupling
Zero mode |
| Cullen M.J.P. | Lecture Notes | pp.21 (2004) | Gravity wave equation
Exeter Univ. lecture notes |
| Cullen M.J.P. | The governing equations and asymptotic approximations to them | Chapter 2 of book pp.9-49 (2004) | SG 3d equations
|
| Cullen M. | Modelling atmospheric flows | Acta Numerica pp.67-154 (2007) |
|
| Cullen M.J.P. | A demonstration of cycled 4D-Var in the presence of model error | Q.J.R.Meteor.Soc. | Model error, Error growth
Three body model |
| Cullen M.J.P. | A demonstration of 4D-Var using a time-distributed background term | Q.J.R.Meteor.Soc. | Background term regularisation
Three body model |
| Author(s) | Title | Reference | Comments |
D | |||
| Daley R. | The effect of serially correlated observations and model error on atmospheric data assimilation | Mon. Wea. Rev. 120 pp.164-177 (1992) | Correlated observations
|
| Daley R., Barker E. | NAVDAS: formulation and diagnostics | Mon. Wea. Rev. 129 pp.869-883 (2001) |
|
| Dalu G.A., Baldi M. | Mesoscale nonhydrostatic and hydrostatic pressure gradient forces - theory | J. Atmos. Sci. 60 pp. 2249-2266 (2003) |
|
| Dance S.L. | Issues in high resolution limited area data assimilation for quantitative precipitation forecasting | Physica D 196 pp.1-27 (2004) |
|
| Danielsen E.F. | A dehydration mechanism for the stratosphere | Geophys. Res. Lett. 9 pp.605-608 (1982) | Convective overshooting
Sigma patterns in T profile |
| Danielsen E.F. | In situ evidence of rapid, vertical irreversible transport of lower tropopspheric air into the lower tropical stratosphere by convective cloud currets and by larger-scale upwelling in tropical cyclones | J.Geophys.Res. 98 pp.8665-8681 (1993) | Convection
|
| Davies T., Cullen M.J.P., Malcolm A.J., Mawson M.H., Staniforth A., White A.A., Wood N. | A new dynamical core for the Met Office's global and regional modelling of the atmosphere | Q.J.R.Meteor.Soc. 131 pp.1759-1782 (2005) | Climate modelling, Deep atmosphere, Fully compressible, Non-hydrostatic, NWP predictor-corrector Semi-implicit, Semi-Lagrangian
|
| Deckmyn A., Berre L. | A wavelet approach to representing background error covariances in a limited area model | Mon. Wea. Rev. 133 pp.1279-1294 (2005) | Hybrid approach
|
| Dee D.P., Da Silva A.M. | The choice of variable for atmospheric moisture analysis | Mon. Wea. Rev. 131 pp.155-171 (2003) | Pseudo relative humidity
|
| Dee D.P., Todling R. | Data assimilation in the presence of forecast bias: the GEOS moisture anaysis | Mon. Wea. Rev. 128 pp.3268-3282 (2000) |
|
| Dee D.P. | An adaptive scheme for cycling background error variances during data assimilation | ECMWF/GEWEX workshop on humidity analysis pp.15 (July 2002) | Error propagation
|
| de Pondeca M.S.F.V., Purser R.J., Parrish D.F., Derber J.C. | Comparison of strategies for the specification of anisotropies in the covariances of a three-dimensional atmospheric data assimilation | ? ? pp.8 pp. (?) |
|
| Derber J., Rosati A. | A global oceanic data assimilation system | J. Phys. Oceanogr. 19 pp. 1333-1347 (1989) | Diffusion operators
|
| Derber J., Bouttier F. | A reformulation of the background error covariance in the ECMWF global data assimilation system | Tellus 51A pp.195-221 (1999) | Var, balance and unbalance
|
| Deshler T., Hervig M.E., Hofmann D.J., Rosen J.M., Liley J.B. | Thirty years of in situ stratospheric aerosol sise distribution measurements from Laramie, Wyoming (41N), using balloon measurements | J. GeoPhys. Res. 108, D5 pp.4-1 - 4-13 (2003) | Volcanic
|
| Desroziers G. | A coordinate change for data assimilation in spherical geometry of frontal structures | Mon. Wea. Rev. 125 pp.3030-3038 (1997) | Semigeostrophic theory, Geostrophic cocordinate transform
Description of B |
| Desroziers G., Berre L., Chapnik B., Poli P. | Diagnosis of observation, background and analysis-error statistics in observation space | Q.J.R.Meteor.Soc. 131 pp. 3385-3396 (2005) | Estimation theory, optimality criterion, parameter estimation
|
| Desroziers G., Lafore J.P. | A coordinate transformation for objective frontal analysis | Mon. Wea. Rev. 121 pp.1531-1553 (1993) | Semigeostrophic theory, Geostrophic cocordinate transform
Description of B |
| Dethof A., O'Neill A., Slingo J.M., Smit H.G.J. | A mechanism for moistening the lower stratosphere involving the Asian summer monsoon | Q.J.R.Meteor.Soc. 125 pp.1079-1106 (1999) | Water vapour
|
| Dethof A., O'Neill A., Slingo J.M., Berrisford P. | Quantification of isentropic water vapour transport into the lower stratosphere | Q.J.R.Meteor.Soc. 126 pp.1771-1788 (2000) | Water vapour
|
| Dethof A., Holm E.V. | Ozone assimilation in the ERA-40 reanalysis project | Quart. J. Roy. Met. Soc. 130 pp.2851-2872 (2004) |
Ozone background error covariances |
| Dixon M.A.G., Thorpe A.J., Browning K.A. | Layer-wise attribution of vertical motion and the influence of potential-vorticity anomalies on synoptic development | Q.J.R.Meteor.Soc. 129 pp.1761-1778 (2003) | Cyclone classification, Cyclogenesis, FASTEX
|
| Dixon M.A.G. | Description of the latent heat nudging scheme | Working Doc. 10 pp.6 (2004) | Mesoscale data assimilation
|
| Dixon M., Li Z., Lean H., Robers N., Ballard S. | Impact of data assimilation on forecasting convection over the United Kingdom using a high-resolution version of the Met Office Unified Model | Mon. Wea. Rev. 137 pp. 1562-1584 (2009) | Latent heat nudging, cloud nudging, VAR
|
| Dubal M.R. | Use of a geostrophic coordinate transform in 3d-var | pp.10 (2001) | Semigeostrophic theory, Geostrophic cocordinate transform
Read with Desroziers |
| Author(s) | Title | Reference | Comments |
E | |||
| Ehrendorfer M., Tribbia J.J. | Optimal prediction of forecast error covariances through singular vectors | J. Atmos. Sci. 54 pp.286-313 (1997) |
|
| Ehrendorfer M., Bouttier F. | An explicit low resolution extended Kalman filter: Implementation and preliminary eperimentation. | ECMWF Tech. Memo. 259 pp.1-x (1998) |
|
| Ehrendorfer M. | A review of issues in ensemble-based Kalman filtering | Meteorol. Z. 16, pp. 795-818 (2007) |
|
| Elbern H., Schmidt H. | Ozone episode by four-dimensional variational chemistry data assimilation | J. GeoPhys. Res. 106 pp.3569-3590 (2001) | Ozone, Chemical data assimilation
|
| Eluszkiewicz J., Hemler R.S., Mahlman J.D., Bruhwiler L., Takacs L.L. | Sensitivity of age-of-air calculations to the choice of advection scheme | J. Atmos. Sci. 57 pp.3185-3201 (2000) | Age of air, Advection schemes
Eurerian, Lagrangian, Semi-Lagrangian comparisons |
| Errico R.M., Bauer P., Mahfouf J.-F. | Issues regarding the assimilation of cloud and precipitation data | J. Atmos. Sci. 64 pp.3785-3798 (2007) |
|
| Errico R.M., Ohring G., Bauer P., Ferrier B., Mahfouf J.-F., Turk J., Weng F. | Assimilation of satellite cloud and precipitation observations in numerical weather prediction models: Introduction to the JAS special collection | J. Atmos. Sci. 64 pp.3737-3741 (2007) |
|
| Evensen G. | The Ensemble Kalman Filter: Theoretical Formulation and Practical Implementation | Ocean Dynamics 53 pp.343-367 (2003) |
|
| Eyre J.R. | Inversion of cloudy satellite sounding radiances by nonlinear optimal estimation: I: Theory and simulation for TOVS | Q.J.R.Meteor.Soc. 115 pp.1001-1026 (1989) | Radiances, Cloud clearing,
OSSEs performed, changing background errors |
| Eyring V., Butchart N., Waugh D.W., Akiyoshi H., Austin J., Bekki S., Bodeker G.E., Boville B.A., Bruhl C., Chipperfield M.P., Cordero E., Dameris M., Deushi M., Fioletov V.E., Frith SM., Garcia R.R., Gettelman A., Giorgetta M.A., Grewe V., Jourdain L., Kinnison D.E., Mancini E., Manzini E., Marchand M., Marsh D.R., Nagashima T., Newman P.A., Nielsen J.E., Pawson S., Pitari G., Plummer D.A., Rozanov E., Schraner M., Shepherd T.G., Shibata K., Stolarski R.S., Struthers H., Tian W., Yoshiki M. | Assessment of temperature, trace species, and ozone in chemistry-climate model simulations of the recent past | J. GeoPhys. Res. - Atmos. 111 Art No. D22308 (2006) |
Towards chemistry-climate modelling, many different climate models are compared |
| Author(s) | Title | Reference | Comments |
F | |||
| Feng L., Palmer P.I., Bosch H., Dance S. | Estimating surface CO2 fluxes from space-borne CO2 dry air mole fraction observations using an ensemble Kalman filter | Atmos. Chem. Phys. 9 pp. 2619-2633 (2009) |
|
| Fillion L. | Diabatic balanced increments | Pers. Comm. pp.1-3 (2007) |
Complementary to ECMWF flow-dependent workshop report |
| Fillion L., Tanguay M., Lapalme E., Denis B., Desgagne M., Lee V., Ek N., Liu Z, Lajoie M., Caron J.-F., Page C. | The Canadian regional data assimilation and forecasting system | Submitted Weather and Forecasting (Dec. 2009) |
|
| Fischer C., Montmerle T., Berre L., Auger L., Stefanescu S.E. | An overview of the variational assimilation in the ALADIN/France numerical weather prediction system | Q.J.R.Meteor.Soc. 131 pp.3477-3492 (2005) | Mesoscale
|
| Fisher M. and Coutier P. | Estimating the covariance matrices of analysis and forecast error in variational data assimilation | ECMWF Technical Memo No. 220 pp.28 pp (1995) | Lanczos
|
| Fisher M. | Development of a simplified Kalman filter | ECMWF Technical Memo No. 260 pp.16 pp (1998) |
|
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(Do not have this paper) |
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