X
Search Filters
Format Format
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
meteorology & atmospheric sciences (16) 16
data assimilation (13) 13
sciences of the universe (7) 7
covariances (6) 6
meteorology (6) 6
kalman filter (5) 5
model (5) 5
sampling noise (5) 5
ensemble (4) 4
mathematical models (4) 4
ocean, atmosphere (4) 4
physics (4) 4
system (4) 4
[ sdu.ocean ] sciences of the universe [physics]/ocean, atmosphere (3) 3
[sdu.ocean]sciences of the universe [physics]/ocean, atmosphere (3) 3
assimilation (3) 3
diffusion (3) 3
diffusion equation (3) 3
diffusion operator (3) 3
ensemble data assimilation (3) 3
error covariances (3) 3
land surface temperature (3) 3
numerical aspects (3) 3
prediction (3) 3
recursive filters (3) 3
remote sensing (3) 3
transport (3) 3
variational statistical-analysis (3) 3
[ sdu.stu.me ] sciences of the universe [physics]/earth sciences/meteorology (2) 2
[sdu.stu.me]sciences of the universe [physics]/earth sciences/meteorology (2) 2
algorithms (2) 2
assimilation de données (2) 2
assimilation des données (2) 2
background-error correlations (2) 2
dynamics (2) 2
earth sciences (2) 2
ecmwf implementation (2) 2
ensemble kalman filter (2) 2
ensemble prediction (2) 2
equation (2) 2
filtering (2) 2
genetic particle filter (2) 2
impact (2) 2
kalman filtering (2) 2
kalman filters (2) 2
mechanics (2) 2
meteorology. climatology (2) 2
models (2) 2
noise (2) 2
particle filter (2) 2
particle filtering (2) 2
precipitation (2) 2
prévision numérique (2) 2
representation (2) 2
science (2) 2
spatial filtering (2) 2
spatial resolution (2) 2
statistics (2) 2
studies (2) 2
temperature downscaling (2) 2
variance analysis (2) 2
variational assimilation (2) 2
verification (2) 2
4d-var (1) 1
4dvar (1) 1
[ phys.phys.phys-ao-ph ] physics [physics]/physics [physics]/atmospheric and oceanic physics [physics.ao-ph] (1) 1
[ sde.ie ] environmental sciences/environmental engineering (1) 1
[ sdu.other ] sciences of the universe [physics]/other (1) 1
[phys.meca.acou]physics [physics]/mechanics [physics]/acoustics [physics.class-ph] (1) 1
[phys.meca.mefl]physics [physics]/mechanics [physics]/mechanics of the fluids [physics.class-ph] (1) 1
[phys.phys.phys-ao-ph]physics [physics]/physics [physics]/atmospheric and oceanic physics [physics.ao-ph] (1) 1
[sde.ie]environmental sciences/environmental engineering (1) 1
[sdu.other]sciences of the universe [physics]/other (1) 1
[sdu:ocean] sciences of the universe/ocean, atmosphere (1) 1
acoustics (1) 1
adjoints (1) 1
advection (1) 1
analysis (1) 1
anisotropy (1) 1
approximation (1) 1
area (1) 1
article subject (1) 1
assimilation ensemble (1) 1
atmospheric and oceanic physics (1) 1
atmospheric data assimilation (1) 1
atmospheric physics (1) 1
atmospherics (1) 1
atoms & subatomic particles (1) 1
background-error correlation (1) 1
background-error correlation modelling (1) 1
background-error covariance (1) 1
background-error variances (1) 1
background‐error correlation (1) 1
background‐error correlation modelling (1) 1
background‐error covariance (1) 1
background‐error variances (1) 1
barotropic vorticity equation (1) 1
bayesian analysis (1) 1
boundary conditions (1) 1
burgers equation (1) 1
more...
Language Language
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


Tellus A: Dynamic Meteorology and Oceanography, ISSN 0280-6495, 12/2016, Volume 68, Issue 1, pp. 1 - 14
Journal Article
Monthly Weather Review, ISSN 0027-0644, 2009, Volume 137, Issue 9, pp. 2995 - 3012
Journal Article
Monthly Weather Review, ISSN 0027-0644, 09/2009, Volume 137, Issue 9, pp. 2995 - 3012
This article discusses several models for background error correlation matrices using the wavelet diagonal assumption and the diffusion operator. The most... 
Journal Article
Monthly Weather Review, ISSN 0027-0644, 09/2009, Volume 137, Issue 9, pp. 2995 - 3012
This article discusses several models for background error correlation matrices using the wavelet diagonal assumption and the diffusion operator. The most... 
Journal Article
Journal of Geophysical Research: Atmospheres, ISSN 2169-897X, 03/2014, Volume 119, Issue 5, pp. 2131 - 2146
Thermal infrared data are widely used for surface flux estimation giving the possibility to assess water and energy budgets through land surface temperature... 
genetic particle filter | remote sensing | data assimilation | land surface temperature | temperature downscaling | particle filtering | ENERGY | RELIABILITY | MODEL | METEOROLOGY & ATMOSPHERIC SCIENCES | DISAGGREGATION | Temperature | Meteorology | Filtering | Computer simulation | Infrared | Genetics | Temporal resolution | Land surface temperature | Coarsening | Data assimilation
Journal Article
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 04/2014, Volume 140, Issue 681, pp. 1387 - 1398
The correlation length‐scale which characterizes the shape of the correlation function is often used to parametrize correlation models. This article describes... 
deformation | isotropization | length‐scale dynamics | covariance modelling | Isotropization | Covariance modelling | Deformation | Length-scale dynamics | ERROR COVARIANCES | PART I | length-scale dynamics | DATA ASSIMILATION | KALMAN FILTER | METEOROLOGY & ATMOSPHERIC SCIENCES | Anisotropy | Analysis | Models | Meteorology | Data assimilation | Mechanics | Mechanics of the fluids | Physics
Journal Article
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 04/2013, Volume 139, Issue 672, pp. 784 - 794
Journal Article
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 01/2015, Volume 141, Issue 687, pp. 459 - 468
Ensemble prediction systems at the convective scale are often under‐dispersive. In order to alleviate this problem, a time‐lagged ensemble can be created from... 
time‐lagging | ensemble prediction | particle filtering | Particle filtering | Time-lagging | Ensemble prediction | SYSTEM | IMPACT | PRECIPITATION | PREDICTABILITY | time-lagging | RESOLVING MODEL | METEOROLOGY & ATMOSPHERIC SCIENCES | PREDICTION | VERIFICATION | Filtration | Weighting | Filtering | Nonlinearity | Economic forecasting | Mathematical models | Bayesian analysis | Gain
Journal Article
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 07/2008, Volume 134, Issue 635, pp. 1425 - 1438
Journal Article
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 10/2016, Volume 142, Issue 700, pp. 2827 - 2838
Journal Article
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 01/2014, Volume 140, Issue 678, pp. 316 - 327
Journal Article
Monthly Weather Review, ISSN 0027-0644, 12/2010, Volume 138, Issue 12, pp. 4509 - 4522
Three-dimensional variational data assimilation (3D-Var) with the first guess at appropriate time (FGAT) appears to be an attractive compromise between... 
Variational analysis | Ozone | Transport | Dvection | Data assimilation | SYSTEM | IMPACT | DIGITAL-FILTER | 4D-VAR | VARIATIONAL DATA ASSIMILATION | IMPLEMENTATION | CHEMISTRY | 4DVAR | METEOROLOGY & ATMOSPHERIC SCIENCES | METEOROLOGICAL SERVICE | Studies | Propagation | Methods | Meteorology | Assimilation | Windows (intervals) | Computation | Atmospherics | Three dimensional
Journal Article
Nonlinear Processes in Geophysics Discussions, ISSN 2198-5634, 02/2018, pp. 1 - 21
The parametric Kalman filter (PKF) is a computationally efficient alternative method to the ensemble Kalman filter (EnKF). The PKF relies on an approximation... 
Journal Article
Monthly Weather Review, ISSN 0027-0644, 08/2010, Volume 138, Issue 8, pp. 3356 - 3365
In this note, a stochastic integration scheme is proposed as an alternative to a deterministic integration scheme, usually employed for the diffusion operator... 
COVARIANCES | VARIATIONAL STATISTICAL-ANALYSIS | METEOROLOGY & ATMOSPHERIC SCIENCES | RECURSIVE FILTERS | NUMERICAL ASPECTS | Studies | Interpolation | Boundary conditions | Mathematical models | Partial differential equations | Errors | Roots | Adjoints | Stochasticity | Diffusion | Data assimilation
Journal Article
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 07/2012, Volume 138, Issue 667, pp. 1589 - 1598
Background‐error variances estimated from a finite size ensemble of data assimilations are affected by sampling noise, which degrades the accuracy of the... 
ensemble data assimilation | flow dependency | diffusion operator | spatial filtering | sampling noise | Diffusion operator | Spatial filtering | Sampling noise | Flow dependency | Ensemble data assimilation | VARIATIONAL ASSIMILATION | REPRESENTATION | DATA ASSIMILATION | KALMAN FILTER | METEOROLOGY & ATMOSPHERIC SCIENCES | EQUATION | FLOW | Weather
Journal Article
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 01/2008, Volume 134, Issue 631, pp. 497 - 508
This article presents different formulae to estimate correlation length‐scales, and an evaluation of their qualities for practical diagnostic applications. In... 
diagnosis | length‐scale approximation | ensemble | data assimilation | sampling noise | Diagnosis | Sampling noise | Length-scale approximation | Ensemble | Data assimilation | COVARIANCES | VARIATIONAL ASSIMILATION 3D-VAR | ECMWF IMPLEMENTATION | MODEL | METEOROLOGY & ATMOSPHERIC SCIENCES | length-scale approximation | PREDICTION | Sciences of the Universe | Ocean, Atmosphere
Journal Article
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 01/2014, Volume 140, Issue 678, pp. 316 - 327
Background‐error variances estimated from a small‐size ensemble of data assimilations need to be filtered because of the associated sampling noise. Previous... 
wavelet thresholding | ensemble data assimilation | background‐error variances | sampling noise | Background-error variances | Sampling noise | Ensemble data assimilation | Wavelet thresholding | THRESHOLD | background-error variances | MODEL | DIFFUSION EQUATION | ASSIMILATION | METEOROLOGY & ATMOSPHERIC SCIENCES | Algorithms | Mechanics | Acoustics | Physics
Journal Article
Advances in Meteorology, ISSN 1687-9309, 2016, Volume 2016, pp. 1 - 18
The aim of this contribution is to provide a description of the difference between Kalman filter and particle filter when the state space is of high dimension.... 
ENSEMBLE | METEOROLOGY & ATMOSPHERIC SCIENCES | DATA ASSIMILATION | Usage | Kalman filtering | Comparative analysis | Dimensional analysis | Atoms & subatomic particles | Normal distribution | Algorithms
Journal Article