P# |
Author |
Title (link to presentation if available) |
|
H-p01 |
Javier Amezcua |
Ensemble of 4DVars and their use within a particle filter context
|
abstract |
H-p02 |
Jonathan Beezley |
Wavelet Covariance Approximations for Wildfire Data Assimilation using SFIRE
|
abstract |
H-p03 |
Marc Bocquet |
Ensemble Kalman Filtering Without the Intrinsic Need for Inflation
|
abstract |
H-p04 |
Felix Carrasco |
A Smooth Ensemble Kalman Filter for Parameter estimation
|
abstract |
H-p05 |
Alberto Carrassi |
Accounting for Model Error in Data Assimilation
|
abstract |
H-p06 |
Amal El Akkraoui |
Inter-comparison of static and flow-dependent estimates of background error covariances
|
abstract |
H-p07 |
Denis Dreano |
An Iterative Greedy Algorithm for Observation Network Design with an Ensemble Kalman Filter
|
abstract |
H-p08 |
Anton Kliewer |
Observational Quantification of Non-Gaussian Errors Within a Humidity-Temperature 1DVAR Retrieval System over Japan.
|
abstract |
H-p09 |
Xiang-Yu Huang |
Assimilation of wind speed and direction observations: a new formulation and results from idealized experiments
|
abstract |
H-p11 |
Tijana Janjic |
Mass Conservation and Positivity Preservation with Ensemble-type Kalman Filter Algorithms
|
abstract |
H-p12 |
Mohamed Jardak |
The Ensemble Variational Assimilation and Bayesian Estimation
|
abstract |
H-p13 |
Alicia Karspeck |
A practical ensemble technique for the estimation of spatially inhomogeneous, model-dependent observational errors
|
abstract |
H-p14 |
Paul Kirchgessner |
Adaptive Localization in Ensemble Kalman Filter Methods by Controlling the Observation Space
|
abstract |
H-p15 |
Jihye Kwun |
Correlations of Control Variables for Representing Forecast Errors on Cubed-Sphere Grids
|
abstract |
H-p16 |
S. Lakshmivarahan |
Stochastic Galerkin method for dynamic data assimilation using Wiener's polynomial chaos
|
abstract |
H-p17 |
S. Lakshmivarahan |
Pontryagin's Minimum Principle Applied to Meteorological Data Assimilation
|
abstract |
H-p18 |
Amos Lawless |
Error Dynamics and Instability in Data Assimilation
|
abstract |
H-p20 |
Xudong Liang |
Application of Physical Filter Initialization Scheme on WRFVAR
|
abstract |
H-p21 |
Xiaodong Luo |
Ensemble Bayesian filtering with Residual Nudging
|
abstract |
H-p22 |
Thomas Nehrkorn |
Correcting for Position Errors in Variational Data Assimilation
|
abstract |
H-p23 |
Lars Nerger |
Scalable Sequential Data Assimilation with the Parallel Data Assimilation Framework PDAF
|
abstract |
H-p24 |
Lars Nerger |
The Error-Subspace Transform Kalman Filter
|
abstract |
H-p25 |
Stephen Penny |
The Hybrid Local Ensemble Transform Kalman Filter
|
abstract |
H-p26 |
Africa Perianez |
Error Analysis and Adaptive Localization for Ensemble Methods in Data Assimilation
|
abstract |
H-p27 |
Chiara Piccolo |
Evaluation of Model Errors using Data Assimilation
|
abstract |
H-p28 |
Jonathan Poterjoy |
Inter-comparison and Coupling of Ensemble and Variational Data Assimilation Approaches for Regional-Scale Modeling
|
abstract |
H-p29 |
Miodrag Rancic |
Application of Normal Mode Strong Constraint for Initialization of WAM
|
abstract |
H-p30 |
Adrian Sandu |
Aposteriori Error Estimates in Variational Data Assimilation
|
abstract |
H-p31 |
Prashant Sardeshmukh |
Improving Reanalyses using Physically Based Stochastic Parameterizations
|
abstract |
H-p32 |
Tyrus Berry |
Adaptive ensemble Kalman filtering of nonlinear systems
|
abstract |
H-p33 |
Laura Slivinski |
Lagrangian Data Assimilation: A Hybrid Particle-Ensemble Kalman Filter and Applications to Geophysical Fluid Flows
|
abstract |
H-p34 |
Chris Snyder |
Performance Bounds for Particle Filters Using the Optimal Proposal
|
abstract |
H-p35 |
Hyo Jong Song |
Application of a Spectral Transform on Cubed-Sphere Grids to Representation of Forecast Errors for Variational Data Assimilation
|
abstract |
H-p36 |
Hajoon Song |
An Adjoint-Based Adaptive Ensemble Kalman Filter
|
abstract |
H-p37 |
Xudong Sun |
Use of Green.s function in spatial covariance analysis
|
abstract |
H-p38 |
Charles Testut |
MODELING FORECAST ERROR STATISTICS using GAUSSIAN ANAMORPHOSIS
|
abstract |
H-p39 |
Lucio Torrisi |
Use of Radiances in the CNMCA (Italian National Meteorological Center) Operational Ensemble Data Assimilation System
|
abstract |
H-p40 |
Yannick Tremolet |
The Object-Oriented Prediction System - a Flexible Framework for Data Assimilation
|
abstract |
H-p41 |
Mikhail Tsyrulnikov |
On Observability of Atmospheric Model Tendency Errors
|
abstract |
H-p42 |
Genta Ueno |
Ensemble Kalman filtering with regularization through a graphical model
|
abstract |
H-p43 |
Martin Verlaan |
OpenDA Data Assimilation Toolbox
|
abstract |
H-p44 |
Arthur Vidard |
Multi Resolution Variational Data Assimilation Schemes With Application to a Realistic Ocean Model
|
abstract |
H-p45 |
Anthony Weaver |
B-Preconditioned Minimization Algorithms for Variational Data Assimilation with the Primal and Dual Formulations
|
abstract |
H-p46 |
Shu-Chih Yang |
Application of Ensemble Sensitivity to Data Assimilation
|
abstract |
H-p47 |
Yongjing Zhao |
Effects of Assimilation Window Length on Diurnal Features in a Mars Atmosphere Reanalysis
|
abstract |