| 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 |