Workshop on Sensitivity Analysis and Data Assimilation in Meteorology and Oceanography

1–5 June 2015, Stonewall Resort
Roanoke, West Virginia, USA


Scientific Program
Workshop on Meteorological Sensitivity Analysis and Data Assimilation
1-5 June 2015 Roanoke, West Virginia

A presentation number in bold italics indicates a long (invited) talk. Oral presentation times will be strictly enforced: 40 min. for invited talks, 20 min. for regular talks, excluding appended discussion times. Each session will also include a 20 minute break for coffee and snacks.


Session 0
Sunday: Pre-Workshop Tutorials
31 May 2015
1000 Ronald Errico 0.1 Fundamentals of Adjoint Models
1200 Lunch
1330 Mike Fisher 0.2 Fundamentals of Data Assimilation
1530 Close of Tutorial Session
1800 Dinner

Session 1
Monday Morning
1 June 2015
Session Chair: Nikki Privé
0830 Ronald Errico Welcoming remarks and announcements
Sensitivity Analysis
0900 Martin Leutbecher
Simon Lang
1.1 Can singular vectors reliably describe the distribution of forecast errors?
Brian Ancell
Aaron Hill, Brock Burghardt
1.2 The Use of Ensemble-Based Sensitivity with Observations to Improve Predictability of Severe Convective Events
Jeremy Berman
Ryan Torn, Morris Weisman, Glen Romine
1.3 Applying Ensemble-Based Sensitivity Analysis to WRF Convection Forecasts in the Northern Great Plains
Alexander Goldstein 1.4 On the dynamics and evolution of forecast uncertainty and forecast sensitivity
Daniel Holdaway 1.5 Investigating sensitivity to dust in tropical cyclone formation using the GEOS-5 adjoint model
1230 Lunch

Session 2
Monday Afternoon
1 June 2015
Session Chair: Martin Leutbecher
General sensitivity issues, OSSEs and observation impacts
0200 Matthew J. Lauridsen
Brian Ancell
2.1 Nonlocal inadvertent weather modification associated with wind farms in the Central United States
Michael C. Morgan
2.2 Adjustment toward "balance" in the adjoint shallow water system
Brett Hoover
Rolf Langland
2.3 Observation Impact on the Short Range Forecast Under Simulated Analysis/Forecast System Improvement
Matthias Sommer
Martin Weissmann
2.4 Ensemble-based approximation of observation impact using an observation-based verification metric
Zhijin Li
2.5 Multi-scale data assimilation for fine-resolution models
Nikki Privé
Ron Errico
2.6 OSSEs for Fun and Profit
1800 Dinner

Session 3
Tuesday Morning
2 June 2015
Session Chair: Ricardo Todling
Variational data assimilation
0900 Katherine Howes
Amos Lawless, Alison Fowler
3.1 Allowing for model error in strong constraint 4DVAR
Selime Gurol
Mike Fisher, Serge Gratton
3.2 Numerical solution for a time-parallelized formulation of 4D-Var
Ehouarn Simon
Serge Gratton, Philippe Toint
3.3 Dual space multigrid strategies for variational data assimilation
Răzvan Ştefănescu
Adrian Sandu
3.4 Reduced-Order Strategies for Efficient 4D-Var Data Assimilation
Tim Payne
3.5 Rapid update cycling with overlapping windows
Steven Fletcher
Anton J. Kliewer, Andrew S. Jones, John M. Forsythe
3.6 Mixed lognormal-Gaussian incremental variational data assimilation
1230 Lunch

Session 4
Tuesday Afternoon
2 June 2015
Session Chair: Nancy Nichols
Variational data assimilation and ocean applications
0200 Vincent Chabot
Nodet Maëlle, Vidard Arthur
4.1 Dealing with convergence problems when accounting for correlated observation errors in image assimilation
Polly Smith 4.2 Exploring strategies for coupled 4D-Var data assimilation using an idealised atmosphere-ocean model
Alison Fowler
Amos Lawless
4.3 The effect of model error in coupled atmosphere-ocean data assimilation
Nils van Velzen
Umer Altaf, Martin Verlaan
4.4 Autolocalization techniques for ocean modelling using OpenDA
Andy Moore
4.5 Adjoints and ooze
1800 Dinner

Poster Session
Tuesday Evening
3 June 2015
1930 Onno Bokhove
Steve Tobias, Tom Kent
P.1 On a 3D Model with Anisotropic Rotating Convection and Phase Changes for DA
Antonín Bučánek
P.2 A dilemma of large-scales in LAM analysis
Ji-Hyun Ha
In-Hyuk Kwon, Sangil Kimand JiHyeKwun
P.3 Use and impact of conventional and satellite observations in a three-dimensional variational data assimilation system on a cubed-sphere grid
Jianjun Jin
Min-Jeong Kim, William McCarty, Santha Akella, Wei Gu
P.4 Assimilation of precipitation measurement missions microwave radiance observations with GEOS-5
Byoung-Joo Jung
Thomas Auligné, Gael Descombes
P.5 Cloudy radiance assimilation with cloud control variables
Jeon-Ho Kang
In-Hyuk Kwon
P.6 Development of AIRCRAFT data processing system and impacts on a 3D-VAR system at KIAPS
Anton J. Kliewer
Steven J. Fletcher, Andrew S. Jones, John M. Forsythe
P.8 Detection of non-Gaussian and lognormal characteristics of temperature and water vapor mixing ratio
David Kuhl
Elizabeth Satterfield, Craig H. Bishop
P.9 Deriving Optimal Combinations of Static and Flow Dependent Variances using Hidden Error Variance Theory
Martin Leutbecher
Sarah-Jane Lock, Pirkka Ollinaho, Peter Bechtold, Anton Beljaars, Richard Forbes, Robin Hogan, Irina Sandu
P.10 On attempts to supersede multiplicative noise to represent model uncertainties in NWP
Ivo Pasmans
Alexander Kurapov
P.11 Hybrid ensemble-4DVAR data assimilation in a coastal ocean model
Joanna Pelc
Ricardo Todling
P.12 Towards model reduced 4D-Var in application to GMAO's data assimilation system
François Vandenberghe
Thomas Auligné, Gael Descombes
P.13 Variational assimilation of GPS radio-occultation observations in rainy conditions
Martin Verlaan
Julius Sumihar, Andrea Lalic, Yvonne Ruckstuhl
P.14 Parameter estimation for a global tide and storm-surge model
Anthony Weaver
Jean Tshimanga, Andrea Piacentini
P.15 Correlation operators based on the iterative solution of an implicitly formulated diffusion equation

Session 5
Wednesday
3 June 2015
Session Chair: Gerald Desroziers
Characterizing error
0830 Loïk Berre
5.1 Estimation and representation of background error covariances
Nancy K. Nichols
D. Hodyss
5.2 The error of representation: basic understanding
Sarah L Dance
J. A. Waller, N. K. Nichols
5.3 Theoretical insight into diagnosing observation error spatial correlations using background and analysis innovation statistics
Joanne A. Waller
S. L. Dance, N. K. Nichols, D. Simonin, S. P. Ballard, G. Kelly
5.4 Diagnosing spatial and inter channel observation error statistics for Doppler radar radial wind and SEVIRI observations
Elizabeth Satterfield
William F. Campbell, Nancy Baker
5.5 Accounting for correlated satellite observation error in NAVGEM
R. Legrand
Y. Michel, T. Montmerle
5.6 Estimation of displacement error in a variational framework
1230 Lunch
1400 Afternoon Free Activities
1800 Dinner
Session Chair: Ron Errico
1930 Mike Fisher
5.8 TBA

Session 6
Thursday Morning
4 June 2015
Session Chair: Andrew Moore
Ensemble or hybrid techniques
0900 Ahmed Attia
Vishwas Rao, Adrian Sandu
6.1 Efficient sampling strategies for non-Gaussian data assimilation
Gerald Desroziers
L. Berre, E. Arbogast
6.2 4DEnVar: link with 4D state formulation of variational assimilation and different possible implementations
Amal El Akkraoui
6.3 Ensemble inflation in hybrid data assimilation
Benjamin Ménétrier
Thomas Auligné
6.4 Optimized localization and hybridization to filter ensemble-based covariances
Daryl Kleist
Rahul Mahajan, Catherine Thomas
6.5 Hybrid 4D EnVar for the NCEP GFS: Implementation plans and potential for outer loops
S. T. K. Lang
Massimo Bonavita, Martin Leutbecher
6.6 The impact of re-centering perturbations for ensemble forecasts
1230 Lunch

Session 7
Thursday Afternoon
4 June 2015
Session Chair: Daryl Kleist
Ensemble or hybrid techniques and DA of non-standard observations
1400 Yoichiro Ota
Takashi Kadowaki
7.1 Impact of observation thinning and initialization on the LETKF within JMA's global hybrid 4DVar-LETKF data assimilation system
Heiner Lange
George C. Craig, Tijana Janjic
7.2 Quantifying dynamical inconsistencies in EnKF data assimilation of convective storms
Elias D. Nino
Adrian Sandu
7.3 Sequential data assimilation methods based on shrinkage covariance estimation
Mohamad El Gharamti
Laurent Bertino, Boujemaa Ait-El-Fquih, Annette Samuelsen, Ibrahim Hoteit
7.4 Ensemble Strategies for State-Parameters Estimation in Ocean Ecosystem Models
Tom Auligné 7.5 Analysis and Prediction of Clouds Using Satellite All-Sky Radiances: Lessons Learned and Perspectives
1800 Dinner
Poster Session Continued
Thursday Evening
1930 EDT 4 June 2015

Session 8
Friday Morning
5 June 2015
Session Chair: Liang Xu
Ensemble or hybrid techniques and DA of non-standard observations
0900 Ricardo Todling
8.1 Insights on observation residual approaches for model and observation error estimation
Laura Stewart 8.2 Assimilation of transformed retrievals obtained from IASI measurements
Tom Kent
Onno Bokhove, Steve Tobias
8.3 A modified shallow water model for investigating convective-scale data assimilation
Vishwas Rao
Adrian Sandu
8.4 Scalable parallel solution and uncertainty quantification techniques for variational data assimilation
Ronald Errico Closing Remarks
1130 Lunch


nasaLogo
GMAO Head: Steven Pawson
Global Modeling and Assimilation Office
NASA Goddard Space Flight Center
Curator: Nikki Privé
Last Updated: 11 March 2015