The 9th Workshop on Adjoint Model Applications

In Dynamic Meteorology

 

 

Cefalu, Sicily, Italy

10-14 October 2011

 

Sponsored by

NASA's Global Modeling and Assimilation Office

 

Chief Organizer: Ronald Errico (GMAO and GESTAR)

 

Organizing committee:

Susan Ballard (Met-Office)

Jan Barkmeijer (KNMI)

Mark Buehner (Environment Canada)

Carla Cardinali (ECMWF)

Gerald Desroziers (Meteo-France)

Marta Janiskova (ECMWF)

Nikki Privé (GMAO/GESTAR)

Liang Xu (NRL)

 


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PROGRAM

 

If a presentation has multiple authors affiliated with the same institution, that institution is indicated only once. If an author has multiple affiliations, only the primary one is indicated. A presentation number in bold italics indicates a long (invited) talk. All times are tentative.

 

Session 0

Sunday                Pre-Workshop Tutorials            9 Oct 2011

 

1000

Ronald Errico

0.1

Fundamentals of Adjoint Models

1200

Lunch

1330

Andrew Lorenc

 

0.2

 

Fundamentals of Data Assimilation

1500

Close of Tutorial Session

 

 

Session 1

 Monday Morning                                        10 Oct 2011

Session Chair: Liang Xu

0830

Ronald Errico

 

Welcoming remarks and announcements

Adjoint Development

0845

Marta Janiskova

Carla Cardinali

1.1

Forecast error contribution of the global observing system using different energy norms and different representation of physical processes in the adjoint model

0910

Cristina L. Charlton-Perez

S. P. Ballard, Z. Li,

D. Simonin, H. Buttery,

N. Gaussiat, L. Hawkness-Smith

1.2

Adapting the UKMO linear model for NWP-based nowcasting

0935

Tim Payne

1.3

Accounting for linearisation error in the Extended Kalman Filter and 4D-Var

1000

Roel Stappers

Jan Barkmeijer

1.4

Optimal linearization trajectories

1025

Break

1045

Adrian Sandu

1.5

Properties of discrete adjoints for adaptive models

1110

Nils van Velzen

1.6

 

Generic parallelization strategies for data assimilation applications

Sensitivity Analysis

1135

Brett Hoover

Michael Morgan

1.7

Dynamical sensitivity analysis of tropical cyclogenesis: a barotropic mode in the eastern Pacific

1200

Michael C. Morgan

1.8

 

An adjoint description of geostrophic adjustment

1300

Lunch

 

 

Session 2

 Monday Afternoon                                      10 Oct 2011

Session Chair: Marta Janiskova

1430

Brian Ancell

Lynn McMurdie

Rolf Langland

2.1

The predictability of North American land-falling cyclones

1455

Colette Kerry

Brian Powell

2.2

Quantifying the sensitivity of nonlinear tides in the Philippine Sea

1520

Oger N.,

Olivier Pannekoucke

Doerenbecher, A.

Arbogast, P

2.3

Sensitivity of the KFS to the trajectory of reference

1545

Break

Observation Operators

1605

Steven J. Fletcher

Glen E. Liston

Christopher A. Hiemstra

Steven D. Miller

2.5

 

Assimilation of MODIS and AMSR-E Snow Parameter Observations into a Physical Snow Model

1630

Zhiquan Liu

Quanhua Liu

Hui-Chuan Lin

Craig Schwartz

2.6

Variational assimilation of MODIS aersosol optical depth over east Asia region

1655

Martin Leutbecher

2.6

On ensemble forecasts, singular vectors and reliability

 

 

 

 

Session 3

Tuesday Morning                                        11 Oct 2011

Session Chair: Gerald Desroziers

Error Formulations

0900

Andrew Moore

Hernan Arango

Gregoire Broquet

3.1

Estimates of analysis error, forecast error, and predictability derived from the adjoint of 4D-Var

0925

Dr. Yann Michel

3.2

Estimating deformations of random processes for correlation modeling in data assimilation

0950

Ricardo Todling

3.3

A smoother-based strategy to estimate system error covariances

1015

Nedjeljka Zagar

3.4

Comparison of balance and flow-dependency of large-scale background-error variances in two ensembles

1040

Break

1100

Chiara Piccolo

Mike Cullen

3.5

Adaptive mesh method in the Met Office variational data assimilation system

1125

Thibaut Montmerle

Loik Berre

3.6

Use of heterogeneous background error covariances accounting for precipitations at convective scale

1150

Stefano Migliorini

3.7

Information-based data selection for ensemble data assimilation

Variational DAS

1215

Xin Zhang

Xiang-Yu Huang

Nils Gustafsson

3.8

Control of lateral boundary conditions in WRF 4D-Var

1300

Lunch

 

 


 

Session 4

 Tuesday Afternoon                                     11 Oct 2011

Session Chair: Andrew Lorenc

Variational DAS

1430

Amal El Akkraoui

Ricardo Todling

Yannick Tremolet

4.1

Using a Bi-Conjugate Gradient minimization algorithm for variational data assimilation

1455

M.A. Freitag

Nancy K. Nichols

C.J. Budd

4.2

Resolution of sharp fronts in the presence of model error using L1-regularized variational assimilation

1520

Joanna S. Pelc

Ehouarn Simon

Laurent Bertino

Ghada El Serafy

Arnold W. Heemink

4.3

Model-reduced 4D-Var data assimilation in application to 1D ecosystem model

1545

Serge Gratton

Selime Gurol

Philippe Toint

4.4

Preconditioning of conjugate-gradients in observation space with an application to 4D-Var data assimilation

1610

Break

1610

Poster Session

Javier Amezcua

Eugenia Kalnay

Kayo Ide

4.5

Addressing the nonlinear problem of low order clustering found in deterministic filters by using mean-preserving non-symmetric solutions of the ETKF

 

 

Loik Berre

Gerald Desroziers

Laure Raynaud

Hubert Varella

Laurent Descamps

Carole Labadie

4.6

Variational ensemble data assimilation at Meteo-France for error covariance modelling and ensemble prediction

 

 

Vanja Blazica

Nedjeljka Zagar

4.7

Quantification of divergence in a mesoscale model

Jean-François Caron

4.8

How to optimally treat large scale information in limited area ensemble-based data assimilation?

Dan Holdaway

Ron Errico

4.9

Jacobians of the GEOS5 Relaxed Arakawa-Schubert convection scheme

Erin Kashawlic

Brian Ancell

4.10

Comparing observation impact on low-level wind forecasts between an ensemble Kalman filter and a 3DVAR data assimilation scheme

Benjamin Menetrier

Thibaut Montmerle

Loik Berre

Yann Michel

4.11

Variational ensemble-based forecast error variance maps filtering, a toy-models approach

Tamas Prager

Éva König

Fanni Kelemen

4.12

On the possibilities and limits of direct physical interpretation and synoptical use of mathematical objects related to the adjoint hydro-thermodynamical equations

Tom Rosmond

Craig Bishop

Dave Kuhl

Liz Satterfield

4.13

Balanced Ensemble Localization with Normal Mode Initialization

Elizabeth Satterfield

Craig H. Bishop

David D. Kuhl

Tom Rosmond

4.14

Deriving optimal weights for combining static and flow-dependent covariance models

Polly Smith

Andrew Moore

4.15

Application of weak constraint dual formulation 4D-Var to the California Current System

Julius Sumihar

Martin Verlaan

Stef Hummel

Nils van Velzen

4.16

File-based model connections for data-assimilation with OpenDa

Xudong Sun

Peter Steinle

4.17

4-Dvar spectral covariance with horizontal anisotropic transformation

 

Hubert Varella

Loik Berre

Gerald Desroziers

4.18

Modelling of flow-dependent ensemble-based background error correlations using a wavelet formulation

Martin Verlaan

Julius Sumihar

4.19

Ensemble based observations sensitivity applied to storm surge forecasting

 


 

Session 5

 Wednesday Morning                                    12 Oct 2011 

Session Chair: Jan Barkmeijer

Particle Filters

0900

Peter Jan van Leeuwen

5.1

Introduction to particle filters

0950

Melanie Ades

Peter Jan van Leeuwen

5.2

Particle filters for large-dimensional problems

1015

Anne Cuzol

Etienne Mémin

5.3

Image assimilation with the weighted ensemble Kalman filter

 

1040

Break

Model Error

1100

Yannick Tremolet

5.4

Towards a longer 4D-Var assimilation window

1125

Carla Cardinali

Roberto Buizza

Gabor Radnoti

Nedjeljka Zagar

5.5

Representing model error in Ensemble Data Assimilation

1150

Laure Raynaud

Loik Berre

Gerald Desroziers

5.6

Accounting for model error in global and regional ensemble data assimilation systems

1215

Joanne A. Pocock

A. S. Lawless

S. L. Dance

N. K. Nichols

5.7

Errors of representativity

1300

Lunch

 

 

 

Wednesday Afternoon                                    12 Oct 2011

Free time (weather permitting)

 

1830

Dinner

 

 

Session 6

Thursday Morning                                       13 Oct 2011

Session Chair: Nikki Privé

Ensemble DAS

0900

Gerald Desroziers

Loik Berre

6.1

Accelerating and parallelizing minimizations in ensemble and deterministic variational assimilation

 

0925

Lisa Neef

Katja Matthes

6.2

Assimilation of Earth Rotation Parameters into an Atmosphere Model

0950

Tijana Janjic

L.Nerger

A. Albertella

J.Schroeter

S. Skachko

6.3

Domain localization in ensemble based Kalman filter algorithms

1015

Mohamad El Gharamti

U. Altaf

I. Hotiet

A. W. Heemink

6.4

Data assimilation into groundwater contaminant models using an ensemble variational approach

1040

Break

Hybrid Techniques

1100

Adam Clayton

Dale Barker

Neill Bowler

Peter Jermey

Andrew Lorenc

Rick Rawlins

Mike Thurlow

6.5

The Met Office's hybrid ensemble-4D-Var scheme

1125

David D. Kuhl

Tom Rosmond

Craig H. Bishop

Elizabeth Satterfield

6.6

Which matters more in Hybrid Ensemble 4D-VAR, variances or correlations?

1150

Craig H. Bishop

Elizabeth Satterfield

David D Kuhl

Tom Rosmond

6.7

Errors in ensemble-based error covariance estimates and Hybrid ensemble 4D-VAR

1215

Olivier Titaud
Jean-Michel Brankart
Jacques Verron

6.8

On the use of Lagrangian Coherent Structures in direct assimilation of ocean tracer images

 

1240

Lunch

 

 

Session 7

Thursday Afternoon                                     13 Oct 2011

Session Chair: Nikki Privé

Other Data Assimilaton

1430

Hajoon Song

Ibrahim Hoteit

Bruce Cornuelle

Aneesh Subramanian

7.1

An adjoint-based adaptive ensemble Kalman filter

1455

Anthony Weaver

Isabelle Mirouze

7.2

On the diffusion equation and its application to isotropic and anisotropic correlation modelling in variational assimilation

1520

Brian Powell

Bruce Cornuelle

7.3

Quantifying the role of observations in ocean state estimation

1545

Ruth Petrie

Ross Bannister

7.4

Background error covariance modeling using normal modes

1615

Break

1635

Zhijin Li
Yi Chao
James C. McWilliams
Kayo Ide

7.5

A multi-scale three dimensional variational data assimilation scheme and its application to coastal oceans

1700

Daryl Kleist

John Derber

David Parrish

Kayo Ide

Jeff Whitaker

7.6

Evaluation of a hybrid ensemble-variational data assimilation scheme using an OSSE

1725

Dale Barker

7.7

Strategies For The Use Of Ensemble Information in Data Assimilation

1740

7.8

Discussion

 

 


 

Session 8

Friday Morning                                         14 Oct 2011

Session Chair: Carla Cardinali

Observation Impacts

0830

Liang Xu

Wei Kang

8.1

Optimal Sensor Placement for Data Assimilations

0855

Clark Amerault

James D. Doyle

8.2

Adjoint observation impact for a limited area model

0945

Richard Marriott

Andrew Lorenc

8.3

Forecast-error-sensitivity to observations in the UM

0945

Break

 

0945

Alison Fowler

Peter Jan Van Leeuwen

8.4

Measures of observation impact in non-Gaussian data assimilation

1010

Break

 

1030

Patrick E. Farrell

S. W. Funke

8.5

 

A high-level abstraction for developing adjoint models

1055

Ronald Errico

Nikki Privé

King-Sheng Tai

8.6

The design and validation of Observing System Simulation Experiments at NASA's Global Modeling and Assimilation Office

1120

Nikki Privé

Ronald Errico

8.7

Observing System Simulation Experiments OSSEs as tools for the investigation of data assimilation systems

1145

Ronald Errico

 

Closing Remarks

1200

Lunch

 


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GMAO Head: Michele Rienecker
Global Modeling and Assimilation Office
NASA Goddard Space Flight Center
Curator: Nikki Privé
Last Updated: July 28 2011