Mathematics in Geosciences, September 2001 - June 2002

Spring 2002

IMA Workshop:

Data Assimilation in the Oceanic and Atmospheric Sciences

April 29-May 3, 2002

Organizers:

Robert N. Miller
College of Oceanic and Atmospheric Sciences
Oregon State University
miller@oce.orst.edu

Olivier Talagrand
Ecole Normale Supérieure
LMD Paris
talagran@lmd.ens.fr

Schedule	Participants	Registration
Abstracts		Feedback
Material from Talks

Data assimilation designates the use of a dynamical model, in combination with sparse and inaccurate, data, irregularly distributed in space and time, to infer the evolving state of the system being modeled. Systematic estimates of errors in the model and the observed data are essential features of any data assimilation system. Posterior error estimates are also necessary for evaluation of the system. Construction of these error estimates is the most challenging and scientifically important task. Two complementary approaches to data assimilation are currently in use in the atmospheric and oceanic sciences, based respectively on sequential estimation and optimal control theory. The theoretical, numerical, and physical aspects of applying estimation and control methods to atmospheric and oceanic models will be covered, emphasizing issues of observing system design and parameter estimation.

Keywords: stochastic ODEs, PDEs, control, atmosphere and oceans

WORKSHOP SCHEDULE

Monday

Tuesday

Wednesday

Thursday

Friday

MONDAY, APRIL 29 All talks are in Lecture Hall EE/CS 3-180 unless otherwise noted.
Theme: State of the Art I
8:00 am	Coffee and Registration	Reception Room EE/CS 3-176
9:00 am	Douglas N. Arnold, Robert Gulliver, and Olivier Talagrand	Welcome and Introduction
9:15 am	Robert N. Miller Oregon State University	Overview Slides
9:45 am	Andrew Lorenc Met Office, UK	Four-dimensional error covariance models in data assimilation for NWP: A comparison of incremental 4D-Var and the Ensemble Kalman Filter Slides:   pdf
10:30 am	Discussion
10:45am	Coffee Break	Reception Room EE/CS 3-176
11:15 am	Allan R. Robinson Harvard University	Data Assimilation for Modeling and Predicting Multiscale Coupled Physical-Biological Interactions in the Sea
12:00 pm	Discussion
12:15 pm	Lunch Break
1:45 pm	Arnold W. Heemink Delft University of Technology	Kalman filtering algorithms for data assimilation problems Slides:   html    pdf    powerpoint
2:30 pm	Discussion
2:45 pm	Second Chances and Discussion
3:45 pm	IMA Tea/Reception, IMA East, 400 Lind Hall A variety of appetizers and beverages will be served. Poster Session Magdalena Alonso Balmaseda ECMWF Multivariate aspects of ocean data assimilation for Seasonal Forecasts Dacian Daescu IMA Adjoint modeling for chemical reactions mechanisms: discrete versus continuous Gerald B. Fitzgerald The MITRE Corporation, Center for Integrated Intelligence Systems Using Climatological vs. Forecast Data in Radio Frequency (RF) Attenuation Modeling Slides:   html   pdf   powerpoint Arthur Mariano RSMAS, University of Miami Talk 1: Assimilation of sea surface height anomaly data and Lagrangian position data from floats and drifters or Talk 2: Applied Lagrangian Prediction
TUESDAY, APRIL 30 All talks are in Lecture Hall EE/CS 3-180 unless otherwise noted.
Theme: State of the Art II
8:30 am	Coffee	Reception Room EE/CS 3-176
9:00 am	Zoltan Toth SAIC at Environmental Modeling Center, NOAA	How Well Operational Ensembles Can Explain Forecast Errors?
9:45 am	Discussion
10:00 am	Coffee Break	Reception Room EE/CS 3-176
10:30 am	Gerald Desroziers Meteo-France, NRM/GMAP/ALGO	Tuning of observation error parameters in a variational data assimilation Slides:   pdf    postscript
11:15 am	Discussion
11:30 am	Alexey Kaplan LDEO, Columbia University	Role of small-scale variability in the tropical Pacific ocean data assimilation Slides:    html    pdf    powerpoint IMA Preprint #1903:  pdf
11:50 am	Discussion
12:00 pm	Lunch Break
1:30 pm	Ricardo Todling Data Assimilation Office, NASA/GSFC/GSC	A brief overview of the DAO data assimilation system
2:15 pm	Discussion
2:30 pm	Coffee Break	Reception Room EE/CS 3-176
3:00 pm	Ralf Giering FastOpt	Generating derivative code by Automatic differentiation for assimilation and error estimation
3:45 pm	Discussion
4:00 pm	Second Chances and Discussion
WEDNESDAY, MAY 1 All talks are in Lecture Hall EE/CS 3-180 unless otherwise noted.
Theme: Theory
8:30 am	Coffee	Reception Room EE/CS 3-176
9:00 am	Christopher K.R.T. Jones Brown University	Lagrangian data assimilation in ocean models Slides:   html   pdf   powerpoint Video:   DT1.avi   DT15.avi   sdhit3.avi
9:45 am	Discussion
10:00 am	Coffee Break	Reception Room EE/CS 3-176
10:30 am	Dmitri Kondrashov UCLA	Sequential Estimation of Regime Transitions
11:15 am	Discussion
11:30 am	François-Xavier Le Dimet Université Joseph Fourier, Grenoble, France and INRIA	Second Order Analysis in Data Assimilation References:    pdf
11:50 am	Discussion
12:00 pm	Lunch Break
2:00 pm	Richard Kleeman New York University	Perfect model predictability in a simple model of the atmosphere
2:45 pm	Discussion
3:00 pm	Ichiro Fukumori Jet Propulsion Laboratory	Physical Consistency of Data Assimilated State Evolution; On the Significance of Smoothers and the Importance of Process Noise Modeling Slides:   ima_020429.pdf Covariance Matching; A Method for Estimating Model and Data Errors A Priori Slides:   ima_020429_qr.pdf A Partitioned Kalman Filter and Smoother Slides:   ima_020429_pkf.pdf
3:20 pm	Discussion
3:30 pm	Arthur Mariano RSMAS, University of Miami	Talk 1: Assimilation of sea surface height anomaly data and Lagrangian position data from floats and drifters
4:00 pm	Second Chances and Discussion
THURSDAY, MAY 2 All talks are in Lecture Hall EE/CS 3-180 unless otherwise noted.
Theme: Ensembles and Reduced Rank Approximations
9:00 am	Coffee	Reception Room EE/CS 3-176
9:30 am	Sivaguru S. Sritharan US Navy	An Invitation to Control Theoretic Challenges In Turbulence & Plasma Dynamics Slides
10:15 am	Discussion
10:30 am	Coffee Break	Reception Room EE/CS 3-176
11:00 am	Alexander L. Kurapov COAS, Oregon State University	M2 internal tide off Oregon: inferences from data assimilation
11:20 am	Discussion
11:30 am	Jeffrey L. Anderson NOAA/GFDL and NCAR Data Assimilation Initiative	Sampling Issues for Ensemble Filters
11:50 am	Discussion
12:00 pm	Lunch Break
2:00 pm	Eugenia Kalnay University of Maryland at College Park	Breeding, singular vectors, Lyapunov vectors and data assimilation
2:45 pm	Discussion
3:00 pm	I. Michael Navon Florida State University	The Analysis of an Ill-Posed Problem Using Multi-Scale Resolution and Second-Order Adjoint Techniques Slides:   pdf    postscript    references.pdf
3:20 pm	Discussion
3:30 pm	Dinh-Tuan Pham Laboratoire de Modelisation et Calcul	Some variants to the Singular Evolutive Extended Kalman (SEEK) Filter for Data Assimilation Slides:    pdf
4:00 pm	Second Chances and Discussion
6:00 pm	Workshop Dinner	Dragon Court 304 Oak Street S.E., Minneapolis
FRIDAY, MAY 3 All talks are in Lecture Hall EE/CS 3-180 unless otherwise noted.
Theme: Interdisciplinary Applications
8:30 am	Coffee	Reception Room EE/CS 3-176
9:00 am	Pierre F.J. Lermusiaux Harvard University	Interdisciplinary Data Assimilation via Error Subspace Statistical Estimation
9:45 am	Discussion
10:00 am	Coffee Break	Reception Room EE/CS 3-176
10:30 am	Yvette H. Spitz Oregon State University	On the use of the variational adjoint method in ecosystem modeling
11:15 am	Discussion
11:30 pm	Yannick Tremolet ECMWF	A Revised 4D-Var Algorithm for Increased Efficiency and Improved Accuracy Slides:    html    powerpoint
12:30 pm	Lunch Break /Conclusion

Monday

Tuesday

Wednesday

Thursday

Friday

LIST OF CONFIRMED PARTICIPANTS
(in addition to postdocs and long-term participants)

As of 5/3/2002

Name	Department	Affiliation
Jeffrey L. Anderson	Geophysical Fluid Dynamics Laboratory	National Oceanic and Atmospheric Administration
Magdelena Balmaseda		Seasonal Forcast Group, ECMWF
James A. Carton	Meterology	University of Maryland
Dacian Daescu	Institute for Mathematics and its Applications	University of Minnesota
Gerald Desroiziers		NRM/GMAP
Eric Dussaud	Computational and Applied Mathematics	Rice University
Gerald B. Fitzgerald	Cenetr for Integrated Intelligence Systems	The MITRE Corporation
Ichiro Fukumori	Jet Propulsion Laboratory	NASA
Ralf Giering	Automatic Differentiation	FastOpt
A. W. Heemink	Applied Mathematical Analysis	Delft University of Technology
Kayo Ide	Atmospheric Sciences	University of California, Los Angeles
Sergiy Ivanov	Geophysical Institute, Atmospheric Group	University of Alaska, Fairbanks
Christopher Jones	Applied Mathematics	Brown University
Eugenia Kalnay	Meteorology	University of Maryland
Alexey Kaplan	Lamont-Doherty Earth Observatory	Columbia University
Richard Kleeman	Center for Atmospheric Ocean Science	Courant Institute of Mathematical Sciences
Dmitri Kondrashov	Atmoshperic Sciences	University of California, Los Angeles
Alexandre Kurapov	College of Oceanic & Atmospheric Sciences	Oregon State University
Lionid Kuznetsov	Applied Mathematics	Brown University
Francois-Xavier Le Dimet	Mathematiques	LMC-IMAG
Pierre Lermusiaux	Engineering & Applied Sciences	Harvard University
Andrew Lorenc	Head of Data Assimilation	United Kingdom Metereology Office
Arthur J. Mariano	RSMAS/MPO	University of Miami
Jodi L Mead	Mathematics and Computer Science	Boise State University
Robert N Miller	College of Oceanic & Atmospheric Sciences	Oregon State University
Michael I Navon	Mathematics	Florida State University
Hans E. Ngodock	Institute of Marine Sciences	The University of Southern Mississppi
Jorge Nocedal	Electrical & Computer Engineering	Northwestern University
Dinh-Tuan Pham	Directeur de Recherche	CNRS
James Richman	College of Oceanic & Atmospheric Sciences	Oregon State University
Allan R Robinson	Division of Engineering and Applied Sciences; Department of Earth and Planetary Sciences	Harvard University
Michael W. Smiley	Mathematics	Iowa State University
Yvette H Spitz	College of Oceanic & Atmospheric Sciences	Oregon State University
Sivaguru S. Sritharan	D73H	US Navy
Kirill Strunin	Center for Atmospheric Ocean Science	Courant Institute of Mathematical Sciences
Olivier Talagrand		Ecole Normale Sup\'(e)rieure
Ricardo Todling	Data Assimilation Office	NASA
Zoltan Toth	GSC Environmental Modeling Center	NOAA
Yannick Tremolet	Data Assimilation Section	ECMWF
Xiaoming Wang		Courant Inst of Mathematical Science / Iowa State

 

Material from Talks      Abstracts

Mathematics in the Geosciences, September 2001 - June 2002