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IMA Workshop
Data Assimilation in the Oceanic and Atmoshpheric Sciences
April 29-May 3, 2002

  Schedule   Participants   Abstracts   Material from Talks 

Mathematics in Geosciences, September 2001 - June 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


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
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

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

Mathematics in the Geosciences, September 2001 - June 2002

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