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2005 Program on Data Assimilation for Geophysical Systems

Transition Workshop: towards a Mathematical Advancement of Data Assimilation

October 5, 2005
NISS/SAMSI Building

General Information
Application
Schedule

General Information

This workshop will conclude the 2005 SAMSI program on Data Assimilation for Geophysical Systems. The workshop aims to explore future mathematical and statistical directions and perspectives to advance data assimilation further beyond the current state-of-the-art. Primary goals of this workshop are to: 1) integrate relevant scientific areas; and 2) exploit the role of fundamental research in data assimilation which is motivated by operational applications.

Additional discussion, opportunities, and a poster session will be available at the subsequent workshop on Collaborations in Mathematical Geosciences (CMG), October 6 and 7, 2005. Participants of this transition workshop are most welcome to also register for the CMG workshop.

Scientific Committee: Kayo Ide (UCLA) and Christopher Jones (UNC).

Application

Interested individuals should apply, using the ON-LINE APPLICATION FORM. This form also includes the application form for financial support. You will be notified as soon as possible after your application if your participation will be possible; regrettably, limited seating will preclude acceptance of all applications. New researchers (graduate students, postdocs, and faculty in the early stages of their career) and members of underrepresented groups are especially encouraged to apply.

In order to ensure your registration is correct, we ask that you:

  • refresh/reload the registration page to ensure you have all updates
  • type in your information (cutting and pasting will distort the information we receive)
  • make any clarifications/corrections, in the Special Requests section
  • click the submit button only once
Please make reservations at the Radisson as soon as possible, mentioning SAMSI to obtain the SAMSI rate. If you have a change in plans, individual room reservations must be cancelled 72 hours prior to arrival. Check-in is at 3:00 PM; check-out is 12:00 noon.

As it is difficult to control the temperature in the large conference rooms, we suggest you bring a light jacket or sweater with you.

Transportation to and from SAMSI provided by Carolina Livery. Participants at the Hawthorne, please meet the shuttle at 7:45am outside of the front lobby. Participants at the Radisson, meet the shuttle at 8:00am outside the lobby. If you miss the shuttle, please make arrangements with the Hawthorne or Radisson to bring you to SAMSI. Return details: The shuttle will leave SAMSI at 5:30pm to take participants back to the Radisson and Hawthorne.

Schedule
Wednesday, October 5, 2005
NISS/SAMSI Building

8:00-8:30 AM Registration and Continental Breakfast
8:30-8:45 AM

Welcome and Opening Remarks

Jim Berger, SAMSI

Christopher Jones, SAMSI and University of North Carolina

 
8:45-9:30 AM

Data Assimilation in the Earth Sciences: Building on and Going Beyond Classic Estimation Theory

Dennis McLaughlin, MIT
9:30-10:15 AM 15-Minute Talks

9:30-9:45 Analysis and Prediction of a Noisy Nonlinear Ocean
Robert Miller, Oregon State
9:45-10:00 Estimation of Clouds in Atmospheric Models
Tomi Vukicevic, Colorado State
10:00-10:15
 Incorporation of Dynamic Balance in Data Assimilation and Application to Coastal Ocean
Zhijin Li, NASA and Kayo Ide, UCLA
10:15-10:45 AM Coffee Break
10:45-11:30 AM

How to Use Imperfect Models in Assimilating Data

Zoltan Toth, NCEP
11:30-12:15 PM 15-Minute Talks

11:30-11:45 A Local Ensemble Transform Kalman Filter: Perfect Model Results with the Lorenz-95 Model
Brian Hunt, U of Maryland
11:45-12:00 Statistical Data Assimilation for Hurricane Forecasting
Montserrat Fuentes, NC State [graphics]
Kristen Foley, NC State
Lian Xie, NC State
12:00-12:15
 Lagrangian Data Assimilation and Overcoming the Saddle Effect
Christopher Jones, UNC
Kayo Ide, UCLA
Liyan Liu, UNC
12:15-1:30 PM Lunch -- featuring SAMSI DA Program, Spring 2005
1:30-2:15 PM

Multiscale Methods of Data Assimilation

Achi Brandt, UCLA/Weizmann Inst
2:15-3:00 PM 15-Minute Talks

2:15-2:30 Assessing Predictability with a Local Ensemble Kalman Filter
Istvan Szunyogh, U of Maryland
2:30-2:45 Chemical Source Inversion Using Assimilated Constituent Observations
Andrew Tangborn, U of Maryland-Baltimore Co
2:45-3:00
 Dynamical Systems Perspective of Observing System Design for Lagrangian Data Assimilation
Kayo Ide, UCLA
Christopher Jones, UNC
Hayder Salman, UNC
3:00-3:30 PM Refreshments and Open Discussion
3:30-4:15 PM

Issues and Suggestions for Particle Filtering in High Dimensions

Mark Berliner, Ohio State
4:15-5:00 PM 15-Minute Talks

4:15-4:30 Graphical Models in Data Assimilation
Alex Ihler, U of California Irvine
4:30-4:45 Directed Drifter Launch Strategies for Lagrangian Data
Andrew Poje, CUNY
Anne Molcard, NRC
Tamay Ozgokmen, U of Miami
4:45-5:00
 Will the Future of Data Assimilation be 4D-Var or EnKF?
Eugenia Kalnay, U of Maryland
5:00-5:30 PM Open Discussion and Adjournment

 




  
 

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