AOSC 615

Advanced Methods in Data Assimilation for the Earth Sciences

Spring 2007

Time and Location: Friday 3:00 pm-5:45 pm, CSS 2428

Instructor: Istvan Szunyogh

This course will give an in-depth overview of the latest developments in atmospheric data assimilation, with a strong emphasis on the assimilation of remote sense data. The lectures will be given by Istvan Szunyogh, Prof. Kalnay and leading experts of the field from NCEP, ECMWF, NESDIS and NASA. Since many lectures will be given by guest speakers some changes in the order of the lectures are possible.

Syllabus

January 26. Introduction to Data Assimilation, E. Kalnay
February 2. Introduction to Least Squares, Optimal Interpolation, E. Kalnay
February 9. 3D-Var/4D-Var, R. Todling
February 16. Weak Constraint 4D-Var/Other Developments in Data Assimilation at ECMWF, Y. Trémolet
February 23. Kalman Filter, Extended Kalman Filter, I. Szunyogh
March 2. Ensemble-based Kalman Filters, I. Szunyogh
March 9. Radiative Transfer (RT), R. Hudson
March 16. Remote Sounding with Advanced Infrared and Microwave Instruments, Ch. Barnet
March 30. Adjoint models as analytical tools, R. Errico
April 6. Principles of Adjoint Coding, T. J. Kleespies (additional recommended reading)
April 13. Introduction to Operational Data Assimilation at NCEP, S. Lord
April 20. Satellite Data Assimilation at NCEP, J. Derber
April 27, The Grid-point Statistical Interpolation (GSI) of NCEP
May 15. Student Presentations
Satellite Retrieval Data Assimilation, D. Kuhl
The Choice of Variable for Atmospheric Moisture Analysis, E. Satterfield