2012 summer colloquium on data assimilation
santa fe, new mexico - July 24-august3, 2012

Sponsored by the JCSDA

Venue   The Colloquium was held in Santa Fe, New Mexico, in the southwestern United States


The Colloquium was held in Santa Fe, New Mexico, in the southwestern United States

Colloquium Topics

The following topics were covered during the Colloquium:

  • Data assimilation fundamentals including variational and ensemble techniques

  • Satellite data applications including infrared and microwave

  • Overview of atmospheric, ocean, and land data assimilation

  • Overview of the global observing system

  • Career Opportunities; Research and Operational; Agency/Academic/Private


The Colloquium was held in Santa Fe, New Mexico, in the southwestern United States.

List of Colloquium Lecturers with Bios and Presentations

Dr. James Yoe, NOAA/NWS/NCEP, Bio
Overview of JCSDA
The Road Not Taken

Dr. Lars Peter Riishojgaard, JCSDA, Bio
The Global Observing System
Developments in Satellite Observations

Dr. Ronald M. Errico, NASA/GSFC, Bio
Design and Validation of Observing System Simulation Experiments (OSSEs)
The General Data Assimilation Problem
Issues Regarding the Assimilation of Precipitation Observations

Dr. John Derber, NOAA/NCEP/EMC, Bio
Quality Control
Atmospheric Data Assimilation at NCEP/EMC

Dr. Nancy L. Baker, Navy/NRL, Bio
NRL Satellite Assimilation Activities
Adjoint-Based Diagnostics for Evaluating the Impact of Observations

Dr. Tom Rosmond, Navy/NRL, Bio
Computational Issues and Considerations for DA

Dr. Christopher D. Barnet, NOAA/NESDIS/STAR, Bio
Infrared Radiative Transfer and Atmospheric Remote Sounding

Dr. Fuzhong Weng, NOAA/NESDIS/STAR, Bio
Principle of Microwave Radiometry
Microwave Remote Sensing: Theory, Algorithm and Applications
Fundamentals of Radiative Transfer in the Earth's Atmosphere

Dr. Yong Chen, NOAA/NESDIS/STAR, Bio
The Community Radiative Transfer Model (CRTM)

Dr. Rolf Langland, Navy/NRL, Bio
Overview of Adaptive Observing
Introduction to Adjoint Methods in Meteorology

Dr. Craig H. Bishop, Navy/NRL, Bio
Background Error Covariance Modeling Part 1
Background Error Covariance Modeling Part 2

Dr. Hans Huang, NCAR, Bio
Regional 4D-Var

Dr. Eugenia Kalnay, University of Maryland, Bio
Introduction to Data Assimilation and Least Squares Methods
Recent Advances in EnKF

Dr. Milija Zupanski, Colorado State University, Bio
Ensemble Data Assimilation for Hurricanes
Ensemble Data Assimilation of All-Sky-Radiances in TC Inner Core

Dr. Robert N. Miller, Oregon State University , Bio
Ocean Data Assimilation

Dr. Kayo Ide, University of Maryland, Bio
Ocean Data Quality Control [and Assimilation]