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Uncertainty Management in Remote Sensing of Climate Data: Summary of a Workshop
Appendix A
Workshop Agenda
WORKSHOP ON UNCERTAINTY MANAGEMENT IN REMOTE SENSING OF CLIMATE DATA
December 4, 2008
The Doubletree Hotel
1515 Rhode Island Ave., NW
Washington, DC 20005
8:30
Welcoming remarks and overall workshop goals
Amy Braverman, Jet Propulsion Laboratory
Session A: Introduction
8:40
Differences in terminology, techniques, and approaches between statisticians and earth scientists
Anna Michalak, University of Michigan
9:00
Remote sensing of surface winds
Ralph Milliff, Northwest Research Associates, Inc., Colorado Research Associates
9:30
Remote sensing and precipitation
Tom Bell, NASA
10:00
Discussion
Moderator: Amy Braverman, Jet Propulsion Laboratory
10:15
Break
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Uncertainty Management in Remote Sensing of Climate Data: Summary of a Workshop
Session B: Clouds
10:30
Different types of uncertainties in cloud data sets
William Rossow, City College of New York, CUNY
11:00
Machine learning techniques for cloud classification
Bin Yu, University of California at Berkeley
11:30
Validation of cloud property measurements from multiple instruments
Jay Mace, University of Utah
12:00
Discussion
Moderator: Karen Kafadar, Indiana University
12:30
Working Lunch
Session C: Aerosols
1:30
Uncertainty issues associated with remotely sensed data sets for aerosols
Lorraine Remer, NASA
2:00
Spatial statistics with an emphasis on aerosol data
Noel Cressie, Ohio State University
2:30
Discussion
Moderator: Steve Platnick, NASA
3:00
Break
Session D: Integrating models and data
3:15
Aerosol and cloud representation in global models
Joyce Penner, University of Michigan
3:45
Data assimilation as a hierarchical statistical process, interacting dynamically with modeling
Christopher Wikle, University of Missouri
4:15
Discussion
Moderator: John Bates, NOAA
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Uncertainty Management in Remote Sensing of Climate Data: Summary of a Workshop
Session E: Making progress through practical and institutional barriers
4:30
The practical and institutional barriers for making progress on developing and improving statistical techniques for processing, validating, and analyzing remotely sensed climate data
Doug Nychka, NCAR
5:00
Discussion
Moderator: Amy Braverman, Jet Propulsion Laboratory
5:25
Wrap-up and final remarks
5:30
Adjourn