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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