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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