1. Progress of US CLIVAR during 1998-2013 Reasons for recapping progress: - Present advances in scientific understanding of the climate system - Demonstrate the return on investment of agency funding and interagency coordination of US CLIVAR research US CLIVAR has had two phases - Phase 1, 2000 through 2005—Aligned with International Science Plan - Phase 2, since 2005 Reorganization—Leverages intl efforts and provides information to be more useful domestically How do we best present progress? - By science question? - By program goal? - By phenomena or research topic? - By our panel foci? Should set stage for science questions and goals of future program

2. By Program Goals  Identify and understand the major patterns of climate variability on seasonal, decadal and longer time scales and evaluate their predictability  Expand our capacity in short term (seasonal-to-interannual) climate prediction and search for ways to predict decadal variability  Better document rapid climate changes and the mechanisms for these events, and evaluate the potential for abrupt climate changes in the future  Evaluate and improve the models used to project climate change due to human activity, including anthropogenically induced changes in atmospheric composition  Detect and describe any climate changes that may occur “U.S. CLIVAR has identified improved predictive capability as the main objective to leave as its legacy. "

3. By Phenomena Modes of Variability El Nino-Southern Oscillation Tropical Atlantic Variability Madden Julian Oscillation Arctic Oscillation/North Atlantic Oscillation Pacific Decadal Variability Atlantic Multidecadal Variabilty Antarctic Oscillation Ocean Variability and Predictability Atlantic Meridional Overturning Circulation North Pacific Gyre Oscillation Western Boundary Currents Southern Ocean/Antarctic Circumpolar Current Salinity Variability

4. By Phenomena Monsoon Systems American Monsoon African Monsoon Asian-Australian Monsoon Climate Extremes Drought Hurricanes Temperature and Precipitation Extremes Anthropogenic Climate Change Response of Modes/Patterns Response of Extremes Abrupt Changes Sea Level Rise

5. By Activity Building and Bolstering the Climate Observing and Data Systems In-Situ Tropical Moored Arrays, Surface Drifters, Repeat Hydrography, VOS/XBT, ARGO Array, Ocean Reference Sites, AMOC Observing System, Surface Met and Upper Air Network… Remote Sensing GOES/NPOESS, SST, Precipitation, Clouds, GPS/Integrated Water Vapor, Altimetry, Scatterometry, Ocean Color, Salinity,,, Climate Model Development and Improvement Process Studies Climate Process Teams Analyses and Reanalyses Assimilated Ocean and Atmospheric Data Sets and Reanalyses, Coupled Reanalyses Prediction and Projection Improvement Applications Interface