PPT-Evaluation of CMIP5 decadal experiments in prediction of SS

Can decadal prediction anticipate events such as the warming hiatus Danny Barandiaran ShihYu Wang Utah State University The warming hiatus r 2 lt 0 No slowdown in increase of ocean heat content. Saehoon Kim. §. , . Yuxiong He. *. ,. . Seung-won Hwang. §. , . Sameh Elnikety. *. , . Seungjin Choi. §. §. *. Web Search Engine . Requirement. 2. Queries. High quality + Low latency. This talk focuses on how to achieve low latency without compromising the quality. Prediction is important for action selection. The problem:. prediction of future reward. The algorithm:. temporal difference learning. Neural implementation:. dopamine dependent learning in BG. A precise computational model of learning allows one to look in the brain for “hidden variables” postulated by the model. Doug Smith, Martin Andrews, Ben Booth, Nick Dunstone, Rosie Eade, Leon Hermanson, Gareth Jones, Jeff Knight, Adam Scaife, Katy Sheen, Vikki Thompson . Contents. Results from high resolution decadal predictions. Prediction is important for action selection. The problem:. prediction of future reward. The algorithm:. temporal difference learning. Neural implementation:. dopamine dependent learning in BG. A precise computational model of learning allows one to look in the brain for “hidden variables” postulated by the model. Matthew S. Gerber, Ph.D.. Assistant Professor. Department of Systems and Information Engineering. University of Virginia. IACA Presentations on Social Media. The Modern Analyst. and Social Media (Woodward). Presentation to AMS Board on Enterprise Communications. September 2012. ESPC Overview. Introduction. ESPC is an . interagency collaboration . between DoD (Navy, Air Force), NOAA, DoE, NASA, and NSF for coordination of research to operations for an earth system analysis and extended range prediction capability. . Chris Ferro (University of Exeter). T. . Fricker. , . F. . Otto, . D. . Stephenson, . E. . Suckling. CliMathNet. Conference (3 July 2013, Exeter, UK). Evaluating decadal hindcasts: . why and . how?. Daniel N. Baker. Laboratory for Atmospheric and Space Physics. CU-Boulder. e. GY. Declaration. . We have a shared responsibility to create and implement strategies to realize the full potential of digital information for present and future generations. In the 21. the capacity of seasonal-to-decadal predictions in the Arctic and over the Northern . Hemisphere. Daniela Matei (MPI) and Noel . Keenlyside. (. UiB. ). Motivation:. Observations . and ocean, atmosphere, and coupled modelling studies indicate a two-way link between the North Atlantic and Nordic Seas/Arctic that implies. Kuroshio. Extension . System . B. Qiu. 1. , S. Chen. 1. , N. Schneider. 1. and B. Taguchi. 2. 1. Dept of Oceanography, University of Hawaii, USA. 2. Earth Simulator Center, JAMSTEC, Japan. Climate Implications of Frontal Scale Air-Sea Interaction Workshop, Boulder, 5-7 August . Intercomparison. Project. Sarah Callaghan: British Atmospheric Data Center . Sylvia Murphy: NOAA/CIRES. CISL Seminar, August 29. th. , National Center for Atmospheric Research, Boulder CO. CMIP5 Metadata and the Metafor project . Sea Ice . in CMIP5 Climate Model Simulations. . Xiangdong . Zhang, . and . Chuhan. Lu. International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, AK . 99775. Email: . xdz@iarc.uaf.edu. how to process (visualise, analyse, etc) the data: . . ncdump. , python, ferret, .... MIP == Model . Intercomparision. Project. The . homepage. of the . Coupled Model . Intercomparison. Project. (. a. ,n) Nuclear Data Scoping Study. Catherine Romano. David Brown (BNL) Stephen Croft (ORNL) Andrea Favalli (LANL) Les . Nakae. (LLNL) Marco Pigni (ORNL) Steve Skutnik (ORNL) Michael S. Smith (ORNL) Will Wieselquist (ORNL) Michael Zerkle (NNL).