PPT-Decadal Variability, Impact, and Prediction of the

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 AirSea Interaction Workshop Boulder 57 August . . Speaker/ Pei-Ning Kirsten Feng. Advisor/ Yu-Heng Tseng. Outline . Overview. Motivation . Objective. Data and Model. Ongoing / Future . work. Summary . North Pacific Decadal Variations. [. Di Lorenzo et al.,2008; Bond et al., 2003. of Sun-like stars. (“solar variability after dark”). Wes Lockwood, Lowell Observatory. Gregory Henry, TSU. Robotic photometry 1993-2014. Tennessee State Univ. telescopes at Fairborn Observatory. Lou Boyd, input. 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. | climate change and natural variability. As an example, consider the prolonged drought conditions of the American West since the late 1990s. Most of the twenty-first-century climate change projection David A. Ridley, Colette L. Heald. Dept. Civil & Environmental Engineering, MIT. Thanks to: Joe Prospero, . Charlie Koven, . Kerstin . Schepanski. , Sophie Cowie, John Marsham and Owen Doherty.. This work is supported by . Can decadal prediction anticipate events such as the warming hiatus?. Danny Barandiaran, Shih-Yu Wang. Utah State University. The “warming hiatus”. r. 2. < 0?. No slowdown in increase of ocean heat content. predictability. and future of the AMOC. Didier Swingedouw. Juliette Mignot. , . Romain Escudier, Sonia . Labetoulle. , Eric . Guilyardi. Christian . Rodehacke. , . Erik . Behrens, . Matthew . Menary, . Xun. Jiao, . Abbas. . Rahimi. , . Balakrishnan. . Narayanaswamy. , . Hamed. . Fatemi. , Jose Pineda de . Gyvez. , Rajesh K. Gupta. UCSD, . NXP Semiconductors. Motivation. Variability causes timing errors. Interannual. -to-Decadal Predictions Experiments.  . L. Goddard. , on behalf of the . US CLIVAR Decadal Predictability Working Group & Collaborators. : . Lisa Goddard, . Arun. Kumar, Amy Solomon, James Carton, Clara . Meridional. Overturning Circulation . and the. Prediction . of North Atlantic . Sea Surface Temperature. Mojib. . Latif. , Helmholtz Centre for Ocean Research . and . Kiel . University. Klöwer. , M., et al. (. 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. A community-driven initiative to harmonize data practices, research priorities and infrastructure for 2025. Carol B. Meyer. Foundation for Earth Science. September 23, 2013. Overview. 1. About . ESIP. Objectives. To better understand variability in eastern upwelling regions and the Gulf of Guinea. To enhance climate modelling and prediction capabilities. Improve understanding of marine ecosystems for better prediction and management. . for. Non-. Crimp. . Fabrics. R. Loendersloot, R. Akkerman. Production. Technology, University of Twente. r.loendersloot@utwente.nl. Introduction. Resin Transfer Moulding (RTM) is a closed mould .