PPT-Dynamical downscaling of

historical and projected winter precipitation in the Wasatch Range for the CIWATER project Court Strong Jim Steenburgh Trevor Alcott University of Utah Department of Atmospheric Sciences. L Smith ASU Monotone Dynamical Systems Sontagfest May 23 2011 1 16 brPage 2br Monotone Dynamical System State space metric space with a closed partial order relation Dynamics discretetime or continuoustime semi64258ow 934 Notation 934 conti . Dark Energy . What is dynamical dark energy ?. What . do we know about. . Dark Energy ? . Dark Energy . dominates the Universe. . Energy - density in the Universe. . =. Mixed Logical Dynamical Systems Outline Mixed Logical Dynamical Systems (MLD) Piecewise Affine Systems (PWA) Optimal Control for MLD Model predictive Control (MPC) Model Predictive Control For MLD Mix s. tudy of . hadron. . r. esonances and strangeness production. Hiroyuki Kamano. (RCNP, Osaka U.). in collaboration with. B. Julia-Diaz (Barcelona U.), T.-S. H. Lee (Argonne),. A. Matsuyama (Shizuoka U.), S. Nakamura (. Analysis . Section. , CGD, NCAR, USA. Detection. . and. . attribution. . of. extreme . temperature. . and. . drought. . using. an . analogue-based. . dynamical. . adjustment. . technique. ICM. , Paris, . France. ETH, Zurich, Switzerland. Dynamic. Causal . Modelling. of . fMRI. . timeseries. . Overview. 1 DCM: introduction. 2 Dynamical systems theory. 4 Bayesian inference. . 5 Conclusion. Siwei. . Liu. 1,. Yang Zhou. 1. , Richard Palumbo. 2. , & Jane-Ling Wang. 1. 1. UC Davis; . 2. University of Rhode Island. Motivating Study. Physiological synchrony between romantic partners during nonverbal conditions. Xiaohui XIE. Supervisor: Dr. Hon . Wah. TAM. 2. Outline. Problem background and introduction. Analysis for dynamical systems with time delay. Introduction of dynamical systems. Delayed dynamical systems approach. Symmetries . and . their . Implications. R. F. . Casten. Yale. SDANCA, Oct. 9, 2015. . SU(3) . O(3) . Characteristic signatures:. Presentation by: Mehdi Shahriari. Advisor: Guido . Cervone. Research Questions. How to use Analog Ensemble . for probabilistic weather prediction?. . What is the uncertainty associated with wind power estimates?. Daniel Holdaway, . Yannick . Trémolet. , Anna . Shlyaeva. , Mark . Miesch. , . Stephen . Herbener. , Guillaume . Vernieres. , Rahul Mahajan and Jong Kim . Joint Center for Satellite Data Assimilation (JCSDA). Vimal Singh, . Ahmed H. Tewfik. The University of Texas at Austin. 1. Outline. Introduction. Algorithm. Results. Conclusions. 2. Introduction. Algorithm. Results. Conclusions. Significance. Fast magnetic resonance . JIAN LU, L. RUBY LEUNG, QING YANG. G. Chen, W. COLLINS, FUYU LI, J. HOU AND X. FENG. Atmospheric Science and Global Change Division. Pacific Northwest National Laboratory, US Department of Energy. Background and Motivation. Downscaling methods:. LOCA. (Pierce et al., 2014):. Retains GCM-projected precipitation changes as a ratio. Preserves observed number of dry days in historical period. Preserves mean changes. Bias corrects for low-frequency variability.