PPT-Decadal Variability, Impact, and Prediction of the

Author : alexa-scheidler | Published Date : 2018-03-23

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

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Decadal Variability, Impact, and Prediction of the: Transcript


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. 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. 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 . Phil Uttley. T. Wilkinson, P. Cassatella (Southampton). J. Wilms, M. Hanke, M. Böck (FAU) . K. Pottschmidt (NASA-GSFC). Introduction. . BHXRB hard state spectra show clear evidence for both disc and hot coronal components, as well as interaction between them (reflection).. Yu-Fen Huang. Hendricks E. A., B. d. . Mcnoldy. , and Wayne H. Schubert. Introduction. TC intensity change is caused by environmental, oceanic, and internal dynamical factors. (Wang and Wu 2004). . An important internal process is the dynamic instability. . M. Reddy, A. . Livorine. , R. . Naini. , H. Sucharew, A. Vagal. University of Cincinnati Neuroscience Institute. Poster No: EP-65. Control No: 1041. Disclosures. Mahati Reddy : None. Two-Way . Land/Atmosphere/Ocean . I. nteractions. Yongkang Xue. 1. , F. De Sales, Z. Zhang, Y. Wang, . Y. Liu. , H.-Y. Ma. , L. Marx, M. Ek, R. Yang, J.-W. Lee. 1. University of California, Los Angels . 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. Ned Bair . US Army Corps of Engineers Cold Regions Research and Engineering Laboratory. Earth Research Institute, UC - Santa Barbara. AVPRO. 9-10AM 2/27/14. 1. Campbell. , C.: Spatial variability of slab stability and fracture properties in avalanche starting zones, M.Sc., University of . 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. 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. Oliver Elison Timm ATM 306 Fall 2016. Information. ATM 306 . ES 232. Schedule. Monday, Wednesday. 11:00am-12:20pm. Office hours:. Mon 12:30-1:30pm. Thu 9:15-10:15am. Or by appointment. Contact. oelisontimm@albany.edu.

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