PPT-Evaluation of CMIP5 decadal experiments in prediction of SS
Author : kittie-lecroy | Published Date : 2016-10-31
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
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Evaluation of CMIP5 decadal experiments in prediction of SS: Transcript
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. A set of 16 climate models from the CMIP5 initialized experiments are analyzed to see if they can simulate the mid-1970s shift when there was rapid global warming, and the early-2000s hiatus when warming slowed. All 262 ensemble members from uninitialized CMIP5 models are analyzed to show 10 members simulate the current observed hiatus when internal variability in the models happens, by chance, to sync up with the observed internal variability, but there is no predictive value. Debajit. B. h. attacharya. Ali . JavadiAbhari. ELE 475 Final Project. 9. th. May, 2012. Motivation. Branch Prediction. Simulation Setup & Testing Methodology. Dynamic Branch Prediction. Single Bit Saturating Counter. 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. . Event. . Extraction. . and. . Event. . Schema. . Induction. Lifu. . Huang. 1. ,. . Taylor. . Cassidy. 2. ,. . Xiaocheng. . Feng. 3. ,. . Heng. . Ji. 1. ,. . Clare. . R.. . Voss. 2. ,. 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 . 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. Columbia University. Analysis of 20. th. Century . Atlantic hurricane potential intensity . and. Tropical Cyclone Activity in. the CMIP5 models. Atlantic Sector Climate Variability over the Last Millennium and the Near Term Future Workshop. Wongun. Choi. Scene Type. City. Image classification: from where the image is taken? . Static Scene Elements. Road. Sidewalk. Semantic segmentation: what is the pixel?. 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 . with recurrent neural networks. Aymen. . Cherif. . , Hubert . Cardot. , . Romuald. Bone. 2011, . Necurocomputing. Presented by . Chien-Hao. Kung. 2011/11/3. 2. Outlines. Motivation. Objectives. Methodology. The set of 16 initialized CMIP5 models is analyzed for predictions of the hiatus made from the mid-1990s. Could we have predicted the early-2000s hiatus of global warming in the 1990s?. Impact. If the recent methodology of initialized decadal climate prediction could have been applied in the mid-1990s using the CMIP5 multi-models, both the negative phase of the IPO in the early 2000s as well as the hiatus could have been simulated, with the multi-model average performing better than most of the individual models. . 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. (. 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).
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