PPT-Decadal Climate Variability and Predictability

Discussion of CLIVAR Research Focus PanCLIVAR Meeting July 1618 2014 PanCLIVAR Meeting Objectives Review past and ongoing activities Discuss and set in place the implementation of CLIVARs future plans . . 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. | 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 . 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. and Dynamics of Tropical Cyclone Rapid Intensification Deduced from High-Resolution Stochastic Ensembles. Falko. . Judt. and . Shuyi. S. Chen. Wei-Ting Fang. 2017.03.21. Outline. Introduction. Stochastic . 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. Sean PF Casey. 1,2. , Ross N. Hoffman. 1,2. , Robert Atlas. 2. , and Lidia Cucurull. 2. 1. Cooperative Institute for Marine and Atmospheric Studies/University of Miami. 2. NOAA/OAR/Atlantic Oceanographic and Meteorological Laboratory. Rebecca . Saari. Assistant Professor. Civil & Environmental Engineering. Y.F. Mei, E. . Monier. , F. Garcia-Menendez. CMAS Conference. Chapel Hill, NC, October 23, 2016. 2. Connecting Policies to Air Quality Impacts. Visbeck. Co-Chairs, International CLIVAR SSG. Strategy and Evolution of CLIVAR. . Mission. To observe, simulate and predict changes in Earth’s climate system with a . focus on ocean-atmosphere interactions. Lauren Stevens and Matt Chamberlain. Outline. :. Set-up of the experiment. Potential predictability of ENSO. Potential predictability of air-sea CO2 fluxes and Net Primary Productivity. Future Work. 1. Productivity. Justin . Sheffield. 1. , . Julio E. Herrera-. Estrada. 2. , . Kelly . Caylor. 1. , . Eric F. . Wood. 1. 1. Dept. Civil and Environmental Engineering, Princeton University, Princeton, NJ. 1. Mian Chin. NASA Goddard Space Flight Center, USA. Huisheng. . Bian. University of Maryland at Baltimore County/NASA GSFC, USA. Qian Tan. Bay Area Environmental Research Institute/NASA Ames, USA. Ghassan Taha.