PPT-Climate Prediction Center

Research InterestsNeeds 1 Outline Operational Prediction Branch research needs Operational Monitoring Branch research needs New experimental products at CPC Background on CPC Thanks to CICSESSICUMD for Inviting us . S are available at httpwwwcpcncepnoaagovproductsprecipCWlinkghazardsindexphp Although the MJO remained active during the past week a number of observational indicators show a weakened and somewhat less coherent signal The upper atmosphere portion of Prediction . Center’s Degree Day Outlooks. April 18, 2013. David Unger. Climate Prediction Center . NOAA/NWS/NCEP. College Park, Maryland. david.unger@noaa.gov. 2013 Energy Fundamentals Forum: The NGL Heavyweights. 2015. Climate. . Prediction. and . Climate. . Services. http://ic3.cat/wikicfu. Virginie Guemas and the Climate Forecasting Unit . 9 February 2015. Climate. . timescales. and . climate. . prediction. Chris Ferro (University of Exeter). Tom . Fricker. , . Fredi. Otto, Emma Suckling. 12th International Meeting on Statistical Climatology (28 June 2013, . Jeju. , Korea). Credibility and performance. NorCPM. Noel . Keenlyside. Francois . Counillon. , Ingo . Bethke. , . Yiguo. . Wang, . Mao. -Lin . Shen. , . Madlen. . Kimmritz. , . Marius . Årthun. , Tor . Eldevik. , Stephanie . Gleixner. , . Helene . Presentation to AMS Board on Enterprise Communications. September 2012. ESPC Overview. Introduction. ESPC is an . interagency collaboration . between DoD (Navy, Air Force), NOAA, DoE, NASA, and NSF for coordination of research to operations for an earth system analysis and extended range prediction capability. . Chris Ferro (University of Exeter). Tom . Fricker. , . Fredi. Otto, Emma Suckling. Credibility and performance. Many factors may influence credibility judgments, but should do so if and only if they affect our expectations about the performance of the predictions.. What Do . W. e . D. o?. Research. Hurricane landfall return periods. Storm surge return periods. Rainfall frequency analysis. Education/Outreach. IWT. Social Media. Teaching. Climate Data Services. Archiving. combining predictive modeling with monitoring. . Tara M. Barrett. 1 . ,Greg Latta. 2. , Paul E. Hennon. 3. , Bianca N.I. Eskelson. 2. , . Hailemariam. Temesgen. 2. 1. Unaffiliated. 2. Oregon State University. 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. Jin Huang. CTB Director. . Mission . To accelerate the transition of scientific advances from the climate research community to improved NOAA climate forecast products and services. . *CFS – Climate Forecast . 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. . Sub-Seasonal . to seasonal . forecasting. Dr. .. Cedric . J. VAN MEERBEECK. (cmeerbeeck@cimh.edu.bb),. Climatologist. Caribbean . Institute for Meteorology and Hydrology (CIMH), Barbados. St. Michael Centre for Faith and . Jin Huang. CTB Director. . Mission . To accelerate the transition of scientific advances from the climate research community to improved NOAA climate forecast products and services. . *CFS – Climate Forecast .