PPT-Developing a climate prediction model for the Arctic:

NorCPM Noel Keenlyside Francois Counillon Ingo Bethke Yiguo Wang Mao Lin Shen Madlen Kimmritz Marius Årthun Tor Eldevik Stephanie Gleixner Helene . Decline in the extent and thickness of Arctic sea ice is an active area of scientific effort and one with significant implications for ecosystems and communities.. Forecasting for seasonal timescales (i.e., the summer and into fall) is of particular interest to many stakeholders.. Noel . Keenlyside. Geophysical Institute, University of . Bergen. Ingo . Bethke. , Francois . Counillon. , Tor . Eldevik. , Anne Britt . Sandø. , . Øystein. . Skagseth. , . Yongqi. . Gao. , Helene . 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. Research Interests/Needs. 1. Outline. Operational Prediction Branch research needs. Operational Monitoring Branch research needs. New experimental products at CPC. Background on CPC. Thanks to CICS/ESSIC/UMD for Inviting us . Fauna. Dr. Natalie . Boelman. Earth2Class Workshops for Teachers. 11 January 2014. Dr. Natalie . Boelman. http://www.ldeo.columbia.edu/user/nboelman. Explores the cascade of changes triggered when Arctic vegetation and seasonality are altered . 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. 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.. On behalf of. ARM . MOSAiC. Team. Matthew Shupe, . Gijs. de Boer, Klaus . Dethloff. , Elizabeth . Hunke. , . Wieslaw. . Maslowski. , Allison . McComiskey. , Ola . Persson. , David Randall, Michael . 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. Wilco Hazeleger. www.esciencecenter.nl. Results – Lagged correlation. Cecilia Bitz. SST anomaly December (K). Climatology May sea ice edge. May sea ice edge. Surface ocean relates to sea ice variability. 1. . Lisa Grace S. Bersales, PhD. 2. and Lilian A. de las Llagas,PhD. 3. 1 . based on a study of the UP School of Statistics Research Foundation and the UP Manila College of Public Health funded by the DOST-PCHRD . 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 . Water samples collected over six years from major Arctic rivers (. www.arcticgreatrivers.org. ) were analyzed using the MagLab’s record-setting 21T ultra-high-resolution Fourier-transform ion cyclotron resonance mass spectrometer. This magnet system’s resolving power is capable of determining elemental composition for tens of thousands of individual molecules in a single water sample. Combined with isotopic data, these formulae revealed both a common core amongst samples, as well as unique tracers of seasonality and a changing Arctic. . 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 .