PPT-Arctic Sea Ice Predictability & the Sea Ice Prediction

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 ie the summer and into fall is of particular interest to many stakeholders. and Predicting Land-ice Loss . in the Arctic and its impacts. Fiamma Straneo (WHOI), Ted . Scambos. (NSIDC). 1. Greenland Ice Sheet . (6.5 m SLR). Arctic Ice Caps/Glaciers. (0.35 m SLR). Greenland loss rate: 211 . Presentation by Kathleen Crane. Arctic Research, Climate Program Office. National Oceanic and Atmospheric. Administration. kathy.crane@noaa.gov. NOAA’s Role in the Arctic:. Ocean Observations. Atmospheric . Its Impact on Earth’s Spheres and Sustainability. What constitutes a Polar Ice Cap?. A Polar ice cap is a high-latitude region of land or water that is covered in ice.. Ice caps form as ice accumulates year after year. As part of a cyclical process, each year some of the ice melts in the summer, and then reforms in the winter. 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. . 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 . On behalf of. ARM . MOSAiC. Team. Matthew Shupe, . Gijs. de Boer, Klaus . Dethloff. , Elizabeth . Hunke. , . Wieslaw. . Maslowski. , Allison . McComiskey. , Ola . Persson. , David Randall, Michael . 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. Models. :. CanCM3-standard, CanCM3-improved, CanCM4, GEM-NEMO and CFSv2. . Methodology. : . . - hindcast period: 29 years (1982-2010). - 6 months lead-time. . - November and May initiation. Luqi. Professor of Computer Science. February 5, 2018. What is New in January 2018. 1. . . . We've . Measured Sea Level Rise Wrong for 20 . years. 2. . Rapid . Climatic Changes Are Afoot in the . Arctic. Stephanie . Pfirman. and Jessica . Brunacini. Columbia University and Barnard College. 1. http://. www.arctic.noaa.gov. /future/. sea_ice.html. Loss of Summer Sea Ice. 2. Seasonal Variations In Sea Ice. Presented To: . 7. th. Ice Diminished Arctic Symposium. RADM David J. Hahn. Chief of Naval Research . Office of Naval Research. 18 July 2017. Distribution Statement A: Approved for public release. MAJOR THRUSTS:. Presented By: . Bob . Grumbine. (. NWS/NCEP). Contributors: . Hendrik Tolman . 2. Operational System Attribute(s). System Name. Acronym. Areal. . Coverage. Horz. Res. Cycle . Freq. Fcst. Length (. Arctic tundra greenness has increased since 1982, but trends and variability have become more complex since the early 2000s. . Have links between . tundra greenness. , . spring sea-ice extent. , and . Andrey Proshutinsky. Physical Oceanography Department. AOMIP young scientists school. Tuesday October 20, 2009. 1. Major themes:. Wind blows – ice goes: synoptic scales of variability. Seasonal changes and effects.