PPT-Developing a climate prediction model for the Arctic:
Author : conchita-marotz | Published Date : 2017-05-07
NorCPM Noel Keenlyside Francois Counillon Ingo Bethke Yiguo Wang Mao Lin Shen Madlen Kimmritz Marius Årthun Tor Eldevik Stephanie Gleixner
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Developing a climate prediction model for the Arctic:: Transcript
NorCPM Noel Keenlyside Francois Counillon Ingo Bethke Yiguo Wang Mao Lin Shen Madlen Kimmritz Marius Årthun Tor Eldevik Stephanie Gleixner Helene . 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 . Noel . Keenlyside. Geophysical Institute, University of . Bergen. Ingo . Bethke. , Francois . Counillon. , Tor . Eldevik. , Anne Britt . Sandø. , . Øystein. . Skagseth. , . Yongqi. . Gao. , Helene . . The Inuit and the Arctic Notes. . . . T. he Arctic. The . Arctic. Region (Tundra). Very . flat. (predominantly). Mountains. in far north. Glaciers. Severe climate (. COLD). 10 months winter, cool summer. Comparisons among Observations, Models, and Atmospheric inversions. A. David McGuire and Co-authors. U. Alaska Fairbanks and U.S. Geological Survey. AGU Fall 2011 Meeting, GC41F-01. 8 December 2011. Co-authors:. Prediction is important for action selection. The problem:. prediction of future reward. The algorithm:. temporal difference learning. Neural implementation:. dopamine dependent learning in BG. A precise computational model of learning allows one to look in the brain for “hidden variables” postulated by the model. 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.. 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. The vanishing veneer of frozen ocean isn't just important for polar bears.. By: Russell . McLendon. 11/6/2015. 2. The Arctic hasn't been itself lately. Temperatures there are rising at twice the global rate, sparking an array of changes unlike anything in recorded history. One of the most striking examples is the region's sea ice, whose dramatic decline over the past decade has led to forecasts of an ice-free Arctic Ocean as early as the 2030s. . Toward seasonal to multi-annual marine biogeochemical prediction using GFDL’s Earth System Model Jong-yeon Park, Charles A. Stock, John P. Dunne, Xiaosong Yang, Anthony Rosati, Jasmin G. John, Shaoqing . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. contribution to GEO. Hironori . Yabuki. . 1. , Takeshi Sugimura . 1. , Takeshi Terui . 1. 1: National Institute for Polar Research . (. NIPR). Arctic Data . Archive System. Purpose of The Arctic Data Archive. This exercise is one of many PowerPoint programs from . http://murov.info. . This site presents images of animals and asks the user to name the animal. The images presented are animals that are experiencing worrisome declines in populations. Most of the declines are the result of human action and most often at least partially due to climate change (e.g., see: . 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. .
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