PPT-Skillful Arctic climate predictions
Author : calandra-battersby | Published Date : 2017-12-17
Wilco Hazeleger wwwesciencecenternl Results Lagged correlation Cecilia Bitz SST anomaly December K Climatology May sea ice edge May sea ice edge Surface ocean relates
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "Skillful Arctic climate predictions" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Skillful Arctic climate predictions: Transcript
Wilco Hazeleger wwwesciencecenternl 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. 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 . 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 . -phase clouds cause climate model biases in Arctic wintertime temperature inversions. OBJECTIVE. We . show how the formation of Arctic air masses leads to the emergence of a cloudy and a clear state of the Arctic . Climate Change Debate. Issues for Canada. NASA’s Evidence of Climate Change. Sea level rise. Global . sea level rose about 17 centimeters . in . the last century. The rate in the last decade, however, is nearly double that of the last . 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 . 3.8 Time Series. What we are looking at now. Very important for Merit AND Excellence!. Fitted vs. Raw. This involves comparing the raw data (black line) with the fitted model (green line).. In particular, we are looking at how well the model fits the data. . Chris Ferro (University of Exeter). T. . Fricker. , . F. . Otto, . D. . Stephenson, . E. . Suckling. CliMathNet. Conference (3 July 2013, Exeter, UK). Evaluating decadal hindcasts: . why and . how?. 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. . 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: . 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 . 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. .
Download Document
Here is the link to download the presentation.
"Skillful Arctic climate predictions"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents