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Advancing polar prediction capabilities on daily to seasonal time scales

  • Thomas Jung
  • , Neil D. Gordon
  • , Peter Bauer
  • , David H. Bromwich
  • , Matttthieu Chevallier
  • , Jonathan J. Day
  • , Jackie Dawson
  • , Francisco Doblas-Reyes
  • , Christopher Fairall
  • , Helge F. Goessling
  • , Marika Holland
  • , Jun Inoue
  • , Trond Iversen
  • , Stefanie Klebe
  • , Peter Lemke
  • , Martin Losch
  • , Alexander Makshtas
  • , Brian Mills
  • , Pertttti Nurmi
  • , Donald Perovich
  • Philip Reid, Ian A. Renfrew, Gregory Smith, Gunilla Svensson, Mikhail Tolstykh, Qinghua Yang
  • University of Bremen
  • Neil Gordon Consulting
  • European Centre for Medium-Range Weather Forecasts
  • Ohio State University
  • Centre National de Recherches Météorologiques
  • University of Reading
  • University of Ottawa
  • ICREA
  • National Oceanic and Atmospheric Administration
  • Alfred Wegener Institute - Helmholtz Centre for Polar and Marine Research
  • National Center for Atmospheric Research
  • NIPR Tokyo
  • NMI
  • AARI
  • Université Laval and Environment and Climate Change Canada
  • Finnish Meteorological Institute
  • United States Army Engineer Research and Development Center
  • Bureau of Meteorology Australia
  • University of East Anglia
  • Stockholm University
  • Russian Academy of Sciences
  • NMEFC

Research output: Contribution to journalArticlepeer-review

250 Scopus citations

Abstract

The growing demand for polar predictive capacity, along with a community ready to take on the challenge through international collaboration, means that significant future advances can be expected that go well beyond the polar regions and time scales. Given the increasing interest in polar regions, it has been argued that existing prediction capacity needs to be urgently enhanced to effectively manage the risks and opportunities associated with growing human activities and to support local communities in a rapidly changing climate. It is important to point out that by moving polar prediction into the focus of the international community, much-needed progress in many areas of climate research and prediction can also be anticipated. First, there is no clear distinction between the weather and climate research community in polar regions. Second, coupled models and coupled data assimilation systems will need to be used, even for short-term predictions traditionally addressed by atmosphere-only systems. Coupled data assimilation systems will also be important for optimizing the observing system in polar regions.

Original languageEnglish
Pages (from-to)1631-1647
Number of pages17
JournalBulletin of the American Meteorological Society
Volume97
Issue number9
DOIs
StatePublished - Sep 2016
Externally publishedYes

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