TY - JOUR
T1 - Advancing polar prediction capabilities on daily to seasonal time scales
AU - Jung, Thomas
AU - Gordon, Neil D.
AU - Bauer, Peter
AU - Bromwich, David H.
AU - Chevallier, Matttthieu
AU - Day, Jonathan J.
AU - Dawson, Jackie
AU - Doblas-Reyes, Francisco
AU - Fairall, Christopher
AU - Goessling, Helge F.
AU - Holland, Marika
AU - Inoue, Jun
AU - Iversen, Trond
AU - Klebe, Stefanie
AU - Lemke, Peter
AU - Losch, Martin
AU - Makshtas, Alexander
AU - Mills, Brian
AU - Nurmi, Pertttti
AU - Perovich, Donald
AU - Reid, Philip
AU - Renfrew, Ian A.
AU - Smith, Gregory
AU - Svensson, Gunilla
AU - Tolstykh, Mikhail
AU - Yang, Qinghua
PY - 2016/9
Y1 - 2016/9
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84979955758
U2 - 10.1175/BAMS-D-14-00246.1
DO - 10.1175/BAMS-D-14-00246.1
M3 - Article
AN - SCOPUS:84979955758
SN - 0003-0007
VL - 97
SP - 1631
EP - 1647
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 9
ER -