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contributor authorJung, Thomas
contributor authorGordon, Neil D.
contributor authorBauer, Peter
contributor authorBromwich, David H.
contributor authorChevallier, Matthieu
contributor authorDay, Jonathan J.
contributor authorDawson, Jackie
contributor authorDoblas-Reyes, Francisco
contributor authorFairall, Christopher
contributor authorGoessling, Helge F.
contributor authorHolland, Marika
contributor authorInoue, Jun
contributor authorIversen, Trond
contributor authorKlebe, Stefanie
contributor authorLemke, Peter
contributor authorLosch, Martin
contributor authorMakshtas, Alexander
contributor authorMills, Brian
contributor authorNurmi, Pertti
contributor authorPerovich, Donald
contributor authorReid, Philip
contributor authorRenfrew, Ian A.
contributor authorSmith, Gregory
contributor authorSvensson, Gunilla
contributor authorTolstykh, Mikhail
contributor authorYang, Qinghua
date accessioned2017-06-09T16:45:42Z
date available2017-06-09T16:45:42Z
date copyright2016/09/01
date issued2016
identifier issn0003-0007
identifier otherams-73632.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215768
description abstracthe polar regions have been attracting more and more attention in recent years, fueled by the perceptible impacts of anthropogenic climate change. Polar climate change provides new opportunities, such as shorter shipping routes between Europe and East Asia, but also new risks such as the potential for industrial accidents or emergencies in ice-covered seas. Here, it is argued that environmental prediction systems for the polar regions are less developed than elsewhere. There are many reasons for this situation, including the polar regions being (historically) lower priority, with fewer in situ observations, and with numerous local physical processes that are less well represented by models. By contrasting the relative importance of different physical processes in polar and lower latitudes, the need for a dedicated polar prediction effort is illustrated. Research priorities are identified that will help to advance environmental polar prediction capabilities. Examples include an improvement of the polar observing system; the use of coupled atmosphere?sea ice?ocean models, even for short-term prediction; and insight into polar?lower-latitude linkages and their role for forecasting. Given the enormity of some of the challenges ahead, in a harsh and remote environment such as the polar regions, it is argued that rapid progress will only be possible with a coordinated international effort. More specifically, it is proposed to hold a Year of Polar Prediction (YOPP) from mid-2017 to mid-2019 in which the international research and operational forecasting communites will work together with stakeholders in a period of intensive observing, modeling, prediction, verification, user engagement, and educational activities.
publisherAmerican Meteorological Society
titleAdvancing Polar Prediction Capabilities on Daily to Seasonal Time Scales
typeJournal Paper
journal volume97
journal issue9
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/BAMS-D-14-00246.1
journal fristpage1631
journal lastpage1647
treeBulletin of the American Meteorological Society:;2016:;volume( 097 ):;issue: 009
contenttypeFulltext


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