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The subseasonal to seasonal (S2S) prediction project database

Academic Article
Publication Date:
2017
abstract:
A database containing subseasonal to seasonal forecasts from II operational centers is available to the research community and will help advance our understanding of predictability at the subseasonal to seasonal time range.
Iris type:
01.01 Articolo in rivista
Keywords:
WEATHER FORECASTS; IMPACTS
List of contributors:
Mastrangelo, Daniele; Malguzzi, Piero
Authors of the University:
MASTRANGELO DANIELE
Handle:
https://iris.cnr.it/handle/20.500.14243/326082
Published in:
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
Journal
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URL

http://www.scopus.com/record/display.url?eid=2-s2.0-85011676258&origin=inward
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