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Outcomes of the WMO Prize Challenge to Improve Subseasonal to Seasonal Predictions Using Artificial Intelligence.

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Title: Outcomes of the WMO Prize Challenge to Improve Subseasonal to Seasonal Predictions Using Artificial Intelligence.
Authors: Vitart, F.1, frederic.vitart@ecmwf.int, Robertson, A. W.2, Spring, A.3, Pinault, F.1, Roškar, R.4, Cao, W.5, Bech, S.6, Bienkowski, A.7, Caltabiano, N.5, De Coning, E.5, Denis, B.8, Dirkson, A.9, Dramsch, J.1, Dueben, P.1, Gierschendorf, J.10, Kim, H. S.7, Nowak, K.11, Landry, D.10, Lledó, L.6, Palma, L.6
Source: Bulletin of the American Meteorological Society; Dec2022, Vol. 103 Issue 12, pE2878-E2886, 9p
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="JN" term="%22Bulletin+of+the+American+Meteorological+Society%22">Bulletin of the American Meteorological Society</searchLink>; Dec2022, Vol. 103 Issue 12, pE2878-E2886, 9p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=161178376
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