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Network-based forecasting of climate phenomena.
Ludescher, Josef; Martin, Maria; Boers, Niklas; Bunde, Armin; Ciemer, Catrin; Fan, Jingfang; Havlin, Shlomo; Kretschmer, Marlene; Kurths, Jürgen; Runge, Jakob; Stolbova, Veronika; Surovyatkina, Elena; Schellnhuber, Hans Joachim.
Afiliação
  • Ludescher J; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany; josef.ludescher@pik-potsdam.de maria.martin@pik-potsdam.de.
  • Martin M; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany; josef.ludescher@pik-potsdam.de maria.martin@pik-potsdam.de.
  • Boers N; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany.
  • Bunde A; Earth System Modelling, School of Engineering & Design, Technical University of Munich, 80333 Munich, Germany.
  • Ciemer C; Department of Mathematics and Global Systems Institute, University of Exeter, Exeter, EX4 4QE United Kingdom.
  • Fan J; Institute for Theoretical Physics, Justus-Liebig-Universität Giessen, 35392 Giessen, Germany.
  • Havlin S; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany.
  • Kretschmer M; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany.
  • Kurths J; School of Systems Science, Beijing Normal University, 100875 Beijing, China.
  • Runge J; Department of Physics, Bar-Ilan University, Ramat-Gan, 52900 Israel.
  • Stolbova V; Department of Meteorology, University of Reading, Reading, RG6 6BB United Kingdom.
  • Surovyatkina E; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany.
  • Schellnhuber HJ; Department of Control Theory, Nizhny Novgorod State University, 603950 Nizhny Novgorod, Russia.
Proc Natl Acad Sci U S A ; 118(47)2021 11 23.
Article em En | MEDLINE | ID: mdl-34782455
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2021 Tipo de documento: Article