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Advancing research for seamless earth system prediction

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  • Paolo M. Ruti
  • Oksana Tarasova
  • Julia H. Keller
  • Greg Carmichael
  • Øystein Hov
  • Sarah C. Jones
  • Deon Terblanche
  • Cheryl Anderson-Lefale
  • Ana P. Barros
  • Peter Bauer
  • Véronique Bouchet
  • Guy Brasseur
  • Gilbert Brunet
  • Phil DeCola
  • Victor Dike
  • Mariane Diop Kane
  • Christopher Gan
  • Kevin R. Gurney
  • Steven Hamburg
  • Wilco Hazeleger
  • Michel Jean
  • David Johnston
  • Peter Li
  • Xudong Liang
  • Valerio Lucarini
  • Amanda Lynch
  • Elena Manaenkova
  • Nam Jae-Cheol
  • Satoru Ohtake
  • Nadia Pinardi
  • Jan Polcher
  • Elizabeth Ritchie
  • Andi Eka Sakya
  • Celeste Saulo
  • Amith Singhee
  • Ardhasena Sopaheluwakan
  • Andrea Steiner
  • Alan Thorpe
  • Moeka Yamaji


Publication details

JournalBulletin of the American Meteorological Society
DatePublished - 19 Feb 2020
Issue number1
Pages (from-to)E23-E35
Original languageEnglish


Whether on an urban or planetary scale, covering time scales of a few minutes or a few decades, the societal need for more accurate weather, climate, water, and environmental information has led to a more seamless thinking across disciplines and communities. This challenge, at the intersection of scientific research and society’s need, is among the most important scientific and technological challenges of our time. The “Science Summit on Seamless Research for Weather, Climate, Water, and Environment” organized by the World Meteorological Organization (WMO) in 2017, has brought together researchers from a variety of institutions for a cross-disciplinary exchange of knowledge and ideas relating to seamless Earth system science. The outcomes of the Science Summit, and the interactions it sparked, highlight the benefit of a seamless Earth system science approach. Such an approach has the potential to break down artificial barriers that may exist due to different observing systems, models, time and space scales, and compartments of the Earth system. In this context, the main future challenges for research infrastructures have been identified. A value cycle approach has been proposed to guide innovation in seamless Earth system prediction. The engagement of researchers, users, and stakeholders will be crucial for the successful development of a seamless Earth system science that meets the needs of society.

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© 2019 American Meteorological Society. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.


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