Stochastic parameterization toward a new view of weather and climate models

  • Judith Berner
  • , Ulrich Achatz
  • , Lauriane Batté
  • , Lisa Bengtsson
  • , Alvaro De La Cámara
  • , Hannah M. Christensen
  • , Matteo Colangeli
  • , Danielle R.B. Coleman
  • , Daaaan Crommelin
  • , Stamen I. Dolaptchiev
  • , Christian L.E. Franzke
  • , Petra Friederichs
  • , Peter Imkeller
  • , Heikki Järvinen
  • , Stephan Juricke
  • , Vassili Kitsios
  • , François Lott
  • , Valerio Lucarini
  • , Salil Mahajaajaajan
  • , Timothy N. Palmer
  • Cécile Penland, Mirjajana Sakradzijaja, Jin Song Von Storch, Antje Weisheimer, Michael Weniger, Paul D. Williams, Jun Ichi Yano

Research output: Contribution to journalArticlepeer-review

310 Scopus citations

Abstract

Stochastic parameterizations-empirically derived or based on rigorous mathematical and statistical concepts-have great potential to increase the predictive capability of next-generation weather and climate models.

Original languageEnglish
Pages (from-to)565-587
Number of pages23
JournalBulletin of the American Meteorological Society
Volume98
Issue number3
DOIs
StatePublished - Mar 2017
Externally publishedYes

Fingerprint

Dive into the research topics of 'Stochastic parameterization toward a new view of weather and climate models'. Together they form a unique fingerprint.

Cite this