TY - JOUR
T1 - Stochastic parameterization toward a new view of weather and climate models
AU - Berner, Judith
AU - Achatz, Ulrich
AU - Batté, Lauriane
AU - Bengtsson, Lisa
AU - De La Cámara, Alvaro
AU - Christensen, Hannah M.
AU - Colangeli, Matteo
AU - Coleman, Danielle R.B.
AU - Crommelin, Daaaan
AU - Dolaptchiev, Stamen I.
AU - Franzke, Christian L.E.
AU - Friederichs, Petra
AU - Imkeller, Peter
AU - Järvinen, Heikki
AU - Juricke, Stephan
AU - Kitsios, Vassili
AU - Lott, François
AU - Lucarini, Valerio
AU - Mahajaajaajan, Salil
AU - Palmer, Timothy N.
AU - Penland, Cécile
AU - Sakradzijaja, Mirjajana
AU - Von Storch, Jin Song
AU - Weisheimer, Antje
AU - Weniger, Michael
AU - Williams, Paul D.
AU - Yano, Jun Ichi
N1 - Publisher Copyright:
© 2017 American Meteorological Society.
PY - 2017/3
Y1 - 2017/3
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85016947268
U2 - 10.1175/BAMS-D-15-00268.1
DO - 10.1175/BAMS-D-15-00268.1
M3 - Article
AN - SCOPUS:85016947268
SN - 0003-0007
VL - 98
SP - 565
EP - 587
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 3
ER -