the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The PMIP4 contribution to CMIP6 – Part 3: The last millennium, scientific objective, and experimental design for the PMIP4 past1000 simulations
Johann H. Jungclaus
Edouard Bard
Mélanie Baroni
Pascale Braconnot
Jian Cao
Louise P. Chini
Tania Egorova
Michael Evans
J. Fidel González-Rouco
Hugues Goosse
George C. Hurtt
Fortunat Joos
Jed O. Kaplan
Myriam Khodri
Kees Klein Goldewijk
Natalie Krivova
Allegra N. LeGrande
Stephan J. Lorenz
Jürg Luterbacher
Wenmin Man
Amanda C. Maycock
Malte Meinshausen
Anders Moberg
Raimund Muscheler
Christoph Nehrbass-Ahles
Bette I. Otto-Bliesner
Steven J. Phipps
Julia Pongratz
Eugene Rozanov
Gavin A. Schmidt
Hauke Schmidt
Werner Schmutz
Andrew Schurer
Alexander I. Shapiro
Michael Sigl
Jason E. Smerdon
Sami K. Solanki
Claudia Timmreck
Matthew Toohey
Ilya G. Usoskin
Sebastian Wagner
Chi-Ju Wu
Kok Leng Yeo
Davide Zanchettin
Qiong Zhang
Eduardo Zorita
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Inaccuracies in air–sea heat fluxes severely degrade the accuracy of ocean numerical simulations. Here, we use artificial neural networks to correct air–sea heat fluxes as a function of oceanic and atmospheric state predictors. The correction successfully improves surface and subsurface ocean temperatures beyond the training period and in prediction experiments.
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