TY - JOUR
T1 - Challenges and opportunities for improved understanding of regional climate dynamics
AU - Collins, Matthew
AU - Minobe, Shoshiro
AU - Barreiro, Marcelo
AU - Bordoni, Simona
AU - Kaspi, Yohai
AU - Kuwano-Yoshida, Akira
AU - Keenlyside, Noel
AU - Manzini, Elisa
AU - O'Reilly, Christopher H.
AU - Sutton, Rowan
AU - Xie, Shang-Ping
AU - Zolina, Olga
N1 - We acknowledge the support of CLIVAR in setting up the Climate Dynamics Panel and their travel support for hosting panel meetings. M.C. and S.M. conceived the paper and also co-chair the CLIVAR Climate Dynamics Panel. All other authors contributed to the writing. C.O.R. produced Fig. 2 and M.C. acknowledges support from NERC NE/ N018486/1. N.K. acknowledges support from the ERC (grant 648982).
PY - 2018/2
Y1 - 2018/2
N2 - Dynamical processes in the atmosphere and ocean are central to determining the large-scale drivers of regional climate change, yet their predictive understanding is poor. Here, we identify three frontline challenges in climate dynamics where significant progress can be made to inform adaptation: response of storms, blocks and jet streams to external forcing; basin-to-basin and tropical-extratropical teleconnections; and the development of non-linear predictive theory. We highlight opportunities and techniques for making immediate progress in these areas, which critically involve the development of high-resolution coupled model simulations, partial coupling or pacemaker experiments, as well as the development and use of dynamical metrics and exploitation of hierarchies of models.
AB - Dynamical processes in the atmosphere and ocean are central to determining the large-scale drivers of regional climate change, yet their predictive understanding is poor. Here, we identify three frontline challenges in climate dynamics where significant progress can be made to inform adaptation: response of storms, blocks and jet streams to external forcing; basin-to-basin and tropical-extratropical teleconnections; and the development of non-linear predictive theory. We highlight opportunities and techniques for making immediate progress in these areas, which critically involve the development of high-resolution coupled model simulations, partial coupling or pacemaker experiments, as well as the development and use of dynamical metrics and exploitation of hierarchies of models.
UR - http://www.scopus.com/inward/record.url?scp=85041133302&partnerID=8YFLogxK
U2 - 10.1038/s41558-017-0059-8
DO - 10.1038/s41558-017-0059-8
M3 - مقالة
SN - 1758-678X
VL - 8
SP - 101
EP - 108
JO - Nature Climate Change
JF - Nature Climate Change
IS - 2
ER -