TY - JOUR
T1 - New vigour involving statisticians to overcome ensemble fatigue
AU - Benestad, Rasmus
AU - Sillmann, Jana
AU - Thorarinsdottir, Thordis Linda
AU - Guttorp, Peter
AU - Mesquita, Michel D.S.
AU - Tye, Mari R.
AU - Uotila, Petteri
AU - Maule, Cathrine Fox
AU - Thejll, Peter
AU - Drews, Martin
AU - Parding, Kajsa M.
N1 - Publisher Copyright:
© 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
PY - 2017/9/29
Y1 - 2017/9/29
N2 - Climate simulation data comprise a range of different phenomena with complex and interacting processes. Yet our understanding of the climate is incomplete despite the huge volumes of data, of which only a small fraction has been explored, and many questions remain, particularly those on the character and origin of uncertainties associated with model simulations and how further modelling efforts can improve understanding. Here, we question whether climate model information could be used more effectively and how so-called 'ensembles of opportunity' should be interpreted. Statisticians can contribute substantially to designing 'smarter' ensemble experiments, improving the distillation of information from ensembles, and helping interpret the relative merits of additional simulations. Future progress may be enhanced by increasing collaborations with statisticians.
AB - Climate simulation data comprise a range of different phenomena with complex and interacting processes. Yet our understanding of the climate is incomplete despite the huge volumes of data, of which only a small fraction has been explored, and many questions remain, particularly those on the character and origin of uncertainties associated with model simulations and how further modelling efforts can improve understanding. Here, we question whether climate model information could be used more effectively and how so-called 'ensembles of opportunity' should be interpreted. Statisticians can contribute substantially to designing 'smarter' ensemble experiments, improving the distillation of information from ensembles, and helping interpret the relative merits of additional simulations. Future progress may be enhanced by increasing collaborations with statisticians.
UR - https://www.scopus.com/pages/publications/85032578408
U2 - 10.1038/nclimate3393
DO - 10.1038/nclimate3393
M3 - Review article
AN - SCOPUS:85032578408
SN - 1758-678X
VL - 7
SP - 697
EP - 703
JO - Nature Climate Change
JF - Nature Climate Change
IS - 10
ER -