@misc{morim_robustness_and_2019, 
author={Morim, J.,Hemer, M.,Wang, X.,Cartwright, N.,Trenham, C.,Semedo, A.,Young, I.,Bricheno, L.,Camus, P.,Casas-Prat, M.,Erikson, L.,Mentaschi, L.,Mori, N.,Shimura, T.,Timmermans, B.,Aarnes, O.,Breivik, Ø.,Behrens, A.,Dobrynin, M.,Menendez, M.,Staneva, J.,Wehner, M.,Wolf, J.,Kamranzad, B.,Webb, A.,Stopa, J.,Andutta, F.},
title={Robustness and uncertainties in global multivariate wind-wave climate projections},
year={2019},
howpublished = {journal article},
doi = {https://doi.org/10.1038/s41558-019-0542-5},
abstract = {Understanding climate-driven impacts on the multivariate global wind-wave climate is paramount to effective offshore/coastal climate adaptation planning. However, the use of single-method ensembles and variations arising from different methodologies has resulted in unquantified uncertainty amongst existing global wave climate projections. Here, assessing the first coherent, community-driven, multi-method ensemble of global wave climate projections, we demonstrate widespread ocean regions with robust changes in annual mean significant wave height and mean wave period of 5–15% and shifts in mean wave direction of 5–15°, under a high-emission scenario. Approximately 50% of the world’s coastline is at risk from wave climate change, with ~40% revealing robust changes in at least two variables. Furthermore, we find that uncertainty in current projections is dominated by climate model-driven uncertainty, and that single-method modelling studies are unable to capture up to ~50% of the total associated uncertainty.},
note = {Online available at: \url{https://doi.org/10.1038/s41558-019-0542-5} (DOI). Morim, J.; Hemer, M.; Wang, X.; Cartwright, N.; Trenham, C.; Semedo, A.; Young, I.; Bricheno, L.; Camus, P.; Casas-Prat, M.; Erikson, L.; Mentaschi, L.; Mori, N.; Shimura, T.; Timmermans, B.; Aarnes, O.; Breivik, Ø.; Behrens, A.; Dobrynin, M.; Menendez, M.; Staneva, J.; Wehner, M.; Wolf, J.; Kamranzad, B.; Webb, A.; Stopa, J.; Andutta, F.: Robustness and uncertainties in global multivariate wind-wave climate projections. Nature Climate Change. 2019. vol. 9, 711-718. DOI: 10.1038/s41558-019-0542-5}}