article published yes Simone Fatichi author cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6 Valeriy Y. Ivanov author Athanasios Paschalis author Nadav Peleg author Peter Molnar author Stefan Rimkus author Jongho Kim author Paolo Burlando author Enrica Caporali author Decision makers and consultants are particularly interested in “detailed” information on future climate to prepare adaptation strategies and adjust design criteria. Projections of future climate at local spatial scales and fine temporal resolutions are subject to the same uncertainties as those at the global scale but the partition among uncertainty sources (emission scenarios, climate models, and internal climate variability) remains largely unquantified. At the local scale, the uncertainty of the mean and extremes of precipitation is shown to be irreducible for mid and end-of-century projections because it is almost entirely caused by internal climate variability (stochasticity). Conversely, projected changes in mean air temperature and other meteorological variables can be largely constrained, even at local scales, if more accurate emission scenarios can be developed. The results were obtained by applying a comprehensive stochastic downscaling technique to climate model outputs for three exemplary locations. In contrast with earlier studies, the three sources of uncertainty are considered as dependent and, therefore, non-additive. The evidence of the predominant role of internal climate variability leaves little room for uncertainty reduction in precipitation projections; however, the inference is not necessarily negative, because the uncertainty of historic observations is almost as large as that for future projections with direct implications for climate change adaptation measures. American Geophysical Union2016 eng 2328-427710.1002/2015ef000336 45240-251 yes Fatichi, Simone, et al. “Uncertainty Partition Challenges the Predictability of Vital Details of Climate Change.” <i>Earth’s Future</i>, vol. 4, no. 5, American Geophysical Union, 2016, pp. 240–51, doi:<a href="https://doi.org/10.1002/2015ef000336">10.1002/2015ef000336</a>. Fatichi, Simone, Valeriy Y. Ivanov, Athanasios Paschalis, Nadav Peleg, Peter Molnar, Stefan Rimkus, Jongho Kim, Paolo Burlando, and Enrica Caporali. “Uncertainty Partition Challenges the Predictability of Vital Details of Climate Change.” <i>Earth’s Future</i>. American Geophysical Union, 2016. <a href="https://doi.org/10.1002/2015ef000336">https://doi.org/10.1002/2015ef000336</a>. Fatichi S, Ivanov VY, Paschalis A, Peleg N, Molnar P, Rimkus S, Kim J, Burlando P, Caporali E. 2016. Uncertainty partition challenges the predictability of vital details of climate change. Earth’s Future. 4(5), 240–251. S. Fatichi, V.Y. Ivanov, A. Paschalis, N. Peleg, P. Molnar, S. Rimkus, J. Kim, P. Burlando, E. Caporali, Earth’s Future 4 (2016) 240–251. S. Fatichi <i>et al.</i>, “Uncertainty partition challenges the predictability of vital details of climate change,” <i>Earth’s Future</i>, vol. 4, no. 5. American Geophysical Union, pp. 240–251, 2016. Fatichi, S., Ivanov, V. Y., Paschalis, A., Peleg, N., Molnar, P., Rimkus, S., … Caporali, E. (2016). Uncertainty partition challenges the predictability of vital details of climate change. <i>Earth’s Future</i>. American Geophysical Union. <a href="https://doi.org/10.1002/2015ef000336">https://doi.org/10.1002/2015ef000336</a> Fatichi S, Ivanov VY, Paschalis A, et al. Uncertainty partition challenges the predictability of vital details of climate change. <i>Earth’s Future</i>. 2016;4(5):240-251. doi:<a href="https://doi.org/10.1002/2015ef000336">10.1002/2015ef000336</a> 224362026-07-27T12:30:23Z2026-08-11T06:54:30Z