neueste Paper

2019
Ge, F., S. Zhu, T. Peng,  Y. Zhao, F. Sielmann, X. Zhi, X. Liu, W. Tang, L. Ji, 2019: Risks of precipitation extremes over Southeast Asia: does 1.5 or 2 degrees global warming make a difference? Environ. Res. Lett., DOI: 10.1088/1748-9326/aaff7e

Gómez-Leal, Illeana, L. Kaltenegger, V. Lucarini, and F. Lunkeit, 2019: Climate sensitivity to ozone and its relevance on the habitability of Earth-like planets. Icarus, 321, 608-618. DOI: 10.1016/j.icarus.2018.11.019

Hu, G, T. Bodai, and V. Lucarini, 2019: Effects of stochastic parametrization on extreme value statistics. Chaos:An Interdisciplinary Journal of Nonlinear Science, 29(8), 083102. https://doi.org/10.1063/1.5095756

Kitsios, V., T.J. O’Kane and N. Žagar, 2019: A Reduced-Order Representation of the Madden-Julian Oscillation Based on Reanalyzed Normal Mode Coherences. J. Atmos. Sci., 76, 2463-2480, https://doi.org/10.1175/JAS-D-18-0197.1

Kosovelj, K., F. Kucharski, F. Molteni and N. Žagar, 2019: Modal decomposition of the global response to tropical heating perturbations resembling MJO. J. Atmos. Sci., 76, 1457-1469, https://doi.org/10.1175/JAS-D-18-0203.1

Lembo, V., G. Messori, R. Graversen, and V. Lucarini, 2019: Spectral decomposition and extremes of atmospheric meridional energy transport in the Northern Hemisphere midlatitudes. Geophysical Research Letters, 46. DOI: 10.1029/2019GL082105

Lembo, V., Lunkeit, F., and Lucarini, V., 2019: TheDiaTo (v1.0), a new diagnostic tool for water, energy and entropy budgets in climate models. Geosci. Model Dev., 12, 3805–3834, https://doi.org/10.5194/gmd-12-3805-2019.

Malačič, V. and N. Žagar, 2019: Seawater icicles of the Adriatic Sea. Bull. Amer. Meteor. Soc., 100, 987-994. http://dx.doi.org/10.1175/BAMS-D-18-0118.1

Matic Šavli, Jos de Kloe, Gert‐Jan Marseille, Michael Rennie, Nedjeljka Žagar and Nils Wedi, 2019: The prospects for increasing the horizontal resolution of the Aeolus horizontal line‐of‐sight wind profiles. Q J R Meteorol Soc. 2019; 1– 17. https://doi.org/10.1002/qj.3634

Žagar, N., Kosovelj, K., Manzini, E., Horvat, M. and J. Castanheira, 2019: An assessment of scale-dependent variability and bias in global prediction models. Clim Dyn, https://doi.org/10.1007/s00382-019-05001-x