Items where Division is "Centre for the Mathematics of Planet Earth (CMPE)"

Reading Faculties, Schools and Departments (54)
- Interdisciplinary Research Centres (IDRCs) (54)
  - Centre for the Mathematics of Planet Earth (CMPE) (54)

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Number of items at this level: 54.

2022

Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471, Serdukova, L. and Margazoglou, G. (2022) Lévy-noise versus Gaussian-noise-induced transitions in the Ghil-Sellers energy balance model. Nonlinear Processes in Geophysics. ISSN 1023-5809 (In Press)

Maiocchi, C. C., Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 and Gritsun, A. (2022) Decomposing the dynamics of the Lorenz 1963 model using unstable periodic orbits: averages, transitions, and quasi-invariant sets. Chaos: An Interdisciplinary Journal of Nonlinear Science, 32. 033129. ISSN 1089-7682 doi: https://doi.org/10.1063/5.0067673

Ragon, C., Lembo, V., Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471, Verard, C., Kasparian, J. and Brunetti, M. (2022) Robustness of competing climatic states. Journal of Climate. ISSN 1520-0442 doi: https://doi.org/10.1175/JCLI-D-21-0148.1

2021

Bröcker, J. (2021) Existence and uniqueness for variational data assimilation in continuous time. Mathematical Control & Related Fields. ISSN 2156-8472 doi: https://doi.org/10.3934/mcrf.2021050

Bröcker, J. (2021) Testing the reliability of forecasting systems. Journal of Applied Statistics. ISSN 1360-0532 doi: https://doi.org/10.1080/02664763.2021.1981833

Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937, Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600 and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2021) Inferring the instability of a dynamical system from the skill of data assimilation exercises. Nonlinear Processes in Geophysics, 28 (4). pp. 633-649. ISSN 1023-5809 doi: https://doi.org/10.5194/npg-28-633-2021

Faranda, D., Alberti, T., Arutkin, M., Lembo, V. and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2021) Interrupting vaccination policies can greatly spread SARS-CoV-2 and enhance mortality from COVID-19 disease: the AstraZeneca case for France and Italy. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 (4). 041105. ISSN 1089-7682 doi: https://doi.org/10.1063/5.0050887

Galfi, V. M., Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471, Ragone, F. and Wouters, J. (2021) Applications of large deviation theory in geophysical fluid dynamics and climate science. Rivista del Nuovo Cimento. ISSN 1826-9850

Gelbrecht, M., Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471, Boers, N. and Kurths, J. (2021) Analysis of a bistable climate toy model with physics-based machine learning methods. The European Physical Journal Special Topics. ISSN 1951-6355 doi: https://doi.org/10.1140/epjs/s11734-021-00175-0

Hussein, M., Law, C. ORCID: https://orcid.org/0000-0003-0686-1998 and Fraser, I. (2021) An analysis of food demand in a fragile and insecure country: Somalia as a case study. Food Policy, 101. 102092. ISSN 0306-9192 doi: https://doi.org/10.1016/j.foodpol.2021.102092

Margazoglou, G., Grafke, T., Laio, A. and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2021) Dynamical landscape and multistability of a climate model. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 477 (2250). ISSN 1364-5021 doi: https://doi.org/10.1098/rspa.2021.0019

Recchia, L. G. ORCID: https://orcid.org/0000-0002-5907-9468, Griffiths, S. D. and Parker, D. J. (2021) Controls on propagation of the Indian monsoon onset in an idealised model. Quarterly Journal of the Royal Meteorological Society. ISSN 1477-870X doi: https://doi.org/10.1002/qj.4165

Santos Gutiérrez, M. ORCID: https://orcid.org/0000-0001-8617-2804, Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471, Chekroun, M. D. ORCID: https://orcid.org/0000-0002-4525-5141 and Ghil, M. ORCID: https://orcid.org/0000-0001-5177-7133 (2021) Reduced-order models for coupled dynamical systems: data-driven methods and the Koopman operator. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 (5). 053116. ISSN 1089-7682 doi: https://doi.org/10.1063/5.0039496

Tomasini, U. M. and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2021) Predictors and predictands of linear response in spatially extended systems. European Physical Journal Special Topics. ISSN 1951-6355 doi: https://doi.org/10.1140/epjs/s11734-021-00158-1

Zagli, N. ORCID: https://orcid.org/0000-0003-4509-1615, Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 and Pavliotis, G. A. ORCID: https://orcid.org/0000-0002-3468-9227 (2021) Spectroscopy of phase transitions for multiagent systems. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 (6). 061103. ISSN 1089-7682 doi: https://doi.org/10.1063/5.0053558

2020

Bodai, T., Drótos, G., Herein, M., Lunkeit, F. and Lucarini, V. (2020) The forced response of the El Niño–Southern Oscillation-Indian monsoon teleconnection in ensembles of Earth System Models. Journal of Climate, 33. pp. 2163-2182. ISSN 1520-0442 doi: https://doi.org/10.1175/JCLI-D-19-0341.1

Bódai, T., Lucarini, V. and Lunkeit, F. (2020) Can we use linear response theory to assess geoengineering strategies? Chaos: An Interdisciplinary Journal of Nonlinear Science, 30 (2). 023124. ISSN 1089-7682 doi: https://doi.org/10.1063/1.5122255

Eyring, V., Bock, L., Lauer, A., Righi, M., Schlund, M., Andela, B., Arnone, E., Bellprat, O., Brötz, B., Caron, L.-P., Carvalhais, N., Cionni, I., Cortesi, N., Crezee, B., Davin, E., Davini, P., Debeire, K., de Mora, L., Deser, C., Docquier, D., Earnshaw, P., Ehbrecht, C., Gier, B. K., Gonzalez-Reviriego, N., Goodman, P., Hagemann, S., Hardiman, S., Hassler, B., Hunter, A., Kadow, C., Kindermann, S., Koirala, S., Koldunov, N. V., Lejeune, Q., Lembo, V., Lovato, T., Lucarini, V., Massonnet, F., Müller, B., Pandde, A., Pérez-Zanón, N., Phillips, A., Predoi, V., Russell, J., Sellar, A., Serva, F., Stacke, T., Swaminathan, R., Torralba, V., Vegas-Regidor, J., von Hardenberg, J., Weigel, K. and Zimmermann, K. (2020) Earth System Model Evaluation Tool (ESMValTool) v2.0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP. Geoscientific Model Development Discussions, 13 (7). pp. 3383-3438. ISSN 1991-962X doi: https://doi.org/10.5194/gmd-13-3383-2020

Ghil, M. and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2020) The physics of climate variability and climate change. Reviews of Modern Physics, 92 (3). 035002. ISSN 0034-6861 doi: https://doi.org/10.1103/RevModPhys.92.035002

Lembo, V., Lucarini, V. and Ragone, F. (2020) Beyond forcing scenarios: predicting climate change through response operators in a coupled general circulation model. Scientific Reports, 10 (1). 8668. ISSN 2045-2322 doi: https://doi.org/10.1038/s41598-020-65297-2

Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2020) Introduction to the special issue on the statistical mechanics of climate. Journal of Statistical Physics, 179 (5-6). Springer. doi: https://doi.org/10.1007/s10955-020-02605-0

Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 and Bodai, T. (2020) Global stability properties of the climate: melancholia states, invariant measures, and phase transitions. Nonlinearity, 33 (9). R59-R92. ISSN 1361-6544 doi: https://doi.org/10.1088/1361-6544/ab86cc

Lucarini, V. and Gritsun, A. (2020) A new mathematical framework for atmospheric blocking events. Climate Dynamics, 54 (1-2). pp. 575-598. ISSN 0930-7575 doi: https://doi.org/10.1007/s00382-019-05018-2

Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471, Pavliotis, G. A. and Zagli, N. (2020) Response theory and phase transitions for the thermodynamic limit of interacting identical systems. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. ISSN 1364-5021 doi: https://doi.org/10.1098/rspa.2020.0688

Ruti, P., Tarasova, O., Keller, J., Carmichael, G., Hov, Ø., Jones, S., Terblanche, D., Anderson-Lefale, C., Barros, A., Bauer, P., Bouchet, V., Brasseur, G., Brunet, G., DeCola, P., Dike, V., Kane, M. D., Gan, C., Gurney, K., Hamburg, S., Hazeleger, W., Jean, M., Johnston, D., Lewis, A., Li, P., Liang, X., Lucarini, V., Lynch, A., Manaenkova, E., Jae-Cheol, N., Ohtake, S., Pinardi, N., Polcher, J., Ritchie, E., Sakya, A. E., Saulo, C., Singhee, A., Sopaheluwakan, A., Steiner, A., Thorpe, A. and Yamaji, M. (2020) Advancing research for seamless Earth system prediction. Bulletin of the American Meteorological Society, 101 (1). E23-E35. ISSN 1520-0477 doi: https://doi.org/10.1175/bams-d-17-0302.1

Santos Gutierrez, M. and Lucarini, V. (2020) Response and sensitivity using markov chains. Journal of Statistical Physics, 179 (5-6). pp. 1572-1593. ISSN 0022-4715 doi: https://doi.org/10.1007/s10955-020-02504-4

Vissio, G. and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2020) Mechanics and thermodynamics of a new minimal model of the atmosphere. The European Physical Journal Plus, 135 (10). 807. ISSN 2190-5444 doi: https://doi.org/10.1140/epjp/s13360-020-00814-w

Vissio, G., Lembo, V., Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 and Ghil, M. (2020) Evaluating the performance of climate models based on Wasserstein distance. Geophysical Research Letters, 47 (21). e2020GL089385. ISSN 0094-8276 doi: https://doi.org/10.1029/2020GL089385

2019

Boschi, R. and Lucarini, V. (2019) Water pathways for the Hindu-Kush-Himalaya and analysis of three flood events. Atmosphere, 10 (9). 489. ISSN 2073-4433 doi: https://doi.org/10.3390/atmos10090489

Carlu, M., Ginelli, F., Lucarini, V. and Politi, A. (2019) Lyapunov analysis of multiscale dynamics: the slow bundle of the two-scale Lorenz 96 model. Nonlinear Processes in Geophysics, 26 (2). pp. 73-89. doi: https://doi.org/10.5194/npg-26-73-2019

Galfi, V. M., Lucarini, V. and Wouters, J. (2019) A large deviation theory-based analysis of heat waves and cold spells in a simplified model of the general circulation of the atmosphere. Journal of Statistical Mechanics: Theory and Experiment. 033404. ISSN 1742-5468 doi: https://doi.org/10.1088/1742-5468/ab02e8

Gómez-Leal, I., Kaltenegger, L., Lucarini, V. and Lunkeit, F. (2019) Climate sensitivity to ozone and its relevance on the habitability of Earth-like planets. Icarus, 321. pp. 608-618. ISSN 0019-1035 doi: https://doi.org/10.1016/j.icarus.2018.11.019

Hu, G., Bodai, T. and Lucarini, V. (2019) Effects of stochastic parametrization on extreme value statistics. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29 (8). 083102. ISSN 1089-7682 doi: https://doi.org/10.1063/1.5095756

Lembo, V., Lunkeit, F. and Lucarini, V. (2019) TheDiaTo (v1.0) – a new diagnostic tool for water, energy and entropy budgets in climate models. Geoscientific Model Development, 12 (8). pp. 3805-3834. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-12-3805-2019

Lembo, V., Messori, G., Graversen, R. and Lucarini, V. (2019) Spectral decomposition and extremes of atmospheric meridional energy transport in the Northern Hemisphere midlatitudes. Geophysical Research Letters. ISSN 0094-8276 doi: https://doi.org/10.1029/2019GL082105

Lucarini, V. (2019) Stochastic resonance for nonequilibrium systems. Physical Review E, 100 (6). 062124. ISSN 2470-0045 doi: https://doi.org/10.1103/PhysRevE.100.062124

Lucarini, V. and Bódai, T. (2019) Transitions across Melancholia States in a climate model: reconciling the deterministic and stochastic points of view. Physical Review Letters, 122 (15). 158701. ISSN 1079-7114 doi: https://doi.org/10.1103/PhysRevLett.122.158701

2018

Biferale, L., Cencini, M., De Pietro, M., Gallavotti, G. and Lucarini, V. (2018) Equivalence of nonequilibrium ensembles in turbulence models. Physical Review E, 98 (1). 012202. ISSN 2470-0053 doi: https://doi.org/10.1103/PhysRevE.98.012202

De Cruz, L., Schubert, S., Demaeyer, J., Lucarini, V. and Vannitsem, S. (2018) Exploring the Lyapunov instability properties of high-dimensional atmospheric and climate models. Nonlinear Processes in Geophysics, 25 (2). pp. 387-412. ISSN 1607-7946 doi: https://doi.org/10.5194/npg-25-387-2018

Gomez-Leal, I., Kaltenegger, L., Lucarini, V. and Lunkeit, F. (2018) Climate sensitivity to carbon dioxide and moist greenhouse threshold of earth-like planets under an increasing solar forcing. The Astrophysical Journal, 869 (2). 129. ISSN 0004-637X doi: https://doi.org/10.3847/1538-4357/aaea5f

Lucarini, V. (2018) Revising and extending the linear response theory for statistical mechanical systems: evaluating observables as predictors and predictands. Journal of Statistical Physics, 173 (6). pp. 1698-1721. ISSN 0022-4715 doi: https://doi.org/10.1007/s10955-018-2151-5

Tantet, A., Lucarini, V. and Dijkstra, H. A. (2018) Resonances in a chaotic attractor crisis of the Lorenz Flow. Journal of Statistical Physics, 170 (3). pp. 584-616. ISSN 0022-4715 doi: https://doi.org/10.1007/s10955-017-1938-0

Tantet, A., Lucarini, V., Lunkeit, F. and Dijkstra, H. A. (2018) Crisis of the chaotic attractor of a climate model: a transfer operator approach. Nonlinearity, 31 (5). 2221. ISSN 1361-6544 doi: https://doi.org/10.1088/1361-6544/aaaf42

Vissio, G. and Lucarini, V. (2018) Evaluating a stochastic parametrization for a fast--slow system using the Wasserstein distance. Nonlinear Processes in Geophysics, 25 (2). pp. 413-427. ISSN 1023-5809 doi: https://doi.org/10.5194/npg-25-413-2018

Vissio, G. and Lucarini, V. (2018) A proof of concept for scale-adaptive parameterizations: the case of the Lorenz ’96 model. Quarterly Journal of the Royal Meteorological Society, 144 (710). pp. 63-75. ISSN 1477-870X doi: https://doi.org/10.1002/qj.3184

2017

Baladi, V., Kuna, T. and Lucarini, V. (2017) Linear and fractional response for the SRB measure of smooth hyperbolic attractors and discontinuous observables. Nonlinearity, 30 (3). 1204. ISSN 1361-6544 doi: https://doi.org/10.1088/1361-6544/aa5b13

Berner, J., Achatz, U., Batte, L., Bengtsson, L., De La Camara, A., Christensen, H. M., Colangeli, M., Coleman, D. R. B., Crommelin, D., Dolaptchiev, S. I., Franzke, C. L. E., Friederichs, P., Imkeller, P., Jarvinen, H., Juricke, S., Kitsios, V., Lott, F., Lucarini, V., Mahajan, S., Palmer, T. N., Penland, C., Sakradzija, M., Von Storch, J.-S., Weisheimer, A., Weniger, M., Williams, P. D. and Yano, J.-I. (2017) Stochastic parameterization: towards a new view of weather and climate models. Bulletin of the American Meteorological Society, 98 (3). pp. 565-588. ISSN 1520-0477 doi: https://doi.org/10.1175/BAMS-D-15-00268.1