Collaborateurs

Carlo Albert

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Projets

Komplexe Systemtheorie trifft auf Phytoplankton “Big Data”.
Kalibrierung stochastischer Regen-Abflussmodelle mit Hilfe von Skalengesetzen für verbesserte Prognosen von Extremereignissen.

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Publications sélectionnées

Held, J.; Lorimer, T.; Pomati, F.; Stoop, R.; Albert, C. (2020) Second-order phase transition in phytoplankton trait dynamics, Chaos: An Interdisciplinary Journal of Nonlinear Science, 30(5), 053109 (9 pp.), doi:10.1063/1.5141755, Institutional Repository
Kavetski, D.; Fenicia, F.; Reichert, P.; Albert, C. (2018) Signature-domain calibration of hydrological models using Approximate Bayesian Computation: theory and comparison to existing applications, Water Resources Research, 54(6), 4059-4083, doi:10.1002/2017WR020528, Institutional Repository
Machac, D.; Reichert, P.; Rieckermann, J.; Del Giudice, D.; Albert, C. (2018) Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator, Environmental Modelling and Software, 109, 66-79, doi:10.1016/j.envsoft.2018.07.016, Institutional Repository
Albert, C.; Ulzega, S.; Stoop, R. (2016) Boosting Bayesian parameter inference of nonlinear stochastic differential equation models by Hamiltonian scale separation, Physical Review E, 93(4), 1-8, doi:10.1103/PhysRevE.93.043313, Institutional Repository
Del Giudice, D.; Albert, C.; Rieckermann, J.; Reichert, P. (2016) Describing the catchment-averaged precipitation as a stochastic process improves parameter and input estimation, Water Resources Research, 52(4), 3162-3186, doi:10.1002/2015WR017871, Institutional Repository
Albert, C.; Vogel, S.; Ashauer, R. (2016) Computationally efficient implementation of a novel algorithm for the General Unified Threshold model of Survival (GUTS), PLoS Computational Biology, 12(6), 1-19, doi:10.1371/journal.pcbi.1004978, Institutional Repository
Del Giudice, D.; Reichert, P.; Bareš, V.; Albert, C.; Rieckermann, J. (2015) Model bias and complexity - understanding the effects of structural deficits and input errors on runoff predictions, Environmental Modelling and Software, 64, 205-214, doi:10.1016/j.envsoft.2014.11.006, Institutional Repository
Albert, C.; Künsch, H. R.; Scheidegger, A. (2015) A simulated annealing approach to approximate Bayes computations, Statistics and Computing, 25(6), 1217-1232, doi:10.1007/s11222-014-9507-8, Institutional Repository
Albert, C. (2012) A mechanistic dynamic emulator, Nonlinear Analysis: Real World Applications, 13(6), 2747-2754, doi:10.1016/j.nonrwa.2012.04.003, Institutional Repository

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Adresse

E-Mail: carlo.albert@eawag.ch
Téléphone: +41 58 765 5244
Fax: +41 58 765 5802
Adresse: Eawag
Überlandstrasse 133
8600 Dübendorf
Bureau: FC D02

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Expert en

modélisation, science des données

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