Mitarbeitende

Carlo Albert

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Über mich

Head of the group Mathematical Methods in Environmental Research, at the  Department of Systems Analysis, Integrated Assessment and Modelling

Education

Ph.D. in Theoretical Physics, Dr. Phys. ETH

M.Sc. in Mathematics, Dipl. Math. ETH

Research

Modelling of environmental systems
I apply methods from statistical physics, nonlinear systems theory and statistics to detect and model predictable features of complex environmental systems. Of particular interest is a faithful quantification of uncertainty.

Development of algorithms

Quantifying the parametric uncertainty of a model that needs to be calibrated to data is a computationally hard problem, in particular, if the model is slow or stochastic. Statistical physics and non-equilibrium thermodynamics offer some great tools to make parameter inference with stochastic models more efficient. Mechanistic emulators are an efficient way of speeding up slow simulators and make them amenable to simulation-intense tasks such as parameter inference.

Publications    Google Scholar


Teaching     Summer School in Environmental Systems Analysis


Workshop  History of Solar Activity Recorded in Polar Ice

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Publikationen

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Bacci, M.; Sukys, J.; Reichert, P.; Ulzega, S.; Albert, C. (2023) A comparison of numerical approaches for statistical inference with stochastic models, Stochastic Environmental Research and Risk Assessment, 37(8), 3041-3061, doi:10.1007/s00477-023-02434-z, Institutional Repository
Ulzega, S.; Albert, C.; Perez-Cruz, F.; Ozdemir, F.; Mira, A. (2022) Learning summary statistics for Bayesian inference with autoencoders, SciPost Physics Core, 5(3), 043 (16 pp.), doi:10.21468/SciPostPhysCore.5.3.043, Institutional Repository
Albert, C.; Ferriz-Mas, A.; Gaia, F.; Ulzega, S. (2021) Can stochastic resonance explain recurrence of Grand Minima?, Astrophysical Journal Letters, 916(2), L9 (5 pp.), doi:10.3847/2041-8213/ac0fd6, Institutional Repository
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
Jager, T.; Albert, C.; Preuss, T. G.; Ashauer, R. (2011) General unified threshold model of survival - a toxicokinetic-toxicodynamic framework for ecotoxicology, Environmental Science and Technology, 45(7), 2529-2540, doi:10.1021/es103092a, Institutional Repository

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Dateien

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Adresse

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

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Experte für

Modellierung, Datenwissenschaft

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