Staff

Carlo Albert

Dr. Carlo Albert

Department Systems Analysis, Integrated Assessment and Modelling

About Me

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.


Bayesian Data Science
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.


Courses   Summer School in Environmental Systems Analysis

[[ element.title ]]

Projects

Complex systems theory meets big phytoplankton trait data.
Calibrating stochastic rainfall-runoff models to scaling laws, for improved predictions of extreme events.

[[ element.title ]]

[[ element.title ]]

Selected publications

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

[[ element.title ]]

[[ element.title ]]

Address

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

[[ element.title ]]

[[ element.title ]]

Expert of

modeling, data science

[[ element.title ]]

[[ element.title ]]

[[ element.title ]]