Curriculum Vitæ of Luca Bonaventura
Summary of biographical information:
• Full name: Luca Bonaventura
• Languages spoken: Italian (native), English (C2), Spanish (C2), German (C1)
• Address: Department of Mathematics, Politecnico di Milano, Piazza Leonardo da Vinci
32, 20133, Milano, Italy
• Tel: 0039-02-23994600, Fax: 0039-02-23994606 , E-mail: [email protected]
• Main areas of research activity: Numerical methods for numerical weather prediction and
other geophysical fluid dynamics applications, Discontinuous Galerkin methods
• Other research interests: Large Eddy Simulation, numerical methods for Ordinary Dif-
ferential Equations, numerical methods for multiphase flows, numerical methods for river
hydraulics and sediment transport, computational electromagnetism.
• Education:
– 1997: Marie Curie Postdoctoral Fellow for numerical modelling,
GKSS Forschungszentrum, Geesthacht, Germany
– 1994: PhD in Mathematics, University of Trento, Trento, Italy
– 1994: Meteorological Seminar, ECMWF, Reading, UK
– 1992-3: Visiting PhD Student, Courant Institute, New York, USA
– 1989: Degree cum laude in Mathematics, University La Sapienza, Rome, Italy
• Awards:
– 2017: Habilitation as Full Professor of Numerical Analysis by the Italian Ministry of
Education and Research
– 2016: European Meteorological Society Young Scientist Award 2016 awarded to Gio-
vanni Tumolo, for the co-authored publication: A semi-implicit, semi-Lagrangian dis-
continuous Galerkin framework for adaptive numerical weather prediction, G. Tumolo,
L. Bonaventura, Quarterly Journal of the Royal Meteorological Society, 141:2582-
2601, 2015
• Positions:
– 2015-present: Associate Professor of Numerical Analysis,
Politecnico di Milano, Milano, Italy
– 2005-15: Assistant Professor of Numerical Analysis,
Politecnico di Milano, Milano, Italy
– 2002-2005: Scientist, Max Planck Institute for Meteorology, Hamburg, Germany
– 1995-2002: Assistant Professor of Mathematical Analysis and Probability,
University of Trento, Trento, Italy
Outline of research activity
My research activity has spanned a wide range of topics in computational mathematics,
also covering topics in mathematical physics, river hydraulics, environmental modelling and
geostatistics, but with special focus on innovative and non conventional methods for the space
and time discretization of partial differential equations that constitute mathematical models of
environmental flows. In particular, my activity has been devoted to a great extent to developing
efficient methods for numerical weather prediction, in collaboration with some of the leading
world research institutions in this area.
My original background was in mathematical physics and stochastic processes. Research
work on the theoretical analysis of Monte Carlo methods based on interacting particle systems
was presented in [10], while several Monte Carlo approaches for climate simulation were pro-
posed in [57]. A Bayesian geostatistical method was proposed in [30]. A statistical downscaling
procedure was proposed in [37] and several geostatistical analyses have been developed with my
contribution in non peer reviewed publications.
My first significant contribution to the literature on computational methods for numerical
weather prediction was presented in [11]. This paper, whose research was supported by an
individual TMR - Marie Curie grant hosted by the German research center GKSS Geesthacht,
belonging to the Helmholtz Gesellschaft, represented the first successful attempt to use height
based coordinate models for the numerical simulations of flows over orography.
In [39] is a contribution to the analysis of a key issue in numerical models for environmental
fluid dynamics, namely the consistency between the discretizations of the continuity equation and
the equations modelling the transport of chemical species. The proof that a discrete maximum
principle can only be achieved if this consistency is guaranteed has been widely cited in the
literature on numerical models for environmental fluid dynamics. Also based on the research
presented in this paper, this consistency property is now regarded as one of the distinctive
feature of modern models for environmental fluid dynamics.
The main scientific results produced during my three year period as a scientist of the Max
Planck Institute for Meteorology and coordinator of the numerical methods development for the
ICON project are reported in [24]. This paper presents a mimetic finite difference discretization
of the shallow water equations on a rotating sphere, which allows to preserve potential enstrophy.
The application of the same technique in the framework of a full three-dimensional model is
reported in the paper [58], which documents one of the versions of the official ICON model,
employed by the German Weather Forecasting Service and by the Max Planck Institute for
Meteorology for weather prediction and climate simulations.
During my employment at Politecnico di Milano, first as research assistant and later as
associate professor, I have started a research project focused on improving the efficiency of
Discontinuous Galerkin discretizations through the systematic application of non conventional
semi-implicit and/or semi-Lagrangian time discretizations, combined with dynamical degree
adaptation techniques. In [45], the first mass conservative DG semi-Lagrangian ever presented
in the literature was introduced, a discrete maximum principle of its low order version was proven
and a novel monotonization approach was introduced, which was shown to improve substantially
standard monotonization techniques. The semi-Lagrangian discretization also allowed to achieve
high accuracy with large values of the Courant number at reduced computational cost. In [56],
it was shown for the first time that semi-Lagrangian and semi-implicit approaches could be
employed successfully in a p−adaptive DG framework. In [55], a numerical model based on
this concept was validated successfully for the first time on the full set of standard benchmarks
for idealized numerical weather prediction, showing the remarkable computational gains that
2
are feasible with this novel technique and achieving full second order accuracy in time via a
semi-Lagrangian version of a specific Diagonally Implicit Runge Kutta method. My co-author
was awarded the European Meteorological Society Young Scientist Award in 2016 for this paper.
The same method was chosen by the European Center for Medium Range Weather Forecasts
(ECMWF) as the core technique for the development of exascale demonstration software within
the ESCAPE-2 H2020 FET project. Other papers related to my research activity in numerical
models for applications to weather prediction are [14], [53],[52], [21], [15], [46], [18] and the
review book [23]. The paper [9] is devoted to the perspective for application of fault tolerant
methods and resiliency approaches to numerical weather prediction. I have also been active
in developing mathematical analyses and numerical methods for models of estuarine flows and
other river hydraulics models, the results being presented in the papers [40], [26], [49], [47], [31],
[20], [34], [48], [35], [16], [6], [36].
In a related development, modal DG techniques were used in a Variational Multi Scale frame-
work in order to increase the efficiency of the Large Eddy Simulation approach. In particular, in
[2] it was shown that, contrary to the implicit assumption in mainstream VMS approaches, the
use of sophisticated dynamical subgrid scale models is beneficial for the quality of the results.
In [54], a novel physically based p−refinement criterion was introduced and validated in a static
refinement context, showing its superior performance with respect to more conventional refine-
ment criteria. In [3], the same criterion was applied in producing one of the first dynamically
adaptive LES simulations ever realised, in which the p−adaptation concepts developed in the
candidate’s research project were shown to be able to reduce substantially the computational
cost of parallel simulations of turbulent flows.
I have then contributed in [32] to the analysis of one of the most widely used time discretiza-
tion methods for structural mechanics and seismic engineering. In this paper, it was shown how
to express all the generally unrelated dissipation parameters of the method as a function of a
unique parameter representing the rate of dissipation of the highest frequency oscillations in the
simulated system, thus allowing to use the technique in a most straightforward way in practical
applications. This paper is my most cited publication. A more recent contribution on numerical
methods for structural mechanics is [22].
Another important research direction I have pursued in recent years concerns non conven-
tional methods for the time discretization of partial differential equations. In particular, in [17]
I have contributed to the development of the first semi-Lagrangian treatment of diffusion equa-
tions in divergence form. This technique allows to achieve unconditional stability for the time
discretization of equations with parabolic terms using an explicit approach that does not require
the solution of large linear systems and that can be coupled naturally to modified methods of
characteristics to treat advection diffusion equation in a stable, accurate and efficient way. Ex-
tensions of this work have been presented in [18], [12]. In [33], the first systematic comparison
of the performance of exponential integrators and of more conventional implicit time discretiza-
tion methods was carried out, using as benchmark a spectral discretization of incompressible
rotating flow in a spherical shell. The results presented in this paper show that standard Krylov
based techniques for the computation of the matrix exponential in large scale problems are not
sufficient to yield superior efficiency with respect to standard implicit methods in the fully non-
linear regime. In [25], an unconditionally monotonic extension of a specific Diagonally Implicit
Runge Kutta method was introduced, analyzed and validated. Finally, implicit multirate meth-
ods were studied in [13], [29], with special focus on their application to the time discretization
of hyperbolic partial differential equations. In particular, the first general analysis of implicit
multirate methods based on one-step, multistage solvers was presented in [13], while the first
fully conservative multirate method for nonlinear conservation laws was introduced in [29].
3
I have also proposed numerical methods for the incompressible Navies-Stokes equations [1],
[19], numerical methods for multiphase pyroclastic flows arising in volcanology [27], [28], numer-
ical methods for distributed population modelling, with applications to lacustrine and oceanic
species [41], [42] and in particular to the migration of eels from the Caribbean to Europe [43],
Large Eddy Simulation approaches for variable density flows [38], [4], [5], spectral numerical
methods for semi-infinite domains and their coupling to more standard techniques on neigh-
bouring finite domains [7], [8].
In recent years, I have also started a line of research in computational electromagnetism,
investigating both space and time discretization methods in [51], [50], with the aim of improving
the simulation technique currently employed in hadronic accelerators [44], in collaboration with
the Commissariat a l’Energie Atomique et aux Energies Alternatives (CEA).
References
[1] A. Abba and L. Bonaventura. A vorticity preserving finite difference discretization for the
incompressible Navier-Stokes equations. International Journal of Numerical Methods in
Fluids, 56:1101–1106, 2008.
[2] A. Abba, L. Bonaventura, M. Nini, and M. Restelli. Dynamic models for Large Eddy
Simulation of compressible flows with a high order DG method. Computers & Fluids,
122:209–222, 2015.
[3] A. Abba, L. Bonaventura, A. Recanati, and M. Tugnoli. Dinamically p−adaptivity for LES
of compressible flows in a high order DG framework. Journal of Computational Physics,
420:109720, 2020.
[4] C. Bassi, A. Abba, L. Bonaventura, and L. Valdettaro. Simulation of gravity currents
with a high order DG method. Communications in Applied and Industrial Mathematics,
8:128–148, 2017.
[5] C. Bassi, A. Abba, L. Bonaventura, and L. Valdettaro. Large Eddy Simulation of non-
Boussinesq gravity currents with a DG method. Theoretical and Computational Fluid Dy-
namics, 34:231–247, 2020.
[6] C. Bassi, L. Bonaventura, S. Busto, and M. Dumbser. A hyperbolic reformulation of
the Serre-Green-Naghdi model for general bottom topographies. Computers & Fluids,
212:104716, 2020.
[7] T. Benacchio and L. Bonaventura. Absorbing boundary conditions: a spectral collocation
approach. International Journal of Numerical Methods in Fluids, 72:913–936, 2013.
[8] T. Benacchio and L. Bonaventura. An extension of DG methods for hyperbolic problems to
one-dimensional semi-infinite domains. Applied Mathematics and Computation, 350:266–
282, 2019.
[9] T. Benacchio, L. Bonaventura, M. Altenbernd, C. D. Cantwell, P. D. Duben, M. Gillard,
L. Giraud, D. Goddeke, E. Raffin, K. Teranishi, and N. Wedi. Resilience and fault-tolerance
in high-performance computing for numerical weather and climate prediction. The Inter-
national Journal of High Performance Computing Applications, 2021.
[10] L. Bonaventura. Interface evolution in an interacting spin system. Journal of Nonlinear
Analysis, Theory Methods and Applications, 25:799–819, 1995.
4
[11] L. Bonaventura. A semi-implicit, semi-Lagrangian scheme using the height coordinate for
a nonhydrostatic and fully elastic model of atmospheric flows. Journal of Computational
Physics, 158:186–213, 2000.
[12] L. Bonaventura, E. Calzola, E. Carlini, and R. Ferretti. Flux form semi-Lagrangian methods
for parabolic problems. Journal of Scientific Computing, 88:23, 2021.
[13] L. Bonaventura, F. Casella, L. Delpopolo Carciopolo, and A. Ranade. A self adjusting mul-
tirate algorithm for robust time discretization of partial differential equations. Computers
and Mathematics with Applications, 79:2086–2098, 2020.
[14] L. Bonaventura and V. Casulli. A semi-implicit scheme for the barotropic primitive equa-
tions of atmospheric dynamics. International Journal of Numerical Methods for Heat and
Fluid Flow, 7:63–80, 1997.
[15] L. Bonaventura and D. Cesari. An efficient nonhydrostatic dynamical core for high-
resolution simulations down to the urban scale. Nuovo Cimento C - Geophysics and Space
Physiscs, 28:105–114, 2006.
[16] L. Bonaventura, E. D. Fernandez-Nieto, J. Garres-Dıaz, and G. Narbona-Reina. Multi-
layer shallow water models with locally variable number of layers and semi-implicit time
discretization. Journal of Computational Physics, 364:209–234, 2018.
[17] L. Bonaventura and R. Ferretti. Semi-Lagrangian methods for parabolic problems in diver-
gence form. SIAM Journal of Scientific Computing, 36:A2458 – A2477, 2014.
[18] L. Bonaventura and R. Ferretti. Flux form semi-Lagrangian methods for parabolic prob-
lems. Communications in Applied and Industrial Mathematics, 7:53–70, 2016.
[19] L. Bonaventura, R. Ferretti, and L. Rocchi. A fully semi-Lagrangian discretization for
the 2D incompressible Navier-Stokes equations in the vorticity-streamfunction formulation.
Applied Mathematics and Computation, 323:132–144, 2018.
[20] L. Bonaventura, A. Iske, and E. Miglio. Kernel-based vector field reconstruction in com-
putational fluid dynamic models. International Journal of Numerical Methods in Fluids,
66:714–729, 2011.
[21] L. Bonaventura, L.Kornblueh, T.Heinze, and P. Rıpodas. A semi-implicit method conserv-
ing mass and potential vorticity for the shallow water equations on the sphere. International
Journal of Numerical Methods in Fluids, 47:863–869, 2005.
[22] L. Bonaventura and M. Gomez Marmol. The TR-BDF2 method for second order problems
in structural mechanics. Computers and Mathematics with Applications, 92:13–26, 2021.
[23] L. Bonaventura, R. Redler, and R. Budich. Earth System Modelling 2: Algorithms, Code
Infrastructure and Optimisation. Springer Verlag, New York, 2012.
[24] L. Bonaventura and T. Ringler. Analysis of discrete shallow water models on geodesic
Delaunay grids with C-type staggering. Monthly Weather Review, 133:2351–2373, 2005.
[25] L. Bonaventura and A. Della Rocca. Unconditionally strong stability preserving extensions
of the TR-BDF2 method. Journal of Scientific Computing, 70:859–895, 2017.
5
[26] L. Bonaventura and G. Rosatti. A cascadic conjugate gradient algorithm for mass conserva-
tive, semi-implicit discretization of the shallow water equations on locally refined structured
grids. International Journal of Numerical Methods in Fluids, 40:217–230, 2002.
[27] S. Carcano, L. Bonaventura, A. Neri, and T. Esposti Ongaro. A second order accurate nu-
merical model for multiphase underexpanded volcanic jets. Geophysical Model Development,
6:1905–1924, 2013.
[28] S. Carcano, T. Esposti Ongaro, L. Bonaventura, and A. Neri. Influence of grain-size dis-
tribution on the dynamics of underexpanded volcanic jets. Journal of Volcanology and
Geothermal Research, 285:60–80, 2014.
[29] L. Delpopolo Carciopolo, L. Bonaventura, A. Scotti, and L. Formaggia. A conservative
implicit multirate method for hyperbolic problems. Computational Geosciences, 23:647–
664, 2019.
[30] S. Castruccio, L. Bonaventura, and L.M. Sangalli. A bayesian approach to spatial prediction
with flexible variogram models,. Journal of Agricultural, Biological, and Environmental
Statistics, 17:209–227, 2012.
[31] A. Decoene, L. Bonaventura, E. Miglio, and F. Saleri. Asymptotic derivation of the section
averaged shallow water equations for river hydraulics. Mathematical Models and Methods
in Applied Sciences, 19:387–417, 2009.
[32] S. Erlicher, L. Bonaventura, and O. S. Bursi. The analysis of the generalized-α method for
non-linear dynamic problems. Computational Mechanics, 28:83–104, 2002.
[33] F. Garcia, L. Bonaventura, M. Net, and J. Sanchez. Exponential versus IMEX high-order
time integrators for thermal convection in rotating spherical shells. Journal of Computa-
tional Physics, 264:41–54, 2014.
[34] G. Garegnani, G. Rosatti, and L. Bonaventura. Free surface flows over mobile bed: math-
ematical analysis and numerical modeling of coupled and decoupled approaches. Commu-
nications in Applied and Industrial Mathematics, 1(3), 2011.
[35] G. Garegnani, G. Rosatti, and L. Bonaventura. On the range of validity of the Exner-based
models for mobile-bed river flow simulations. Journal of Hydraulic Research, 51:380–391,
2013.
[36] J. Garres-Dıaz and L. Bonaventura. Flexible and efficient discretizations of multilayer
models with variable density. Applied Mathematics and Computation, 402:126097, 2021.
[37] F. Gatti, A. Menafoglio, N. Togni, L. Bonaventura, D. Brambilla, M. Papini, and L. Lon-
goni. A novel downscaling procedure for compositional data in the Aitchison geometry with
application to soil texture data. Stochastic Environmental Research and Risk Assessment,
35:1223–1241, 2021.
[38] M. Germano, A. Abba, R. Arina, and L. Bonaventura. On the extension of the eddy
viscosity model to compressible flows. Physics of Fluids, page 041702, 2014.
[39] E.S. Gross, L. Bonaventura, and G. Rosatti. Consistency with continuity in conservative
advection schemes for free-surface models. International Journal of Numerical Methods in
Fluids, 38:307–327, 2002.
6
[40] E.S. Gross, V. Casulli, L. Bonaventura, and J.R. Koseff. A semi-implicit method for verti-
cal transport in multidimensional models. International Journal of Numerical Methods in
Fluids, 28:157–186, 1998.
[41] L. Mari, C. Biotto, A. Decoene, and L. Bonaventura. A coupled ecological-hydrodynamic
model for the spatial distribution of sessile aquatic species in thermally forced basins. Eco-
logical Modelling, 220:2310–2324, 2009.
[42] L. Mari, L. Bonaventura, A. Storto, P. Melia, M. Gatto, S. Masina, and R. Casagrandi.
Understanding large-scale, long-term larval connectivity patterns: The case of the Northern
Line Islands in the Central Pacific Ocean. PLoS ONE, 12:e0182681, 2017.
[43] P. Melia, M. Schiavina, M. Gatto, L. Bonaventura, S. Masina, and R. Casagrandi. Inte-
grating field data into individual-based models for the migration of european eel larvae.
Marine Ecology Progress Series, 487:135–149, 2013.
[44] T. Pugnat, B. Dalena, A. Simona, and L. Bonaventura. Computation of beam based
quantities with 3D final focus quadrupoles field in circular hadronic accelerators. Nuclear
Instruments and Methods in Physics Research, A978:164350, 2020.
[45] M. Restelli, L. Bonaventura, and R. Sacco. A semi-Lagrangian Discontinuous Galerkin
method for scalar advection by incompressible flows. Journal of Computational Physics,
216:195–215, 2006.
[46] P. Rıpodas, A. Gassmann, J. Forstner, D. Majewski, M. Giorgetta, P. Korn, L. Korn-
blueh, H. Wan, G. Zangl, L. Bonaventura, and T. Heinze. Icosahedral Shallow Water
Model (ICOSWM): results of shallow water test cases and sensitivity to model parameters.
Geophysical Model Development, 2:231–251, 2009.
[47] G. Rosatti, L. Bonaventura, and R. Chemotti. High order interpolation methods for semi-
Lagrangian models of mobile-bed river hydrodynamics on cartesian grids with cut cells.
International Journal of Numerical Methods in Fluids, 47:1269–1275, 2005.
[48] G. Rosatti, L. Bonaventura, A. Deponti, and G. Garegnani. An accurate and efficient semi-
implicit method for section-averaged free-surface flow modelling. International Journal of
Numerical Methods in Fluids, 65:448–473, 2011.
[49] G. Rosatti, D. Cesari, and L. Bonaventura. Semi-implicit, semi-Lagrangian environmental
modelling on cartesian grids with cut cells. Journal of Computational Physics, 204:353–377,
2005.
[50] A. Simona, L. Bonaventura, C. de Falco, and S. Schops. IsoGeometric Approximations
for Electromagnetic Problems in Axisymmetric Domains. Computer Methods in Applied
Mechanics and Engineering, 369:113211, 2020.
[51] A. Simona, L. Bonaventura, T. Pugnat, and B. Dalena. High order time integrators for
the simulation of charged particle motion in magnetic quadrupoles. Computer Physics
Communications, 239:33–52, 2019.
[52] J. Steppeler, R. Hess, G. Doms, U. Schattler, and L. Bonaventura. Review of numeri-
cal methods for nonhydrostatic weather prediction models. Meteorology and Atmospheric
Physics, 82:287–301, 2003.
7
[53] J. Steppeler, M. Minotte, H.W. Bitzer, and L. Bonaventura. Nonhydrostatic modelling
using a z−coordinate representation. Monthly Weather Review, 130:2143–2149, 2002.
[54] M. Tugnoli, A. Abba, L. Bonaventura, and M. Restelli. A locally p−adaptive approach for
Large Eddy Simulation of compressible flows in a DG framework. Journal of Computational
Physics, 349:33–58, 2017.
[55] G. Tumolo and L. Bonaventura. A semi-implicit, semi-Lagrangian, DG framework for adap-
tive numerical weather prediction. Quarterly Journal of the Royal Meteorological Society,
141:2582–2601, 2015.
[56] G. Tumolo, L. Bonaventura, and M. Restelli. A semi-implicit, semi-Lagrangian, p−adaptive
discontinuous Galerkin method for the shallow water equations. Journal of Computational
Physics, 232:46–67, 2013.
[57] H. Wan, M. Giorgetta, and L. Bonaventura. Ensemble Held-Suarez test with a spec-
tral transform model: variability, sensitivity and convergence. Monthly Weather Review,
136:1075–1092, 2008.
[58] H. Wan, M. A. Giorgetta, G. Zangl, M. Restelli, D. Majewski, L. Bonaventura, K. Frohlich,
D. Reinert, P. Rıpodas, L. Kornblueh, and J. Forstner. The ICON-1.2 hydrostatic atmo-
spheric dynamical core on triangular grids – Part 1: Formulation and performance of the
baseline version. Geophysical Model Development, 6:735–763, 2013.
Outline of teaching activities:
I have over 25 years of teaching experience and I have been teaching Bachelor and Master
Degree courses in numerical mathematics, mathematical analysis, statistics and probability. I
have taught PhD courses at Politecnico di Milano and IMUS Sevilla and held specific courses
on numerical methods for employees of regional weather services in Italy. I have been EASED
Erasmus Mundus Exchange Professor at the Keio University, Tokyo in 2015 and ERCOFTAC
Leonhard Euler Lecturer at ETH Zurich in 2004. I have tutored or co-tutored 31 Bachelor and
Master Degree candidates and 7 PhD candidates, several of them being international students.
Several of these students have been later hired in important academic and industrial research
institutions also based on the thesis work I tutored.
8
Outline of research coordination and other professional activities:
I have been active in a number of MIUR, INDAM and GNCS projects from the beginning of
my career. I have coordinated the numerical modelling activities of two key projects for the
development of novel methods for weather prediction, namely ICON (financed by Max Planck
Institute for Meteorology and the German Weather Forecasting Service, 2002-5) and ESCAPE-
2 (financed by the European Commission, 2018-21). During my involvement with the ICON
project, I have been working full time as Scientist at the Max Planck Institute for Meteorology
in Hamburg and have been in charge of the dissemination and coordination activities related to
the project. I have been the recipient of individual grants from the European Commission, the
Erasmus Mundus programme and the Office of Naval Research. I have participated in projects
on the development of numerical methods for environmental flows supported by the Italian
National Institute for Geology and Volcanology, Fondazione CARIPLO and by the Spanish
Government. I have participated to a number of third party industrial projects with major
Italian companies (ENI, Tenova) and acted in the past as scientific consultant for the German
Weather Forecasting service and for some Italian regional weather services. I am a member of the
European Science Foundation College of Expert Reviewers and of the Editorial Board of Applied
Mathematics and Computation. I have been invited to a number of high profile research meetings
on numerical methods for modelling of atmospheric flows, including initiatives at the Institute
for Pure and Applied Mathematics (UCLA, US) and the Newton Institute for Mathematical
Sciences (Cambridge, UK).
Complete record of activities and publications:
• Special temporary positions:
– Invited Visiting Scientist, Keio University, Tokyo, Japan, 2015
– Invited Visiting Scientist, Met Office, Exeter, UK, 2015
– Visiting PhD lecturer, IMUS, Sevilla, Spain, 2015
– Invited Visiting Scientist, Newton Institute Programme on Multiscale Numerics for
the Atmosphere and Ocean, Cambridge, UK, 2012
– ONR grant Visiting Scientist, Naval Postgraduate School, Monterey, USA, 2011
– Invited Senior Fellow, IPAM Special Programme on Model and Data Hierarchies for
Simulating and Understanding Climate, UCLA, Los Angeles, USA, 2010
– ERCOFTAC Leonhard Euler Lecturer, ETH Zurich, Switzerland, 2004
• Other temporary positions:
– Scientific consultant, ARPA Piemonte, Torino, Italy, 2002-3
– Scientific consultant, Deutscher Wetterdienst, Frankfurt am Main, Germany, 2000-1
– Scientific consultant, ARPA Emilia Romagna, Bologna, Italy, 2000-1
– Scientific consultant, PROTECNO s.r.l., Padova, Italy, 2000
– Scientific consultant, Istituto di Ricerca Scientifica e Tecnologica, Trento, Italy, 1996
9
• Main conference invitations:
– Invited participant, Dagstuhl Seminar on Resiliency in Numerical Algorithm Design
for Extreme Scale Simulations, Dagstuhl, Germany, 2020
– Invited Keynote Minisymposium Speaker, Finite Elements in Flows Conference, Uni-
versity Sapienza, Rome, Italy, 2017
– Invited Speaker, INDAM - GNCS 2016 congress, Montecatini, Italy, 2016
– Invited Speaker, Workshop on Reactive Transport Modelling in the Geological Sci-
ences, Institut Henri Poincare, Paris, France, 2015
– Invited Speaker, Conference on Numerical methods for PDEs: optimal control, games
and image processing, University Sapienza, Rome, Italy, 2014
– Invited Speaker, IMUS workshop on mathematical modelling and simulation of sedi-
ment transport, Sevilla, Spain, 2014
– Invited Speaker, Final workshop of COST Action ES0905, Toulouse, France, 2014
– Invited Speaker, 26th Entretiens Jacques Cartier, Section: Mathematiques et change-
ments climatiques, Lyon, France, 2013
– Invited Lecturer, Geophysical Fluid Dynamics Workshop, Madeira, Portugal, 2008
– Invited Speaker, ECMWF Seminar on recent developments in numerical methods for
atmosphere and ocean modelling, Reading, UK, 2004
– Invited Speaker, ECMWF-SPARC Workshop on Modelling and Assimilation for the
Stratosphere and Tropopause, ECMWF, Reading, UK, 2003
10
• Coordination of research projects and individual grants:
– ESCAPE-2 FET H2020 project, coordinator of the work unit at Politecnico di Milano
and co-leader of Work Package 1, 2018-21
– SMART-SED project, Fondazione CARIPLO, coordinator of the work unit at the
Mathematics Department of Politecnico di Milano, 2018-20
– LISA production project DECLES: Large Eddy Simulation of Density Currents and
Variable Density Flows, HPL13PJ6YS, 2016-17, principal investigator
– INDAM - GNCS project Metodi numerici semi-impliciti e semi-Lagrangiani per sis-
temi iperbolici di leggi di bilancio, 2015-16, coordinator
– ERASMUS MUNDUS Programme, Euro-Asian Sustainable Energy Development Con-
sortium, EM-EASED 10073, 2015, individual grant
– Office of Naval Research (USA) grant N62909-11-1-4007:Exponential Time-Integrators
for Non-hydrostatic Atmospheric Modeling, 2011, individual grant
– MPI for Meteorology, Hamburg and Deutscher Wetterdienst, Frankfurt, ICON project,
2002-5, coordinator of Numerical Methods group
– Marie Curie Training and Mobility of Researchers Program, European Union, Con-
tract ERBFMBICT961555, 1996, individual grant
• Participation to research projects:
– European Commission - Research & Innovation Fund for Coal and Steel, Burner4.0
project, 2019-21
– INDAM - GNCS project Approssimazione numerica di problemi di natura iperbolica
ed applicazioni, 2019-20
– ENI - MOX Politecnico di Milano, Progetto MUFLOT, 2018-21
– INDAM - GNCS project Modellazione numerica di fenomeni idro/geomeccanici per
la simulazione di eventi sismici, 2017-18
– ENI - MOX Politecnico di Milano, Progetto BIOGEN, 2015-17
– Universidad de Sevilla Proyecto SIMURISK, Desarrollo de simuladores hidrodinamicos
y morfodinamicos eficientes para la evaluacion y prevision de riesgos, MTM2015-
70490-C2-2-R, 2016-18
– INGV Progetto V1 Valutazione della pericolosita vulcanica in termini probabilistici,
2013-14
– INDAM - GNCS project Metodi ad alta risoluzione per problemi evolutivi fortemente
nonlineari, 2014-15
– COST Action ES0905 Basic concepts for convection parameterization in weather fore-
cast and climate models, 2013-14
– INDAM - GNCS project Metodologie teoriche ed applicazioni avanzate nei metodi
Semi-Lagrangiani, 2011-13
– ENI - MOX Politecnico di Milano, Progetto GeoDyn, 2011-13
– MIUR, PRIN 2008 Approssimazione Numerica con Tecniche Adattive e Non-Conformi
di Problemi Multifisica, codice 200834WK7H 005, Unita operativa Milano Politecnico,
2008-10
11
– MIUR, PRIN 2005 Modelli numerici nella dinamica dei fluidi con applicazioni al
sistema cardiovascolare ed all’ambiente, codice 2005 2005013982 001, Unita operativa
Milano Politecnico, 2006-7
– MIUR, PRIN 2004 Adattivita numerica e di modello per problemi alle derivate parziali,
codice 2004014411 006, Unita operativa di Milano Politecnico, 2005
– MIUR, PRIN 2002 Modellazione matematica di estuari e reti a marea, codice 2002085571 004,
Unita operativa di Trento, 2002
– MIUR, PRIN 2001: Calibrazione sperimentale di modelli matematici per la valu-
tazione dei carichi massimi ammissibili nei corpi idrici superficiali, codice 2001085991 001,
Unita operativa di Trento, 2001
– MIUR, PRIN 1997 Metodi e Modelli Matematici in Fluidodinamica, codice 9701091751 010,
Unita operativa di Trento, 1997
• Organization of international scientific events as main or co-organizer:
– 2021: Head of the organizing committee of the ESCAPE-2 summer school, online,
July 19-23 2021
– 2021: Member of the local organizing committee of the 2021 SIAM Geosciences
Congress, online, June 21-24 2021
– 2019: Co-organizer of Minisymposium on fault tolerant linear solvers, PASC 2019
Conference, Zurich, Switzerland
– 2019: Co-organizer of Minisymposium on numerical methods for environmental flows,
International Congress on Industrial and Applied Mathematics, Valencia, Spain
– 2019: Organizer of ESCAPE-2 workshop on Fault tolerant algorithms and resilient
approaches, Milano, Italy
– 2018: Member of the scientific committee of the PASC 2018 Conference, Basel,
Switzerland
– 2017: Co-organizer of Minisymposium on numerical methods for numerical weather
prediction, SIAM Conference on Numerical Methods for the Geosciences, Erlangen,
Germany
– 2016: Member of the organizing committee of the 2016 SIMAI Congress
– 2016: Main organizer of SISL-Day 2016 Workshop on semi-implicit and semi-Lagrangian
methods, Politecnico di Milano
– 2015-16: Co-editor of special issue of Communications in Applied and Industrial
Mathematics on Semi-Lagrangian Methods
– 2015: Co-organizer of Minisymposium Numerical time integration strategies for highly
oscillatory systems of hyperbolic PDEs, SciCADE, International Conference on Sci-
entific Computation and Differential Equations, Potsdam, Germany, 2015
– 2015: Co-organizer of Workshop Spectral Elements in Elastodynamics: applications
to seismic wave propagation problems, Politecnico di Milano
– 2014: Main organizer of Workshop of EU Cost Action 0905, working group 1, Po-
litecnico di Milano
– 2013: Main organizer of ’SL-Day 2012’ workshop on semi-Lagrangian methods, Po-
litecnico di Milano
12
– 2011: Co-organizer of ’SL-Day 2011’ workshop on semi-Lagrangian methods, Univer-
sita Sapienza di Roma
– 2010: Co-organizer of Minisymposium on numerical methods for environmental prob-
lems, joint SIMAI-SEMA Conference, Cagliari, Italy
– 2007: Co-organizer of Minisymposium on numerical methods for free surface flows,
ICIAM Conference, Zurich, Switzerland
– 2005: Co-organizer of Minisymposium on numerical methods for nonhydrostatic at-
mospheric modelling, SIAM Conference on Numerical Methods for the Geosciences,
Avignon, France
– 2003: Co-organizer of Minisymposium on numerical methods for atmospheric mod-
elling, GAMM Annual Meeting, Padova, Italy
– 2002: Co-organizer of ICON Project Exploratory Workshop, Hamburg, Germany
– 1999: Co-organizer of International Workshop on Atmospheric, Oceanic and Ground-
water Flows, CIRM, Trento, Italy
• Member of the European Science Foundation College of Expert Reviewers
• Reviewer for:
– Journal of Computational Physics
– International Journal of Numerical Methods in Fluids
– Computers and Mathematics with Applications
– Monthly Weather Review
– Oceanic Modelling
– Geophysical Model Development
– Advances in Water Resources
– Journal of Advances in Modelling Earth Systems
– Journal of Hydraulic Engineering
– Communications in Applied and Industrial Mathematics
– Communications in Computer Physics
• Books:
2) L. Bonaventura, L. Formaggia, E. Miglio, N. Parolini, A. Scotti and C. Vergara
(editors), Proceedings of the XIII SIMAI congress 2016, ISBN 978-88-6493-035-0,
SIMAI, 2016
1) L. Bonaventura, R. Redler, R. Budich, Earth System Modelling 2: Algorithms, Code
Infrastructure and Optimisation, Springer Briefs in Earth System Science, ISBN 978-
3-642-23830-7, Springer Verlag, 2012
13
• Complete list of publications in refereed journals:
60) F. Vismara, T. Benacchio, L. Bonaventura, A seamless, extended DG approach for
hyperbolic-parabolic problems on unbounded domains, Journal of Scientific Comput-
ing, to appear, 2021
59) E. Agullo, M. Altenbernd, H. Anzt, L. Bautista-Gomez, T. Benacchio, L. Bonaven-
tura, H. J. Bungartz, S. Chatterjee, F. Ciorba, N. DeBardeleben, et al, Resiliency
in Numerical Algorithm Design for Extreme Scale Simulations, The International
Journal of High Performance Computing Applications, to appear, 2021
58) L. Bonaventura, E. Calzola, E. Carlini, R. Ferretti, Second order fully semi-Lagrangian
discretizations of advection–diffusion–reaction systems, Journal of Scientific Comput-
ing, Vol. 88, 23, 2021
57) L. Bonaventura, M. Gomez Marmol, The TR-BDF2 method for second order prob-
lems in structural mechanics, Computers and Mathematics with Applications, Vol.
92, pp. 13-26, 2021
56) L. Bonaventura, J. Garres Diaz, Flexible and efficient discretizations of multilayer
models with variable density, Applied Mathematics and Computation, Vol. 402,
126097, 2021
55) T. Benacchio, L. Bonaventura, M. Altenbernd, C. D. Cantwell, P. D. Duben, M. Gillard,
L. Giraud, D. Goddeke, E. Raffin, K. Teranishi, N. Wedi, Resilience and fault-
tolerance in high-performance computing for numerical weather and climate predic-
tion, The International Journal of High Performance Computing Applications, Vol.
35, pp. 285–311, 2021
54) F. Gatti, A. Menafoglio, N. Togni, L. Bonaventura, D. Brambilla, M. Papini, L. Lon-
goni, A novel downscaling procedure for compositional data in the Aitchison geome-
try with application to soil texture data, Stochastic Environmental Research and Risk
Assessment, Vol. 35, pp. 1223–1241, 2021
53) C. Bassi, L. Bonaventura, S. Busto, M. Dumbser A hyperbolic reformulation of the
Serre-Green-Naghdi model for general bottom topographies, Computers & Fluids,
Vol. 212, 104716, 2020
52) A. Abba, L. Bonaventura, A. Recanati, M. Tugnoli, Dynamical p−adaptivity for
LES of compressible flows in a high order DG framework, Journal of Computational
Physics, Vol. 420, 109720, 2020
51) T. Pugnat, B. Dalena, A. Simona, L. Bonaventura, Computation of beam based
quantities with 3D final focus quadrupoles field in circular hadronic accelerators,
Nuclear Instruments and Methods in Physics Research, A978, 164350, 2020
50) A. Simona, L. Bonaventura, C. de Falco, S. Schops, IsoGeometric Approximations for
Electromagnetic Problems in Axisymmetric Domains, Computer Methods in Applied
Mechanics and Engineering, Vol. 369, 113211, 2020
49) C. Bassi, A. Abba, L. Bonaventura, L. Valdettaro, Large Eddy Simulation of non-
Boussinesq gravity currents with a DG method, Theoretical and Computational Fluid
Dynamics, Vol. 34, pp. 231-247, 2020
48) L. Bonaventura, F. Casella, L. Delpopolo Carciopolo, A. Ranade, A self adjusting
multirate algorithm for robust time discretization of partial differential equations,
Computers and Mathematics with Applications, Vol. 79, pp. 2086-2098, 2020
14
47) L. Delpopolo Carciopolo, L. Bonaventura, A. Scotti, L. Formaggia, A conservative
implicit multirate method for hyperbolic problems, Computational Geosciences, Vol.
23, pp. 647-664, 2019
46) A. Simona, L. Bonaventura, T. Pugnat, B. Dalena, High order time integrators for
the simulation of charged particle motion in magnetic quadrupoles, Computer Physics
Communications, Vol. 239, pp. 33-52, 2019
45) T. Benacchio, L. Bonaventura, An extension of DG methods for hyperbolic problems
to one-dimensional semi-infinite domains, Applied Mathematics and Computation,
Vol. 350, pp. 266-282, 2019
44) L. Bonaventura, E. D. Fernandez Nieto, J. Garres Diaz, G. Narbona Reina, Multilayer
shallow water models with locally variable number of layers and semi-implicit time
discretization, Journal of Computational Physics, Vol. 364, pp. 209-234, 2018
43) L. Bonaventura, R. Ferretti, L. Rocchi, A fully semi-Lagrangian discretization for the
2D incompressible Navier-Stokes equations in the vorticity-streamfunction formula-
tion, Applied Mathematics and Computation, Vol. 323, pp. 132-144, 2018
42) M. Tugnoli, A. Abba, L. Bonaventura, M. Restelli, A locally p−adaptive approach
for Large Eddy Simulation of compressible flows in a DG framework, Journal of
Computational Physics, Vol. 349, pp. 33-58, 2017
41) L. Mari, L. Bonaventura, A. Storto, P. Melia, M. Gatto, S. Masina, R. Casagrandi,
Understanding large-scale, long-term larval connectivity patterns: The case of the
Northern Line Islands in the Central Pacific Ocean, PLoS ONE, Vol. 12, e0182681,
2017
40) C. Bassi, A. Abba, L. Bonaventura, L. Valdettaro, Large Eddy Simulation of gravity
currents with a high order DG method, Communications in Applied and Industrial
Mathematics, Vol. 8, pp. 128-148, 2017
39) L. Bonaventura, A. Della Rocca, Unconditional Strong Stability Preserving extensions
of the TR-BDF2 method, Journal of Scientific Computing, Vol. 70, pp. 859-895, 2017
38) L. Bonaventura, M. Falcone, R. Ferretti, Introduction to the Special Issue on New
Trends in Semi-Lagrangian Methods, Communications in Applied and Industrial
Mathematics, Vol. 7, pp. 1-3, 2016
37) L. Bonaventura, R. Ferretti, Flux form Semi-Lagrangian methods for parabolic prob-
lems, Communications in Applied and Industrial Mathematics, Vol. 7, pp. 53-70,
2016
36) G. Tumolo, L. Bonaventura, A semi-implicit, semi-Lagrangian, DG framework for
adaptive numerical weather prediction, Quarterly Journal of the Royal Meteorological
Society, Vol. 141, pp. 2582-2601, 2015
35) A. Abba, L. Bonaventura, M. Nini, M. Restelli, Dynamic models for Large Eddy
Simulation of compressible flows with a high order DG method, Computers & Fluids,
Vol. 122, pp. 202 - 222, 2015
34) L. Bonaventura, R. Ferretti, Semi-Lagrangian methods for parabolic problems in
divergence form, SIAM Journal of Scientific Computing, Vol. 36, pp. A2458 - A2477,
2014
33) S. Carcano, T. Esposti Ongaro, L. Bonaventura, A. Neri, Influence of grain-size dis-
tribution on the dynamics of underexpanded volcanic jets, Journal of Volcanology
and Geothermal Research,Vol. 285, pp. 60 - 80, 2014
15
32) M. Germano, A. Abba, R. Arina, L. Bonaventura, On the extension of the eddy
viscosity model to compressible flows, Physics of Fluids, 041702, 2014
31) F. Garcia, L. Bonaventura, M. Net, J. Sanchez, Exponential versus IMEX high-
order time integrators for thermal convection in rotating spherical shells, Journal of
Computational Physics, Vol. 264, pp. 41-54, 2014
30) S. Carcano, L. Bonaventura, A. Neri, T. Esposti Ongaro, A second order accurate
numerical model for multiphase underexpanded volcanic jets, Geoscientific Model
Development,Vol. 6, pp. 1905-1924, 2013
29) P. Melia, M. Schiavina, M. Gatto, L. Bonaventura, S. Masina, R. Casagrandi, In-
tegrating field data into individual-based models for the migration of European eel
larvae, Marine Ecology Progress Series, Vol. 487, pp. 135-149, 2013
28) G. Garegnani, G. Rosatti, L. Bonaventura, On the range of validity of the Exner-
based models for mobile-bed river flow simulations, Journal of Hydraulic Research,
Vol. 51, pp. 380-391, 2013
27) H. Wan, M. A. Giorgetta,G. Zangl, M. Restelli, D. Majewski, L. Bonaventura,K. Frohlich,
D. Reinert, P. Rıpodas, L. Kornblueh, J. Forstner, The ICON-1.2 hydrostatic atmo-
spheric dynamical core on triangular grids – Part 1: Formulation and performance of
the baseline version, Geoscientific Model Development,Vol. 6, pp. 735-763, 2013
26) T. Benacchio, L. Bonaventura, Absorbing boundary conditions: a spectral collocation
approach, International Journal of Numerical Methods in Fluids, Vol. 72, pp. 913-
936, 2013
25) G. Tumolo, L. Bonaventura, M. Restelli, A semi-implicit, semi-Lagrangian, p−adaptive
Discontinuous Galerkin method for the shallow water equations, Journal of Compu-
tational Physics, Vol. 232, pp. 46-67, 2013
24) S. Castruccio, L. Bonaventura, L. M. Sangalli, A Bayesian Approach to Spatial Pre-
diction With Flexible Variogram Models, Journal of Agricultural, Biological, and
Environmental Statistics, Vol. 17, pp. 209-227, 2012
23) G. Garegnani, G. Rosatti, L. Bonaventura, Free surface flows over mobile bed: mathe-
matical analysis and numerical modeling of coupled and decoupled approaches, Com-
munications in Applied and Industrial Mathematics, Vol. 1, N. 3, 2011
22) L. Bonaventura, A. Iske, E. Miglio, Kernel-Based Vector Field Reconstruction in
Computational Fluid Dynamic Models, International Journal of Numerical Methods
in Fluids,Vol. 66, pp. 714-729, 2011
21) G. Rosatti, L. Bonaventura, A. Deponti, G. Garegnani, An Accurate and Efficient
Semi-Implicit Method for Section Averaged Free Surface Flow Modelling,International
Journal of Numerical Methods in Fluids,Vol. 65, pp. 448-473, 2011
20) P. Ripodas, A. Gassmann, J. Forstner, D. Majewski, M. Giorgetta, P. Korn, L. Ko-
rnblueh, H. Wan, G. Zangl, L. Bonaventura, T. Heinze, Icosahedral Shallow Water
Model (ICOSWM): results of shallow water test cases and sensitivity to model pa-
rameters,Geoscientific Model Development,Vol. 2, pp. 231-251, 2009
19) L. Mari, C. Biotto, A. Decoene, L. Bonaventura, A coupled ecological-hydrodynamic
model for the spatial distribution of sessile aquatic species in thermally forced basins,
Ecological Modelling,Vol. 220, pp. 2310-2324, 2009
16
18) A. Decoene, L. Bonaventura, E. Miglio, F. Saleri, Asymptotic Derivation of the Sec-
tion Averaged Shallow Water Equations for River Hydraulics, Mathematical Models
and Methods in Applied Sciences, Vol. 19, pp. 387-417, 2009
17) H. Wan, M. Giorgetta, L. Bonaventura, Ensemble Held-Suarez test with a spectral
transform model: variability, sensitivity and convergence, Monthly Weather Review,
Vol. 136, pp. 1075-1092, 2008
16) A. Abba, L. Bonaventura, A vorticity preserving finite difference discretization for the
incompressible Navier-Stokes equations, International Journal of Numerical Methods
in Fluids,Vol. 56, pp. 1101-1106, 2008
15) M. Restelli, L. Bonaventura, R. Sacco, A semi-Lagrangian discontinuous Galerkin
method for scalar advection by incompressible flows, Journal of Computational Physics,
Vol. 216, pp. 195-215, 2006
14) L. Bonaventura, D. Cesari, An efficient nonhydrostatic dynamical core for high-
resolution simulations down to the urban scale, Nuovo Cimento C - Geophysics and
Space Physiscs,Vol. 28, pp. 105-114, 2006
13) L. Bonaventura, T. Ringler, Analysis of discrete shallow-water models on geodesic
Delaunay grids with C-type staggering, Monthly Weather Review,Vol. 133, pp. 2351-
2373, 2005
12) G. Rosatti, L. Bonaventura, R. Chemotti, High order interpolation methods for semi-
Lagrangian models of mobile-bed river hydrodynamics on cartesian grids with cut
cells, International Journal of Numerical Methods in Fluids,Vol.47, pp. 1269-1275,
2005
11) L. Bonaventura, L. Kornblueh, T. Heinze, P. Ripodas, A Semi-implicit method con-
serving mass and potential vorticity for the shallow water equations on the sphere,
International Journal of Numerical Methods in Fluids,Vol. 47, pp. 863-869, 2005
10) G. Rosatti, D. Cesari, L. Bonaventura, Semi-implicit, semi-Lagrangian environmental
modelling on cartesian grids with cut cells, Journal of Computational Physics,Vol.
204, pp. 352-377, 2005
9) J. Steppeler, R. Hess, G. Doms, U. Schattler, L. Bonaventura, Review of numerical
methods for nonhydrostatic weather prediction models, Meteorology and Atmospheric
Physics,Vol. 82, pp. 287-301, 2003
8) S. Erlicher, L. Bonaventura, O. S. Bursi, The Analysis of the Generalized-α Method
for Non-linear Dynamic Problems, Computational mechanics,Vol. 28, pp. 83-104,
2002
7) L. Bonaventura, G. Rosatti, A cascadic conjugate gradient algorithm for mass conser-
vative, semi-implicit discretization of the shallow water equations on locally refined
structured grids, International Journal of Numerical Methods in Fluids,Vol. 40, pp.
217-230, 2002
6) J. Steppeler, M. Minotte, H. W. Bitzer, L. Bonaventura, Nonhydrostatic modelling
using a z−coordinate representation, Monthly Weather Review,Vol. 130, pp. 2143-
2149, 2002
5) E. S. Gross, L. Bonaventura, G. Rosatti, Consistency with continuity in conserva-
tive advection schemes for free-surface models, International Journal of Numerical
Methods in Fluids, Vol. 38, pp. 307-327, 2002
17
4) L. Bonaventura, A Semi-Implicit, Semi-Lagrangian Scheme Using the Height Coor-
dinate for a Nonhydrostatic and Fully Elastic Model of Atmospheric Flows, Journal
of Computational Physics,Vol. 158, pp. 186-213, 2000
3) E.S. Gross, V. Casulli, L. Bonaventura, J.R. Koseff, A Semi-Implicit Method for
Vertical Transport in Multidimensional Models, International Journal of Numerical
Methods in Fluids, Vol. 28, pp. 157-186, 1998
2) L. Bonaventura, V. Casulli, A Semi-Implicit Scheme for the Barotropic Primitive
Equations of Atmospheric Dynamics, International Journal of Numerical Methods
for Heat and Fluid Flow, Vol. 7, pp. 63-80, 1997
1) L. Bonaventura, Interface Evolution in an Interacting Spin System, Journal of Non-
linear Analysis, Theory Methods and Applications, Vol. 25, pp. 799-819, 1995.
• Refereed Conference Proceedings:
13) M. Tugnoli, A. Abba, L. Bonaventura, Dynamical degree adaptivity for DG-LES
models, Proceedings of the ICOSAHOM 2018 Conference, London, UK, 2020
12) D. Brambilla, M. Papini, V.I. Ivanov, L. Bonaventura, A. Abbate, L. Longoni,
Sediment Yield, Mountain Basins, Analysis, and Management: The SMART-SED
Project. In: De Maio M., Tiwari A. (eds) Applied Geology, Springer, 2020
11) G. Tumolo, L. Bonaventura, Simulations of Non-hydrostatic Flows by an Efficient
and Accurate p-adaptive DG Method, In: van Brummelen H., Corsini A., Perotto
S., Rozza G. (eds) Numerical Methods for Flows. Lecture Notes in Computational
Science and Engineering, Vol. 132, pp 41–53, Springer, 2020
10) L. Bonaventura, E. Calzola, E. Carlini, R. Ferretti, A fully semi-Lagrangian method
for the Navier-Stokes equations in primitive variables, In: van Brummelen H., Corsini
A., Perotto S., Rozza G. (eds) Numerical Methods for Flows. Lecture Notes in
Computational Science and Engineering, Vol. 132, pp 55–62, Springer, 2020
9) T. Pugnat, B. Dalena, A. Simona, L. Bonaventura, R. De Maria, V. K. Bergyld
Olsen, Study Of Fringe Fields Effects From Final Focus Quadrupoles On Beam Based
Measured Quantities, Proceedings of IPAC2019, Melbourne, Australia, 2019
8) T. Pugnat, B. Dalena, A. Simona, L. Bonaventura, R. De Maria, J. Molson, Accurate
And Efficient Tracking In Electromagnetic Quadrupoles, Proceedings of IPAC2018,
Vancouver, BC, Canada, 2018
7) V. Covello, A. Abba, L. Bonaventura, A. Della Rocca, L. Valdettaro, A multiphase
model for the numerical simulation of ice formation in sea water, in: Proceedings of
the ECCOMAS Congress 2016, VII European Congress on Computational Methods
in Applied Sciences and Engineering, Crete, Greece, June 2016
6) M. Schiavina, R. Casagrandi, M. Gatto, L. Bonaventura, S. Masina, P. Melia, Has
the ocean contributed to the decline of European eel recruitment? Results of a 40-
year simulation experiment, in: Proceedings of the 1st SISC Congress, Lecce, Italy,
September 2013
5) A. Quarteroni, L. Bonaventura, I modelli matematici per la previsione meteorologica,
in: Matematica e cultura 2007, Springer Milan, p. 241-251, 2007
4) L. Bonaventura, Development of the ICON dynamical core: modelling strategies and
preliminary results, in: Proceedings of the ECMWF/SPARC Workshop on Modelling
and Assimilation for the Stratosphere and Tropopause, ECMWF, 2003
18
3) G. Rosatti, L. Bonaventura, L. Poli, Analisi dell’impatto del progetto MOSE sulla
dinamica e sul trasporto nella laguna di Venezia, in: Atti del 28° Convegno di Idraulica
e Costruzioni idrauliche, Potenza, Italia, 2002
2) L. Bonaventura, E. S. Gross,Constancy Preserving, Conservative Methods for Free-
Surface Models, in: Godunov Methods, E.F. Toro (ed.), Springer, 2001
1) L. Bonaventura, A second order, semi-Lagrangian scheme with accurate approxima-
tion of trajectories, in: Proceedings of the 10th International Conference on Numerical
Methods in Fluids, Pineridge Press, Swansea, 1997
• Preprints and preliminary reports:
48) G. Orlando, A. Della Rocca, P. Barbante, L. Bonaventura,N. Parolini, An efficient and
accurate implicit DG solver for the incompressible Navier-Stokes equations, arXiv,
2107.07776, 2021
47) L. Bonaventura, F. Gatti, A. Menafoglio, D. Rossi, D. Brambilla, M. Papini, L. Lon-
goni, An efficient and robust soil erosion model at the basin scale, MOX Report
34/2021, 2021
46) F. Vismara, T. Benacchio, L. Bonaventura, A seamless, extended DG approach for
hyperbolic-parabolic problems on unbounded domains, arXiv, 2012.05954, 2020
45) E. Agullo, M. Altenbernd, H. Anzt, L. Bautista-Gomez, T. Benacchio, L. Bonaven-
tura, H. J. Bungartz, S. Chatterjee, F. Ciorba, N. DeBardeleben, et al, Resiliency in
Numerical Algorithm Design for Extreme Scale Simulations,arXiv, 2010.13342, 2020
44) L. Bonaventura, M. Gomez Marmol, The TR-BDF2 method for second order prob-
lems in structural mechanics, arXiv, 2007.12363, 2020
43) L. Bonaventura, J. Garres Diaz, Flexible and efficient discretizations of multilayer
models with variable density, arXiv, 2007.12917, 2020
42) F. Gatti, A. Menafoglio, N. Togni, L. Bonaventura, D. Brambilla, M. Papini, L. Lon-
goni, A novel downscaling procedure for compositional data in the Aitchison geometry
with application to soil texture data, arXiv, 2007.06856, 2020
41) T. Benacchio, L. Bonaventura, M. Altenbernd, C. D. Cantwell, P. D. Duben, M. Gillard,
L. Giraud, D. Goddeke, E. Raffin, K. Teranishi, N. Wedi, Resilience and fault-
tolerance in high-performance computing for numerical weather and climate predic-
tion, MOX Report 21/2020, 2020
40) C. Bassi, L. Bonaventura, S. Busto, M. Dumbser A hyperbolic reformulation of the
Serre-Green-Naghdi model for general bottom topographies, arXiv, 2003.14309, 2020
39) L. Bonaventura, E. Calzola, E. Carlini, R. Ferretti, Second order fully semi-Lagrangian
discretizations of advection–diffusion–reaction systems, MOX Report 10/2020, 2020
38) A. Simona, L. Bonaventura, C. de Falco, S. Schops, IsoGeometric Approximations for
Electromagnetic Problems in Axisymmetric Domains, MOX Report 54/2019, 2019
37) A. Abba, L. Bonaventura, A. Recanati, M. Tugnoli, Dinamically p−adaptivity for
LES of compressible flows in a high order DG framework, MOX Report 41/2019,
2019
36) L. Bonaventura, A. Della Rocca, Convergence analysis of a cell centered finite volume
diffusion operator on non-orthogonal polyhedral meshes, MOX Report 37/2018, 2018
19
35) C. Bassi, A. Abba, L. Bonaventura, L. Valdettaro, Direct and Large Eddy Simulation
of three-dimensional non-Boussinesq gravity currents with a high order DG method,
MOX Report 24/2018, 2018
34) T. Benacchio, L. Bonaventura, A seamless extension of DG methods for hyperbolic
problems to unbounded domains, MOX Report 23/2018, 2018
33) C. Bassi, A. Abba, L. Bonaventura, L. Valdettaro, A priori tests of a novel LES
approach to compressible variable density turbulence, MOX Report 20/2018, 2018
32) A. Simona, L. Bonaventura, T. Pugnat, B. Dalena, High order time integrators for
the simulation of charged particle motion in magnetic quadrupoles, MOX Report
15/2018, 2018
31) L. Delpopolo Carciopolo, L. Bonaventura, A. Scotti, L. Formaggia, A conservative
implicit multirate method for hyperbolic problems, MOX Report 11/2018, 2018
30) L. Bonaventura, F. Casella, L. Delpopolo Carciopolo, A. Ranade, A self adjusting
multirate algorithm based on the TR-BDF2 method, MOX Report 8/2018, 2018
29) L. Bonaventura, E. D. Fernandez Nieto, J. Garres Diaz, G. Narbona Reina, Multilayer
shallow water models with locally variable number of layers and semi-implicit time
discretization, MOX Report 38/2017, 2017
28) L. Bonaventura, R. Ferretti, L. Rocchi, A fully semi-Lagrangian discretization for the
2D Navier-Stokes equations in the vorticity-streamfunction formulation, MOX Report
27/2017, 2017
27) C. Bassi, A. Abba, L. Bonaventura, L. Valdettaro, Large Eddy Simulation of gravity
currents with a high order DG method, MOX Report 57/2016, 2016
26) M. Tugnoli, A. Abba, L. Bonaventura, M. Restelli, A locally p−adaptive approach
for Large Eddy Simulation of compressible flows in a DG framework, MOX Report
37/2016, 2016
25) L. Bonaventura, A. Della Rocca, Monotonicity, positivity and strong stability of the
TR-BDF2 method and of its SSP extensions, MOX Report 56/2015, 2015
24) L. Bonaventura, Local Exponential Methods: a domain decomposition approach to
exponential time integration of PDEs, MOX Report 24/2015, 2015
23) L. Bonaventura, R. Ferretti, Flux form Semi-Lagrangian methods for parabolic prob-
lems, MOX Report 22/2015, 2015
22) A. Abba, L. Bonaventura, M. Nini, M. Restelli, Anisotropic dynamic models for
Large Eddy Simulation of compressible flows with a high order DG method, MOX
Report36/2014, 2014
21) L. Bonaventura, R. Ferretti, Semi-Lagrangian methods for parabolic problems in
divergence form, MOX Report 19/2014, 2014
20) G. Tumolo, L. Bonaventura, An accurate and efficient numerical framework for adap-
tive numerical weather prediction, MOX Report 18/2014, 2014
19) F. Garcia, L. Bonaventura, M. Net, J. Sanchez, Exponential versus IMEX high-order
time integrators for thermal convection in rotating spherical shells, MOX Report
36/2013, 2013
18) S. Carcano, L. Bonaventura, A. Neri, T. Esposti Ongaro, A second order accurate
numerical model for multiphase underexpanded volcanic jets, MOX Report 50/2012,
2012
20
17) G. Tumolo, L. Bonaventura, M. Restelli, A semi-implicit, semi-Lagrangian, p−adaptive
Discontinuous Galerkin method for the shallow water equations, MOX Report 04/2012,
2012
16) T. Benacchio, L. Bonaventura, A spectral collocation method for the one dimensional
shallow water equations on semi-infinite domains, MOX Report 34/2011, 2011
15) G. Garegnani, G. Rosatti, L. Bonaventura, Mathematical and Numerical Modelling
of Fully Coupled Mobile Bed Free Surface Flows, MOX Report 03/2011, 2011
14) A. Abba, L. Bonaventura, A mimetic finite difference method for Large Eddy Simu-
lation of incompressible flow, MOX Report 34/2010, 2010
13) L. Bonaventura, S. Castruccio, L. M. Sangalli, A Bayesian approach to geostatistical
interpolation with flexible variogram models, MOX Report 21/09, 2009
12) L. Bonaventura, C. Biotto, A. Decoene, L. Mari, E. Miglio, A coupled ecological-
hydrodynamic model for the spatial distribution of sessile aquatic species in thermally
forced basins, MOX Report 02/09, 2009
11) L. Bonaventura, S. Castruccio, P. Crippa, G. Lonati, Geostatistical estimate of PM10
concentrations in Northern Italy: validation of kriging reconstructions with classical
and flexible variogram models, MOX Report 18/08, 2008
10) A. Deponti, L. Bonaventura, G. Rosatti, G. Garegnani, An Accurate and Efficient
Semi-Implicit Method for Section Averaged Free Surface Flow Modelling,MOX Report
12/07, 2007
9) A. Decoene, L. Bonaventura, E. Miglio, F. Saleri, Asymptotic Derivation of the Sec-
tion Averaged Shallow Water Equations for River Hydraulics,Report MOX 16/07,
2007
8) A. Deponti, L. Bonaventura, L. Fraccarollo, E. Miglio, G. Rosatti, Analysis of Hy-
perbolic Systems for Mobile Bed, Free Surface Flow Modelling in Arbitrary Cross
Sections,MOX Report 06/07, 2007
7) A. Abba, L. Bonaventura, A vorticity preserving finite difference discretization for
the incompressible Navier-Stokes equations, MOX Report 83, 2006
6) J. Baudisch, L. Bonaventura, A. Iske, E. Miglio, Matrix valued Radial Basis Functions
for local vector field reconstruction: applications to computational fluid dynamic
models,MOX Report 75, 2006
5) H. Wan, M. Giorgetta, L. Bonaventura, Held-Suarez test with ECHAM5, Berichte
zur Erdsystemforschung,Max Planck Institut fur Meteorologie, N. 20, 2006
4) M. Restelli, L. Bonaventura, R. Sacco, A flux form, semi - Lagrangian method for the
scalar advection equation using Discontinuous Galerkin reconstruction,MOX Report
63,2005
3) E. Roeckner, G. Bauml, L. Bonaventura, R. Brokopf, M. Esch, M. Giorgetta, S. Hage-
mann, L. Kornblueh, U. Schlese. U. Schulzweida, The atmospheric general circulation
model ECHAM5: model description, MPI report n. 349, Max Planck Institut fur Me-
teorologie, 2003
2) L. Bonaventura, A Semi-Implicit, Semi-Lagrangian Scheme for the Compressible Non-
hydrostatic Equations of the Atmosphere, GKSS Research Centre External Report,
GKSS 98/E/12, 1998
21
1) L. Bonaventura, Studio analitico e numerico di un modello di equazioni primitive per
la dinamica atmosferica, UTM PhDTS 1 , N. 5, Universita di Trento, 1995.
• Complete record of teaching activity in Master and Bachelor degree courses:
2018-19/2020-21 Numerical methods for Engineering, Corso di Laurea Specialistica in Ingegneria FIsica,
Politecnico di Milano; Numerical Methods for PDEs, Corso di Laurea specialistica in-
ternazionale in Civil Engineering for Risk Mitigation, Politecnico di Milano.
2017-18 Mathematical methods for Engineering, Corso di Laurea Specialistica in Ingegneria
FIsica, Politecnico di Milano; Numerical Methods for PDEs, Corso di Laurea special-
istica internazionale in Civil Engineering for Risk Mitigation, Politecnico di Milano.
2011-12/2013-14 Advanced numerical methods for large ODE systems, Corso di Dottorato in Modelli
e Metodi Matematici per l’Ingegneria, Politecnico di Milano
2010-11/2016-17 Calcolo Numerico, Corso di Laurea Specialistica in Ingegneria Civile ed Ingegneria
Ambientale, Politecnico di Milano; Numerical Methods for PDEs, Corso di Laurea
specialistica internazionale in Civil Engineering for Risk Mitigation, Politecnico di
Milano.
2008-09/2009-10 Calcolo Numerico, Corso di Laurea Specialistica in Ingegneria Civile ed Ingegneria
Ambientale, Politecnico di Milano; Numerical Analysis, Corso di Laurea specialistica
internazionale in Civil Engineering, Politecnico di Milano.
2007-08 Calcolo Numerico and Modelli numerici per la fluidodinamica ambientale, Corso di
Laurea Specialistica in Ingegneria Civile ed Ingegneria Ambientale, Politecnico di
Milano; Numerical Analysis, Corso di Laurea specialistica internazionale in Civil En-
gineering, Politecnico di Milano.
2006-07 Calcolo Numerico and Modelli numerici per la fluidodinamica ambientale, Corsi di
Laurea Specialistica in Ingegneria Civile ed Ingegneria Ambientale, Politecnico di
Milano.
2005-06 Algebra Lineare e Calcolo Numerico, Corso di Laurea di I livello in Ingegneria Mec-
canica, Politecnico di Milano; esercise sessions in Elementi di Analisi Matematica e
Geometria,Equazioni Differenziali Ordinarie, Corso di Laurea di I livello in Ingegneria
Ambientale, Politecnico di Milano.
2004-05 Calcolo Numerico Corso di Laurea di I livello in Ingegneria Meccanica, Politecnico di
Milano.
2001-02 Analisi Matematica I, Corsi di Lauree di I livello in Ingegneria, Universita di Trento;
Analisi Numerica, Corso di Lauree di I livello in Ingegneria Informatica, Universita di
Trento; exercise sessions in Analisi Matematica I,Analisi Numerica, Corso di Laurea
di I livello in Ingegneria Ambientale, Universita di Trento.
1998-2001 Metodi probabilistici e statistici, Corso di Diploma in Ingegneria Ambientale ed In-
formatica, Universita di Trento; exercise sessions in Analisi Matematica I,Analisi
Matematica II, Corsi di Laurea in Ingegneria, Universita di Trento. Exercise sessions
in Calcolo Numerico, Corso di Laurea in Matematica, Universita di Trento.
1995-97 Exercise sessions in Analisi Matematica I, Analisi Matematica II Corsi di Laurea in
Ingegneria, Universita di Trento.
• PhD theses tutored as main or co-tutor:
22
2019-2022 Giuseppe Orlando, Politecnico di Milano
2016-2019 Abele Simona, Politecnico di Milano
2015-2018 Caterina Bassi, Politecnico di Milano
2013-2018 Alessandro Della Rocca, Politecnico di Milano
2013-2015 Akshay Ranade, Politecnico di Milano
2011-2014 Susanna Carcano, Politecnico di Milano
2008-2010 Giovanni Tumolo, Universita di Trieste
2007-2008 Giulia Garegnani, Universita di Trento
2004-2007 Marco Restelli, Politecnico di Milano
2005-2007 Hui Wan, MPI Hamburg, Germania
2000-2002 Maud Minotte, University of Frankfurt, Germany
• Master theses tutored as main or co-tutor:
2020 Federico Vismara, Laurea Magistrale in Ingegneria Matematica,
Politecnico di Milano
2019 Costanza Agazzi, Laurea Magistrale in Ingegneria Fisica,
Politecnico di Milano
2018 Jeremy Grudnicki, Laurea Magistrale in Civil Engineering for Risk Mitigation,
Politecnico di Milano
2018 Matteo Castellini, Laurea Magistrale in Ingegneria Matematica,
Politecnico di Milano
2017 Francesco L. Romeo, Laurea Magistrale in Ingegneria Matematica,
Politecnico di Milano
2016 Abele Simona, Laurea Magistrale in Ingegneria Matematica,
Politecnico di Milano
2016 Ludovica Delpopolo Carciopolo, Laurea Magistrale in Ingegneria Matematica,
Politecnico di Milano
2016 Paolo Gorlani, Laurea Magistrale in Ingegneria Matematica,
Politecnico di Milano
2015 Lea Boittin, Laurea Magistrale in Civil Engineering for Risk Mitigation,
Politecnico di Milano
2015 Andrea Abbate, Laurea Magistrale in Ingegneria Ambientale,
Politecnico di Milano
2013 Matteo Parnigoni, Laurea Magistrale in Ingegneria Matematica,
Politecnico di Milano
2012 Andrea Abbate, Laurea di I livello in Ingegneria Ambientale,
Politecnico di Milano
2011 Tommaso Benacchio, Laurea Magistrale in Ingegneria Matematica,
Politecnico di Milano
2009 Matteo Parnigoni, Laurea di I livello in Ingegneria Matematica,
Politecnico di Milano
23
2007 Angelo Colbertaldo, Laurea specialistica in Ingegneria Aereospaziale,
Politecnico di Milano
2008 Claudia Giannini, Laurea di I livello in Ingegneria Matematica,
Politecnico di Milano
2007 Stefano Castruccio, Laurea specialistica in Ingegneria Matematica,
Politecnico di Milano
2007 Giulia Garegnani, Laurea specialistica in Ingegneria Matematica,
Politecnico di Milano
2007 Cristian Biotto, Laurea specialistica in Ingegneria Aereospaziale,
Politecnico di Milano
2007 Monica Crippa, Laurea specialistica in Ingegneria Ambientale,
Politecnico di Milano
2007 Paola Crippa, Laurea specialistica in Ingegneria Ambientale,
Politecnico di Milano
2007 Luca Bertoletti, Laurea specialistica in Ingegneria Aereospaziale,
Politecnico di Milano
2007 Armando Cilento, Laurea di I livello in Ingegneria Matematica,
Politecnico di Milano
2005 Stefania Madeo, Laurea di I livello in Ingegneria Matematica,
Politecnico di Milano
2005 Marta Penati, Laurea di I livello in Ingegneria Matematica,
Politecnico di Milano
2001 Daniela Dalmonech, Laurea di I livello in Ingegneria Ambientale,
Universita di Trento
2001 Luca Poli, Laurea in Ingegneria Ambientale,
Universita di Trento
2000 Silvano Erlicher, Laurea in Ingegneria Civile,
Universita di Trento
1999 Stefano Vignoli, Laurea in Ingegneria Ambientale,
Universita di Trento
1999 Giuliano Rizzi, Laurea in Ingegneria Ambientale,
Universita di Trento
1998 Gabriele Rampanelli, Laurea in Ingegneria Ambientale,
Universita di Trento
24
Top Related