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  1. Article ; Online: Book Review

    Tommaso Alberti

    Frontiers in Climate, Vol

    Weather, Macroweather, and the Climate: Our Random Yet Predictable Atmosphere

    2021  Volume 3

    Keywords Environmental sciences ; GE1-350
    Language English
    Publishing date 2021-04-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article: L'Hospidale de' Pazzi Incurabili di Tommaso Garzoni da Bagnacavallo, 1549-1589.

    ALBERTI, G

    Minerva medica

    1953  Volume 44, Issue 16, Page(s) Varia, 278–80

    Title translation Hospital for patients with incurable mental disorders named after Tommaso Garzoni of Bagnacavallo, 1549-1589.
    MeSH term(s) Hospitals/history ; Humans ; Mental Disorders
    Language Italian
    Publishing date 1953-02-24
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 123586-2
    ISSN 1827-1669 ; 0026-4806
    ISSN (online) 1827-1669
    ISSN 0026-4806
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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  3. Article ; Online: Author Correction: Dynamical diagnostic of extreme events in Venice lagoon and their mitigation with the MoSE.

    Alberti, Tommaso / Anzidei, Marco / Faranda, Davide / Vecchio, Antonio / Favaro, Marco / Papa, Alvise

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 13615

    Language English
    Publishing date 2023-08-21
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-40476-z
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  4. Article ; Online: Attributing Venice Acqua Alta events to a changing climate and evaluating the efficacy of MoSE adaptation strategy

    Davide Faranda / Mireia Ginesta / Tommaso Alberti / Erika Coppola / Marco Anzidei

    npj Climate and Atmospheric Science, Vol 6, Iss 1, Pp 1-

    2023  Volume 8

    Abstract: Abstract We use analogues of atmospheric patterns to investigate changes in four devastating Acqua Alta (flooding) events in the lagoon of Venice associated with intense Mediterranean cyclones occurred in 1966, 2008, 2018 and 2019. Our results provide ... ...

    Abstract Abstract We use analogues of atmospheric patterns to investigate changes in four devastating Acqua Alta (flooding) events in the lagoon of Venice associated with intense Mediterranean cyclones occurred in 1966, 2008, 2018 and 2019. Our results provide evidence that changes in atmospheric circulation, although not necessarily only anthropogenically driven, are linked to the severity of these events. We also evaluate the cost and benefit of the MoSE system, which was designed to protect against flooding. Our analysis shows that the MoSE has already provided protection against analogues of the most extreme event, which occurred in 1966. These findings have significant implications for the future of Venice and other coastal cities facing similar challenges from rising sea levels due to extreme events. This study also provides a pathway to evaluate the effectiveness of adaptation in a scenario more frequent and intense extreme events if higher global warming levels will be reached.
    Keywords Environmental sciences ; GE1-350 ; Meteorology. Climatology ; QC851-999
    Subject code 333
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Unveiling the Core Patterns of High-Latitude Electron Density Distribution at Swarm Altitude

    Giulia Lovati / Paola De Michelis / Tommaso Alberti / Giuseppe Consolini

    Remote Sensing, Vol 15, Iss 4550, p

    2023  Volume 4550

    Abstract: The ionosphere has distinctive characteristics under different solar and geomagnetic conditions, as well as throughout the seasons, and has a direct impact on our technological life in terms of radio communication and satellite navigation systems. In the ...

    Abstract The ionosphere has distinctive characteristics under different solar and geomagnetic conditions, as well as throughout the seasons, and has a direct impact on our technological life in terms of radio communication and satellite navigation systems. In the pursuit of developing highly accurate ionospheric models and/or improving existing ones, understanding the various physical mechanisms that influence electron density dynamics is critical. In this study, we apply the Multivariate Empirical Mode Decomposition (MEMD) method to the electron density distribution in the mid-to-high latitude (above 50 <semantics> ° </semantics> magnetic latitude) regions in order to identify the dominant scales at which these mechanisms operate. The data were collected by the Swarm mission in the Northern Hemisphere. MEMD allows us to separate the main intrinsic modes and assess their relative contributions to the original one, thereby identifying the most important modes and the spatial scales at which they exert influence. Our study spanned the period from 1 January 2016 to 31 December 2021, which was characterized by low solar activity levels. This choice allowed for a more focused investigation of other variables influencing electron density distribution under similar solar activity conditions. We specifically examined the variations of the resulting modes in relation to different seasons and geomagnetic activity conditions, providing valuable insights into the complex behavior of the ionosphere in response to various external factors.
    Keywords Multivariate Empirical Mode Decomposition ; electron density distribution ; Swarm satellites ; high-latitude ionosphere ; seasonal and geomagnetic variability ; Science ; Q
    Subject code 550
    Language English
    Publishing date 2023-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: On the uncertainty of real-time predictions of epidemic growths: A COVID-19 case study for China and Italy.

    Alberti, Tommaso / Faranda, Davide

    Communications in nonlinear science & numerical simulation

    2020  Volume 90, Page(s) 105372

    Abstract: While COVID-19 is rapidly propagating around the globe, the need for providing real-time forecasts of the epidemics pushes fits of dynamical and statistical models to available data beyond their capabilities. Here we focus on statistical predictions of ... ...

    Abstract While COVID-19 is rapidly propagating around the globe, the need for providing real-time forecasts of the epidemics pushes fits of dynamical and statistical models to available data beyond their capabilities. Here we focus on statistical predictions of COVID-19 infections performed by fitting asymptotic distributions to actual data. By taking as a case-study the epidemic evolution of total COVID-19 infections in Chinese provinces and Italian regions, we find that predictions are characterized by large uncertainties at the early stages of the epidemic growth. Those uncertainties significantly reduce after the epidemics peak is reached. Differences in the uncertainty of the forecasts at a regional level can be used to highlight the delay in the spread of the virus. Our results warn that long term extrapolation of epidemics counts must be handled with extreme care as they crucially depend not only on the quality of data, but also on the stage of the epidemics, due to the intrinsically non-linear nature of the underlying dynamics. These results suggest that real-time epidemiological projections should include wide uncertainty ranges and urge for the needs of compiling high-quality datasets of infections counts, including asymptomatic patients.
    Keywords covid19
    Language English
    Publishing date 2020-06-01
    Publishing country China
    Document type Journal Article
    ISSN 1007-5704
    ISSN 1007-5704
    DOI 10.1016/j.cnsns.2020.105372
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Modeling the second wave of COVID-19 infections in France and Italy via a stochastic SEIR model.

    Faranda, Davide / Alberti, Tommaso

    Chaos (Woodbury, N.Y.)

    2020  Volume 30, Issue 11, Page(s) 111101

    Abstract: COVID-19 has forced quarantine measures in several countries across the world. These measures have proven to be effective in significantly reducing the prevalence of the virus. To date, no effective treatment or vaccine is available. In the effort of ... ...

    Abstract COVID-19 has forced quarantine measures in several countries across the world. These measures have proven to be effective in significantly reducing the prevalence of the virus. To date, no effective treatment or vaccine is available. In the effort of preserving both public health and the economical and social textures, France and Italy governments have partially released lockdown measures. Here, we extrapolate the long-term behavior of the epidemic in both countries using a susceptible-exposed-infected-recovered model, where parameters are stochastically perturbed with a lognormal distribution to handle the uncertainty in the estimates of COVID-19 prevalence and to simulate the presence of super-spreaders. Our results suggest that uncertainties in both parameters and initial conditions rapidly propagate in the model and can result in different outcomes of the epidemic leading or not to a second wave of infections. Furthermore, the presence of super-spreaders adds instability to the dynamics, making the control of the epidemic more difficult. Using actual knowledge, asymptotic estimates of COVID-19 prevalence can fluctuate of the order of 10×10
    MeSH term(s) COVID-19/epidemiology ; COVID-19/transmission ; Disease Susceptibility/epidemiology ; Female ; France/epidemiology ; Humans ; Italy/epidemiology ; Male ; Pandemics ; SARS-CoV-2 ; Stochastic Processes ; Time Factors ; Uncertainty
    Language English
    Publishing date 2020-11-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1472677-4
    ISSN 1089-7682 ; 1054-1500
    ISSN (online) 1089-7682
    ISSN 1054-1500
    DOI 10.1063/5.0015943
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  8. Article ; Online: Dynamical diagnostic of extreme events in Venice lagoon and their mitigation with the MoSE.

    Alberti, Tommaso / Anzidei, Marco / Faranda, Davide / Vecchio, Antonio / Favaro, Marco / Papa, Alvise

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 10475

    Abstract: Extreme events are becoming more frequent due to anthropogenic climate change, posing serious concerns on societal and economic impacts and asking for mitigating strategies, as for Venice. Here we proposed a dynamical diagnostic of Extreme Sea Level (ESL) ...

    Abstract Extreme events are becoming more frequent due to anthropogenic climate change, posing serious concerns on societal and economic impacts and asking for mitigating strategies, as for Venice. Here we proposed a dynamical diagnostic of Extreme Sea Level (ESL) events in the Venice lagoon by using two indicators based on combining extreme value theory and dynamical systems: the instantaneous dimension and the inverse persistence. We show that the latter allows us to localize ESL events with respect to sea level fluctuations around the astronomical tide, while the former informs us on the role of active processes across the lagoon and specifically on the constructive interference of atmospheric contributions with the astronomical tide. We further examined the capability of the MoSE (Experimental Electromechanical Module), a safeguarding system recently put into operation, in mitigating extreme flooding events in relation with the values of the two dynamical indicators. We show that the MoSE acts on the inverse persistence in reducing/controlling the amplitude of sea level fluctuation and provide a valuable support for mitigating ESL events if operating, in a full operational mode, at least several hours before the occurrence an event.
    Language English
    Publishing date 2023-06-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-36816-8
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  9. Article ; Online: Local dimensionality and inverse persistence analysis of atmospheric turbulence in the stable boundary layer.

    Carbone, Francesco / Alberti, Tommaso / Faranda, Davide / Telloni, Daniele / Consolini, Giuseppe / Sorriso-Valvo, Luca

    Physical review. E

    2023  Volume 106, Issue 6-1, Page(s) 64211

    Abstract: The dynamics across different scales in the stable atmospheric boundary layer has been investigated by means of two metrics, based on instantaneous fractal dimensions and grounded in dynamical systems theory. The wind velocity fluctuations obtained from ... ...

    Abstract The dynamics across different scales in the stable atmospheric boundary layer has been investigated by means of two metrics, based on instantaneous fractal dimensions and grounded in dynamical systems theory. The wind velocity fluctuations obtained from data collected during the Cooperative Atmosphere-Surface Exchange Study-1999 experiment were analyzed to provide a local (in terms of scales) and an instantaneous (in terms of time) description of the fractal properties and predictability of the system. By analyzing the phase-space projections of the continuous turbulent, intermittent, and radiative regimes, a progressive transformation, characterized by the emergence of multiple low-dimensional clusters embedded in a high-dimensional shell and a two-lobe mirror symmetrical structure of the inverse persistence, have been found. The phase space becomes increasingly complex and anisotropic as the turbulent fluctuations become uncorrelated. The phase space is characterized by a three-dimensional structure for the continuous turbulent samples in a range of scales compatible with the inertial subrange, where the phase-space-filling turbulent fluctuations dominate the dynamics, and is low dimensional in the other regimes. Moreover, lower-dimensional structures present a stronger persistence than the higher-dimensional structures. Eventually, all samples recover a three-dimensional structure and higher persistence level at large scales, far from the inertial subrange. The two metrics obtained in the analysis can be considered as proxies for the decorrelation time and the local anisotropy in the turbulent flow.
    MeSH term(s) Anisotropy ; Fractals ; Systems Theory
    Language English
    Publishing date 2023-01-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2844562-4
    ISSN 2470-0053 ; 2470-0045
    ISSN (online) 2470-0053
    ISSN 2470-0045
    DOI 10.1103/PhysRevE.106.064211
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Chaos and Predictability in Ionospheric Time Series.

    Materassi, Massimo / Alberti, Tommaso / Migoya-Orué, Yenca / Radicella, Sandro Maria / Consolini, Giuseppe

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 2

    Abstract: Modelling the Earth's ionosphere is a big challenge, due to the complexity of the system. Different first principle models have been developed over the last 50 years, based on ionospheric physics and chemistry, mostly controlled by Space Weather ... ...

    Abstract Modelling the Earth's ionosphere is a big challenge, due to the complexity of the system. Different first principle models have been developed over the last 50 years, based on ionospheric physics and chemistry, mostly controlled by Space Weather conditions. However, it is not understood in depth if the residual or mismodelled component of the ionosphere's behaviour is predictable in principle as a simple dynamical system, or is conversely so chaotic to be practically stochastic. Working on an ionospheric quantity very popular in aeronomy, we here suggest data analysis techniques to deal with the question of how chaotic and how predictable the local ionosphere's behaviour is. In particular, we calculate the correlation dimension D2 and the Kolmogorov entropy rate K2 for two one-year long time series of data of vertical total electron content (vTEC), collected on the top of the mid-latitude GNSS station of Matera (Italy), one for the year of Solar Maximum 2001 and one for the year of Solar Minimum 2008. The quantity D2 is a proxy of the degree of chaos and dynamical complexity. K2 measures the speed of destruction of the time-shifted self-mutual information of the signal, so that K2-1 is a sort of maximum time horizon for predictability. The analysis of the D2 and K2 for the vTEC time series allows to give a measure of chaos and predictability of the Earth's ionosphere, expected to limit any claim of prediction capacity of any model. The results reported here are preliminary, and must be intended only to demonstrate how the application of the analysis of these quantities to the ionospheric variability is feasible, and with a reasonable output.
    Language English
    Publishing date 2023-02-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e25020368
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