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Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

Lopez Garcia, OscarAuthorGallego Castillo, Cristobal JoseAuthorAvila Sanchez, SergioAuthorCuerva Tejero, AlvaroAuthorElagamy M, Gallego-Castillo C, Cuerva-Tejero A, Lopez-Garcia O, Avila-Sanchez SAuthor

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April 8, 2024
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Proceedings Paper
Bronze

Restricted autoregressive models for synthetic generation of stationary homogeneous isotropic turbulence. A methodology based on multi-point spectrum fitting

Publicated to: AIP Conference Proceedings. 3030 (1): - 2024-03-14 3030(1), DOI: 10.1063/5.0193555

Authors:

Elagamy M; Gallego-Castillo C; Cuerva-Tejero A; Lopez-Garcia O; Avila-Sanchez S
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Affiliations

Universidad Politécnica de Madrid - Author

Abstract

An approach to obtain autoregressive models for generating synthetic time series in a single point with a pre-defined von Kármán spectrum is presented. Statistical stationarity is assumed. Under the premise of the proposed approach a theoretical expression for the power spectral density of the autoregressive model is used to obtain the regression coefficients. This approach is proposed to avoid the aliasing effect which may appear when the autoregressive model is obtained to reproduce a given target autocovariance function. A genetic algorithm is used to achieve an optimal autoregressive model. This approach is compared to the approach proposed by Gallego-Castillo et al. where the autocovariance function of the von kármán model is employed as a target. The theoretical autoregressive spectrum obtained using the proposed approach is not affected by aliasing effect, however, it can also present overestimation of the spectrum values at high frequencies in certain circumstances explained in the present work. The proposed approach could facilitate the use of autoregressive models to generate synthetic wind velocity time series when the target statistical information is defined in the frequency domain, as it is the usual case with atmospheric turbulence models.
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Keywords

Climate action

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal AIP Conference Proceedings, Q4 Agency Scopus (SJR), its regional focus and specialization in Physics and Astronomy (Miscellaneous), give it significant recognition in a specific niche of scientific knowledge at an international level.

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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-27:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 1 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/86745/
Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 13 - Climate Action, with a probability of 62% according to the mBERT algorithm developed by Aurora University.
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (ELAGAMY, MOHANAD) .

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