Data in Astrophysics and Geophysics: Research and Applications, 3rd Volume

A special issue of Data (ISSN 2306-5729). This special issue belongs to the section "Spatial Data Science and Digital Earth".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 112

Special Issue Editors


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Guest Editor

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Guest Editor

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Guest Editor
Institute of Physics Belgrade, University of Belgrade, 11080 Belgrade, Serbia
Interests: statistical modeling in atmospheric physics; multivariate receptor modeling; ground-based remote sensing for retrieval of the atmospheric composition; aerosol optical properties; aerosol physical and chemical characterization and climatic role; air quality
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Special Issue Information

Dear Colleagues,

The layers of space and Earth are media that are consistently exposed to the influences of numerous perturbations characterized with time- and space-dependent intensity. Therefore, the detection of astrophysical and terrestrial events and their influences, as well as the development and application of various models, must be based on observational data.

The challenges related to data volume, variety, and data flow are similar in astro- and geo-observations. This Special Issue aims to encourage communication among the disciplines by identifying and grouping relevant research solutions. Its goals are to engage a broad community of researchers, both users and contributors, to make new discoveries enabled by the growth of data and technology and to continue the interdisciplinary exchange of ideas and methodologies with other fields.

We would like to invite you to submit articles addressing data collection in astrophysics and geophysics, as well as their acquisition, processing, and management, so that these data can be used by other scientists and data producers. Potential topics include but are not limited to the following:

  • Big data in astrophysics and geophysics;
  • Data processing, visualization, and acquisition;
  • Line profile data;
  • Interstellar spectral data;
  • Atomic and molecular data in astrophysics;
  • Earth observation data;
  • Climate data records;
  • Natural hazards and disasters;
  • Remote sensing.

Prof. Dr. Vladimir Sreckovic
Prof. Dr. Milan S. Dimitrijević
Dr. Zoran Mijic
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Data is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • big data in astrophysics and geophysics
  • data processing, visualization, and acquisition
  • line profile data
  • interstellar spectral data
  • atomic and molecular data in astrophysics
  • earth observation data
  • climate data records
  • natural hazards and disasters
  • satellite observations and atmospheric modeling
  • machine learning in astrophysics and geophysics

Related Special Issues

Published Papers

This special issue is now open for submission.
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