Special Issue "Applications of Information Theory in the Geosciences"
Deadline for manuscript submissions: closed (31 July 2016)
Prof. Benjamin L. Ruddell
Department of Engineering, College of Technology and Innovation, and Senior Sustainability Scientist, Global Institute of Sustainability, Arizona State University, USA
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Interests: complex systems; information theory; climate and urban microclimate; ecohydrology; water resources; water policy; statistics; engineering ethics; environmental data informatics; engineering education
Information Theory is gaining many new applications in broad areas of Science, particularly the in the domain of Complex Adaptive Systems. These new applications often blend theoretical developments of Information Theory with innovative applications to complex-systems problems in the geosciences. This special issue specifically emphasizes research that addresses Geoscience problems using Information Theory approaches, by introducing a novel development of Information Theory for specific applications, and/or by solving a new Geoscience problem using the tools of Information Theory. Submissions at the boundaries of Information Theory, the Geosciences, and other disciplines are also welcome.
Prof. Benjamin L. Ruddell
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 papers will be 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. Entropy 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 1500 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.
- life science
- complex adaptive systems
- Shannon entropy
- information theory
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Global atmospheric dynamics investigated by using Hilbert frequency analysis
Authors: Dario A. Zappalà, M. Barreiro and C. Masoller
Affiliation: Universitat Politecnica de Catalunya
Abstract: Atmospheric dynamics is studying by using Hilbert instantaneous frequency analysis applied to daily-averaged Surface Air Temperature (SAT) time-series, reanalysis data at a regular grid of points covering the Earth’s surface. The maps of the average frequency reveal well-defined large-scale patterns: while in
the extra-tropics the average frequency in general corresponds to the expected one-year period of solar forcing, in the tropics a different behavior is found, with some tropical regions having faster frequency.
Coherent structures are also found in the maps of the standard deviation of frequency fluctuations, which are located over regions of strong annual precipitation. Our results demonstrate that Hilbert frequencies provide meaningful information about SAT dynamics and can be a valuable tool to gain information about the dynamics of other climate variables.
Title: Reducing model choice uncertainty by collecting most informative data: A rigorous, entropy-based approach to optimal experimental design
Authors: Wolfgang Nowak1 and Anneli Schöniger2
Affiliations: 1 Institute for Modelling Hydraulic and Environmental Systems (LS³)/SimTech, University of Stuttgart, Stuttgart, Germany.
2 Center for Applied Geoscience, University of Tübingen, Tübingen, Germany.