Special Issue "Applications of Information Theory in the Geosciences"

Quicklinks

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory".

Deadline for manuscript submissions: closed (31 July 2016)

Special Issue Editor

Guest Editor
Prof. Benjamin L. Ruddell

Department of Engineering, College of Technology and Innovation, and Senior Sustainability Scientist, Global Institute of Sustainability, Arizona State University, USA
Website: https://technology.asu.edu/index.php?q=directory/818971
Phone: 217-649-5211
Interests: complex systems; information theory; climate and urban microclimate; ecohydrology; water resources; water policy; statistics; engineering ethics; environmental data informatics; engineering education

Special Issue Information

Dear Colleagues,

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
Guest Editor

Submission

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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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 1400 CHF (Swiss Francs).

Keywords

  • geoscience
  • life science
  • physics
  • complex adaptive systems
  • Shannon entropy
  • information theory
  • nonlinearity
  • statistics
  • applications

Published Papers (16 papers)

Download All Papers
Sort by:
Display options:
Select articles Export citation of selected articles as:
Select/unselect all
Displaying article 1-16
n° 303
by , , , ,  and
Entropy 2016, 18(8), 303; doi:10.3390/e18080303
Received: 12 May 2016 / Revised: 10 August 2016 / Accepted: 10 August 2016 / Published: 16 August 2016
Show/Hide Abstract | PDF Full-text (1217 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
abstract graphic
n° 293
by , , ,  and
Entropy 2016, 18(8), 293; doi:10.3390/e18080293
Received: 24 May 2016 / Revised: 29 July 2016 / Accepted: 8 August 2016 / Published: 11 August 2016
Show/Hide Abstract | PDF Full-text (1589 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
abstract graphic
n° 45
by , ,  and
Entropy 2016, 18(2), 45; doi:10.3390/e18020045
Received: 13 September 2015 / Revised: 24 November 2015 / Accepted: 21 January 2016 / Published: 28 January 2016
Show/Hide Abstract | PDF Full-text (5404 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
abstract graphic
n° 25
by  and
Entropy 2016, 18(1), 25; doi:10.3390/e18010025
Received: 29 May 2015 / Revised: 3 December 2015 / Accepted: 5 January 2016 / Published: 13 January 2016
Show/Hide Abstract | Cited by 1 | PDF Full-text (1608 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
p. 6129-6149
by ,  and
Entropy 2015, 17(9), 6129-6149; doi:10.3390/e17096129
Received: 15 June 2015 / Revised: 14 August 2015 / Accepted: 26 August 2015 / Published: 1 September 2015
Show/Hide Abstract | PDF Full-text (796 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
p. 5450-5471
by  and
Entropy 2015, 17(8), 5450-5471; doi:10.3390/e17085450
Received: 18 May 2015 / Revised: 27 July 2015 / Accepted: 28 July 2015 / Published: 31 July 2015
Show/Hide Abstract | PDF Full-text (784 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
p. 2398-2414
by  and
Entropy 2013, 15(6), 2398-2414; doi:10.3390/e15062398
Received: 16 February 2013 / Revised: 3 June 2013 / Accepted: 5 June 2013 / Published: 13 June 2013
Show/Hide Abstract | PDF Full-text (1002 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
p. 2384-2397
by , ,  and
Entropy 2013, 15(6), 2384-2397; doi:10.3390/e15062384
Received: 25 March 2013 / Revised: 7 May 2013 / Accepted: 15 May 2013 / Published: 10 June 2013
Show/Hide Abstract | Cited by 2 | PDF Full-text (2005 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
p. 2023-2045
by , , , , ,  and
Entropy 2013, 15(6), 2023-2045; doi:10.3390/e15062023
Received: 30 January 2013 / Revised: 11 May 2013 / Accepted: 14 May 2013 / Published: 24 May 2013
Show/Hide Abstract | Cited by 23 | PDF Full-text (746 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
abstract graphic
p. 1464-1485
by
Entropy 2013, 15(4), 1464-1485; doi:10.3390/e15041464
Received: 19 February 2013 / Revised: 12 April 2013 / Accepted: 15 April 2013 / Published: 22 April 2013
Show/Hide Abstract | Cited by 2 | PDF Full-text (639 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
abstract graphic
p. 1289-1310
by ,  and
Entropy 2013, 15(4), 1289-1310; doi:10.3390/e15041289
Received: 31 January 2013 / Revised: 27 March 2013 / Accepted: 1 April 2013 / Published: 10 April 2013
Show/Hide Abstract | Cited by 7 | PDF Full-text (1208 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
abstract graphic
p. 1324-1341
by  and
Entropy 2013, 15(4), 1324-1341; doi:10.3390/e15041324
Received: 25 October 2012 / Revised: 22 March 2013 / Accepted: 1 April 2013 / Published: 10 April 2013
Show/Hide Abstract | Cited by 4 | PDF Full-text (1163 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
p. 1221-1231
by ,  and
Entropy 2013, 15(4), 1221-1231; doi:10.3390/e15041221
Received: 1 February 2013 / Revised: 1 April 2013 / Accepted: 2 April 2013 / Published: 8 April 2013
Show/Hide Abstract | Cited by 5 | PDF Full-text (462 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
p. 972-987
by , , ,  and
Entropy 2013, 15(3), 972-987; doi:10.3390/e15030972
Received: 15 January 2013 / Revised: 25 February 2013 / Accepted: 27 February 2013 / Published: 5 March 2013
Show/Hide Abstract | Cited by 5 | PDF Full-text (245 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
p. 606-623
by ,  and
Entropy 2013, 15(2), 606-623; doi:10.3390/e15020606
Received: 1 January 2013 / Revised: 15 January 2013 / Accepted: 29 January 2013 / Published: 6 February 2013
Show/Hide Abstract | Cited by 3 | PDF Full-text (251 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
p. 407-415
by  and
Entropy 2013, 15(1), 407-415; doi:10.3390/e15010407
Received: 28 November 2012 / Revised: 20 December 2012 / Accepted: 14 January 2013 / Published: 22 January 2013
Show/Hide Abstract | Cited by 2 | PDF Full-text (480 KB) | HTML Full-text | XML Full-text
(This article belongs to the Special Issue Applications of Information Theory in the Geosciences)
abstract graphic
Select/unselect all
Displaying article 1-16
Select articles Export citation of selected articles as:

Planned Papers

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.

Last update: 26 May 2015

Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert