Frontiers in Hydrologic Dynamics, Analytics and Predictability
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: closed (30 December 2022) | Viewed by 3025
Special Issue Editors
Interests: physics of complex systems; information theory; nonlinear statistical physics; nonlinear dynamics; nonlinear statistics; fluid dynamical systems; climate dynamics; earth system dynamics; nonlinear geophysics; atmospheric physics
Special Issues, Collections and Topics in MDPI journals
Interests: hydro-climatology; hydrologic processes; water resources; geo-ecology; big data analytics; climate–ecosystem–society interactions; extreme events and natural hazards; flood regime changes; climate change and sustainable development
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Hydrology is a rich multidisciplinary field encompassing a complex process network involving interactions of diverse nature and scales. Still, it abides by the core dynamical principles regulating individual and cooperative processes and interactions, ultimately relating to the overall Earth system dynamics. This Special Issue focuses on advances in theoretical and applied studies in hydrologic dynamics, regimes, transitions, and extremes, along with their physical understanding, predictability, and uncertainty. Moreover, it welcomes research on dynamical co-evolution, feedbacks, and synergies among hydrologic and other Earth system processes at multiple spatiotemporal scales. The Special Issue further encourages a discussion on the physical and analytical approaches to hydrologic dynamics, ranging from stochastic, computational, and system dynamic analysis to more general frameworks addressing non-ergodic and thermodynamically unstable processes and interactions.
Contributions are welcome from a diverse community across the Earth system sciences, working with diverse approaches ranging from dynamical modeling to data mining, machine learning, and analysis, with a physical understanding in mind.
Prof. Dr. Rui A. P. Perdigão
Dr. Julia Hall
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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
- Complex systems
- Multiscale Earth system dynamics
- Hydrologic processes
- Ecohydrology
- Hydroclimatology
- Big data analytics
- Spatiotemporal patterns
- Machine learning
- Nonlinear dynamic modeling
- Information physics
