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HS1.5

Hydrologic Dynamics, Analytics and Predictability: Physical and Data-based Approaches for Improving Hydrologic Understanding and Prediction
Convener: Rui A. P. Perdigão  | Co-Conveners: Julia Hall , Shaun Harrigan , María José Polo 
Orals
 / Mon, 18 Apr, 13:30–15:00  / Room 2.15
Posters
 / Attendance Mon, 18 Apr, 17:30–19:00  / Hall A
Hydrology is a rich multidisciplinary field encompassing a wealth of processes of diverse nature and scales, ultimately related to the entire dynamics of the Earth System.

Despite the inherent complexity of hydrologic processes, there are core principles that regulate their dynamics. These entail fundamental laws driving a diversity of processes and interactions at the physical, chemical, biological, geological and even societal level.

This session 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 session further encourages discussion on physical and data-based approaches to hydrologic dynamics ranging from the traditional approaches on stochastic analysis and dynamical systems to general frameworks addressing non-ergodic and thermodynamically unstable processes and interactions.

Contributions are welcome from a diverse community in hydrology and the broader geosciences, working with diverse approaches ranging from dynamical modelling to data mining and analysis with physical process understanding in mind.

Ultimately, our goal is to foster a better understanding of the underlying mechanisms behind hydrologic dynamics and improve their predictability. In a nutshell, discussing the order in chaos, the fundamental essence in hydrologic complexity.

The session further aims to nurture synergies and discussions between early career scientists and experts in a multidisciplinary environment.

Invited author: Prof. Naresh Devineni, City University of New York; Associate Director, Center for Water Resources and Environmental Research (City Water Center).
Public information: Hydrology is a rich multidisciplinary field encompassing a wealth of processes of diverse nature and scales, ultimately related to the entire dynamics of the Earth System. Despite the inherent complexity of hydrologic processes, there are core principles that regulate their dynamics. These entail fundamental laws driving a diversity of processes and interactions at the physical, chemical, biological, geological and even societal level.

This session 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 session further encompasses discussion on physical and data-based approaches to hydrologic dynamics ranging from the traditional approaches on stochastic analysis and dynamical systems to general frameworks addressing non-ergodic and thermodynamically unstable processes and interactions.

Contributions stem from a diverse community in hydrology and the broader geosciences, working with diverse approaches ranging from dynamical modelling to data mining and analysis with physical process understanding in mind.

Ultimately, the session aims to foster a better understanding of the underlying mechanisms behind hydrologic dynamics and improve their predictability. In a nutshell, discussing the order in chaos, the fundamental essence in hydrologic complexity.