Session Proposal: Earth System Dynamics, Complexity, and Predictability: Physical and Analytical Approaches Bridging the Geosciences I (2016 AGU Fall Meeting)

NG32A:
Earth System Dynamics, Complexity, and Predictability: Physical and Analytical Approaches Bridging the Geosciences I

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Session ID#: 15918

Session Description:

Our planet is a complex dynamical system involving a coherent diversity of processes and interactions across spatio-temporal scales.

Albeit its dynamical complexity, core physical principles regulate individual and cooperative geophysical processes and interactions, ultimately relating to the overall system dynamics.

This session focuses on advances in methodological, theoretical and applied studies in earth system dynamics, eliciting its regimes, transitions and extremes, along with their physical understanding, predictability and uncertainty. Moreover, it welcomes research on dynamical co-evolution, feedbacks and synergies among earth system processes at multiple scales.

The session further encourages discussion on mathematical and physical approaches to earth system dynamics, ranging from traditional stochastic-dynamic and information-theoretic formulations to emerging methodologies taking aim at far-from-equilibrium processes in non-ergodic systems.

Contributions are welcome from a diverse community in the broader mathematical and physical geosciences, working with diverse approaches ranging from dynamical modelling to data mining and analysis grounded on fundamental physical principles.

Primary Convener: Rui A.P. Perdigão, Meteoceanics Institute for Complex System Science, North Atlantic Climate Centre, Lisbon, Portugal

Convener: Julia Hall, Vienna University of Technology (TU Wien), Institute of Hydraulic Engineering, Vienna, Austria

Chairs: Rui A.P. Perdigão, Meteoceanics Institute for Complex System Science, North Atlantic Climate Centre, Lisbon, Portugal and Julia Hall, Vienna University of Technology (TU Wien), Institute of Hydraulic Engineering, Vienna, Austria

OSPA Liaison: Rui A.P. Perdigão, Meteoceanics Institute for Complex System Science, North Atlantic Climate Centre, Lisbon, Portugal

Cross-Listed:

A - Atmospheric Sciences
GC - Global Environmental Change
H - Hydrology
NH - Natural Hazards

Proposed Co-Organized Session with:

H - Hydrology

Index Terms:

3238 Prediction [MATHEMATICAL GEOPHYSICS]
4410 Bifurcations and attractors [NONLINEAR GEOPHYSICS]
4430 Complex systems [NONLINEAR GEOPHYSICS]
9820 Techniques applicable in three or more fields [GENERAL OR MISCELLANEOUS]

Abstracts Submitted to this Session:

How to Make Our Models More Physically-based (Invited) (140927)

Hubert H G Savenije, Delft University of Technology, Delft, Netherlands

Simulation of an Extreme Off Season Rainy Event over Senegal Using WRF ARW Model: A focus on dynamic, thermodynamic processes and predictability (127628)

Abdoulaye Sarr, Cheikh Anta Diop University, Dakar, Senegal

Structure and Dynamics of Floods in the upper Delaware River Basin: An Integrated Seasonal Forecasting System for New York City Reservoirs (137342)

Dr. Nasser Najibi, CUNY City College of New York, New York, NY, United States and Naresh Devineni, CUNY City College of New York, Department of Civil Engineering, New York, NY, United States

Temporal Information Partition Networks (TIPNets): A Process Network Framework to Reveal Eco-Hydrologic Feedbacks, Responses and Shifts (151009)

Allison Eva Goodwell, Prairie Research Institute at University of Illinois at Urbana-Champaign, Illinois State Water Survey, Champaign, United States and Praveen Kumar, University of Illinois at Urbana Champaign, Urbana, United States

Finding Positive Feedback Loops in Environmental Models: A Mathematical Investigation (160577)

Razi Sheikholeslami, Sharif University of Technology, Department of Civil Engineering, Tehran, Iran and Saman Razavi, University of Saskatchewan, Global Institute for Water Security, Saskatoon, SK, Canada

The importance of stochasticity and internal variability in geomorphic erosion system (171863)

Jongho Kim, Sejong University, Department of Civil and Environmental Engineering, Seoul, Korea, Republic of (South), Valeriy Yu Ivanov, University of Michigan Ann Arbor, Ann Arbor, MI, United States and Simone Fatichi, ETH Zurich, Institute of Environmental Engineering, Zurich, Switzerland