Computational Methods in Water Resources (CMWR) is a series of conference dating back to 1976 organized every two years alternatively in America and in Europe. It has continuously promoted interdisciplinary approaches relying on excellence in hydrological sciences, mathematical and computational sciences.

For this XXII edition and in the tradition of CMWR, we propose a broad opening on hydrological and numerical sciences involving physical, chemical and biological processes from pore to continental scales. We especially promote the widest diversity of contributions in the perspective that we are commonly working in “the data to prediction” objective. Targeting such an overarching goal requires key advances in applied mathematics, numerical methods, laboratory experiments and field investigations, as well as in their consistent integration. Complementarity between advanced disciplinary and interdisciplinary researches are expected to be essential for contributing to water resources issues.

CMWR 2018 will present cutting-edge science on modeling in water resources and wishes to address emerging challenges and opportunities to bridge gaps between data, models and predictions. We encourage contributions on broad range of approaches using without limitation

  • Novel computational and mathematical methods in hydrology
  • Advanced uses of numerical methods, simulations and models
  • Emerging imaging techniques and lab experiments for model development and validation
  • Integrated field investigations for improved modelling and prediction relevance
  • New machine learning and big data opportunities in hydrological sciences

We wish to discuss how advances and interactions between these different approaches shed new lights on water resources sciences including

  1. Regional to continental scale surface and groundwater hydrology
  2. Hydroecology, biological processes
  3. Reactive Transport, bio-geochemistry
  4. Pore-scale processes, complex flows and upscaling
  5. Fracture, hydromechanics, induced seismicity
  6. Shallow water, sediment transport and erosion, geomorphology
  7. Observatories, remote sensing, data-driven modeling

Conference will be hosted in Saint Malo (France) at the Palais du Grand Large. Saint Malo is on the Western coast of France accessible from Paris airports by direct train connections. It offers appropriate surroundings to share scientific advances and promote discussions.

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