Computational Methods in Water Resources (CMWR) is a series of biannual conferences which, since 1976, alternate between locations in North America and Europe. CMWR is dedicated to nurturing and promotion of cutting-edge interdisciplinary research on quantitative forecasting of hydrological processes, with a special emphasis on mathematical, computational, and statistical methods.
The XXIII edition of CMWR builds upon this long tradition of scientific excellence by providing a venue for dissemination of recent advances in quantitative modeling of hydrologic processes, numerical methods, high-performance computing, multi-scale and multi-physics simulations, inverse modeling, data-driven and data-centric methodologies, uncertainty quantification, etc. Such an interdisciplinary framework is necessary to provide fundamental advances in our ability to forecast the collective behavior physical, chemical, and biological processes affecting water resources in the rapidly changing world.
CMWR 2020 solicits contributions, in the form of oral presentations or posters, in the following broad areas.
- Reactive transport modelling
- Data-centric simulations and modeling
- Computational methods for surface hydrology and ecohydrology
- Multiphysics simulations
- Computational methods for multiphase flows in porous media
- Multiscale simulations and modeling
- Computational models of fractured systems
- Software and high-performance computing
- Decision Support for Water Resource Management
The conference will take place at Stanford University. Located on the West Coast of the USA, in the heart of Silicon Valley, Stanford provides an ideal location to explore ways in which water resources and other environmental problems can benefit from the recent advances in data science, scientific computing, mathematical modeling, and their integration.