MeetingOfInterest:Meeting-276
Boulder Colorado, United States
22 - 24 May 2018
This is a CSDMS related meeting
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Deadlines
Abstract submission: The abstract submission deadline has passed Registration: Registration is now closed
Official website
Meeting contact
Meeting related to
CSDMS annual
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- April 1st: Deadline abstract submission, discounted early registration and meeting supported hotel reservations. After this deadline, reservations and accommodation costs will be responsibility of participant.
- May 14th: Deadline regular registration. Notice additional costs do apply.
Natural hazards impact thousands of people every year; floods, droughts, extreme storms, landslides, wildfires, permafrost erosion all change the Earth's surface and inflict tremendous damage to human infrastructure. Most often, humans respond to disasters "after the fact" and a paradigm shift is needed to a strategy of resilience that would provide a way to reduce vulnerability to disasters and their impacts before they occur. Numerical models of earth surface processes are one tool to simulate natural hazards and provide quantitative pre-event risk assessment. Yet, such assessments are only appropriate if the models capture all important physical processes, when the models are tested and well-vetted, when they are useable and proven accurate. This workshop aims to identify what are critical missing components in our ability to provide better assessment of earth surface change in face of natural hazards. The meeting will bring together experts in earth surface process modeling in a three-day hands-on workshop to identify shortcomings in our current natural hazard process understanding, both fundamentally in the earth surface processes as well as in the modeling approaches and technology. The workshop aims to improve natural hazard modeling for risk assessment, with a special focus on building a next-generation cyberinfrastructure and a community of modern modeling and data analysis practice, including high performance computing techniques.
CSDMS annual
