MeetingOfInterest:Meeting-346
Deadlines
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This conference will explore how field-based process understanding is integrated into high-resolution, spatially extensive models. The predictions of such models essentially represent a conjecture of how hypothesized catchment processes are integrated at river basin to continental scales. The conference will also explore how these processes change in a non-stationary environment. High-resolution land-surface data (e.g. DEMs, land cover, stream networks) coupled with high-performance computing have enabled initial development of such models which tend to focus on physical processes, but challenges remain to develop comparable data sets for the subsurface (e.g. mineralogy, hydraulic properties), and how to best capture the state of the art in our understanding of hydrology, biology, ecology and geochemistry.
Conference sessions will consider the interplay between hypotheses, field observations, and models: How have "big data" techniques, such as data mining and pattern identification, impacted catchment science? Have high frequency sensor data provided new insights into hydrologic and biogeochemical processes?