From Cores to Code: Data-Model Integration to Improve Reconstructions and Forecasts of Coastal Change
From Cores to Code: Data-Model Integration to Improve Reconstructions and Forecasts of Coastal Change
Session ID#: 122976
Session Description:
Coastal communities are prone to a range of geohazards, including sea-level rise, storms, subsidence, earthquakes and tsunamis. Improving our ability to forecast coastal response to driving mechanisms enables more effective decision-making about how best to manage the coastal zone. Accurate forecasts of coastal change are best achieved by combining geological field and laboratory data with predictive numerical models. However, coastal geologists and numerical modellers often approach the issue in different and not always complementary ways. We welcome abstracts that address this challenge through integration of stratigraphic data and/or direct observations of coastal change with numerical models to fore- and hind-cast coastal behaviour in response to drivers that operate over a range of spatio-temporal scales. Example topics include coastal morphodynamics, sea-level change, coastal hazards (storms, earthquakes, and tsunamis), and statistical approaches leading to an enhanced understanding of geological datasets. This session is a contribution to IGCP Project 725: Forecasting Coastal Change.
Index Terms:
1641 Sea level change [GLOBAL CHANGE]
1824 Geomorphology: general [HYDROLOGY]
4304 Oceanic [NATURAL HAZARDS]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
Primary Convener: Matthew Brain, Durham University, Department of Geography, Durham, United Kingdom
Conveners: Jessica Pilarczyk, Simon Fraser University, Burnaby, Canada and Christopher J Hein, Virginia Institute of Marine Science, Gloucester Point, VA, United States
Primary Liaison: Matthew Brain, Durham University, Department of Geography, Durham, United Kingdom
See more of: Earth and Planetary Surface Processes