Data for: Transferability of machine/deep learning-based prediction of fluvial flood extent to distinct river sections based on benchmark flood maps and high-resolution spatial data
Potential coastal and riverine flooding in Boston under various sea level rise scenarios (9-inch in 2030s, 21-inch in 2050s, and 36-inch in 2070s) at high tide and in the event of storms with an annua
The Shemya, Alaska Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is...
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS),...
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of...
The Florence, Oregon Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation
