This is a flood modeling project that was conducted during the 2016 NOAA-National Water Center Innovator Program. Various low-complexity flood inundation mapping tools have been developed recently as
This study introduces a time-lag-informed Random Forest (RF) framework for streamflow time series prediction across diverse catchments, and compares its results against SWAT predictions. We found stro
This micro data set contains stable isoptope data for water samples taken from Lake Chad. Although it is not part of the core monitoring program, it is potentially important.