Abstract: Realtime Prediction in Disturbed Landscapes: Identifying Highest Priority Disturbance Characteristics Impacting Streamflow Response in a CONUS-Scale Operational Model (2015 AGU Fall Meeting)

Realtime Prediction in Disturbed Landscapes: Identifying Highest Priority Disturbance Characteristics Impacting Streamflow Response in a CONUS-Scale Operational Model

Aubrey L Dugger¹, David J Gochis², Wei Yu³, James L McCreight² and Michael J Barlage⁴, (1)National Center for Atmospheric Research, Boulder, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)Weather Tech Services, LLC, Boulder, CO, United States, (4)NCAR/RAL, Boulder, United States

Back to: Disturbance Hydrology: Assessing the Impacts of Abrupt Landscape Changes on Watershed Hydrology III