The SPoRT Land Information System as a Tool for Assessing Areal/River Flooding Threat (182)
Kristopher D. White, NOAA/National Weather Service/NASA Short-term Prediction Research and Transition (SPoRT) Center, Huntsville, AL
Jonathan L. Case, ENSCO, Inc./SPoRT Center
Christopher Hain, NASA/Marshall Space Flight Center/SPoRT Center
Michelle Amin, NOAA/NWS
The Weather Forecast Office (WFO) in Huntsville, Alabama has played host to a number of experimental remote-sensing products and model data sets since 2002 thanks to a partnership with the NASA Short-term Prediction Research and Transition (SPoRT) Center. One such data set is the SPoRT-Land Information System (SPoRT-LIS), a real-time configuration of the Noah land surface model within the NASA Land Information System framework. It is updated four times daily with hourly temporal and ~3-km spatial resolution. SPoRT-LIS data were initially utilized for drought monitoring and local Weather Research and Forecast model initialization. These data were successfully ingested into AWIPS II in 2011, permitting subjective pattern recognition for flooding events. This presentation will outline a project to obtain a more robust, objective data set for flood threat assessment on select tributary basins of the Tennessee River.
SPoRT-LIS relative soil moisture output at several levels will be utilized for initial analysis for the cold season (November through April), over four specific Tennessee River tributaries with USGS streamflow measurements. For the first phase of this project, we envision performing a multiple-linear regression spanning 10 years on drainage basin rainfall estimates, relative soil moisture (predictors) and resulting basin streamflow (predictand). Because streamflow forecasts from the Lower Mississippi River Forecast Center do not incorporate quantitative precipitation forecasts beyond 24 hours (sometimes longer if coordinated with local WFOs), this statistical model will focus on the period beyond Day One for the assessment of flood risk along the select Tennessee River tributaries. Areas at significant risk for flooding will be plotted in the Graphical Forecast Editor to enhance forecaster situational awareness and for impact-based decision support services.