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Patrick Broxton (University of Arizona) Michael Schaffner (National Weather Service) Peter Troch (University of Arizona) Dave Goodrich (USDA–ARS–SWRC)

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Presentation on theme: "Patrick Broxton (University of Arizona) Michael Schaffner (National Weather Service) Peter Troch (University of Arizona) Dave Goodrich (USDA–ARS–SWRC)"— Presentation transcript:

1 Patrick Broxton (University of Arizona) Michael Schaffner (National Weather Service) Peter Troch (University of Arizona) Dave Goodrich (USDA–ARS–SWRC) Carl Unkrich (USDA–ARS–SWRC) Development of a Distributed All-Season Flash-Flood Forecasting System 1 Sixth Southwest Hydrometeorology Symposium September 28, 2011

2 Goals of current efforts - Process based - Distributed - Continuous - Easily Calibrated - Develop a modeling system to account for overland flow, catchment wetness, and snow Improve upon existing Flood and Flash Flood Forecasting Models Introduction

3 Leverages the KINEROS and SM-HSB models - Both models are distributed with high spatial and temporal resolutions - KINEROS is an event model that describes overland flow and channel routing (Kinematic Wave Routing) - SM-hsB is a continuous model that describes snow (Energy Balance Model), soil moisture (Root Zone Model), and subsurface flow (hillslope-Boussinesq Model) Shortwave Radiation Longwave Radiation Snow Runoff Channel Routing Precipitation Evapotranspiration Canopy Interception Infiltration Baseflow Model Description - Baseflow, runoff (infiltration excess and saturation excess) from SM-hsB are routed using KINEROS

4 - Distributed as standalone, freely distributable, executables (created using Matlab Compiler Runtime) to perform the following: Programming in Matlab (HSB) and Fortran (KINEROS) Visualize Results Real-Time Modeling Process Spatial Data 1) Assimilate Past Hydrometeorologic Data 2) Calibrate Model 1) Assimilate Real-Time Data 2) Run Real-Time Model Past Simulations for Calibration/ Evaluation As a webpage As timeseries’ of model states Model Description KINEROS/SM-hsB is more than just a model, but an integrated system that ingests data, runs the KINEROS and hsB models, and visualizes results

5 Processing Spatial Data Delaware River Walton Delaware River Delhi Town Brook East Brook Platte Kill -75.25 -75.125-75.00-74.875-74.625-74.75-74.50 -42.125 -42.25 -42.50 -42.375 Longitude (deg) Latitude (deg) Legend Delineated Stream Watershed Boundary Delineated Hillslope Model Grid Cell USGS Stream Gauge Model has been set up to run in the W. Br. Delaware Basin, located in the Catskill Mountains of southeastern New York Spatial Data from USGS: - DEM - Canopy Coverage Map - Vegetation Type Map - Impervious Surface Map Spatial Data from NRCS: - SSRUGO soils map GIS Preprocessing - Slope Map - Aspect Map - Locations of WSR-88D Radar Bins - Watershed Discretization (AGWA) Spatial data is either downloaded from the internet (e.g. DEM), generated using GIS (e.g. aspect map), or generated within KINEROS/SM-hsB (e.g. weighting scheme to go back and fourth between grid cells and hillslopes) Automated Geospatial Watershed Assessment Tool used to discretize watersheds

6 Past Simulations for Calibration/ Evaluation Forcing data is from the National Land Data Assimilation System (NLDAS) and the Multisensor Precipitation Estimator (MPE). - NLDAS provides Temperature, Pressure, Incoming Radiation (Shortwave + Longwave), Precipitation Estimates, humidity at 1/8 degree. Derived from NARR reanalysis, Bias corrected radiation, gauge-only precipitation - MPE provides precipitation estimates using gauge + radar data on 4 km grid USGS Streamflow data to validate KINEROS/SM-hsB discharge estimates Snow water equivalent (SWE) estimates from the Snow Data Assimilation System (optional) to compare to snow model. - SNODAS data combines model estimates with ground, airborne, and satellite measurements of snow

7 Past Simulations for Calibration/ Evaluation Calibration occurs in various steps - Automated baseflow analysis - Subsequent calibration of snow, radiation, evapotranspiration, infiltration, and runoff parameters involves changing parameters a few at a time and iterating (optionally fully automatic, manual, or a combination of both). Down- Slope 01020304050 10 -2 10 -1 10 0 10 1 10 2 10 3 10 4 Effective Time Deep Aquifer Baseflow (mm/day) HSB Aquifer Aquifer Height/Unit Storage Catchment Width 3000 km 5.0 mm - Automated calibration of HSB model (to find characteristic response, which is applied to each pixel in a watershed individually) Calibration PeriodEvaluation Period SummerWinterSummerWinter Delaware River (Walton)0.870.730.580.59 Delaware River (Delhi)0.830.650.640.50 Platte Kill0.680.60 0.49 East Brook 0.730.74 0.610. 56 Town Brook 0.680.51 0.65 0.42 020406080100120140160180200 020406080100120140160180200 0 30 60 90 0 50 100 150 200 250 0 50 100 Day of Simulation Aquifer Height (mm) Aquifer Storage (mm) 75 th Percentile HSB 50 th Percentile HSB 25 th Percentile HSB 75 th Percentile Simple 50 th Percentile Simple 25 th Percentile Simple Aquifer Heights along Width Function HSB Storage HSB Discharge Simple Storage Simple Discharge

8 Real Time Modeling - NDFD provides estimates of forecasted temperatures, humidity, precipitation, cloud cover (updated hourly) Forcing data is from the National Digital Forecast Database and the Multisensor Precipitation Estimator (MPE). - MPE provides near real-time precipitation estimates (updated hourly) Data comparison using USGS streamflow and Recent Estimates of SWE (either observed or from SNODAS) Model Forecasts 24 hours in advance using NDFD quantities Assimilation of 1 km X 1 degree WSR-88D radar data (under development) Ability to update model states

9 Real Time Modeling Real-Time hydrometeorologic data is automatically downloaded continuously (NDFD) or when the model is run (MPE, Streamflow, SNODAS) - Available model visualizations include historical model data (previous slide) current hydrograph with stage and flood information (bottom left), and distributed estimates of soil moisture (bottom right) and SWE (not shown) -This real-time output is available online at: http://newims.hwr.arizona.edu/DelewareBasinModel/ Model runs automatically every hour (using a task scheduler) utilizing newly downloaded hydrometeorologic data (can be manually run more frequently during events) Model output is transmitted over the internet using a web page


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