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Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September, 2013
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Decline in Alabama commodity crops was characteristic of Southeast as a whole Background
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Irrigated Rainfed Midwest Yields Yield Benefit of Irrigation
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Profit while paying for irrigation infrastructure How do we run these scenarios?
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Soil ConditionsWeather data Model Simulation Crop Management Genetics Growth Development Yield Net Income Environmental Impact Natural Resource Use Crop Model
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DSSAT “Decision Support System for Agro-Technology” Computer simulation model of the soil-plant- atmosphere system Widely accepted crop model Used to model “What-if” scenarios incorporating multiple factors (weather, soil, cultivar, irrigation…) Inputs: Min/Max Temperature Precipitation Insolation (sunshine) Soil Outputs: Yield Drought Stress Irrigation Demand Fertilizer Demand Residual Fertilizer
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DSSAT to GriDSSAT Workflow Run DSSAT ~36,000 times a day! “X File”: Planting Dates County Soil Types Cultivar Spatial Weather: Insolation Temperature Precipitation Model Output Yield Drought Stress Irrigation Demand Residual Fertilizer
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GriDSSAT Website Updated Daily http://gridssat.nsstc.uah.edu/
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Week of May 29 th, 2012 Comparison of the U.S. Drought Monitor to the GriDSSAT Crop Stress Index and 7-Day Cumulative Precipitation
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Week of June 5th, 2012
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Week of June 12 th, 2012
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Week of June 19 th, 2012
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Week of June 26 th, 2012
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Week of July 3 rd, 2012
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Week of July 10 th, 2012
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Analysis w/ Crop-Scape Masking
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Week of August 31st, 2012
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2012 Yields with Irrigation 222 bu/ac 183bu/ac 173 bu/ac 119 bu/ac 45 bu/ac
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Irrigation Demand is Dynamic GriDSSAT Crop Model USDA NASS CropScape Data Watershed Irrigation Withdrawals
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Real-time Radar Derived Precipitation NASA land surface temperatures Satellite derived insolation Real-time Gridded Crop Model Real-time WaSSI Model Provide both Crop Stress & Water Stress to Stakeholders
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THANK YOU! QUESTIONS?
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