Cyber Huntsville Briefing to Energy Huntsville Forum 1 6 August 2012
Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of...
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Transcript of Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of...
Crop Modeling,The 2012 “Flash Drought”
& Irrigation Demand
Cameron HandysideUniversity of Alabama in Huntsville
Earth Systems Science CenterSeptember, 2013
Decline in Alabama commodity crops was characteristic of Southeast as a whole
Background
Irrigated
Rainfed
Midwest Yields
Yield Benefit of Irrigation
Profit while paying for irrigation infrastructure
How do we run these scenarios?
Soil Conditions Weather data
Model Model
Simulation Simulation
Crop Management Genetics
GrowthGrowth DevelopmentDevelopment
YieldYield
Net IncomeNet Income
Environmental ImpactEnvironmental Impact Natural Resource UseNatural Resource Use
Crop Model
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
DSSAT to GriDSSAT Workflow
RunDSSAT
~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
GriDSSAT Website Updated Daily
http://gridssat.nsstc.uah.edu/
Week of May 29th, 2012
Comparison of the U.S. Drought Monitor to the GriDSSAT Crop Stress Index and 7-Day Cumulative Precipitation
Week of June 5th, 2012
Week of June 12th, 2012
Week of June 19th, 2012
Week of June 26th, 2012
Week of July 3rd, 2012
Week of July 10th, 2012
Analysis w/ Crop-Scape Masking
Week of August 31st, 2012
2012 Yields with Irrigation222 bu/ac
183bu/ac
173 bu/ac
119 bu/ac
45 bu/ac
Irrigation Demand is Dynamic
GriDSSAT Crop
Model
USDA NASS
CropScape Data
Watershed Irrigation
Withdrawals
Real-time Radar Derived Precipitation
NASA land surface temperatures
Satellite derived insolation Real-time Gridded Crop ModelReal-time WaSSI Model
Provide both Crop Stress & Water Stress to Stakeholders
THANK YOU!
QUESTIONS?