Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of...

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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

Transcript of Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of...

Page 1: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Crop Modeling,The 2012 “Flash Drought”

& Irrigation Demand

Cameron HandysideUniversity of Alabama in Huntsville

Earth Systems Science CenterSeptember, 2013

Page 2: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Decline in Alabama commodity crops was characteristic of Southeast as a whole

Background

Page 3: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Irrigated

Rainfed

Midwest Yields

Yield Benefit of Irrigation

Page 4: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Profit while paying for irrigation infrastructure

How do we run these scenarios?

Page 5: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

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

Page 6: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

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

Page 7: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

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

Page 8: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

GriDSSAT Website Updated Daily

http://gridssat.nsstc.uah.edu/

Page 9: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Week of May 29th, 2012

Comparison of the U.S. Drought Monitor to the GriDSSAT Crop Stress Index and 7-Day Cumulative Precipitation

Page 10: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Week of June 5th, 2012

Page 11: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Week of June 12th, 2012

Page 12: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Week of June 19th, 2012

Page 13: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Week of June 26th, 2012

Page 14: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Week of July 3rd, 2012

Page 15: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Week of July 10th, 2012

Page 16: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Analysis w/ Crop-Scape Masking

Page 17: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,
Page 18: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Week of August 31st, 2012

Page 19: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

2012 Yields with Irrigation222 bu/ac

183bu/ac

173 bu/ac

119 bu/ac

45 bu/ac

Page 20: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

Irrigation Demand is Dynamic

GriDSSAT Crop

Model

USDA NASS

CropScape Data

Watershed Irrigation

Withdrawals

Page 21: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

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

Page 22: Crop Modeling, The 2012 “Flash Drought” & Irrigation Demand Cameron Handyside University of Alabama in Huntsville Earth Systems Science Center September,

THANK YOU!

QUESTIONS?