Managing Global Resources for a Secure Future

2017 Annual Meeting | Oct. 22-25 | Tampa, FL

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89 Symposium--Advances in Measuring and Modeling Crop Water Requirements

Oral Session
ASA Section: Climatology and Modeling
  Accurately quantifying crop water requirements (ET) is critical for scheduling irrigations for optimizing water productivity in agriculture. Lysimeters, eddy covariance (EC), and energy balance (EB) are modern methods for estimating ET. The EC method has been widely known to have unresolved energy balance closure related issues. In this symposium, we will discuss experiences, across the globe, on the direction the ET research using modern technologies is advancing today. Presentations will include experiences with lysimeters, eddy covariance, energy balance, climatological, water balance, and other micrometeorological methods and agricultural system modeling in water management research.  

Approved for SW 2.0 CEUs

Cosponsor(s):

Model Applications in Field Research Community

Monday, October 23, 2017: 1:30 PM-3:30 PM
Tampa Convention Center, Room 12

Community Leaders:
Saseendran Anapalli and Ole Wendroth
Organizers:
Saseendran Anapalli and Ole Wendroth
Moderators:
Saseendran Anapalli and Ole Wendroth
1:30 PM
Introductory Remarks
1:35 PM
89-1
Long-Term Observations of Crop Water Use with Eddy Covariance Stations and Coupling with Crop Simulation Models.
Jerry L. Hatfield, USDA-ARS National Laboratory for Agriculture and the Environment; Bruno Basso, Michigan State University; Sotiris V. Archontoulis, Iowa State University; Christian Dold, USDA-ARS; John H. Prueger, National Laboratory for Agriculture and the Environment; Thomas J. Sauer, USDA-ARS National Laboratory for Agriculture and the Environment
Audio File Recorded Presentation
1:55 PM
89-2
Uncertainties of Eddy Covariance ET in Bushland, Texas.
Xiaomao Lin, Kansas State University; Seth Kutikoff, Kansas State University; Jerry E. Moorhead, USDA-ARS Conservation and Production Research Laboratory; Gary W. Marek, USDA-ARS Conservation and Production Research Laboratory; Paul D. Colaizzi, USDA-ARS Conservation and Production Research Laboratory; Steven R. Evett, USDA-ARS; Prasanna H. Gowda, USDA-ARS Grazinglands Research Laboratory; David K. Brauer, USDA-ARS Conservation and Production Research Laboratory
2:10 PM
89-3
Impact of Water Use Efficiency Parameterization on Partitioning Evapotranspiration with the Eddy Covariance Flux Variance Method.
Ray G. Anderson, USDA-ARS; Dong Wang, USDA-ARS; Todd H. Skaggs, USDA-ARS; Joseph G Alfieri, USDA-ARS; Todd M Scanlon, University of Virginia; William Kustas, USDA-ARS Hydrology and Remote Sensing Lab
Audio File Recorded Presentation
2:25 PM
89-4
Evaluation of Evapotranspiration from Eddy Covariance and Surface Layer Scintillometry.
Jerry E. Moorhead, USDA-ARS Conservation and Production Research Laboratory; Gary W. Marek, USDA-ARS Conservation and Production Research Laboratory; Xiaomao Lin, Kansas State University; Prasanna H. Gowda, USDA-ARS Grazinglands Research Laboratory; Paul D. Colaizzi, USDA-ARS Conservation and Production Research Laboratory; Steven R. Evett, USDA-ARS
2:40 PM
89-5
Evapotranspiration Estimates from Surface Energy Balance Compared Against Eddy Covariance, Surface Renewal, Water Balance and Crop Coefficient Method.
George Paul, Formation Environmental LLC; Brian Schmid, Formation Environmental LLC; Tom Hawkins, Formation Environmental LLC; Chuan-Shin Chong, Formation Environmental LLC; Mark Roberson, Formation Environmental LLC; Dane Williams, Formation Environmental LLC; Aaron Smith, Formation Environmental LLC; Clint Kellar, Formation Environmental LLC
Audio File Recorded Presentation
2:55 PM
89-6
Comparison of Simulated Crop Evapotranspiration with Eddy Covariance Measurements.
Nithya Rajan, Texas A&M University; Dorothy Menefee, Texas A&M University
3:05 PM
89-7
Measurement and Modeling of Soybean Water Requirements.
Gary Feng, USDA-ARS; Ying Ouyang, USDA Forest Service; Dennis Reginelli, Mississippi State University; Johnie N. Jenkins, USDA-ARS
Audio File Recorded Presentation
3:15 PM
89-8
Eddy Covariance and Energy Balance Methods for Rapidly Estimating ET and Crop Coefficients in the Mississippi Delta Region.
Saseendran Anapalli, USDA-ARS; Daniel K. Fisher, USDA-ARS; Krishna Reddy, USDA/ARS; Ruixiu Sui, USDA-ARS; Larry Jason Krutz, Mississippi State University; Pradeep Wagle, USDA-ARS Grazinglands Research Laboratory; Prasanna H. Gowda, USDA-ARS Grazinglands Research Laboratory
3:30 PM
Adjourn
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