Version 1.2.0 — pyfao56: FAO-56 evapotranspiration in Python by Kelly R. Thorp, Josh Brekel, Kendall C. DeJonge

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The apples and oranges of reference and potential evapotranspiration: Implications for agroecosystem models by Kendall C. DeJonge, Kelly R. Thorp, Gary W. Marek

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Version 1.1.0—pyfao56: FAO-56 evapotranspiration in Python by Josh Brekel, Kelly R. Thorp, Kendall C. DeJonge, Thomas J. Trout

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USDA-ARS Colorado maize growth and development, yield and water-use under strategic timing of irrigation, 2012–2013 by Louise H. Comas, Thomas J. Trout, Garrett T. Banks, Huihui Zhang, Kendall C. DeJonge, Sean M. Gleason

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Evaluation of artificial intelligence algorithms with sensor data assimilation in estimating crop evapotranspiration and crop water stress index for irrigation water management by Abia Katimbo, Daran R. Rudnick, Jingwen Zhang, Yufeng Ge, Kendall C. DeJonge, Trenton E. Franz, Yeyin Shi, Wei-zhen Liang, Xin Qiao, Derek M. Heeren, Isa Kabenge, Hope Njuki Nakabuye, Jiaming Duan

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Wildfire and climate change amplify knowledge gaps linking mountain source-water systems and agricultural water supply in the western United States by David M. Barnard, Timothy R. Green, Kyle R. Mankin, Kendall C. DeJonge, Charles C. Rhoades, Stephanie K. Kampf, Jeremy Giovando, Mike J. Wilkins, Adam L. Mahood, Megan G. Sears, Louise H. Comas, Sean M. Gleason, Huihui Zhang, Steven R. Fassnacht, R. Daren Harmel, Jon Altenhofen

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