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Critical comparison of actual evapotranspiration estimates using ground based, remotely sensed, and simulated data in the USA

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  • Kibria, Saad
  • Masia, Sara
  • Sušnik, Janez
  • Hessels, Tim Martijn

Abstract

Agriculture is a major consumptive user of water through evapotranspiration (ET). Quantification of actual ET (ETa) is of significant interest to better address water management and improve decision making in the agricultural sector. Many methods to estimate ET are available. However, due to the increasing need of validation of estimates of ET from various techniques, there arises a call for a critical comparison of ETa estimated from a combination of methods. This research presents a critical comparison of ETa estimates obtained using ground based (eddy covariance), remotely sensed (ET ensemble), and simulated data (a crop-soil-water balance model, SIMETAW#). The study focuses on experimental sites in Nebraska, Oklahoma and California (USA). Results show a relatively small and consistent variation between the three methods. The results are relatively close giving a reasonable impression of the expected ETa at a site including variability which is useful to address agricultural practices. The estimates from remote sensing deviate from the other two methods since the method used is relatively new and requires further research to improve measurements and ET estimation. This study offers water managers at the sites new information for reliable, multi-source ET estimation for water resources planning and the study is in principle replicable at different locations.

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  • Kibria, Saad & Masia, Sara & Sušnik, Janez & Hessels, Tim Martijn, 2021. "Critical comparison of actual evapotranspiration estimates using ground based, remotely sensed, and simulated data in the USA," Agricultural Water Management, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:agiwat:v:248:y:2021:i:c:s0378377421000184
    DOI: 10.1016/j.agwat.2021.106753
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    1. Uddin, J. & Hancock, N.H. & Smith, R.J. & Foley, J.P., 2013. "Measurement of evapotranspiration during sprinkler irrigation using a precision energy budget (Bowen ratio, eddy covariance) methodology," Agricultural Water Management, Elsevier, vol. 116(C), pages 89-100.
    2. Droogers, P. & Immerzeel, W.W. & Lorite, I.J., 2010. "Estimating actual irrigation application by remotely sensed evapotranspiration observations," Agricultural Water Management, Elsevier, vol. 97(9), pages 1351-1359, September.
    3. Sakthivadivel, R. & Thiruvengadachari, S. & Amerasinghe, U. & Bastiaanssen, W. G. M. & Molden, D., 1999. "Performance evaluation of the Bhakra Irrigation System, India, using remote sensing and GIS techniques," IWMI Research Reports H024199, International Water Management Institute.
    4. Naim Haie & Rui M. Pereira & Haw Yen, 2018. "An Introduction to the Hyperspace of Hargreaves-Samani Reference Evapotranspiration," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
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    2. Wei, Jun & Cui, Yuanlai & Zhou, Sihang & Luo, Yufeng, 2022. "Regional water-saving potential calculation method for paddy rice based on remote sensing," Agricultural Water Management, Elsevier, vol. 267(C).

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