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Operational global actual evapotranspiration: development, evaluation, and dissemination

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  • Senay, G. B.
  • Kagone, S.
  • Velpuri, Naga M.

Abstract

Satellite-based actual evapotranspiration (ETa) is becoming increasingly reliable and available for various water management and agricultural applications from water budget studies to crop performance monitoring. The Operational Simplified Surface Energy Balance (SSEBop) model is currently used by the US Geological Survey (USGS) Famine Early Warning System Network (FEWS NET) to routinely produce and post multitemporal ETa and ETa anomalies online for drought monitoring and early warning purposes. Implementation of the global SSEBop using the Aqua satellite’s Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature and global gridded weather datasets is presented. Evaluation of the SSEBop ETa data using 12 eddy covariance (EC) flux tower sites over six continents indicated reasonable performance in capturing seasonality with a correlation coefficient up to 0.87. However, the modeled ETa seemed to show regional biases whose natures and magnitudes require a comprehensive investigation using complete water budgets and more quality-controlled EC station datasets. While the absolute magnitude of SSEBop ETa would require a one-time bias correction for use in water budget studies to address local or regional conditions, the ETa anomalies can be used without further modifications for drought monitoring. All ETa products are freely available for download from the USGS FEWS NET website.

Suggested Citation

  • Senay, G. B. & Kagone, S. & Velpuri, Naga M., 2020. "Operational global actual evapotranspiration: development, evaluation, and dissemination," Papers published in Journals (Open Access), International Water Management Institute, pages 1-20(7):191.
    • Handle: RePEc:iwt:jounls:h049657
    DOI: 10.3390/s20071915
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    References listed on IDEAS

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    1. Wittwer, Glyn & Griffith, Marnie, 2011. "Modelling drought and recovery in the southern Murray-Darling basin," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(3), pages 1-18, September.
    2. Adam Loch & David Adamson, 2015. "Drought and the rebound effect: a Murray–Darling Basin example," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 1429-1449, December.
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    1. Ji, Lei & Senay, Gabriel B. & Friedrichs, MacKenzie & Schauer, Matthew & Boiko, Olena, 2021. "Characterization of water use and water balance for the croplands of Kansas using satellite, climate, and irrigation data," Agricultural Water Management, Elsevier, vol. 256(C).
    2. Zhao, Tianxing & Zhu, Yan & Ye, Ming & Yang, Jinzhong & Jia, Biao & Mao, Wei & Wu, Jingwei, 2022. "A new approach for estimating spatial-temporal phreatic evapotranspiration at a regional scale using NDVI and water table depth measurements," Agricultural Water Management, Elsevier, vol. 264(C).
    3. Filippelli, Steven K. & Sloggy, Matthew R. & Vogeler, Jody C. & Manning, Dale T. & Goemans, Christopher & Senay, Gabriel B., 2022. "Remote sensing of field-scale irrigation withdrawals in the central Ogallala aquifer region," Agricultural Water Management, Elsevier, vol. 271(C).

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