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Evaluation of Global Daily Reference ET Using Oklahoma’s Environmental Monitoring Network—MESONET

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  • Wenjuan Liu
  • Yang Hong
  • Sadiq Khan
  • Mingbin Huang
  • Trevor Grout
  • Pradeep Adhikari

Abstract

The objective of this study is to evaluate the potential utility of the USGS Global Data Assimilation System (GDAS) 1-degree, daily reference Evapotranspiration (ET 0 ) products by comparing them with observed Oklahoma mesonet daily ET 0 over a 2 year period (2005–2006). The comparison showed a close match between the two independent ET 0 products, with bias within a range of 10% for most of the sites and the overall bias of − 2.80%. The temporal patterns are strongly correlated, with a correlation coefficient above 0.9 for all groups. In summary, we conclude that (1) the consistent low bias shows the original GDAS ET 0 products have high potentials to be used in land surface modeling; (2) the high temporal correlations demonstrate the capability of GDAS ET 0 to represent the major atmospheric processes that control the daily variation of surface hydrology; (3) The temporal and spatial correspondences in trend between independent datasets (GDAS and MESONET) were good. The finding in Oklahoma, a different hydro-climate region from a similar regional study conducted in California by Senay et al. (J Am Water Res Assoc 44(4):969–979, 2008 ), reconfirms the reliability and potential of using GDAS reference ET for regional energy balance and water resources management in many parts of the world. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Wenjuan Liu & Yang Hong & Sadiq Khan & Mingbin Huang & Trevor Grout & Pradeep Adhikari, 2011. "Evaluation of Global Daily Reference ET Using Oklahoma’s Environmental Monitoring Network—MESONET," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(6), pages 1601-1613, April.
    • Handle: RePEc:spr:waterr:v:25:y:2011:i:6:p:1601-1613
    DOI: 10.1007/s11269-010-9763-0
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    References listed on IDEAS

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    1. Seema Chauhan & R. Shrivastava, 2009. "Performance Evaluation of Reference Evapotranspiration Estimation Using Climate Based Methods and Artificial Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(5), pages 825-837, March.
    2. Ali-Akbar Sabziparvar & H. Tabari & A. Aeini & M. Ghafouri, 2010. "Evaluation of Class A Pan Coefficient Models for Estimation of Reference Crop Evapotranspiration in Cold Semi-Arid and Warm Arid Climates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(5), pages 909-920, March.
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