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Analysis and quality control of weighing lysimeter water storage data

Author

Listed:
  • Evett, Steven R.
  • Colaizzi, Paul D.
  • Marek, Gary W.
  • Copeland, Karen S.
  • Ruthardt, Brice B.

Abstract

A tool was developed to analyze 5-minute weighing lysimeter apparent relative water storage data and reduce it to values of the water balance components, including evapotranspiration (ET), dew and frost accumulation, precipitation, irrigation, and drainage while applying quality control measures. Algorithms automatically identify precipitation, and dew and frost accumulations in the 5-minute data, and place flags appropriately (“P” or “DW”) in a column that is referenced by formulae that separately calculate values for these. Noise can, however, cause false identification of precipitation or frost and dew accumulations, so another column is made available in which the user can enter flags to either nullify (“NO”) false automatic identification, or conversely, identify precipitation or dew and frost accumulations (“P” or “DW”) not automatically identified. This column also serves for entry of specific flags identifying, amongst others, apparent relative water storage changes due to irrigation, drainage tank emptying, and counterweight adjustments. Other algorithms act upon these flags to correct and adjust the original raw relative storage values so that the adjusted relative storage reflects only ET. Two different methods of ET calculation provide for error checking and data validation. The spreadsheet was applied to 30 + years of 5-minute lysimeter data. Example data from 2018 illustrate the processing and quality control procedures.

Suggested Citation

  • Evett, Steven R. & Colaizzi, Paul D. & Marek, Gary W. & Copeland, Karen S. & Ruthardt, Brice B., 2025. "Analysis and quality control of weighing lysimeter water storage data," Agricultural Water Management, Elsevier, vol. 317(C).
    • Handle: RePEc:eee:agiwat:v:317:y:2025:i:c:s0378377425003889
    DOI: 10.1016/j.agwat.2025.109674
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    References listed on IDEAS

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    1. Stöckle, Claudio O. & Liu, Mingliang & Kadam, Sunil A. & Evett, Steven R. & Marek, Gary W. & Colaizzi, Paul D., 2025. "Comparing evapotranspiration estimations using crop model-data fusion and satellite data-based models with lysimetric observations: Implications for irrigation scheduling," Agricultural Water Management, Elsevier, vol. 311(C).
    2. Vaughan, P.J. & Trout, T.J. & Ayars, J.E., 2007. "A processing method for weighing lysimeter data and comparison to micrometeorological ETo predictions," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 141-146, March.
    3. Kang, Shujiang & Payne, William A. & Evett, Steven R. & Robinson, Clay A. & Stewart, Bobby A., 2009. "Simulation of winter wheat evapotranspiration in Texas and Henan using three models of differing complexity," Agricultural Water Management, Elsevier, vol. 96(1), pages 167-178, January.
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