Analysis and quality control of weighing lysimeter water storage data

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. • Identifies & quantifies real and virtual components of the lysimeter water balance • Identifies and quantifies dew and frost accumulation • Defines quality control processes for lysimeter ET • Validates ET with two separate calculation methods • Provides graphical documentation of water balance computation

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Publication Details

Journal
Agricultural Water Management
Published
2025-07-19
DOI
https://doi.org/10.1016/j.agwat.2025.109674
Citations
3
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
2.42
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article

Analysis and quality control of weighing lysimeter water storage data

3 citations
Agricultural Water Management
RNA modifications and cancer
2.42
article

Analysis and quality control of weighing lysimeter water storage data

article en
3 citations

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. • Identifies & quantifies real and virtual components of the lysimeter water balance • Identifies and quantifies dew and frost accumulation • Defines quality control processes for lysimeter ET • Validates ET with two separate calculation methods • Provides graphical documentation of water balance computation

Agricultural Water ManagementVol. 317
Conservation and Production Research Laboratory (US)
Clean water and sanitation
Openalex Percentile: Top 10%
RNA modifications and cancer
2.42
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