This title appears in the Scientific Report :
2014
Towards an approach to validate filter methods to separate precipitation signal from noise in high frequency weighing lysimeter data
Towards an approach to validate filter methods to separate precipitation signal from noise in high frequency weighing lysimeter data
High precision weighing lysimeter allow a more reliable water flux estimation across the upper- and lower boundary of soils [1]. In recent years, much work has been done on lysimeter design [2, 3] and on the processing of lysimeter weight records affected by noise [4-9]. Noise prone measurements pre...
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Personal Name(s): | Groh, Jannis (Corresponding Author) |
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Vanderborght, Jan / Pütz, Thomas / Vereecken, Harry | |
Contributing Institute: |
Agrosphäre; IBG-3 |
Published in: | 2014 |
Imprint: |
2014
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Conference: | TERENO International Conference 2014, Bonn (Germany), 2014-09-29 - 2014-10-03 |
Document Type: |
Abstract |
Research Program: |
Terrestrial Systems: From Observation to Prediction Modelling and Monitoring Terrestrial Systems: Methods and Technologies |
Publikationsportal JuSER |
High precision weighing lysimeter allow a more reliable water flux estimation across the upper- and lower boundary of soils [1]. In recent years, much work has been done on lysimeter design [2, 3] and on the processing of lysimeter weight records affected by noise [4-9]. Noise prone measurements prevent a direct estimation of water fluxes from lysimeter weight changes as each small increase or decrease of weight change will be interpreted as precipitation or evapotranspiration. Therefore the estimation of precipitation and evapotranspiration from high resolution lysimeter data depends on the appropriate use and functionality of the noise reduction method (filter-algorithm). However it is still unclear how to validate the procedure of individual state of the art filter-algorithms [10] on lysimeter observations, as long as noise affect the change of the lysimeter weight. The lack of a known noise free reference water flux on the upper lysimeter boundary (e.g. precipitation) makes it impossible to validate and to compare the impact of different filter-algorithms on the estimation of precipitation or evapotranspiration from lysimeter measurements. In order to define the impact of different filter–algorithms on the separation of water exchange between the soil-plant–atmosphere continuums, we will present an experimental lysimeter set-up with a predefined upper boundary condition for several precipitation events. Within our experimental approach, we will apply a known input “precipitation” signal from a permanently weighted (high resolution 1 g) water reservoir on the lysimeter upper boundary. The lysimeter surface will be covered to omit weight changes due to evaporation or transpiration processes and the irrigation water will be collected in a tank which will be installed on the top of the lysimeter. Three different irrigation events which can be distinguished by its irrigation intensity will be used to measure parallel the noise free (irrigation) and the noise affected weight change of precipitation on the lysimeter. The experimental set-up enables us to validate the performance of different state of the art filter-algorithms by a comparison of the derived goodness of fit between the observed (irrigation) and processed precipitation (filter-algorithms) data’s. 1. Fank, J. and G. Unold, High-precision weighable field Lysimeter – a tool to measure water and solute balance parameters. International Water & Irrigation, 2007. 27(3): p. 28.2. Unold, G. and J. Fank, Modular Design of Field Lysimeters for Specific Application Needs. Water, Air, & Soil Pollution: Focus, 2008. 8(2): p. 233-242.3. Meissner, R., et al., Measurement of dew, fog, and rime with a high-precision gravitation lysimeter. Journal of Plant Nutrition and Soil Science, 2007. 170(3): p. 335-344.4. Nolz, R., G. Kammerer, and P. Cepuder, Interpretation of lysimeter weighing data affected by wind. Journal of Plant Nutrition and Soil Science, 2013. 176(2): p. 200-208.5. Schrader, F., et al., Estimating Precipitation and Actual Evapotranspiration from Precision Lysimeter Measurements. Procedia Environmental Sciences, 2013. 19(0): p. 543-552.6. Gebler, S., et al., Simultaneous estimation of actual evapotranspiration and precipitation by weighable lysimeters and comparison with eddy covariance and rain gauge measurements. 15. Gumpensteiner Lysimetertagung 2013, 2013: p. 199 - 202.7. Vaughan, P. and J. Ayars, Noise Reduction Methods for Weighing Lysimeters. Journal of Irrigation and Drainage Engineering, 2009. 135(2): p. 235-240.8. Hannes, M., et al., High-resolution estimation of the water balance of high-precision lysimeters, in EGU 2014. 2014, Geophysical Research Abstracts: Vienna.9. Peters, A., et al., Separating precipitation and evapotranspiration from noise - a new filter routine for high resolution lysimeter data. Hydrol. Earth Syst. Sci. Discuss., 2013. 10(12): p. 14645-14674.10. Durner, W., Interactive comment on “Separating precipitation and evapotranspiration from noise – a new filter routine for high resolution lysimeter data” by A. Peters et al. Hydrol. Earth Syst. Sci. Discuss., 2014. 10(12): p. C7860–C7861. |