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Development and evaluation of the SoilClim model for water balance and soil climate estimates

Author

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  • Hlavinka, Petr
  • Trnka, Miroslav
  • Balek, Jan
  • Semerádová, Daniela
  • Hayes, Michael
  • Svoboda, Mark
  • Eitzinger, Josef
  • Mozný, Martin
  • Fischer, Milan
  • Hunt, Eric
  • Zalud, Zdenek

Abstract

The newly developed SoilClim model is introduced as a tool for estimates of reference (ETo) and actual (ETa) evapotranspiration, presence of snow cover, soil temperature at 0.5 m depth and the soil moisture course within two defined layers. It enables one to determine the soil moisture and temperature regimes according to the United States Department of Agriculture (USDA) soil taxonomy. SoilClim works with daily time steps and requires maximum and minimum air temperature, global solar radiation, precipitation, vapor pressure and wind speed as meteorological inputs as well as basic information about the soil properties and vegetation cover. The behavior of SoilClim was assessed using observations at 5 stations in central Europe and 15 stations in the central U.S. The modeled ETo was compared with atmometers so that the coefficient of determination (R2) was 0.91 and root mean square error (RMSE) was 0.53 mm. The estimated ETa was compared against eddy-covariance and Bowen ratio measurements (R2 varied from 0.74 to 0.80; RMSE varied from 0.49 to 0.58 mm). The soil temperature (at 0.5 m depth) was estimated with good accuracy (R2 varied from 0.94 to 0.97; RMSE varied from 1.23 °C to 2.95 °C). The ability of the SoilClim model to mimic the observed soil water dynamics was carefully investigated (relative root mean square error rRMSE varied from 2.8% to 34.0%). The analysis conducted showed that SoilClim gives reasonable estimates of evaluated parameters at a majority of the included stations. Finally, a spatial analysis of soil moisture and temperature regimes (according to USDA) within the region of the Czech Republic and the northern part of Austria under present conditions was conducted and diagnosed the appearance of Perudic, Subhumid Udic, Dry Tempudic (the highest frequency), Wet Tempustic and Typic Tempustic. The simulated mean soil temperature (0.5 m depth) varied from less than 7.0 °C to 11.0 °C throughout this region. Based on these results, the SoilClim model is a useful and suitable tool for water balance and soil climate assessment on local and regional scales.

Suggested Citation

  • Hlavinka, Petr & Trnka, Miroslav & Balek, Jan & Semerádová, Daniela & Hayes, Michael & Svoboda, Mark & Eitzinger, Josef & Mozný, Martin & Fischer, Milan & Hunt, Eric & Zalud, Zdenek, 2011. "Development and evaluation of the SoilClim model for water balance and soil climate estimates," Agricultural Water Management, Elsevier, vol. 98(8), pages 1249-1261, May.
    • Handle: RePEc:eee:agiwat:v:98:y:2011:i:8:p:1249-1261
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    2. Jurečka, František & Fischer, Milan & Hlavinka, Petr & Balek, Jan & Semerádová, Daniela & Bláhová, Monika & Anderson, Martha C. & Hain, Christopher & Žalud, Zdeněk & Trnka, Miroslav, 2021. "Potential of water balance and remote sensing-based evapotranspiration models to predict yields of spring barley and winter wheat in the Czech Republic," Agricultural Water Management, Elsevier, vol. 256(C).
    3. František Jurečka & Martin Možný & Jan Balek & Zdeněk Žalud & Miroslav Trnka, 2019. "Comparison of Methods for the Assessment of Fire Danger in the Czech Republic," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(5), pages 1285-1295.
    4. Potopová, V. & Trifan, T. & Trnka, M. & De Michele, C. & Semerádová, D. & Fischer, M. & Meitner, J. & Musiolková, M. & Muntean, N. & Clothier, B., 2023. "Copulas modelling of maize yield losses – drought compound events using the multiple remote sensing indices over the Danube River Basin," Agricultural Water Management, Elsevier, vol. 280(C).
    5. Potopová, V. & Trnka, M. & Vizina, A. & Semerádová, D. & Balek, J. & Chawdhery, M.R.A. & Musiolková, M. & Pavlík, P. & Možný, M. & Štěpánek, P. & Clothier, B., 2022. "Projection of 21st century irrigation water requirements for sensitive agricultural crop commodities across the Czech Republic," Agricultural Water Management, Elsevier, vol. 262(C).
    6. Žalud, Zdeněk & Hlavinka, Petr & Prokeš, Karel & Semerádová, Daniela & Balek Jan, & Trnka, Miroslav, 2017. "Impacts of water availability and drought on maize yield – A comparison of 16 indicators," Agricultural Water Management, Elsevier, vol. 188(C), pages 126-135.
    7. Trnka, Miroslav & Vizina, Adam & Hanel, Martin & Balek, Jan & Fischer, Milan & Hlavinka, Petr & Semerádová, Daniela & Štěpánek, Petr & Zahradníček, Pavel & Skalák, Petr & Eitzinger, Josef & Dubrovský,, 2022. "Increasing available water capacity as a factor for increasing drought resilience or potential conflict over water resources under present and future climate conditions," Agricultural Water Management, Elsevier, vol. 264(C).
    8. Hong, Eun-Mi & Nam, Won-Ho & Choi, Jin-Yong & Pachepsky, Yakov A., 2016. "Projected irrigation requirements for upland crops using soil moisture model under climate change in South Korea," Agricultural Water Management, Elsevier, vol. 165(C), pages 163-180.

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