650
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Long-term analysis of measured and simulated evapotranspiration and soil water content

, &
Pages 1532-1550 | Received 20 May 2016, Accepted 08 Mar 2017, Published online: 27 Jun 2017

References

  • Albasha, R., Mailhol, J.-C., and Cheviron, B., 2015. Compensatory uptake functions in empirical macroscopic root water uptake models – Experimental and numerical analysis. Agricultural Water Management, 155, 22–39. doi:10.1016/j.agwat.2015.03.010
  • Alfieri, J.G., et al., 2012. On the discrepancy between eddy covariance and lysimetry based flux measurements under strongly advective conditions. Advances in Water Resources, 50, 62–78. doi:10.1016/j.advwatres.2012.07.008
  • Allen, R.G., et al., 2011. Evapotranspiration information reporting: I Factors governing measurement accuracy. Agricultural Water Management, 98, 899–920. doi:10.1016/j.agwat.2010.12.015
  • Allen, R.G. et al., 1998. Crop evapotranspiration. Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper No.56. Rome: FAO.
  • Beyrich, F. and Adam, W.K., 2007. Site and data report fort he lindenberg reference site in CEOP-phase I. Vol. 230. Offenbach am Main: Berichte des Deutschen Wetterdienstes, 55.
  • Beyrich, F., et al., 2006. Area-averaged surface fluxes over the LITFASS-region based on eddy-covariance measurements. Boundary-Layer Meteorology, 121, 33–65. doi:10.1007/s10546-006-9052-x
  • Beyrich, F. and Mengelkamp, H., 2006. Evaporation over a heterogeneous land surface: EVA_GRIPS and the LITFASS-2003 experiment - an Overview. Boundary-Layer Meteorology, 121, 5–32. doi:10.1007/s10546-006-9079-z
  • Bitteli, M., Salvatorelli, F., and Pisa, P.P, 2008. Correction of TDR-based soil water content measurements in conductive soils. Geoderma, 143, 133–142. doi:10.1016/j.geoderma.2007.10.022
  • Braud, I., Varadoa, N., and Olioso, A., 2005. Comparison of root water uptake modules using either the surface energy balance or potential transpiration. Journal of Hydrology, 301, 267–286. doi:10.1016/j.jhydrol.2004.06.033
  • Chung, S.-O. and Horton, R., 1987. Soil heat and water flow with a partial surface mulch. Water Resources Research, 23, 2175–2186. doi:10.1029/WR023i012p02175
  • Crush, J.R., et al., 2007. Genotypic variation in patterns of root distribution, nitrate interception and response to moisture stress of a perennial ryegrass (Lolium perenne L.) mapping population. Grass Forage Science, 62, 265–273. doi:10.1111/gfs.2007.62.issue-3
  • de Willigen, P., et al., 2012. Root water uptake as simulated by three soil water flow models. Vadose Zone Journal, 11. doi:10.2136/vzj2012.0018
  • Deb, S.K., Manoj, K.S., and Mexal, J.G., 2011. Numerical modeling of water fluxes in the root zone of a mature pecan orchard. Soil Science Society of America Journal, 75, 1667–1680. doi:10.2136/sssaj2011.0086
  • Deb, S.K., et al., 2013. Evaluation of spatial and temporal root water uptake patterns of flood-irrigated pecan tree using the hydrus (2D/3D) model. Journal of Irrigation and Drainage Engineering, 139, 599–611. doi:10.1061/(ASCE)IR.1943-4774.0000611
  • Dong, X., et al., 2010. Quantifying root water extraction by rangeland plants through soil water modeling. Plant Soil, 335, 181–198. doi:10.1007/s11104-010-0401-7
  • dos Santos, M.A., et al., 2016. Determination of empirical parameters for root water uptake models. Hydrology and Earth System Sciences Discussions, 1–37. doi:10.5194/hess-2016-59
  • Evett, S.R., et al., 2012a. Overview of the Bushland Evapotranspiration and Agricultural Remote sensing EXperiment 2008 (BEAREX08): A field experiment evaluating methods for quantifying ET at multiple scales. Advances in Water Resources, 50, 4–19. doi:10.1016/j.advwatres.2012.03.010
  • Evett, S.R., et al., 2012b. Soil water sensing for water balance, ET and WUE. Agricultural Water Management, 104, 1–9. doi:10.1016/j.agwat.2011.12.002
  • FAO – Unesco, 1988. Soil map of the world. Rom: Food and Agriculture Organization of the United Nations, 119.
  • Feddes, R.A., Kowalik, P.J., and Zaradny, H., 1978. Simulation of field water use and crop yield. New York: John Wiley and Sons, 189 pp.
  • Foken, T., et al., 2010. Energy balance closure for the LITFASS-2003 experiment. Theoretical and Applied Climatology, 101, 149–160. doi:10.1007/s00704-009-0216-8
  • García-Herrera, R., et al., 2010. A review of the European summer heat wave of 2003. Critical Reviews in Environmental Science and Technology, 40, 267–306.
  • Gebler, S., et al., 2014. Actual evapotranspiration and precipitation measured by lysimeters: a comparison with eddy covariance and tipping bucket. Hydrology and Earth System Sciences Discussions, 11, 13797–13841. doi:10.5194/hessd-11-13797-2014
  • Izadifar, Z. and Elshorbagy, A., 2010. Prediction of hourly actual evapotranspiration using neural networks, genetic programming, and statistical models. Hydrological Processes, 24, 3413–3425. doi:10.1002/hyp.v24:23
  • Jarvis, N.J., 2011. Simple physics-based models of compensatory plant water uptake: concepts and eco-hydrological consequences. Hydrology and Earth System Sciences, 15, 3431–3446. doi:10.5194/hess-15-3431-2011
  • Katul, G., et al., 2012. Evapotranspiration: A process driving mass transport and energy exchange in the soil-plant-atmosphere-climate system. Reviews of Geophysics, 50. doi:10.1029/2011RG000366
  • Kool, D., et al., 2014. A review of approaches for evapotranspiration partitioning. Agricultural and Forest Meteorology, 184, 56–70. doi:10.1016/j.agrformet.2013.09.003
  • Kumar, R., Shankar, V., and Jat, M.K., 2015. Evaluation of root water uptake models – a review. ISH Journal of Hydraulic Engineering, 21, 115–124. doi:10.1080/09715010.2014.981955
  • Mauder, M., et al., 2006. Processing and quality control of flux data during LITFASS-2003. Boundary-Layer Meteorology, 121, 67–88. doi:10.1007/s10546-006-9094-0
  • Mualem, Y., 1976. A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resources Research, 12, 513–522. doi:10.1029/WR012i003p00513
  • Nash, J.E. and Sutcliffe, J.V., 1970. Riverflow forecasting through conceptual models part I — A discussion of principles. Journal of Hydrology, 273, 282–290. doi:10.1016/0022-1694(70)90255-6
  • Pereira, L.S., et al., 2015. Crop evapotranspiration estimation with FAO56: past and future. Agricultural Water Management, 147, 4–20. doi:10.1016/j.agwat.2014.07.031
  • Peters, A., 2016. Modified conceptual model for compensated root water uptake – a simulation study. Journal of Hydrology, 534, 1–10. doi:10.1016/j.jhydrol.2015.12.047
  • Reid, J.B. and Crush, J.R., 2013. Root turnover in pasture species: perennial ryegrass (Lolium perenne L.). Crop and Pasture Science, 64 (2), 165–177. doi:10.1071/CP13079
  • Ritchie, J.T., 1972. Model for predicting evaporation from a row crop with incomplete cover. Water Resources Research, 8, 1204–1212. doi:10.1029/WR008i005p01204
  • Robinson, D.A., et al., 2008. Soil moisture measurement for ecological and hydrological watershed-scale observatories: a review. Vadose Zone Journal, 7, 358–389. doi:10.2136/vzj2007.0143
  • Sándor, R. and Fodor, N., 2012. Simulation of soil temperature dynamics with models using different concepts. The Scientific World Journal, 2012, Article-ID 590287, 1–8. doi:10.1100/2012/590287
  • Schelde, K., et al., 2011. Comparing evapotranspiration rates estimated from atmospheric flux and TDR soil moisture measurements. Vadose Zone Journal, 10 (1), 78–83. doi:10.2136/vzj2010.0060
  • Shouse, P.J., Ayars, J.E., and Šimůnek, J., 2011. Simulating root water uptake from a shallow saline groundwater resource. Agricultural Water Management, 98, 784–790. doi:10.1016/j.agwat.2010.08.016
  • Simunek, J., et al., 2013. The hydrus-1D-software package for simulating the one-dimensional movement of water, heat and multiple solutes in variably saturated media Version 4.17. Riverside, CA: Department of Environmental Sciences, University of California Riverside, 308.
  • Soylu, M.E., Kucharik, C.J., and Loheide, S.P., 2014. Influence of groundwater on plant water use and productivity: development of an integrated ecosystem – Variably saturated soil water flow model. Agricultural and Forest Meteorology, 189-190, 198–210. doi:10.1016/j.agrformet.2014.01.019
  • Supit, I., Hooijer, A.A., and van Diepen, C.A., 1994. System description of the Wofost 6.0 crop simulation model implemented in CGMS, Vol.1: theory and Algorithms. Luxembourg: Joint Research Centre, Commission of the European Communities, EUR 15956 EN, 146.
  • van Genuchten, M., 1980. A closed form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal, 44, 892–898. doi:10.2136/sssaj1980.03615995004400050002x
  • Vanderborght, J., et al., 2010. Within field variability of bare soil evaporation derived from eddy-covariance measurements. Vadose Zone Journal, 9, 943–954. doi:10.2136/vzj2009.0159
  • Vásquez, V., et al., 2015. Integrating lysimeter drainage and eddy covariance flux measurements in a groundwater recharge model. Hydrological Sciences Journal, 60 (9), 1520–1537. doi:10.1080/02626667.2014.904964
  • Vogel, T., et al., 2013. Macroscopic modeling of plant water uptake in a forest stand involving root-mediated soil-water redistribution. Vadose Zone Journal, 12. doi:10.2136/vzj2012.0154
  • Wegehenkel, M. and Beyrich, F., 2014. Modelling hourly evapotranspiration and soil water content at the grass-covered boundary-layer field site Falkenberg, Germany. Hydrological Sciences Journal, 59, 376–394. doi:10.1080/02626667.2013.835488
  • Wegehenkel, M. and Gerke, H.H., 2013. Comparison of real evapotranspiration measured by weighing lysimeters with simulations based on the Penman formula and a crop growth model. Journal of Hydrology and Hydromechanics, 61, 161–172. doi:10.2478/johh-2013-0021
  • Willmott, C.J., 1982. Some comments on the evaluation of model performance. Bulletin of the American Meteorological Society, 63, 1309–1313. doi:10.1175/1520-0477(1982)063<1309:SCOTEO>2.0.CO;2
  • Yadav, B., Mathur, S., and Siebel, M., 2009. Soil moisture dynamics modeling considering the root compensation mechanism for water uptake by plants. Journal of Hydrologic Engineering, 14 (9), 913–922. doi:10.1061/(ASCE)HE.1943-5584.0000066
  • Yang, D., et al., 2009. An easily implemented agro-hydrological procedure with dynamic root simulation for water transfer in the crop–soil system: validation and application. Journal of Hydrology, 370, 177–190. doi:10.1016/j.jhydrol.2009.03.005
  • Zhou, J., et al., 2012. Numerical modeling of wheat irrigation using coupled HYDRUS and WOFOST models. Soil Science Society of America Journal, 76, 648–662. doi:10.2136/sssaj2010.0467

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.