Articles | Volume 25, issue 4
https://doi.org/10.5194/hess-25-2261-2021
https://doi.org/10.5194/hess-25-2261-2021
Research article
 | 
27 Apr 2021
Research article |  | 27 Apr 2021

Unsaturated zone model complexity for the assimilation of evapotranspiration rates in groundwater modelling

Simone Gelsinari, Valentijn R. N. Pauwels, Edoardo Daly, Jos van Dam, Remko Uijlenhoet, Nicholas Fewster-Young, and Rebecca Doble

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Cited articles

Bakker, M., Post, V., Langevin, C. D., Hughes, J. D., White, J. T., Starn, J. J., and Fienen, M. N.: Scripting MODFLOW Model Development Using Python and FloPy, Groundwater, 54, 733–739, https://doi.org/10.1111/gwat.12413, 2016. a
Banks, E. W., Brunner, P., and Simmons, C. T.: Vegetation controls on variably saturated processes between surface water and groundwater and their impact on the state of connection, Water Resour. Res., 47, 1–14, https://doi.org/10.1029/2011WR010544, 2011. a
Batelaan, O. and De Smedt, F.: GIS-based recharge estimation by coupling surface-subsurface water balances, J. Hydrol., 337, 337–355, https://doi.org/10.1016/j.jhydrol.2007.02.001, 2007. a
Benyon, R. G. and Doody, T. M.: Water Use by Tree Plantations in South East South Australia, CSIRO Forestry and Forest Products, Tech. Rep., CSIRO, available at: http://www.ffp.csiro.au/http://www.dwlbc.sa.gov.au/http://www.secatchment.com.au/ (last access: 5 February 2019), 2004. a
Benyon, R. G., Theiveyanathan, S., and Doody, T. M.: Impacts of tree plantations on groundwater in south-eastern Australia, Aust. J. Bot., 54, 181, https://doi.org/10.1071/BT05046, 2006. a, b, c
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Short summary
Estimates of recharge to groundwater are often driven by biophysical processes occurring in the soil column and, particularly in remote areas, are also always affected by uncertainty. Using data assimilation techniques to merge remotely sensed observations with outputs of numerical models is one way to reduce this uncertainty. Here, we show the benefits of using such a technique with satellite evapotranspiration rates and coupled hydrogeological models applied to a semi-arid site in Australia.
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