Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.153 IF 5.153
  • IF 5-year value: 5.460 IF 5-year
    5.460
  • CiteScore value: 7.8 CiteScore
    7.8
  • SNIP value: 1.623 SNIP 1.623
  • IPP value: 4.91 IPP 4.91
  • SJR value: 2.092 SJR 2.092
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 123 Scimago H
    index 123
  • h5-index value: 65 h5-index 65
Preprints
https://doi.org/10.5194/hess-2020-252
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-2020-252
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  06 Jul 2020

06 Jul 2020

Review status
This preprint is currently under review for the journal HESS.

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

Simone Gelsinari1,2, Valentijn R. N. Pauwels1, Edoardo Daly1, Jos van Dam3, Remko Uijlenhoet4, and Rebecca Doble2 Simone Gelsinari et al.
  • 1Department of Civil Engineering, Monash University, Clayton, Victoria, Australia
  • 2CSIRO Land and Water, Waite Campus, Glen Osmond, South Australia, Australia
  • 3Soil physics and Land Management, Wageningen University & Research, Wageningen, The Netherlands
  • 4Hydrology and Quantitative Water Management Group, Wageningen University & Research, Wageningen, The Netherlands

Abstract. The bio-physical processes occurring in the unsaturated zone have a direct impact on the water table dynamics. Conceptual models, with a simplified representation of the unsaturated zone dynamics, are often selected for coupling to groundwater models, while physically-based models are widely used, particularly at the field scale, for an accurate representation of the water transport. The recharge rates estimated by these Unsaturated Zone Models (UZMs) can then be used as input for groundwater models. Because recharge estimates are always affected by uncertainty, model-data fusion methods, such as data assimilation, can be used to reduce the uncertainty in the model results. In this study, the required complexity (i.e. conceptual versus physically-based) of the unsaturated zone model to update groundwater models through the assimilation of evapotranspiration (ET) rates is assessed for a water-limited site in South Australia. ET rates are assimilated because they have been shown to be related to the groundwater table dynamics, and thus form the link between remote sensing data and the deeper parts of the soil profile. It has been found that, under the test site conditions, a conceptual UZM can be used to improve groundwater model results through the assimilation of ET rates.

Simone Gelsinari et al.

Interactive discussion

Status: open (until 12 Sep 2020)
Status: open (until 12 Sep 2020)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Simone Gelsinari et al.

Simone Gelsinari et al.

Viewed

Total article views: 259 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
193 57 9 259 6 7
  • HTML: 193
  • PDF: 57
  • XML: 9
  • Total: 259
  • BibTeX: 6
  • EndNote: 7
Views and downloads (calculated since 06 Jul 2020)
Cumulative views and downloads (calculated since 06 Jul 2020)

Viewed (geographical distribution)

Total article views: 215 (including HTML, PDF, and XML) Thereof 215 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 11 Aug 2020
Publications Copernicus
Download
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. Use 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.
Estimates of recharge to groundwater are often driven by biophysical processes occurring in the...
Citation