Articles | Volume 18, issue 4
https://doi.org/10.5194/hess-18-1273-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-1273-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Apr 2014
Research article |
| 03 Apr 2014
Modelling overbank flood recharge at a continental scale
R. Doble
Water for a Healthy Country, National Research Flagship, CSIRO Land and Water, PMB 2 Glen Osmond, SA, 5064, Australia
R. Crosbie
Water for a Healthy Country, National Research Flagship, CSIRO Land and Water, PMB 2 Glen Osmond, SA, 5064, Australia
L. Peeters
Water for a Healthy Country, National Research Flagship, CSIRO Land and Water, PMB 2 Glen Osmond, SA, 5064, Australia
K. Joehnk
Water for a Healthy Country, National Research Flagship, CSIRO Land and Water, PMB 1666 Canberra, ACT, 2601, Australia
C. Ticehurst
Water for a Healthy Country, National Research Flagship, CSIRO Land and Water, PMB 1666 Canberra, ACT, 2601, Australia
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Cited
13 citations as recorded by crossref.
- Hydromorphological attributes for all Australian river reaches derived from Landsat dynamic inundation remote sensing J. Hou et al. 10.5194/essd-11-1003-2019
- Spatiotemporal evaluation of inundated areas using MODIS imagery at a catchment scale I. Fuentes et al. 10.1016/j.jhydrol.2019.03.103
- Comparison of Surface Water Volume Estimation Methodologies That Couple Surface Reflectance Data and Digital Terrain Models I. Fuentes et al. 10.3390/w11040780
- An overview of groundwater response to a changing climate in the Murray-Darling Basin, Australia: potential implications for the basin system and opportunities for management R. Doble et al. 10.1007/s10040-023-02723-5
- Where does all the water go? Partitioning water transmission losses in a data-sparse, multi-channel and low-gradient dryland river system using modelling and remote sensing A. Jarihani et al. 10.1016/j.jhydrol.2015.08.030
- The Strengths and Limitations in Using the Daily MODIS Open Water Likelihood Algorithm for Identifying Flood Events C. Ticehurst et al. 10.3390/rs61211791
- Development and application of a large scale river system model for National Water Accounting in Australia D. Dutta et al. 10.1016/j.jhydrol.2017.01.040
- Characterizing the spatiotemporal variability of groundwater levels of alluvial aquifers in different settings using drought indices J. Haas & S. Birk 10.5194/hess-21-2421-2017
- Impact of river water levels on the simulation of stream–aquifer exchanges over the Upper Rhine alluvial aquifer (France/Germany) J. Vergnes & F. Habets 10.1007/s10040-018-1788-0
- Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods S. Grimaldi et al. 10.1029/2018WR024289
- Improving the accuracy of daily MODIS OWL flood inundation mapping using hydrodynamic modelling C. Ticehurst et al. 10.1007/s11069-015-1743-5
- Evaluation of infiltration from losing-disconnected rivers using a geophysical characterisation of the riverbed and a simplified infiltration model R. Crosbie et al. 10.1016/j.jhydrol.2013.07.045
- Site suitability and water availability for a managed aquifer recharge project in the Namoi basin, Australia I. Fuentes & R. Vervoort 10.1016/j.ejrh.2019.100657
10 citations as recorded by crossref.
- Hydromorphological attributes for all Australian river reaches derived from Landsat dynamic inundation remote sensing J. Hou et al. 10.5194/essd-11-1003-2019
- Spatiotemporal evaluation of inundated areas using MODIS imagery at a catchment scale I. Fuentes et al. 10.1016/j.jhydrol.2019.03.103
- Comparison of Surface Water Volume Estimation Methodologies That Couple Surface Reflectance Data and Digital Terrain Models I. Fuentes et al. 10.3390/w11040780
- An overview of groundwater response to a changing climate in the Murray-Darling Basin, Australia: potential implications for the basin system and opportunities for management R. Doble et al. 10.1007/s10040-023-02723-5
- Where does all the water go? Partitioning water transmission losses in a data-sparse, multi-channel and low-gradient dryland river system using modelling and remote sensing A. Jarihani et al. 10.1016/j.jhydrol.2015.08.030
- The Strengths and Limitations in Using the Daily MODIS Open Water Likelihood Algorithm for Identifying Flood Events C. Ticehurst et al. 10.3390/rs61211791
- Development and application of a large scale river system model for National Water Accounting in Australia D. Dutta et al. 10.1016/j.jhydrol.2017.01.040
- Characterizing the spatiotemporal variability of groundwater levels of alluvial aquifers in different settings using drought indices J. Haas & S. Birk 10.5194/hess-21-2421-2017
- Impact of river water levels on the simulation of stream–aquifer exchanges over the Upper Rhine alluvial aquifer (France/Germany) J. Vergnes & F. Habets 10.1007/s10040-018-1788-0
- Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods S. Grimaldi et al. 10.1029/2018WR024289
3 citations as recorded by crossref.
- Improving the accuracy of daily MODIS OWL flood inundation mapping using hydrodynamic modelling C. Ticehurst et al. 10.1007/s11069-015-1743-5
- Evaluation of infiltration from losing-disconnected rivers using a geophysical characterisation of the riverbed and a simplified infiltration model R. Crosbie et al. 10.1016/j.jhydrol.2013.07.045
- Site suitability and water availability for a managed aquifer recharge project in the Namoi basin, Australia I. Fuentes & R. Vervoort 10.1016/j.ejrh.2019.100657
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