Peer-Reviewed Journal Articles

Alongside producing reports and datasets MD-WERP researchers are also publishing results from MD-WERP research in peer-reviewed scientific journals.


Theme 1 Climate Adaptation

Project Title

Journal Article

FS: Climate Adaptation Foundational Science

Robertson, D.E., Chiew, F.H. and Potter, N., 2023. Adapting rainfall bias-corrections to improve hydrological simulations generated from climate model forcings. Journal of Hydrology, 619, p.129322.

Available at: https://doi.org/10.1016/j.jhydrol.2023.129322

Robertson, D.E., Zheng, H., Peña-Arancibia, J.L., Chiew, F.H., Aryal, S., Malerba, M. and Wright, N., 2023. How sensitive are catchment runoff estimates to on-farm storages under current and future climates?. Journal of Hydrology, 626, p.130185.

Available at: https://doi.org/10.1016/j.jhydrol.2023.130185

Peña-Arancibia, J.L., Malerba, M.E., Wright, N. and Robertson, D.E., 2023. Characterising the regional growth of on-farm storages and their implications for water resources under a changing climate. Journal of Hydrology, 625, p.130097.

Available at: https://doi.org/10.1016/j.jhydrol.2023.130097

Peña-Arancibia, J.L., Ticehurst, C.J., Yu, Y., McVicar, T.R. and Marvanek, S.P., 2024. Feasibility of monitoring floodplain on-farm water storages by integrating airborne and satellite LiDAR altimetry with optical remote sensing. Remote Sensing of Environment, 302, p.113992.

Available at: https://doi.org/10.1016/j.rse.2024.113992

Potter, N.J., Chiew, F.H. and Robertson, D.E., 2023. Stochastic generation of plausible hydroclimate futures using climate teleconnections for South-Eastern Australia. Journal of Hydrometeorology.

Available at: https://doi.org/10.1175/JHM-D-22-0206.1

Theme 1 and 2 joint paper

Chiew, F.H., Zheng, H., Potter, N.J., Charles, S.P., Thatcher, M., Ji, F., Syktus, J., Robertson, D.E. and Post, D.A., 2022. Different hydroclimate modelling approaches can lead to a large range of streamflow projections under climate change: implications for water resources management. Water, 14(17), p.2730.

Available at: https://www.mdpi.com/2073-4441/14/17/2730

Theme 2 Hydrology

Project Title

Journal Article

RQ6: Enhancing low flow prediction to support water resources planning

Crosbie, R., Wang, B., Kim, S., Mateo, C. and Vaze, J., 2023. Changes in the surface water–Groundwater interactions of the Murray-Darling basin (Australia) over the past half a century. Journal of Hydrology, 622, p.129683.

Available at: https://doi.org/10.1016/j.jhydrol.2023.129683

RQ7: Enhancing floodplain inundation and volume prediction to support environmental watering and water resource planning

Ticehurst, C., Teng, J. and Sengupta, A., 2022. Development of a Multi-Index Method Based on Landsat Reflectance Data to Map Open Water in a Complex Environment. Remote Sensing, 14(5), p.1158.

Available at: https://www.mdpi.com/2072-4292/14/5/1158

Teng, J., Penton, D.J., Ticehurst, C., Sengupta, A., Freebairn, A., Marvanek, S., Vaze, J., Gibbs, M., Streeton, N., Karim, F. and Morton, S., 2022. A Comprehensive Assessment of Floodwater Depth Estimation Models in Semiarid Regions. Water Resources Research, 58(11)

Available at: https://doi.org/10.1029/2022WR032031

Penton, D.J., Teng, J., Ticehurst, C., Marvanek, S., Freebairn, A., Mateo, C., Vaze, J., Yang, A., Khanam, F., Sengupta, A. and Pollino, C., 2023. The floodplain inundation history of the Murray-Darling Basin through two-monthly maximum water depth maps. Scientific Data, 10(1), p.652.

Available at: https://www.nature.com/articles/s41597-023-02559-4

Teng, J., Croke, B., Tan, D., Iwanaga, T., Jakeman, A.J., Pollino, C., Stratford, D., Vaze, J., Dawes, W., Bridgeman, P. and Sengupta, A., 2023. Development of a computationally efficient floodplain ecological response model for large-scale, data-sparse riparian environments. Ecological Informatics, 77, p.102252.

Available at: https://doi.org/10.1016/j.ecoinf.2023.102252

RQ8b: Groundwater as an adaptation to current water resources management

Fu, G., Rojas, R. and Gonzalez, D., 2022. Trends in Groundwater Levels in Alluvial Aquifers of the Murray–Darling Basin and Their Attributions. Water, 14(11), p.1808.

Available at: https://www.mdpi.com/2073-4441/14/11/1808

Rojas, R., Gonzalez, D. and Fu, G., 2023. Resilience, stress and sustainability of alluvial aquifers in the Murray-Darling Basin, Australia: Opportunities for groundwater management. Journal of Hydrology: Regional Studies, 47, p.101419.
Available at:
https://doi.org/10.1016/j.ejrh.2023.101419

Fu, G., Clark, S.R., Gonzalez, D., Rojas, R. and Janardhanan, S., 2023. Spatial and Temporal Patterns of Groundwater Levels: A Case Study of Alluvial Aquifers in the Murray–Darling Basin, Australia. Sustainability, 15(23), p.16295.

Available at: https://doi.org/10.3390/su152316295



Publications for theme's three and four are currently under peer-review.

Alongside producing reports and datasets MD-WERP researchers are also publishing results from MD-WERP research in peer-reviewed scientific journals.


Theme 1 Climate Adaptation

Project Title

Journal Article

FS: Climate Adaptation Foundational Science

Robertson, D.E., Chiew, F.H. and Potter, N., 2023. Adapting rainfall bias-corrections to improve hydrological simulations generated from climate model forcings. Journal of Hydrology, 619, p.129322.

Available at: https://doi.org/10.1016/j.jhydrol.2023.129322

Robertson, D.E., Zheng, H., Peña-Arancibia, J.L., Chiew, F.H., Aryal, S., Malerba, M. and Wright, N., 2023. How sensitive are catchment runoff estimates to on-farm storages under current and future climates?. Journal of Hydrology, 626, p.130185.

Available at: https://doi.org/10.1016/j.jhydrol.2023.130185

Peña-Arancibia, J.L., Malerba, M.E., Wright, N. and Robertson, D.E., 2023. Characterising the regional growth of on-farm storages and their implications for water resources under a changing climate. Journal of Hydrology, 625, p.130097.

Available at: https://doi.org/10.1016/j.jhydrol.2023.130097

Peña-Arancibia, J.L., Ticehurst, C.J., Yu, Y., McVicar, T.R. and Marvanek, S.P., 2024. Feasibility of monitoring floodplain on-farm water storages by integrating airborne and satellite LiDAR altimetry with optical remote sensing. Remote Sensing of Environment, 302, p.113992.

Available at: https://doi.org/10.1016/j.rse.2024.113992

Potter, N.J., Chiew, F.H. and Robertson, D.E., 2023. Stochastic generation of plausible hydroclimate futures using climate teleconnections for South-Eastern Australia. Journal of Hydrometeorology.

Available at: https://doi.org/10.1175/JHM-D-22-0206.1

Theme 1 and 2 joint paper

Chiew, F.H., Zheng, H., Potter, N.J., Charles, S.P., Thatcher, M., Ji, F., Syktus, J., Robertson, D.E. and Post, D.A., 2022. Different hydroclimate modelling approaches can lead to a large range of streamflow projections under climate change: implications for water resources management. Water, 14(17), p.2730.

Available at: https://www.mdpi.com/2073-4441/14/17/2730

Theme 2 Hydrology

Project Title

Journal Article

RQ6: Enhancing low flow prediction to support water resources planning

Crosbie, R., Wang, B., Kim, S., Mateo, C. and Vaze, J., 2023. Changes in the surface water–Groundwater interactions of the Murray-Darling basin (Australia) over the past half a century. Journal of Hydrology, 622, p.129683.

Available at: https://doi.org/10.1016/j.jhydrol.2023.129683

RQ7: Enhancing floodplain inundation and volume prediction to support environmental watering and water resource planning

Ticehurst, C., Teng, J. and Sengupta, A., 2022. Development of a Multi-Index Method Based on Landsat Reflectance Data to Map Open Water in a Complex Environment. Remote Sensing, 14(5), p.1158.

Available at: https://www.mdpi.com/2072-4292/14/5/1158

Teng, J., Penton, D.J., Ticehurst, C., Sengupta, A., Freebairn, A., Marvanek, S., Vaze, J., Gibbs, M., Streeton, N., Karim, F. and Morton, S., 2022. A Comprehensive Assessment of Floodwater Depth Estimation Models in Semiarid Regions. Water Resources Research, 58(11)

Available at: https://doi.org/10.1029/2022WR032031

Penton, D.J., Teng, J., Ticehurst, C., Marvanek, S., Freebairn, A., Mateo, C., Vaze, J., Yang, A., Khanam, F., Sengupta, A. and Pollino, C., 2023. The floodplain inundation history of the Murray-Darling Basin through two-monthly maximum water depth maps. Scientific Data, 10(1), p.652.

Available at: https://www.nature.com/articles/s41597-023-02559-4

Teng, J., Croke, B., Tan, D., Iwanaga, T., Jakeman, A.J., Pollino, C., Stratford, D., Vaze, J., Dawes, W., Bridgeman, P. and Sengupta, A., 2023. Development of a computationally efficient floodplain ecological response model for large-scale, data-sparse riparian environments. Ecological Informatics, 77, p.102252.

Available at: https://doi.org/10.1016/j.ecoinf.2023.102252

RQ8b: Groundwater as an adaptation to current water resources management

Fu, G., Rojas, R. and Gonzalez, D., 2022. Trends in Groundwater Levels in Alluvial Aquifers of the Murray–Darling Basin and Their Attributions. Water, 14(11), p.1808.

Available at: https://www.mdpi.com/2073-4441/14/11/1808

Rojas, R., Gonzalez, D. and Fu, G., 2023. Resilience, stress and sustainability of alluvial aquifers in the Murray-Darling Basin, Australia: Opportunities for groundwater management. Journal of Hydrology: Regional Studies, 47, p.101419.
Available at:
https://doi.org/10.1016/j.ejrh.2023.101419

Fu, G., Clark, S.R., Gonzalez, D., Rojas, R. and Janardhanan, S., 2023. Spatial and Temporal Patterns of Groundwater Levels: A Case Study of Alluvial Aquifers in the Murray–Darling Basin, Australia. Sustainability, 15(23), p.16295.

Available at: https://doi.org/10.3390/su152316295



Publications for theme's three and four are currently under peer-review.

Page last updated: 05 Feb 2024, 12:58 PM