Articles | Volume 24, issue 4
https://doi.org/10.5194/hess-24-1985-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-1985-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Apr 2020
Research article |
| 22 Apr 2020
| 22 Apr 2020
Catchment-scale drought: capturing the whole drought cycle using multiple indicators
Abraham J. Gibson
CORRESPONDING AUTHOR
School of Environmental and Life Sciences, Faculty of Science, The
University of Newcastle, Callaghan, New South Wales 2308, Australia
Danielle C. Verdon-Kidd
School of Environmental and Life Sciences, Faculty of Science, The
University of Newcastle, Callaghan, New South Wales 2308, Australia
Greg R. Hancock
School of Environmental and Life Sciences, Faculty of Science, The
University of Newcastle, Callaghan, New South Wales 2308, Australia
Garry Willgoose
School of Engineering, The University of Newcastle,
Callaghan, New South Wales 2308, Australia
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Cited
23 citations as recorded by crossref.
- Watershed Ecohydrological Processes in a Changing Environment: Opportunities and Challenges Z. Cao et al. 10.3390/w14091502
- Drought propagation under global warming: Characteristics, approaches, processes, and controlling factors X. Zhang et al. 10.1016/j.scitotenv.2022.156021
- Characterising the seasonal nature of meteorological drought onset and termination across Australia A. Gibson et al. 10.1071/ES21009
- Assessing topographic effects on forest responses to drought with multiple seasonal metrics from Sentinel-2 Y. Sang et al. 10.1016/j.jag.2024.103789
- Analysis of Drought Characteristics Projections for the Tibetan Plateau Based on the GFDL-ESM2M Climate Model Y. Liu et al. 10.3390/rs14205084
- Assessing digital elevation model resolution for soil organic carbon prediction A. Gibson et al. 10.1016/j.geoderma.2021.115106
- Linking different drought types in a small catchment from a statistical perspective – Case study of the Wernersbach catchment, Germany I. Vorobevskii et al. 10.1016/j.hydroa.2022.100122
- Localizing the analysis of drought impacts on KwaZulu-Natal's commercial forests M. Buthelezi et al. 10.1016/j.rsase.2022.100849
- Building capacity for a user-centred Integrated Early Warning System (I-EWS) for drought in the Northern Murray-Darling Basin J. Bhardwaj et al. 10.1007/s11069-021-04575-2
- NDVI Response to Satellite-Estimated Antecedent Precipitation in Dryland Pastures C. Brieva et al. 10.3390/rs15143615
- Historical and future drought impacts in the Pacific islands and atolls V. Iese et al. 10.1007/s10584-021-03112-1
- Attribution mechanism of drought propagation time with changes in climate and underlying surface K. Zhou et al. 10.1016/j.ejrh.2024.102041
- Estimation of water required to recover from agricultural drought: Perspective from regression and probabilistic analysis methods Z. Xu et al. 10.1016/j.jhydrol.2022.128888
- Identifying driving processes of drought recovery in the southern Andes natural catchments J. Vega-Briones et al. 10.1016/j.ejrh.2023.101369
- Using soil-moisture drought indices to evaluate key indicators of agricultural drought in semi-arid Mediterranean Southern Africa A. Watson et al. 10.1016/j.scitotenv.2021.152464
- The role of heavy rainfall in drought in Australia T. Parker & A. Gallant 10.1016/j.wace.2022.100528
- Utilizing the Google Earth Engine for Agricultural Drought Conditions and Hazard Assessment Using Drought Indices in the Najd Region, Sultanate of Oman M. Al Nadabi et al. 10.3390/rs16162960
- Propagation pathways from meteorological to agricultural drought in different climatic basins in iran M. Mohammadi Ghaleni et al. 10.1007/s11356-024-35172-y
- Comparing the performance of drought indicators in Australia from 1900 to 2018 S. Askarimarnani et al. 10.1002/joc.6737
- Influence of cascade reservoir operation in the Upper Mekong River on the general hydrological regime: A combined data-driven modeling approach X. Yuan et al. 10.1016/j.jenvman.2022.116339
- Temporal stability of soil organic carbon in grazing lands of Eastern Australia A. Gibson et al. 10.1080/00049182.2023.2251629
- Suspended sediment load estimation in an ungauged river in south‐eastern Australia A. Gibson & G. Hancock 10.1002/rra.3558
- Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithm S. Mohamadi et al. 10.1007/s11069-020-04180-9
21 citations as recorded by crossref.
- Watershed Ecohydrological Processes in a Changing Environment: Opportunities and Challenges Z. Cao et al. 10.3390/w14091502
- Drought propagation under global warming: Characteristics, approaches, processes, and controlling factors X. Zhang et al. 10.1016/j.scitotenv.2022.156021
- Characterising the seasonal nature of meteorological drought onset and termination across Australia A. Gibson et al. 10.1071/ES21009
- Assessing topographic effects on forest responses to drought with multiple seasonal metrics from Sentinel-2 Y. Sang et al. 10.1016/j.jag.2024.103789
- Analysis of Drought Characteristics Projections for the Tibetan Plateau Based on the GFDL-ESM2M Climate Model Y. Liu et al. 10.3390/rs14205084
- Assessing digital elevation model resolution for soil organic carbon prediction A. Gibson et al. 10.1016/j.geoderma.2021.115106
- Linking different drought types in a small catchment from a statistical perspective – Case study of the Wernersbach catchment, Germany I. Vorobevskii et al. 10.1016/j.hydroa.2022.100122
- Localizing the analysis of drought impacts on KwaZulu-Natal's commercial forests M. Buthelezi et al. 10.1016/j.rsase.2022.100849
- Building capacity for a user-centred Integrated Early Warning System (I-EWS) for drought in the Northern Murray-Darling Basin J. Bhardwaj et al. 10.1007/s11069-021-04575-2
- NDVI Response to Satellite-Estimated Antecedent Precipitation in Dryland Pastures C. Brieva et al. 10.3390/rs15143615
- Historical and future drought impacts in the Pacific islands and atolls V. Iese et al. 10.1007/s10584-021-03112-1
- Attribution mechanism of drought propagation time with changes in climate and underlying surface K. Zhou et al. 10.1016/j.ejrh.2024.102041
- Estimation of water required to recover from agricultural drought: Perspective from regression and probabilistic analysis methods Z. Xu et al. 10.1016/j.jhydrol.2022.128888
- Identifying driving processes of drought recovery in the southern Andes natural catchments J. Vega-Briones et al. 10.1016/j.ejrh.2023.101369
- Using soil-moisture drought indices to evaluate key indicators of agricultural drought in semi-arid Mediterranean Southern Africa A. Watson et al. 10.1016/j.scitotenv.2021.152464
- The role of heavy rainfall in drought in Australia T. Parker & A. Gallant 10.1016/j.wace.2022.100528
- Utilizing the Google Earth Engine for Agricultural Drought Conditions and Hazard Assessment Using Drought Indices in the Najd Region, Sultanate of Oman M. Al Nadabi et al. 10.3390/rs16162960
- Propagation pathways from meteorological to agricultural drought in different climatic basins in iran M. Mohammadi Ghaleni et al. 10.1007/s11356-024-35172-y
- Comparing the performance of drought indicators in Australia from 1900 to 2018 S. Askarimarnani et al. 10.1002/joc.6737
- Influence of cascade reservoir operation in the Upper Mekong River on the general hydrological regime: A combined data-driven modeling approach X. Yuan et al. 10.1016/j.jenvman.2022.116339
- Temporal stability of soil organic carbon in grazing lands of Eastern Australia A. Gibson et al. 10.1080/00049182.2023.2251629
2 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
To be better prepared for drought, we need to be able to characterize how they begin, translate to on-ground impacts and how they end. We created a 100-year drought record for an area on the east coast of Australia and compared this with soil moisture and vegetation data. Drought reduces vegetation and soil moisture, but recovery rates are different across different catchments. Our methods can be universally applied and show the need to develop area-specific data to inform drought management.
To be better prepared for drought, we need to be able to characterize how they begin, translate...
