the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Frequently used drought indices reflect different drought conditions on global scale
Abstract. Drought is an abnormal and prolonged deficit in available water. Possible drought impacts are crop losses, famine, fatalities, power blackouts and degraded ecosystems. These severe socio-economic and environmental impacts show the need to carefully monitor drought conditions using a suitable index. Our objective is to provide an intercomparison of frequently used physical drought indices to show to which degree they are interchangeable for monitoring drought in precipitation, soil moisture, groundwater and streamflow. Physical indices are commonly introduced to predict drought impacts, because appropriate drought impact indices are still missing. Correlations (R) between frequently used indices for different drought types were calculated at the global scale. We have made the index timeseries available to the community for future studies. Precipitation drought indices show low to intermediate correlations (ranging from R = 0.1 to 0.75), soil moisture drought indices show an even lower similarity (R = 0.25). Indices for streamflow drought show the highest correlation (R = 0.5 to 0.95). Additionally, meteorological drought indices do not capture the soil moisture drought correctly (R = 0.0 to 0.6) nor streamflow drought (R = 0.0 to 0.7). These findings have implications for drought monitoring systems: (i) for each drought type, a different index should carefully be identified; (ii) drought indices that are designed to monitor the same drought type show large discrepancies in their anomalies and hence drought detection; (iii) there is no single superior physical drought index that is capable of accurately capturing the diverse set of drought impacts in all parts of the hydrological cycle.
- Preprint
(4703 KB) - Metadata XML
- BibTeX
- EndNote
- RC1: 'Reviewer comments for 'Frequently used drought indices reflect different drought conditions on global scale'', Anonymous Referee #1, 29 Sep 2017
- RC2: 'Review of “Frequently used drought indices reflect different drought conditions on global scale” by Wanders et al.', Anonymous Referee #2, 21 Oct 2017
- RC3: 'Frequently used drought indices reflect different drought conditions on global scale” by Niko Wanders et al.', Anonymous Referee #3, 02 Nov 2017
- EC1: '1st Editor comment', Bettina Schaefli, 03 Nov 2017
- RC4: 'Review of Wanders et al', Anonymous Referee #4, 06 Nov 2017
- RC1: 'Reviewer comments for 'Frequently used drought indices reflect different drought conditions on global scale'', Anonymous Referee #1, 29 Sep 2017
- RC2: 'Review of “Frequently used drought indices reflect different drought conditions on global scale” by Wanders et al.', Anonymous Referee #2, 21 Oct 2017
- RC3: 'Frequently used drought indices reflect different drought conditions on global scale” by Niko Wanders et al.', Anonymous Referee #3, 02 Nov 2017
- EC1: '1st Editor comment', Bettina Schaefli, 03 Nov 2017
- RC4: 'Review of Wanders et al', Anonymous Referee #4, 06 Nov 2017
Viewed
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,606 | 1,068 | 65 | 2,739 | 84 | 105 |
- HTML: 1,606
- PDF: 1,068
- XML: 65
- Total: 2,739
- BibTeX: 84
- EndNote: 105
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
Cited
11 citations as recorded by crossref.
- A quantitative evaluation of the issue of drought definition: a source of disagreement in future drought assessments Y. Satoh et al. 10.1088/1748-9326/ac2348
- Linking reported drought impacts with drought indices, water scarcity and aridity: the case of Kenya M. Lam et al. 10.5194/nhess-23-2915-2023
- Estimation and easy calculation of the Palmer Drought Severity Index from the meteorological data by using the advanced machine learning algorithms F. Tufaner & A. Özbeyaz 10.1007/s10661-020-08539-0
- Sustainable development substantially reduces the risk of future drought impacts H. Tabari & P. Willems 10.1038/s43247-023-00840-3
- Potential of Pan-European Seasonal Hydrometeorological Drought Forecasts Obtained from a Multihazard Early Warning System S. Sutanto et al. 10.1175/BAMS-D-18-0196.1
- Association of farmers’ wellbeing in a drought-prone area, Thailand: applications of SPI and VCI indices W. Thavorntam et al. 10.1007/s10661-023-11157-1
- Hydrological Drought Characteristics Based on Groundwater and Runoff Across Europe S. Sutanto & H. Van Lanen 10.5194/piahs-383-281-2020
- Multi-model ensemble projections of soil moisture drought over North Africa and the Sahel region under 1.5, 2, and 3 °C global warming A. Elkouk et al. 10.1007/s10584-021-03202-0
- Significant relationships between drought indicators and impacts for the 2018–2019 drought in Germany A. Shyrokaya et al. 10.1088/1748-9326/ad10d9
- Using Maxent to model the distribution of Dasiphora fruticosa (L.) Rydb. in Mongolia M. Davaagerel et al. 10.5564/mjb.v5i31.3265
- Multi-driver ensemble to evaluate the water utility business interruption cost induced by hydrological drought risk scenarios in Brazil D. Guzmán et al. 10.1080/1573062X.2022.2058564