Recent advances in drought and water scarcity monitoring, modelling, and forecasting (EGU2019, session HS4.1.1/NH1.31)
Recent advances in drought and water scarcity monitoring, modelling, and forecasting (EGU2019, session HS4.1.1/NH1.31)
Editor(s): Brunella Bonaccorso, Carmelo Cammalleri, Athanasios Loukas, and Heidi Kreibich
The purpose of the special issue is to present recent advances and future challenges in drought and water scarcity monitoring, modelling, and prediction capabilities to improve risk management, adaptation strategies, and resilience to such adverse events.
This special issue welcomes, but is not limited to, the most innovative contributions to EGU 2019 session HS4.1.1/NH1.31, mainly addressing the following topics:
drought monitoring tools able to merge multiple information sources, including satellite-based data describing vegetation status and evapotranspiration;
land surface hydrologic models driven by remote-sensing data, reanalysis datasets, or climate forecasts to investigate current or future drought impacts on water resources;
influence of internal ocean-atmosphere variability on the occurrence and magnitude of drought phenomena;
role of climate models in investigating the spatio-temporal evolution of drought under climate change conditions;
statistical approaches for drought characterization coupled with uncertainty analysis.

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02 Jun 2022
Preface: Recent advances in drought and water scarcity monitoring, modelling, and forecasting
Brunella Bonaccorso, Carmelo Cammalleri, Athanasios Loukas, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 1857–1862, https://doi.org/10.5194/nhess-22-1857-2022,https://doi.org/10.5194/nhess-22-1857-2022, 2022
24 Mar 2022
Spatiotemporal evolution and meteorological triggering conditions of hydrological drought in the Hun River basin, NE China
Shupeng Yue, Xiaodan Sheng, and Fengtian Yang
Nat. Hazards Earth Syst. Sci., 22, 995–1014, https://doi.org/10.5194/nhess-22-995-2022,https://doi.org/10.5194/nhess-22-995-2022, 2022
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03 Feb 2022
Spatio-temporal evolution of wet–dry event features and their transition across the Upper Jhelum Basin (UJB) in South Asia
Rubina Ansari and Giovanna Grossi
Nat. Hazards Earth Syst. Sci., 22, 287–302, https://doi.org/10.5194/nhess-22-287-2022,https://doi.org/10.5194/nhess-22-287-2022, 2022
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03 Dec 2021
Applying machine learning for drought prediction in a perfect model framework using data from a large ensemble of climate simulations
Elizaveta Felsche and Ralf Ludwig
Nat. Hazards Earth Syst. Sci., 21, 3679–3691, https://doi.org/10.5194/nhess-21-3679-2021,https://doi.org/10.5194/nhess-21-3679-2021, 2021
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21 Jul 2021
Assessment of centennial (1918–2019) drought features in the Campania region by historical in situ measurements (southern Italy)
Antonia Longobardi, Ouafik Boulariah, and Paolo Villani
Nat. Hazards Earth Syst. Sci., 21, 2181–2196, https://doi.org/10.5194/nhess-21-2181-2021,https://doi.org/10.5194/nhess-21-2181-2021, 2021
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03 May 2021
Soil moisture and streamflow deficit anomaly index: an approach to quantify drought hazards by combining deficit and anomaly
Eklavyya Popat and Petra Döll
Nat. Hazards Earth Syst. Sci., 21, 1337–1354, https://doi.org/10.5194/nhess-21-1337-2021,https://doi.org/10.5194/nhess-21-1337-2021, 2021
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04 Jan 2021
Assessment of probability distributions and analysis of the minimum storage draft rate in the equatorial region
Hasrul Hazman Hasan, Siti Fatin Mohd Razali, Nur Shazwani Muhammad, and Firdaus Mohamad Hamzah
Nat. Hazards Earth Syst. Sci., 21, 1–19, https://doi.org/10.5194/nhess-21-1-2021,https://doi.org/10.5194/nhess-21-1-2021, 2021
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14 Nov 2020
Evaluation of EURO-CORDEX (Coordinated Regional Climate Downscaling Experiment for the Euro-Mediterranean area) historical simulations by high-quality observational datasets in southern Italy: insights on drought assessment
David J. Peres, Alfonso Senatore, Paola Nanni, Antonino Cancelliere, Giuseppe Mendicino, and Brunella Bonaccorso
Nat. Hazards Earth Syst. Sci., 20, 3057–3082, https://doi.org/10.5194/nhess-20-3057-2020,https://doi.org/10.5194/nhess-20-3057-2020, 2020
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04 Jun 2020
Skill of large-scale seasonal drought impact forecasts
Samuel J. Sutanto, Melati van der Weert, Veit Blauhut, and Henny A. J. Van Lanen
Nat. Hazards Earth Syst. Sci., 20, 1595–1608, https://doi.org/10.5194/nhess-20-1595-2020,https://doi.org/10.5194/nhess-20-1595-2020, 2020
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30 Apr 2020
Improving early warning of drought-driven food insecurity in southern Africa using operational hydrological monitoring and forecasting products
Shraddhanand Shukla, Kristi R. Arsenault, Abheera Hazra, Christa Peters-Lidard, Randal D. Koster, Frank Davenport, Tamuka Magadzire, Chris Funk, Sujay Kumar, Amy McNally, Augusto Getirana, Greg Husak, Ben Zaitchik, Jim Verdin, Faka Dieudonne Nsadisa, and Inbal Becker-Reshef
Nat. Hazards Earth Syst. Sci., 20, 1187–1201, https://doi.org/10.5194/nhess-20-1187-2020,https://doi.org/10.5194/nhess-20-1187-2020, 2020
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30 Mar 2020
Linking drought indices to impacts to support drought risk assessment in Liaoning province, China
Yaxu Wang, Juan Lv, Jamie Hannaford, Yicheng Wang, Hongquan Sun, Lucy J. Barker, Miaomiao Ma, Zhicheng Su, and Michael Eastman
Nat. Hazards Earth Syst. Sci., 20, 889–906, https://doi.org/10.5194/nhess-20-889-2020,https://doi.org/10.5194/nhess-20-889-2020, 2020
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19 Feb 2020
A joint probabilistic index for objective drought identification: the case study of Haiti
Beatrice Monteleone, Brunella Bonaccorso, and Mario Martina
Nat. Hazards Earth Syst. Sci., 20, 471–487, https://doi.org/10.5194/nhess-20-471-2020,https://doi.org/10.5194/nhess-20-471-2020, 2020
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14 Jan 2020
Improving sub-seasonal forecast skill of meteorological drought: a weather pattern approach
Doug Richardson, Hayley J. Fowler, Christopher G. Kilsby, Robert Neal, and Rutger Dankers
Nat. Hazards Earth Syst. Sci., 20, 107–124, https://doi.org/10.5194/nhess-20-107-2020,https://doi.org/10.5194/nhess-20-107-2020, 2020
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23 Oct 2019
Extremeness of recent drought events in Switzerland: dependence on variable and return period choice
Manuela I. Brunner, Katharina Liechti, and Massimiliano Zappa
Nat. Hazards Earth Syst. Sci., 19, 2311–2323, https://doi.org/10.5194/nhess-19-2311-2019,https://doi.org/10.5194/nhess-19-2311-2019, 2019
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