Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.102
IF3.102
IF 5-year value: 3.284
IF 5-year
3.284
CiteScore value: 5.1
CiteScore
5.1
SNIP value: 1.37
SNIP1.37
IPP value: 3.21
IPP3.21
SJR value: 1.005
SJR1.005
Scimago H <br class='widget-line-break'>index value: 90
Scimago H
index
90
h5-index value: 42
h5-index42
Download
Short summary
Regional climate models (RCMs) are commonly used for high-resolution assessment of climate change impacts. This research assesses the reliability of several RCMs in a Mediterranean area (southern Italy), comparing historic climate and drought characteristics with high-density and high-quality ground-based observational datasets. We propose a general methodology and identify the more skilful models able to reproduce precipitation and temperature variability as well as drought characteristics.
Altmetrics
Final-revised paper
Preprint
NHESS | Articles | Volume 20, issue 11
Nat. Hazards Earth Syst. Sci., 20, 3057–3082, 2020
https://doi.org/10.5194/nhess-20-3057-2020

Special issue: Recent advances in drought and water scarcity monitoring,...

Nat. Hazards Earth Syst. Sci., 20, 3057–3082, 2020
https://doi.org/10.5194/nhess-20-3057-2020

Research article 14 Nov 2020

Research article | 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 et al.

Related authors

Influence of uncertain identification of triggering rainfall on the assessment of landslide early warning thresholds
David J. Peres, Antonino Cancelliere, Roberto Greco, and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 18, 633–646, https://doi.org/10.5194/nhess-18-633-2018,https://doi.org/10.5194/nhess-18-633-2018, 2018
Short summary
Derivation and evaluation of landslide-triggering thresholds by a Monte Carlo approach
D. J. Peres and A. Cancelliere
Hydrol. Earth Syst. Sci., 18, 4913–4931, https://doi.org/10.5194/hess-18-4913-2014,https://doi.org/10.5194/hess-18-4913-2014, 2014
Short summary

Related subject area

Hydrological Hazards
Drought propagation and its impact on groundwater hydrology of wetlands: a case study on the Doode Bemde nature reserve (Belgium)
Buruk Kitachew Wossenyeleh, Kaleb Asnake Worku, Boud Verbeiren, and Marijke Huysmans
Nat. Hazards Earth Syst. Sci., 21, 39–51, https://doi.org/10.5194/nhess-21-39-2021,https://doi.org/10.5194/nhess-21-39-2021, 2021
Short summary
Modelling the Brumadinho tailings dam failure, the subsequent loss of life and how it could have been reduced
Darren Lumbroso, Mark Davison, Richard Body, and Gregor Petkovšek
Nat. Hazards Earth Syst. Sci., 21, 21–37, https://doi.org/10.5194/nhess-21-21-2021,https://doi.org/10.5194/nhess-21-21-2021, 2021
Short summary
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
Short summary
Downsizing parameter ensembles for simulations of rare floods
Anna E. Sikorska-Senoner, Bettina Schaefli, and Jan Seibert
Nat. Hazards Earth Syst. Sci., 20, 3521–3549, https://doi.org/10.5194/nhess-20-3521-2020,https://doi.org/10.5194/nhess-20-3521-2020, 2020
Short summary
Dynamic maps of human exposure to floods based on mobile phone data
Matteo Balistrocchi, Rodolfo Metulini, Maurizio Carpita, and Roberto Ranzi
Nat. Hazards Earth Syst. Sci., 20, 3485–3500, https://doi.org/10.5194/nhess-20-3485-2020,https://doi.org/10.5194/nhess-20-3485-2020, 2020
Short summary

Cited articles

Adeniyi, M. O. and Dilau, K. A.: Assessing the link between Atlantic Niño 1 and drought over West Africa using CORDEX regional climate models, Theor. Appl. Climatol., 131, 937–949, https://doi.org/10.1007/s00704-016-2018-0, 2018. 
Arnell, N., Liu, C., Compagnucci, R., da Cunha, L., Hanaki, K., Howe, C., Mailu, G., Shiklomanov, I., Stakhiv, E., and Doll, P.: Hydrology and Water Resources, in: Climate Change2001: Impacts, Adaptation, and Vulnerability, edited by: McCarthy, J. J., Canziani, O. F., Leary, N. A., Dokken, D. J., and White, K. S., Cambridge University Press, Cambridge, UK, 192–234, 2001. 
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., Reinhardt, T., Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities, Mon. Weather Rev., 139, 3887–3905, https://doi.org/10.1175/MWR-D-10-05013.1, 2011. 
Bentsen, M., Bethke, I., Debernard, J. B., Iversen, T., Kirkevåg, A., Seland, Ø., Drange, H., Roelandt, C., Seierstad, I. A., Hoose, C., and Kristjánsson, J. E.: The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate, Geosci. Model Dev., 6, 687–720, https://doi.org/10.5194/gmd-6-687-2013, 2013. 
Bonaccorso, B., Cancelliere, A., and Rossi, G.: An analytical formulation of return period of drought severity, Stoch. Environ. Res. Risk Assess., 17, 157–174, https://doi.org/10.1007/s00477-003-0127-7, 2003. 
Publications Copernicus
Download
Short summary
Regional climate models (RCMs) are commonly used for high-resolution assessment of climate change impacts. This research assesses the reliability of several RCMs in a Mediterranean area (southern Italy), comparing historic climate and drought characteristics with high-density and high-quality ground-based observational datasets. We propose a general methodology and identify the more skilful models able to reproduce precipitation and temperature variability as well as drought characteristics.
Citation
Altmetrics
Final-revised paper
Preprint