Evdokia Tapoglou
Climate change impact on the frequency of hydrometeorological extremes in the island of Crete
Tapoglou, Evdokia; Vozinaki, Anthi; Tsanis, Ioannis
Authors
Anthi Vozinaki
Ioannis Tsanis
Abstract
© 2019 by the authors. Frequency analysis on extreme hydrological and meteorological events under the effect of climate change is performed in the island of Crete. Data from Regional Climate Model simulations (RCMs) that follow three Representative Concentration Pathways (RCP2.6, RCP4.5, RCP8.5) are used in the analysis. The analysis was performed for the 1985-2100 time period, divided into three equal-duration time slices (1985-2010, 2025-2050, and 2075-2100). Comparison between the results from the three time slices for the different RCMs under different RCP scenarios indicate that drought events are expected to increase in the future. The meteorological and hydrological drought indices, relative Standardized Precipitation Index (SPI) and Standardized Runoff index (SRI), are used to identify the number of drought events for each RCM. Results from extreme precipitation, extreme flow, meteorological and hydrological drought frequency analysis over Crete show that the impact of climate change on the magnitude of 100 years return period extreme events will also increase, along with the magnitude of extreme precipitation and flow events.
Citation
Tapoglou, E., Vozinaki, A., & Tsanis, I. (2019). Climate change impact on the frequency of hydrometeorological extremes in the island of Crete. Water, 11(3), Article 587. https://doi.org/10.3390/w11030587
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 19, 2019 |
Online Publication Date | Mar 21, 2019 |
Publication Date | Mar 1, 2019 |
Deposit Date | Oct 4, 2019 |
Publicly Available Date | Oct 7, 2019 |
Journal | Water (Switzerland) |
Electronic ISSN | 2073-4441 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 11 |
Issue | 3 |
Article Number | 587 |
DOI | https://doi.org/10.3390/w11030587 |
Keywords | Climate change; Frequency analysis; Drought indicators; Extreme events |
Public URL | https://hull-repository.worktribe.com/output/2851175 |
Publisher URL | https://www.mdpi.com/2073-4441/11/3/587 |
Contract Date | Oct 7, 2019 |
Files
Published article
(5.2 Mb)
PDF
Copyright Statement
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
You might also like
Time‐Domain Implementation and Analyses of Multi‐Motion Modes of Floating Structures
(2022)
Journal Article
Hydrometeorological impact of climate change in two Mediterranean basins
(2018)
Journal Article
A spatio-temporal hybrid neural network-Kriging model for groundwater level simulation
(2014)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search