Detection of future changes in seasonality in extreme short-term rainfall in selected stations of Slovakia
This paper analyses the projected changes in short-term rainfall events during the warm season (April–October) in an ensemble of 30 regional climate model (RCM) simulations. The seasonality analysis was done for the Hurbanovo, Bratislava, Oravská Lesná, and Myjava stations in Slovakia. The character...
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Format: | Article |
Language: | English |
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Earth Science Institute, Slovak Academy of Sciences, Slovakia
2017-06-01
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Series: | Contributions to Geophysics and Geodesy |
Subjects: | |
Online Access: | https://journal.geo.sav.sk/cgg/article/view/168 |
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author | Marianna VASILAKI Silvia KOHNOVÁ Martin HANEL Ján SZOLGAY Kamila HLAVČOVÁ Athanasios LOUKAS Peter RONČÁK |
author_facet | Marianna VASILAKI Silvia KOHNOVÁ Martin HANEL Ján SZOLGAY Kamila HLAVČOVÁ Athanasios LOUKAS Peter RONČÁK |
author_sort | Marianna VASILAKI |
collection | DOAJ |
description | This paper analyses the projected changes in short-term rainfall events during the warm season (April–October) in an ensemble of 30 regional climate model (RCM) simulations. The seasonality analysis was done for the Hurbanovo, Bratislava, Oravská Lesná, and Myjava stations in Slovakia. The characteristics of maximum rainfall events were analysed for two scenario periods, one past and one future (1960–2000 and 2070–2100) and compared to the characteristics of the actual observed events. The main findings from the analysis show that short-term events of 60 minutes appear to have stronger seasonality than daily events that show a rather high variability. The seasonality concentration index calculated for the 60 min events averages to 0.77, while that of daily events averaged to 0.65. The differences between the dates of the occurrence of past and future events are not significant in the lowland areas, while in the mountainous areas the future events have been found to occur earlier than past ones. |
first_indexed | 2024-12-13T04:55:29Z |
format | Article |
id | doaj.art-1c3b595cfad9469abb894a4877c1d02b |
institution | Directory Open Access Journal |
issn | 1338-0540 |
language | English |
last_indexed | 2024-12-13T04:55:29Z |
publishDate | 2017-06-01 |
publisher | Earth Science Institute, Slovak Academy of Sciences, Slovakia |
record_format | Article |
series | Contributions to Geophysics and Geodesy |
spelling | doaj.art-1c3b595cfad9469abb894a4877c1d02b2022-12-21T23:58:54ZengEarth Science Institute, Slovak Academy of Sciences, SlovakiaContributions to Geophysics and Geodesy1338-05402017-06-0147213314810.1515/congeo-2017-0009168Detection of future changes in seasonality in extreme short-term rainfall in selected stations of SlovakiaMarianna VASILAKI0Silvia KOHNOVÁ1Martin HANEL2Ján SZOLGAY3Kamila HLAVČOVÁ4Athanasios LOUKAS5Peter RONČÁK6Laboratory of Hydrology and Aquatic Systems Analysis, Department of Civil Engineering, University of ThessallyDept. of Land and Water Resources Management, Slovak University of TechnologyCzech University of Life Sciences Prague, Faculty of Environmental ScienceDept. of Land and Water Resources Management, Slovak University of TechnologyDept. of Land and Water Resources Management, Slovak University of TechnologyLaboratory of Hydrology and Aquatic Systems Analysis, Department of Civil Engineering, University of ThessallyDept. of Land and Water Resources Management, Slovak University of TechnologyThis paper analyses the projected changes in short-term rainfall events during the warm season (April–October) in an ensemble of 30 regional climate model (RCM) simulations. The seasonality analysis was done for the Hurbanovo, Bratislava, Oravská Lesná, and Myjava stations in Slovakia. The characteristics of maximum rainfall events were analysed for two scenario periods, one past and one future (1960–2000 and 2070–2100) and compared to the characteristics of the actual observed events. The main findings from the analysis show that short-term events of 60 minutes appear to have stronger seasonality than daily events that show a rather high variability. The seasonality concentration index calculated for the 60 min events averages to 0.77, while that of daily events averaged to 0.65. The differences between the dates of the occurrence of past and future events are not significant in the lowland areas, while in the mountainous areas the future events have been found to occur earlier than past ones.https://journal.geo.sav.sk/cgg/article/view/168seasonality analysis, short-term rainfall, rcm projections |
spellingShingle | Marianna VASILAKI Silvia KOHNOVÁ Martin HANEL Ján SZOLGAY Kamila HLAVČOVÁ Athanasios LOUKAS Peter RONČÁK Detection of future changes in seasonality in extreme short-term rainfall in selected stations of Slovakia Contributions to Geophysics and Geodesy seasonality analysis, short-term rainfall, rcm projections |
title | Detection of future changes in seasonality in extreme short-term rainfall in selected stations of Slovakia |
title_full | Detection of future changes in seasonality in extreme short-term rainfall in selected stations of Slovakia |
title_fullStr | Detection of future changes in seasonality in extreme short-term rainfall in selected stations of Slovakia |
title_full_unstemmed | Detection of future changes in seasonality in extreme short-term rainfall in selected stations of Slovakia |
title_short | Detection of future changes in seasonality in extreme short-term rainfall in selected stations of Slovakia |
title_sort | detection of future changes in seasonality in extreme short term rainfall in selected stations of slovakia |
topic | seasonality analysis, short-term rainfall, rcm projections |
url | https://journal.geo.sav.sk/cgg/article/view/168 |
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