Freely available mean daily discharge series from Czechia: what can be inferred from them?

Most hydrometeorological data from Czechia are still provided for a fee. This especially applies to time series with a finer step than monthly. The fact that the data must be paid with respect to an expert’s appraisement and that the proper licence agreement ratification has to be performed causes a...

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Main Author: Ledvinka Ondrej
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:E3S Web of Conferences
Online Access:https://doi.org/10.1051/e3sconf/20171700051
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spelling doaj-a73165b20b2e4013a940a386f8f77d9f2021-03-02T10:59:38ZengEDP SciencesE3S Web of Conferences2267-12422017-01-01170005110.1051/e3sconf/20171700051e3sconf_eko2017_00051Freely available mean daily discharge series from Czechia: what can be inferred from them?Ledvinka Ondrej0Czech Hydrometeorological Institute, Hydrology Database and Water Budget DepartmentMost hydrometeorological data from Czechia are still provided for a fee. This especially applies to time series with a finer step than monthly. The fact that the data must be paid with respect to an expert’s appraisement and that the proper licence agreement ratification has to be performed causes a considerable delay in the data transfer to potential customers, unfortunately including scientists as well. Naturally, this time-consuming process is unpleasant to the experts on both sides. Due to a substantial rise of university students’ requests for data, the Czech Hydrometeorological Institute’s hydrologists launched a website from which long mean daily discharge series representing ten selected water-gauging stations can be downloaded. Besides other assessments, the series may play an important role when studying climate change impacts on water resources in Czechia. Therefore, the objective here was to extract from these series some preliminary information on long-term changes such as abrupt and gradual trends caused either by the construction of reservoirs or by climate variability itself. The main tool used was nonparametric trend analysis. Mainly different months were of interest so as to determine if there have been recorded some changes in seasonality. The results may be easily expanded by students.https://doi.org/10.1051/e3sconf/20171700051
collection DOAJ
language English
format Article
sources DOAJ
author Ledvinka Ondrej
spellingShingle Ledvinka Ondrej
Freely available mean daily discharge series from Czechia: what can be inferred from them?
E3S Web of Conferences
author_facet Ledvinka Ondrej
author_sort Ledvinka Ondrej
title Freely available mean daily discharge series from Czechia: what can be inferred from them?
title_short Freely available mean daily discharge series from Czechia: what can be inferred from them?
title_full Freely available mean daily discharge series from Czechia: what can be inferred from them?
title_fullStr Freely available mean daily discharge series from Czechia: what can be inferred from them?
title_full_unstemmed Freely available mean daily discharge series from Czechia: what can be inferred from them?
title_sort freely available mean daily discharge series from czechia: what can be inferred from them?
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2017-01-01
description Most hydrometeorological data from Czechia are still provided for a fee. This especially applies to time series with a finer step than monthly. The fact that the data must be paid with respect to an expert’s appraisement and that the proper licence agreement ratification has to be performed causes a considerable delay in the data transfer to potential customers, unfortunately including scientists as well. Naturally, this time-consuming process is unpleasant to the experts on both sides. Due to a substantial rise of university students’ requests for data, the Czech Hydrometeorological Institute’s hydrologists launched a website from which long mean daily discharge series representing ten selected water-gauging stations can be downloaded. Besides other assessments, the series may play an important role when studying climate change impacts on water resources in Czechia. Therefore, the objective here was to extract from these series some preliminary information on long-term changes such as abrupt and gradual trends caused either by the construction of reservoirs or by climate variability itself. The main tool used was nonparametric trend analysis. Mainly different months were of interest so as to determine if there have been recorded some changes in seasonality. The results may be easily expanded by students.
url https://doi.org/10.1051/e3sconf/20171700051
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