Long‐term variations and temporal scaling of hydroclimatic time series with focus on the German part of the Elbe River Basin
Abstract Long‐term variations and temporal scaling of mean monthly time series of river flow, precipitation, temperature, relative humidity, air pressure, duration of bright sunshine, degree of cloud cover, short wave radiation, wind speed and potential evaporation within or in vicinity of the Germa...
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crwiley:10.1002/hyp.9783 2024-09-15T18:23:37+00:00 Long‐term variations and temporal scaling of hydroclimatic time series with focus on the German part of the Elbe River Basin Markovic, D. Koch, M. 2013 http://dx.doi.org/10.1002/hyp.9783 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fhyp.9783 https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.9783 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Hydrological Processes volume 28, issue 4, page 2202-2211 ISSN 0885-6087 1099-1085 journal-article 2013 crwiley https://doi.org/10.1002/hyp.9783 2024-08-13T04:14:21Z Abstract Long‐term variations and temporal scaling of mean monthly time series of river flow, precipitation, temperature, relative humidity, air pressure, duration of bright sunshine, degree of cloud cover, short wave radiation, wind speed and potential evaporation within or in vicinity of the German part of the Elbe River Basin are analyzed. Statistically significant correlations between the 2–15 year scale‐averaged wavelet spectra of the hydroclimatic variables and the North Atlantic Oscillation‐ and Arctic Oscillation index are found which suggests that such long‐term patterns in hydroclimatic time series are externally forced. The Hurst parameter estimates (H) based on the Detrended Fluctuation Analysis (DFA) indicate persistence for discharge, precipitation, wind speed, air pressure and the degree of cloud cover, all having an annual cycle and a broad low‐frequency distribution. Also, DFA H parameter estimates are higher for discharge than for precipitation. The major long‐term quasi‐periodic variability modes of precipitation detected using Singular Spectrum Analysis coincide with those detected in the discharge time series. Upon subtraction of these low‐frequency quasi‐periodic modes, the DFA H parameter estimates suggest absence of the persistence for both precipitation and discharge. Copyright © 2013 John Wiley & Sons, Ltd. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Wiley Online Library Hydrological Processes 28 4 2202 2211 |
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Wiley Online Library |
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English |
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Abstract Long‐term variations and temporal scaling of mean monthly time series of river flow, precipitation, temperature, relative humidity, air pressure, duration of bright sunshine, degree of cloud cover, short wave radiation, wind speed and potential evaporation within or in vicinity of the German part of the Elbe River Basin are analyzed. Statistically significant correlations between the 2–15 year scale‐averaged wavelet spectra of the hydroclimatic variables and the North Atlantic Oscillation‐ and Arctic Oscillation index are found which suggests that such long‐term patterns in hydroclimatic time series are externally forced. The Hurst parameter estimates (H) based on the Detrended Fluctuation Analysis (DFA) indicate persistence for discharge, precipitation, wind speed, air pressure and the degree of cloud cover, all having an annual cycle and a broad low‐frequency distribution. Also, DFA H parameter estimates are higher for discharge than for precipitation. The major long‐term quasi‐periodic variability modes of precipitation detected using Singular Spectrum Analysis coincide with those detected in the discharge time series. Upon subtraction of these low‐frequency quasi‐periodic modes, the DFA H parameter estimates suggest absence of the persistence for both precipitation and discharge. Copyright © 2013 John Wiley & Sons, Ltd. |
format |
Article in Journal/Newspaper |
author |
Markovic, D. Koch, M. |
spellingShingle |
Markovic, D. Koch, M. Long‐term variations and temporal scaling of hydroclimatic time series with focus on the German part of the Elbe River Basin |
author_facet |
Markovic, D. Koch, M. |
author_sort |
Markovic, D. |
title |
Long‐term variations and temporal scaling of hydroclimatic time series with focus on the German part of the Elbe River Basin |
title_short |
Long‐term variations and temporal scaling of hydroclimatic time series with focus on the German part of the Elbe River Basin |
title_full |
Long‐term variations and temporal scaling of hydroclimatic time series with focus on the German part of the Elbe River Basin |
title_fullStr |
Long‐term variations and temporal scaling of hydroclimatic time series with focus on the German part of the Elbe River Basin |
title_full_unstemmed |
Long‐term variations and temporal scaling of hydroclimatic time series with focus on the German part of the Elbe River Basin |
title_sort |
long‐term variations and temporal scaling of hydroclimatic time series with focus on the german part of the elbe river basin |
publisher |
Wiley |
publishDate |
2013 |
url |
http://dx.doi.org/10.1002/hyp.9783 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fhyp.9783 https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.9783 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
Hydrological Processes volume 28, issue 4, page 2202-2211 ISSN 0885-6087 1099-1085 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/hyp.9783 |
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Hydrological Processes |
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28 |
container_issue |
4 |
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2202 |
op_container_end_page |
2211 |
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1810463859784286208 |