Heterogeneous spatiotemporal streamflow response to large-scale climate indexes in the Eastern Alps

Analyzing temporal and spatial variability of river discharge and the impacts of large-scale climate oscillations on hydrological systems are of particular interest in Alpine catchments, which have been proved to be especially sensitive to climatic drivers. The impact of climate oscillationindexes m...

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Main Authors: Teresa Perez Ciria, David Labat, Gabriele Chiogna
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2022
Subjects:
Online Access:https://doi.org/10.5281/zenodo.7986127
https://doi.org/10.1016/j.jhydrol.2022.128698
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author Teresa Perez Ciria
David Labat
Gabriele Chiogna
author_facet Teresa Perez Ciria
David Labat
Gabriele Chiogna
author_sort Teresa Perez Ciria
collection Zenodo
description Analyzing temporal and spatial variability of river discharge and the impacts of large-scale climate oscillations on hydrological systems are of particular interest in Alpine catchments, which have been proved to be especially sensitive to climatic drivers. The impact of climate oscillationindexes may show a delayed response and therefore the correlation between climatic drivers and streamflow is challenging to be properly identified. For this purpose, wavelet transform (WT) is recognized as a suitable tool able to determine the crucial scales of variability. In this work, first we explore the periodicities and the coherence among several climatic indexes: North Atlantic Oscillation Index (NAO), Mediterranean Oscillation Index (MO), Greenland Blocking Index (GB), and Artic Oscillation Index (AO). This analysis shows the complementary information that different oscillation indexes provide and the need to consider their impacts on streamflow simultaneously. Previous work revealed a heterogeneous and complex response of the Inn river basin at long temporal scales, which could not be linked to analyzed anthropogenic impacts such as dams’ construction and hydropower plants operation. Therefore, the trigger of changes in streamflow variability remained unclear. In this study, we elaborate a classification based on all considered indexes’ coherence with fifty gauging stations of the Inn river catchment. We quantify similarity among stations with a focus on yearly and longer temporal scales. The results highlight the heterogeneous response of the streamflow towards changes in climatic indexes and give an overview of the possible drivers of detected long-term alterations. NAOand GB extreme phases are connected with cold winters and hot summers. We observe that from the 1980s changes detected in the streamflow behavior at yearly and longer temporal scales are in line with emerging patterns of the climatic indexes, such as the shift from constant to intermittent periodicities of the MO index. AO coherence displays a higher ...
format Article in Journal/Newspaper
genre Greenland
North Atlantic
North Atlantic oscillation
genre_facet Greenland
North Atlantic
North Atlantic oscillation
geographic Greenland
geographic_facet Greenland
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institution Open Polar
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op_doi https://doi.org/10.5281/zenodo.798612710.1016/j.jhydrol.2022.12869810.5281/zenodo.7986126
op_relation https://zenodo.org/communities/arsinoe_eu_project
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.7986126
https://doi.org/10.5281/zenodo.7986127
oai:zenodo.org:7986127
https://doi.org/10.1016/j.jhydrol.2022.128698
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_source Journal of Hydrology, (2022-11-23)
publishDate 2022
publisher Zenodo
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spelling ftzenodo:oai:zenodo.org:7986127 2025-01-16T22:13:43+00:00 Heterogeneous spatiotemporal streamflow response to large-scale climate indexes in the Eastern Alps Teresa Perez Ciria David Labat Gabriele Chiogna 2022-11-23 https://doi.org/10.5281/zenodo.7986127 https://doi.org/10.1016/j.jhydrol.2022.128698 unknown Zenodo https://zenodo.org/communities/arsinoe_eu_project https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.7986126 https://doi.org/10.5281/zenodo.7986127 oai:zenodo.org:7986127 https://doi.org/10.1016/j.jhydrol.2022.128698 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Journal of Hydrology, (2022-11-23) streamflow variability wavelet analysis climatic indexes spatiotemporal patterns teleconnections info:eu-repo/semantics/article 2022 ftzenodo https://doi.org/10.5281/zenodo.798612710.1016/j.jhydrol.2022.12869810.5281/zenodo.7986126 2024-12-06T05:05:57Z Analyzing temporal and spatial variability of river discharge and the impacts of large-scale climate oscillations on hydrological systems are of particular interest in Alpine catchments, which have been proved to be especially sensitive to climatic drivers. The impact of climate oscillationindexes may show a delayed response and therefore the correlation between climatic drivers and streamflow is challenging to be properly identified. For this purpose, wavelet transform (WT) is recognized as a suitable tool able to determine the crucial scales of variability. In this work, first we explore the periodicities and the coherence among several climatic indexes: North Atlantic Oscillation Index (NAO), Mediterranean Oscillation Index (MO), Greenland Blocking Index (GB), and Artic Oscillation Index (AO). This analysis shows the complementary information that different oscillation indexes provide and the need to consider their impacts on streamflow simultaneously. Previous work revealed a heterogeneous and complex response of the Inn river basin at long temporal scales, which could not be linked to analyzed anthropogenic impacts such as dams’ construction and hydropower plants operation. Therefore, the trigger of changes in streamflow variability remained unclear. In this study, we elaborate a classification based on all considered indexes’ coherence with fifty gauging stations of the Inn river catchment. We quantify similarity among stations with a focus on yearly and longer temporal scales. The results highlight the heterogeneous response of the streamflow towards changes in climatic indexes and give an overview of the possible drivers of detected long-term alterations. NAOand GB extreme phases are connected with cold winters and hot summers. We observe that from the 1980s changes detected in the streamflow behavior at yearly and longer temporal scales are in line with emerging patterns of the climatic indexes, such as the shift from constant to intermittent periodicities of the MO index. AO coherence displays a higher ... Article in Journal/Newspaper Greenland North Atlantic North Atlantic oscillation Zenodo Greenland
spellingShingle streamflow variability
wavelet analysis
climatic indexes
spatiotemporal patterns
teleconnections
Teresa Perez Ciria
David Labat
Gabriele Chiogna
Heterogeneous spatiotemporal streamflow response to large-scale climate indexes in the Eastern Alps
title Heterogeneous spatiotemporal streamflow response to large-scale climate indexes in the Eastern Alps
title_full Heterogeneous spatiotemporal streamflow response to large-scale climate indexes in the Eastern Alps
title_fullStr Heterogeneous spatiotemporal streamflow response to large-scale climate indexes in the Eastern Alps
title_full_unstemmed Heterogeneous spatiotemporal streamflow response to large-scale climate indexes in the Eastern Alps
title_short Heterogeneous spatiotemporal streamflow response to large-scale climate indexes in the Eastern Alps
title_sort heterogeneous spatiotemporal streamflow response to large-scale climate indexes in the eastern alps
topic streamflow variability
wavelet analysis
climatic indexes
spatiotemporal patterns
teleconnections
topic_facet streamflow variability
wavelet analysis
climatic indexes
spatiotemporal patterns
teleconnections
url https://doi.org/10.5281/zenodo.7986127
https://doi.org/10.1016/j.jhydrol.2022.128698