Effect of the North Atlantic Oscillation on winter daily rainfall and runoff in the Abruzzo region (Central Italy)
In this paper a composite analysis was used to assess the influence of the North Atlantic Oscillation (NAO) on the winter daily rainfall and seasonal runoff at 28 stations of the Abruzzo region (Central Italy) during the period 1951–2012. Compositing was based on NAO− and NAO+ phases, identified by...
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ftuniperugiairis:oai:research.unipg.it:11391/1377008 2024-04-14T08:15:47+00:00 Effect of the North Atlantic Oscillation on winter daily rainfall and runoff in the Abruzzo region (Central Italy) VERGNI, LORENZO TODISCO, Francesca Di Lena, B. MANNOCCHI, Francesco Vergni, Lorenzo Todisco, Francesca Di Lena, B. Mannocchi, Francesco 2016 STAMPA http://hdl.handle.net/11391/1377008 https://doi.org/10.1007/s00477-015-1194-2 http://link.springer.com/article/10.1007/s00477-015-1194-2#page-1 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000384453100009 volume:30 firstpage:1901 lastpage:1915 numberofpages:15 journal:STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT http://hdl.handle.net/11391/1377008 doi:10.1007/s00477-015-1194-2 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84949506329 http://link.springer.com/article/10.1007/s00477-015-1194-2#page-1 Rainfall-runoff model Stochastic rainfall model Teleconnection pattern Water resources info:eu-repo/semantics/article 2016 ftuniperugiairis https://doi.org/10.1007/s00477-015-1194-2 2024-03-21T15:51:35Z In this paper a composite analysis was used to assess the influence of the North Atlantic Oscillation (NAO) on the winter daily rainfall and seasonal runoff at 28 stations of the Abruzzo region (Central Italy) during the period 1951–2012. Compositing was based on NAO− and NAO+ phases, identified by mean winter values of the normalized NAO index (NAOI) ≤−0.75 and ≥+0.75, respectively. In accordance with previous studies, it was found that NAO− phases determine, in general, a greater number of wet days (Nw) and (consequently) higher seasonal rainfall amounts in comparison to NAO+ phases. However, the NAO influence is characterized by a certain spatial variability, that can mostly be explained by orographic effects due to the Apennine Mountains. This is particularly evident for the mean rainfall depth per event (Pe) that, during NAO− phases, increases for the stations to the west of the Apennines, while it decreases for most of the stations to the east. The structure of winter daily rainfall of NAO+ and NAO− type, was described by a simple but effective first-order Markov process, determining the transition probabilities P01 (dry to wet) and P10 (wet to dry) and modelling the rainfall depth on wet days by a Weibull distribution. The most significant influence of NAO concerns P01 and the shape parameter of the Weibull distribution that are both higher during the NAO− phase. This means that NAO− phases are characterized by less persistent dry periods and less variable daily rainfall depths, in comparison to NAO+ phases. The effect of these differences on the winter seasonal runoff was explored by applying a Curve Number rainfall-runoff model. Significant increments of the mean seasonal runoff during NAO− phases were observed only for few stations (mainly on the west), characterized by corresponding increments of Nw, Ptot and Pe.). NAO+ phases, instead, are characterized by relevant increments of the seasonal runoff variability, particularly on the eastern areas. In this context, the important regulating function of ... Article in Journal/Newspaper North Atlantic North Atlantic oscillation IRIS Università degli Studi di Perugia Stochastic Environmental Research and Risk Assessment 30 7 1901 1915 |
institution |
Open Polar |
collection |
IRIS Università degli Studi di Perugia |
op_collection_id |
ftuniperugiairis |
language |
English |
topic |
Rainfall-runoff model Stochastic rainfall model Teleconnection pattern Water resources |
spellingShingle |
Rainfall-runoff model Stochastic rainfall model Teleconnection pattern Water resources VERGNI, LORENZO TODISCO, Francesca Di Lena, B. MANNOCCHI, Francesco Effect of the North Atlantic Oscillation on winter daily rainfall and runoff in the Abruzzo region (Central Italy) |
topic_facet |
Rainfall-runoff model Stochastic rainfall model Teleconnection pattern Water resources |
description |
In this paper a composite analysis was used to assess the influence of the North Atlantic Oscillation (NAO) on the winter daily rainfall and seasonal runoff at 28 stations of the Abruzzo region (Central Italy) during the period 1951–2012. Compositing was based on NAO− and NAO+ phases, identified by mean winter values of the normalized NAO index (NAOI) ≤−0.75 and ≥+0.75, respectively. In accordance with previous studies, it was found that NAO− phases determine, in general, a greater number of wet days (Nw) and (consequently) higher seasonal rainfall amounts in comparison to NAO+ phases. However, the NAO influence is characterized by a certain spatial variability, that can mostly be explained by orographic effects due to the Apennine Mountains. This is particularly evident for the mean rainfall depth per event (Pe) that, during NAO− phases, increases for the stations to the west of the Apennines, while it decreases for most of the stations to the east. The structure of winter daily rainfall of NAO+ and NAO− type, was described by a simple but effective first-order Markov process, determining the transition probabilities P01 (dry to wet) and P10 (wet to dry) and modelling the rainfall depth on wet days by a Weibull distribution. The most significant influence of NAO concerns P01 and the shape parameter of the Weibull distribution that are both higher during the NAO− phase. This means that NAO− phases are characterized by less persistent dry periods and less variable daily rainfall depths, in comparison to NAO+ phases. The effect of these differences on the winter seasonal runoff was explored by applying a Curve Number rainfall-runoff model. Significant increments of the mean seasonal runoff during NAO− phases were observed only for few stations (mainly on the west), characterized by corresponding increments of Nw, Ptot and Pe.). NAO+ phases, instead, are characterized by relevant increments of the seasonal runoff variability, particularly on the eastern areas. In this context, the important regulating function of ... |
author2 |
Vergni, Lorenzo Todisco, Francesca Di Lena, B. Mannocchi, Francesco |
format |
Article in Journal/Newspaper |
author |
VERGNI, LORENZO TODISCO, Francesca Di Lena, B. MANNOCCHI, Francesco |
author_facet |
VERGNI, LORENZO TODISCO, Francesca Di Lena, B. MANNOCCHI, Francesco |
author_sort |
VERGNI, LORENZO |
title |
Effect of the North Atlantic Oscillation on winter daily rainfall and runoff in the Abruzzo region (Central Italy) |
title_short |
Effect of the North Atlantic Oscillation on winter daily rainfall and runoff in the Abruzzo region (Central Italy) |
title_full |
Effect of the North Atlantic Oscillation on winter daily rainfall and runoff in the Abruzzo region (Central Italy) |
title_fullStr |
Effect of the North Atlantic Oscillation on winter daily rainfall and runoff in the Abruzzo region (Central Italy) |
title_full_unstemmed |
Effect of the North Atlantic Oscillation on winter daily rainfall and runoff in the Abruzzo region (Central Italy) |
title_sort |
effect of the north atlantic oscillation on winter daily rainfall and runoff in the abruzzo region (central italy) |
publishDate |
2016 |
url |
http://hdl.handle.net/11391/1377008 https://doi.org/10.1007/s00477-015-1194-2 http://link.springer.com/article/10.1007/s00477-015-1194-2#page-1 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000384453100009 volume:30 firstpage:1901 lastpage:1915 numberofpages:15 journal:STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT http://hdl.handle.net/11391/1377008 doi:10.1007/s00477-015-1194-2 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84949506329 http://link.springer.com/article/10.1007/s00477-015-1194-2#page-1 |
op_doi |
https://doi.org/10.1007/s00477-015-1194-2 |
container_title |
Stochastic Environmental Research and Risk Assessment |
container_volume |
30 |
container_issue |
7 |
container_start_page |
1901 |
op_container_end_page |
1915 |
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1796314229045723136 |