Reconstruction of erosivity density in northwest Italy since 1701
International audience Societies can be better prepared to face hydrological extremes (e.g. flash floods) by understanding the trends and variability of rainfall aggressiveness and its derivative, erosivity density (ED). Estimating extended time series of ED is, however, scientifically challenging b...
Published in: | Hydrological Sciences Journal |
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2021
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Online Access: | https://hal.inrae.fr/hal-03263455 https://hal.inrae.fr/hal-03263455/document https://hal.inrae.fr/hal-03263455/file/Diodato_2021_Hydrological%20Sciences%20Journal.pdf https://doi.org/10.1080/02626667.2021.1918696 |
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ftccsdartic:oai:HAL:hal-03263455v1 2023-05-15T17:33:02+02:00 Reconstruction of erosivity density in northwest Italy since 1701 Diodato, Nazzareno Gómara, Iñigo Baronetti, Alice Fratianni, Simona Bellocchi, Gianni Met European Research Observatory (MetEROBS) Universidad Complutense de Madrid = Complutense University of Madrid Madrid (UCM) University of Turin Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP) VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) 2021-05 https://hal.inrae.fr/hal-03263455 https://hal.inrae.fr/hal-03263455/document https://hal.inrae.fr/hal-03263455/file/Diodato_2021_Hydrological%20Sciences%20Journal.pdf https://doi.org/10.1080/02626667.2021.1918696 en eng HAL CCSD Taylor & Francis info:eu-repo/semantics/altIdentifier/doi/10.1080/02626667.2021.1918696 hal-03263455 https://hal.inrae.fr/hal-03263455 https://hal.inrae.fr/hal-03263455/document https://hal.inrae.fr/hal-03263455/file/Diodato_2021_Hydrological%20Sciences%20Journal.pdf doi:10.1080/02626667.2021.1918696 WOS: 000657538000001 http://creativecommons.org/licenses/by-nc-nd/ info:eu-repo/semantics/OpenAccess CC-BY-NC-ND ISSN: 0262-6667 Hydrological Sciences Journal https://hal.inrae.fr/hal-03263455 Hydrological Sciences Journal, Taylor & Francis, 2021, pp.1-12. ⟨10.1080/02626667.2021.1918696⟩ erosivity density long-term reconstruction parsimonious modelling extreme precipitation Piedmont Italy [SDE.MCG]Environmental Sciences/Global Changes info:eu-repo/semantics/article Journal articles 2021 ftccsdartic https://doi.org/10.1080/02626667.2021.1918696 2021-10-23T23:28:28Z International audience Societies can be better prepared to face hydrological extremes (e.g. flash floods) by understanding the trends and variability of rainfall aggressiveness and its derivative, erosivity density (ED). Estimating extended time series of ED is, however, scientifically challenging because of the paucity of long-term high-resolution pluviometric observations. This research presents the longest ED time series reconstruction (1701-2019) in northwest Italy (Piedmont region) to date, which is analysed to identify damaging hydrological periods. With this aim, we developed a model consistent with a sample (1981-2015) of detailed novel Revised Universal Soil Loss Erosion-based high-resolution data and documentary hydrological extreme records. The modelled data show a noticeable rising trend in ED from 1897 onwards, together with an increase of extreme values for return periods of 10 and 50 years, consistent with the Clausius-Clapeyron scaling of extreme rainfall. We also suggest the North Atlantic Oscillation and Atlantic Multidecadal Oscillation may be associated with rainfall extremes in Piedmont. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Hydrological Sciences Journal 66 7 1185 1196 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
erosivity density long-term reconstruction parsimonious modelling extreme precipitation Piedmont Italy [SDE.MCG]Environmental Sciences/Global Changes |
spellingShingle |
erosivity density long-term reconstruction parsimonious modelling extreme precipitation Piedmont Italy [SDE.MCG]Environmental Sciences/Global Changes Diodato, Nazzareno Gómara, Iñigo Baronetti, Alice Fratianni, Simona Bellocchi, Gianni Reconstruction of erosivity density in northwest Italy since 1701 |
topic_facet |
erosivity density long-term reconstruction parsimonious modelling extreme precipitation Piedmont Italy [SDE.MCG]Environmental Sciences/Global Changes |
description |
International audience Societies can be better prepared to face hydrological extremes (e.g. flash floods) by understanding the trends and variability of rainfall aggressiveness and its derivative, erosivity density (ED). Estimating extended time series of ED is, however, scientifically challenging because of the paucity of long-term high-resolution pluviometric observations. This research presents the longest ED time series reconstruction (1701-2019) in northwest Italy (Piedmont region) to date, which is analysed to identify damaging hydrological periods. With this aim, we developed a model consistent with a sample (1981-2015) of detailed novel Revised Universal Soil Loss Erosion-based high-resolution data and documentary hydrological extreme records. The modelled data show a noticeable rising trend in ED from 1897 onwards, together with an increase of extreme values for return periods of 10 and 50 years, consistent with the Clausius-Clapeyron scaling of extreme rainfall. We also suggest the North Atlantic Oscillation and Atlantic Multidecadal Oscillation may be associated with rainfall extremes in Piedmont. |
author2 |
Met European Research Observatory (MetEROBS) Universidad Complutense de Madrid = Complutense University of Madrid Madrid (UCM) University of Turin Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP) VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
format |
Article in Journal/Newspaper |
author |
Diodato, Nazzareno Gómara, Iñigo Baronetti, Alice Fratianni, Simona Bellocchi, Gianni |
author_facet |
Diodato, Nazzareno Gómara, Iñigo Baronetti, Alice Fratianni, Simona Bellocchi, Gianni |
author_sort |
Diodato, Nazzareno |
title |
Reconstruction of erosivity density in northwest Italy since 1701 |
title_short |
Reconstruction of erosivity density in northwest Italy since 1701 |
title_full |
Reconstruction of erosivity density in northwest Italy since 1701 |
title_fullStr |
Reconstruction of erosivity density in northwest Italy since 1701 |
title_full_unstemmed |
Reconstruction of erosivity density in northwest Italy since 1701 |
title_sort |
reconstruction of erosivity density in northwest italy since 1701 |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.inrae.fr/hal-03263455 https://hal.inrae.fr/hal-03263455/document https://hal.inrae.fr/hal-03263455/file/Diodato_2021_Hydrological%20Sciences%20Journal.pdf https://doi.org/10.1080/02626667.2021.1918696 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
ISSN: 0262-6667 Hydrological Sciences Journal https://hal.inrae.fr/hal-03263455 Hydrological Sciences Journal, Taylor & Francis, 2021, pp.1-12. ⟨10.1080/02626667.2021.1918696⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1080/02626667.2021.1918696 hal-03263455 https://hal.inrae.fr/hal-03263455 https://hal.inrae.fr/hal-03263455/document https://hal.inrae.fr/hal-03263455/file/Diodato_2021_Hydrological%20Sciences%20Journal.pdf doi:10.1080/02626667.2021.1918696 WOS: 000657538000001 |
op_rights |
http://creativecommons.org/licenses/by-nc-nd/ info:eu-repo/semantics/OpenAccess |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.1080/02626667.2021.1918696 |
container_title |
Hydrological Sciences Journal |
container_volume |
66 |
container_issue |
7 |
container_start_page |
1185 |
op_container_end_page |
1196 |
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1766131396035739648 |