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...

Full description

Bibliographic Details
Published in:Hydrological Sciences Journal
Main Authors: Diodato, Nazzareno, Gómara, Iñigo, Baronetti, Alice, Fratianni, Simona, Bellocchi, Gianni
Other Authors: 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
Language:English
Published: HAL CCSD 2021
Subjects:
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
id ftccsdartic:oai:HAL:hal-03263455v1
record_format openpolar
spelling 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
_version_ 1766131396035739648