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DatoValore
TitleClimate projections in Lake Maggiore watershed using statistical downscaling model
AbstractPrecipitation and temperature over the Lake Maggiore watershed greatly influence its water balance. Local communities from both Italy and Switzerland rely on the watershed for agriculture, tourism and hydropower production. Accurate climate projections in this area are vital in dealing with their impacts and yet are still lacking. Future climate was assessed by applying the Statistical DownScaling Model (SDSM) and using CanESM2 predictors. Three scenarios defined by RCP2.6, RCP4.5 and RCP8.5 were adopted. Based on our results, SDSM is to a certain degree applicable for simulating precipitation and temperature in an Alpine area. Results indicate that warming from now until the end of the century will be about 2 to 3 times greater without global mitigation. Temperature is estimated to increase throughout the 21st century, with a stronger warming trend in the northeastern part of the region than in the southwestern part. The strength of the warming at the end of the century highly depends on the scenario considered, with an increase up to 1.7°C for the mitigation scenario RCP2.6 compared to 4.2°C for the unmitigated scenario RCP8.5. Seasonal precipitation is expected to change depending on the future scenarios. Most of the region is expected to display a seasonally positive precipitation change during the cold season and vice versa, resulting in a shift in the peak rainy season from autumn to winter. These findings suggest that the area might be vulnerable to global change and will provide useful insight to develop a better strategy for the management of water resources and to study the adoptive measures to manage flood disasters
SourceClimate research (Internet) 81, pp. 113–130
KeywordsSDSMCanESM2Lake MaggioreAlpine areaPrecipitationTemperature
JournalClimate research (Internet)
EditorInter-Research., Oldendorf/Luhe, Germania
Year2020
TypeArticolo in rivista
DOI10.3354/cr01613
AuthorsSaidi Helmi, Dresti Claudia, Manca Dario and Ciampittiello Marzia
Text437786 2020 10.3354/cr01613 SDSM CanESM2 Lake Maggiore Alpine area Precipitation Temperature Climate projections in Lake Maggiore watershed using statistical downscaling model Saidi Helmi, Dresti Claudia, Manca Dario and Ciampittiello Marzia Istituto di Ricerca Sulle Acque CNR IRSA Precipitation and temperature over the Lake Maggiore watershed greatly influence its water balance. Local communities from both Italy and Switzerland rely on the watershed for agriculture, tourism and hydropower production. Accurate climate projections in this area are vital in dealing with their impacts and yet are still lacking. Future climate was assessed by applying the Statistical DownScaling Model SDSM and using CanESM2 predictors. Three scenarios defined by RCP2.6, RCP4.5 and RCP8.5 were adopted. Based on our results, SDSM is to a certain degree applicable for simulating precipitation and temperature in an Alpine area. Results indicate that warming from now until the end of the century will be about 2 to 3 times greater without global mitigation. Temperature is estimated to increase throughout the 21st century, with a stronger warming trend in the northeastern part of the region than in the southwestern part. The strength of the warming at the end of the century highly depends on the scenario considered, with an increase up to 1.7°C for the mitigation scenario RCP2.6 compared to 4.2°C for the unmitigated scenario RCP8.5. Seasonal precipitation is expected to change depending on the future scenarios. Most of the region is expected to display a seasonally positive precipitation change during the cold season and vice versa, resulting in a shift in the peak rainy season from autumn to winter. These findings suggest that the area might be vulnerable to global change and will provide useful insight to develop a better strategy for the management of water resources and to study the adoptive measures to manage flood disasters 81 Published version https //www.int res.com/abstracts/cr/v81/p113 130/ Climate projections in Lake Maggiore watershed using Statistical DownScaling Model Saidi_et_al_2020.pdf Articolo in rivista Inter Research. 1616 1572 Climate research Internet Climate research Internet Clim. res. Internet CR. Climate research Internet Internet marzia.ciampittiello CIAMPITTIELLO MARZIA dario.manca MANCA DARIO claudia.dresti DRESTI CLAUDIA helmi.saidi SAIDI HELMI