This research aims at understanding and analyzing the possible effect of climate change on the seasonal rainfall regime over Italy. First, rainfall patterns are identified by applying a clustering procedure based on the Self-Organizing Map, by adopting and comparing the results of different gridded datasets describing current climate (1981-2010). Second, for the identified clusters the impact of climate change in the near (2021-2050) and the far future (2051-2080) is assessed by employing an ensemble of bias-Adjusted EUROCORDEX climate projections under the Representative Concentration Pathways (RCP) 2.6, 4.5 and 8.5. The results of this study show that, for the considered models' ensemble, a significant decrease in cumulative rainfall values should be expected in the future, reflecting in a decrease in monthly values across all the seasons.

Future rainfall scenarios for the assessment of water availability in Italy / Padulano, R.; Cesare Lama, G. F.; Rianna, G.; Santini, M.; Mancini, M.; Stojiljkovic, M.. - (2020), pp. 241-246. (Intervento presentato al convegno 3rd IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020 tenutosi a University of Trento, ita nel 2020) [10.1109/MetroAgriFor50201.2020.9277599].

Future rainfall scenarios for the assessment of water availability in Italy

Padulano R.;Rianna G.;
2020

Abstract

This research aims at understanding and analyzing the possible effect of climate change on the seasonal rainfall regime over Italy. First, rainfall patterns are identified by applying a clustering procedure based on the Self-Organizing Map, by adopting and comparing the results of different gridded datasets describing current climate (1981-2010). Second, for the identified clusters the impact of climate change in the near (2021-2050) and the far future (2051-2080) is assessed by employing an ensemble of bias-Adjusted EUROCORDEX climate projections under the Representative Concentration Pathways (RCP) 2.6, 4.5 and 8.5. The results of this study show that, for the considered models' ensemble, a significant decrease in cumulative rainfall values should be expected in the future, reflecting in a decrease in monthly values across all the seasons.
2020
978-1-7281-8783-9
Future rainfall scenarios for the assessment of water availability in Italy / Padulano, R.; Cesare Lama, G. F.; Rianna, G.; Santini, M.; Mancini, M.; Stojiljkovic, M.. - (2020), pp. 241-246. (Intervento presentato al convegno 3rd IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020 tenutosi a University of Trento, ita nel 2020) [10.1109/MetroAgriFor50201.2020.9277599].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/949689
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