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Assessment of Local Climate Change: Historical Trends and RCM Multi-Model Projections Over the Salento Area (Italy)

doi: 10.3390/w10080978
handle: 10251/203005 , 11381/2849954
This study provides an up-to-date analysis of climate change over the Salento area (southeast Italy) using both historical data and multi-model projections of Regional Climate Models (RCMs). The accumulated anomalies of monthly precipitation and temperature records were analyzed and the trends in the climate variables were identified and quantified for two historical periods. The precipitation trends are in almost all cases not significant while the temperature shows statistically significant increasing tendencies especially in summer. A clear changing point around the 80s and at the end of the 90s was identified by the accumulated anomalies of the minimum and maximum temperature, respectively. The gradual increase of the temperature over the area is confirmed by the climate model projections, at short—(2016–2035), medium—(2046–2065) and long-term (2081–2100), provided by an ensemble of 13 RCMs, under two Representative Concentration Pathways (RCP4.5 and RCP8.5). All the models agree that the mean temperature will rise over this century, with the highest increases in the warm season. The total annual rainfall is not expected to significantly vary in the future although systematic changes are present in some months: a decrease in April and July and an increase in November. The daily temperature projections of the RCMs were used to identify potential variations in the characteristics of the heat waves; an increase of their frequency is expected over this century.
550, accumulated anomalies, 910, Aquatic Science, Biochemistry, Trend analysis, climate change scenarios, Accumulated anomalie, Trend analysi, Climate change, TD201-500, Water Science and Technology, Planning and Development, Geography, Water supply for domestic and industrial purposes, Climate change scenario, Climate change scenarios, 500, Hydraulic engineering, Regional Climate Model, climate change, Accumulated anomalies, trend analysis, TC1-978
550, accumulated anomalies, 910, Aquatic Science, Biochemistry, Trend analysis, climate change scenarios, Accumulated anomalie, Trend analysi, Climate change, TD201-500, Water Science and Technology, Planning and Development, Geography, Water supply for domestic and industrial purposes, Climate change scenario, Climate change scenarios, 500, Hydraulic engineering, Regional Climate Model, climate change, Accumulated anomalies, trend analysis, TC1-978
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).12 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 77 download downloads 85 - 77views85downloads
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