Assessment of the elevation-dependent climate change in the Extended European Alpine Region over 1961-2020 based on the EEAR-Clim dataset
Assigned Session: FS 3.135: Elevational stratification of climate change: impacts and driving mechanisms in global mountain ecosystems
Abstract ID: 3.10214 | Not reviewed | Requested as: Talk | TBA | TBA
Giulio Bongiovanni (1,2)
Anna, Napoli (2,3); Michael, Matiu (2); Alice, Crespi (4); Bruno, Majone (2); Dino, Zardi (2)
(1) University School for Advanced Studies Pavia (IUSS), Palazzo del Broletto, Piazza della Vittoria 15, Pavia, 27100, Italy
(2) Department of Civil, Environmental and Mechanical Engineering (DICAM), University of Trento, Via Mesiano 77, Trento, 38123, Italy
(3) Center for Agriculture Food Environment (C3A), University of Trento, Via Edmund Mach 1, San Michele all’Adige, 38098, Italy
(4) Center for Climate Change and Transformation (CCT), Eurac Research, Viale Druso 1, Bozen, 39100, Italy
Abstract
The Alpine area is one of the most vulnerable and sensitive regions to the continuous warming of climate and it is considered an important hotspot of climate change. In particular, climate change is expected to exert a strong influence on all components of the hydrological cycle, including river regimes, with consequent effects on the services offered by the freshwater ecosystem, as well as on water availability for users, thus affecting several socio-economic sectors. Climate change assessment in the Alpine region relies on direct application of climate observations and, thus, their quality may strongly impact climate and hydrological studies results and predictions in terms of reliability, accuracy and precision. Here, we present an extended climatological and trend analysis of key climate variables for the Extended European Alpine Region (EEAR) over the 1961-2020 period. The analysis exploits the recently developed observational dataset EEAR-Clim, addressing the key issues in terms of spatial density, data quality, time resolution and completeness. Climatological and trend analysis was carried out on different time scales considering both mean values and a selection of ETCCDI indices. The key goal of such analysis is the robust assessment of phenomena related to elevation-dependent warming (EDW) and precipitation change (EDPC). A further analysis concerned the relationship between observations and the main teleconnection patterns influencing the Alpine climate. The present study aims to provide a reliable analysis of the evolution of key climate variables in the Alpine region. Being a study based on the most comprehensive spatial coverage in this area to date, the related results significantly increase the amount of information available to involved stakeholders to prevent and quickly plan for disaster management, risk mitigation and formulating proper locally relevant adaptation strategies.
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