Ing and evaluation in distinct geological and climatic contexts, as field-based and numerical analysis [937].

Ing and evaluation in distinct geological and climatic contexts, as field-based and numerical analysis [937]. nicely as field-based and numerical evaluation [937].3.three. Climatic Evaluation 3.3. Climatic Evaluation Climatic data analysis was carried out to outline the distribution on the climatic Climatic information analysis was carried out to outline the distribution in the climatic parameters and conditions in the study location. The evaluation was based on a dataset obtained parameters and circumstances in the study region. The analysis was based on a dataset obtained from a network of 7 gauges (colored dots in Figure four; data supplied by the Functional from a network of 7 gauges (colored dots in Figure 4; information supplied by the Functional Center and Hydrographic Office with the Abruzzo Area and the amateur meteorological association L’Aquila Caput Frigoris–caputfrigoris.it/, accessed on 12 January 2021). Extra in detail, according to the lack of historical thermo luviometric series suiting the Globe Meteorological Organization (WMO) directives [98], climatic information belonging for the Pietracamela gauge (1043 m a.s.l.; blue dot in Figure four) were utilised to quantify the microclimatic setting from the study location properly. Its dataset gathers thermo luviometricLand 2021, ten,eight ofseries data covering a 50-year time record (1950004). Lately, three gauges, featuring technical components in accordance with all the WMO 1083 directives [98], have been positioned in the Teramo (265 m a.s.l.; pink dot in Figure 4), near the tourist and ski facilities at Prati di Tivo (1450 m a.s.l.; green dot in Figure 4), and along the northeastern slope of Gran Sasso Massif at Rifugio Franchetti (2433 m a.s.l.; light blue dot in Figure 4). The northern exposure of those gauges offers a AM251 custom synthesis superb representation with the climatic situations occurring in correspondence with all the detachment areas of snow avalanches, regardless of the lack in the snow datasets. Regarding the Rifugio Franchetti gauge, the readily available information covered distinctive time records (1998003 and 2016018). three.four. Nivological Evaluation The local nivological evaluation was primarily based on a detailed dataset manually collected in the nivo-meteorological station from the Meteomont service (sian.it/infoMeteo, accessed on 15 February 2021). It can be located at the base with the slope within the Prati di Tivo location (Figure 3), at an elevation of 1450 m a.s.l. It characteristics a northern exposure related to avalanche-prone regions positioned at larger elevations. The offered historical information for this station starts from the 1977/1978 winter season (from November to April) for 32 surveying seasons. The series is practically uninterrupted, with a couple of gaps mostly occurring in correspondence in the beginning/end of seasons. Even so, information related to the 1992/1994 seasons are entirely missing. Far more in detail, the regarded dataset shows several temporal gaps, given that it can be deeply affected by the irregularity within the opening/closing dates of ski Deguelin Purity facilities–the former occurring right after the first important snowfall events and the latter during the spring period, ordinarily in the presence of a thick snow cover. This situation was extensively relevant ahead of the 1986/1987 winter season and right after the 2008/2009 a single; consequently, the amounts of seasonal new snow weren’t appropriately computed in these temporal intervals. To cut down this underestimation, we tried to derive good-quality information concerning the possible snowfall events by computing thermo luviometric records at gauges situated at a comparable elevation not far from the Pr.