A5009756882- Cryospheric studies and observations
- Climate variability and models
- Meteorological Phenomena and Simulations
- Landslides and related hazards
- Climate change and permafrost
- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Precipitation Measurement and Analysis
- Plant Water Relations and Carbon Dynamics
- Remote Sensing and Land Use
- Tree-ring climate responses
- Computational Physics and Python Applications
- Winter Sports Injuries and Performance
- Remote Sensing in Agriculture
- Hydrology and Drought Analysis
- Atmospheric and Environmental Gas Dynamics
- Seismology and Earthquake Studies
- Geology and Paleoclimatology Research
- Environmental and Agricultural Sciences
- Climate change impacts on agriculture
- Cardiomyopathy and Myosin Studies
- Soil erosion and sediment transport
- Recycling and Waste Management Techniques
- Urban Heat Island Mitigation
- Nuclear and radioactivity studies
Eurac Research
2020-2025
Istituto Universitario di Studi Superiori di Pavia
2024
University of Milan
2001-2020
Neuroscience Institute
2016
Istituto Nazionale di Fisica Nucleare, Sezione di Milano
2015
Abstract. The European Alps stretch over a range of climate zones which affect the spatial distribution snow. Previous analyses station observations snow were confined to regional analyses. Here, we present an Alpine-wide analysis depth from six Alpine countries – Austria, France, Germany, Italy, Slovenia, and Switzerland including altogether more than 2000 stations 800 used for trend assessment. Using principal component k-means clustering, identified five main modes variability regions...
ABSTRACT High‐resolution monthly precipitation climatologies for Italy are presented. They based on 1961–1990 normals obtained from a quality‐controlled dataset of 6134 stations covering the Italian territory and part Northern neighbouring regions. The computed by means two interpolation methods modelling precipitation‐elevation relationship at local level, more precisely weighted linear regression (LWLR) kriging (RK) performed. For both methods, optimisations also applied in order to...
Abstract Climate change impacts are non uniformly distributed over the globe. Mountains have a peculiar response to large scale variations, documented by elevation gradients of surface temperature increase observed many mountain ranges in last decades. Significant changes precipitation expected changing climate and orographic effects important determining amount rainfall at given location. It thus becomes particularly understand how responds global warming anthropogenic forcing. Here, using...
Abstract. The increasing availability of long-term observational data can lead to the development innovative modelling approaches determine landslide triggering conditions at a regional scale, opening new avenues for prediction and early warning. This research blends strengths existing with capabilities generalized additive mixed models (GAMMs) develop an interpretable approach that identifies seasonally dynamic precipitation shallow landslides. model builds upon 21-year record landslides in...
Shallow landslide initiation typically results from an interplay of dynamic triggering and preparatory conditions along with static predisposition factors. While data-driven methods for assessing susceptibility or establishing rainfall-triggering thresholds are prevalent, integrating spatio-temporal information large-area prediction remains a challenge. The main aim this research is to generate spatial model that operates at daily scale explicitly counteracts potential errors in the...
Abstract. A high-resolution gridded dataset of daily mean temperature and precipitation series spanning the period 1980–2018 was built for Trentino-South Tyrol, a mountainous region in north-eastern Italy, starting from an archive observation more than 200 meteorological stations covering regional domain surrounding countries. The original station data underwent processing chain including quality consistency checks, homogeneity tests, with homogenization most relevant breaks series, filling...
This study examines the performance of three machine learning models—namely, Artificial Neural Network (ANN), Random Forest (RF), and Convolutional (CNN)—for spatial downscaling seasonal forecasts daily minimum temperature from 12 km to 250 m horizontal resolution. Downscaling is carried out with a one-month lead time, analysis split into short-term (1 8 days) extended (9 28 forecast periods, allowing detailed assessment models over time. Results suggest that CNN outperforms ANN RF,...
Shallow landslides represent potentially damaging processes in mountain areas worldwide. These geomorphic are usually caused by an interplay of predisposing, preparatory, and triggering environmental factors. At regional scales, data-driven methods have been used to model shallow addressing the spatial temporal components separately. So far, few studies explored integration space time for landslide prediction. This research leverages generalized additive mixed models develop integrated...
Abstract Snowfall and snow accumulation play a crucial role in shaping ecosystems human activities the Alpine region. This resource is under threat as consequence of visible effects global warming, and, therefore, it appears urgent to understand how snowfall trends have changed time space. In this context, we recovered data from over hundred (HN) series covering period 1980–2020 mountain region Trentino‐South Tyrol northeastern Italian Alps analysed them climatology region, recent their...
The spatial visualization of current and future climate conditions is one key component for assessing related impacts risks in a given territory. A suitable combination statistical methods visualisation techniques allows the creation outputs that support interpretation understanding as well communication complex analysis to wider target audience. present paper describes adopted approaches portray information about change Germany until end 21st century meaningful maps with aim communicate it...
Protection forests play a key role in protecting settlements, people, and infrastructures from gravitational hazards such as rockfalls avalanches mountain areas. Rapid climate change is challenging the of protection by altering their dynamics, structure, composition. Information on local- regional-scale impacts critical for planning adaptations forest management. We used model dynamics (ForClim) to assess succession Eastern Alps protective effects under future scenarios. investigated eleven...
Abstract Cli-DaRe@School is a citizen-science project, started in spring 2022, whose main goal to make remarkable step forward toward the digitization of huge heritage historical Italian meteorological observations. These are still largely unexploited, as many records only available on paper or scanned images. In first year project focused four comprehensive monographs including about 6000 monthly temperature and precipitation data. A team 334 students from 10 different high schools Italy...
Simulation models are important tools to study the impacts of climate change and natural disturbances on forest ecosystems. Being able track tree demographic processes in a spatially explicit manner, process-based landscape considered most suitable provide robust projections that can aid decision-making management. However, challenging parameterize setting up new areas for application studies largely depends data availability. The aim this is demonstrate parameterization process, including...
European weather services are currently transitioning from traditional warnings to impact-based (i.e., "what the will be" it do"). To inform on what impacts can be expected, meteorological data must integrated with potential hazards and elements at risk.In this study, we developed three impact models a daily scale predict of mass movement across entire Alpine region (450,000 km²). The focused major process classes (slide-types, flow-types, fall-types) that infrastructure, such as...
The Alpine region faces heightened risks from climate change due to its complex terrain and ecosystems, highlighting the significant global challenge posed by a warming climate. is particularly susceptible effects of warming, which not only intensifies weather extremes but also significantly impacts hydrological processes. These changes increase frequency severity extreme events like droughts floods, further heightening region's vulnerability. Accurate local predictions are essential for...
The Adige River basin has been affected several times in recent years by the concurrence of very hot and dry conditions. In summers 2015, 2017 more recently 2021-2022 severe hydrological droughts compounded cascaded with wildfire heatwave events. chained effect snow deficit winter, higher-than-normal temperatures early spring heatwaves during summer caused multiple drought impacts.For these reasons, we initially developed a procedure to identify rank past compound events (CDHW) which...
The ability to accurately describe urban climate and the role of environments in determining heat conditions hotspots is key informing risk assessment, planning change adaptation measures, developing mitigation strategies for cities. However, characterization Urban Heat Islands (UHI) still presents unique challenges from both observational modeling perspectives, especially complex mountainous terrain. This due different scales features involved redistribution temperature field significant...
Cli-DaRe@School is a citizen science project with the main goal of digitizing ancient and unexploited Italian meteorological observations still available only on paper or as scanned images original records published yearbooks. Launched in spring 2022 long-term coordinated initiative Association Atmospheric Sciences Meteorology (AISAM) engaging variety researchers, well their affiliation Institutions, high-school students teachers.During first year focused target four comprehensive monographs...
Abstract. The Extended European Alpine Region (EEAR) exhibits a well-established and very high density network of in situ weather stations, hardly attained other mountainous regions the world. However, strong fragmentation area into national regional administrations diversity data sources have hampered full exploitation available for climate research. Here, we present EEAR-Clim, new observational dataset gathering daily measurements air temperature precipitation from variety meteorological...
Abstract Landslides are geomorphic hazards in mountainous terrains across the globe, driven by a complex interplay of static and dynamic controls. Data‐driven approaches have been employed to assess landslide occurrence at regional scales analyzing spatial aspects time‐varying conditions separately. However, joint assessment landslides space time remains challenging. This study aims predict precipitation‐induced shallow within Italian province South Tyrol (7,400 km 2 ). We introduce...
Abstract. The Adige River basin has been affected several times in recent years by concurrent very hot and dry conditions. In summers 2015, 2017, more recently 2021–2022, severe hydrological droughts compounded cascaded with wildfire heatwave events. chained effect of snow deficit winter, higher-than-normal temperatures early spring heatwaves during summer caused multiple drought impacts. Despite the consequences, role observed climate change exacerbating intensity drivers leading to...