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Download the Abstract Book 1 SnowHydro 2020 International Conference on Snow Hydrology Challenges in Mountain Areas 28th – 31st January 2020, Bolzano/Bozen, Italy Responsible organizers Claudia Notarnicola – EURAC Research (Italy) – Scientific coordinator Giacomo Bertoldi – EURAC Research (Italy) – Scientific advisor María José Polo – University of Cordóba (Spain) – Scientific advisor Lucas Menzel – University of Heidelberg (Germany) – Scientific advisor Paola Winkler - EURAC Research (Italy) – Project manager Venue EURAC, lecture room “Auditorium”. 2 Welcome to the SnowHydro Conference in Bolzano/Bozen 2020 Snow is a dynamically changing water resource that plays an important role in the hydrological cycle in mountainous areas. Snow cover contributes to regulate the Earth surface temperature, and once it melts, the water helps fill rivers and reservoirs in many regions of the world. In terms of spatial extent, seasonal snow cover is the largest single component of the cryosphere and has a mean winter maximum areal extent of 47 million square kilometers, about 98% of which is located in the Northern Hemisphere. While on large scale snow cover changes affect the energy exchange between Earth’s surface and the atmosphere and are, thus, useful indicators of climatic variation, on a smaller scale, variations in snow cover can affect regional weather patterns. Therefore, snow cover is an important climate change variable because of its influence on energy and moisture budgets. The strong consequences of changes in snow amount on Earth's environment and population, have led scientists to develop ways for continuously measuring and monitoring snow and its properties. The traditional snow observations consist of in situ measurements during periodic field campaigns at fixed sites or through automatic nivological stations network recording snow parameters and often are coupled to weather stations. In mountain regions, where the spatial variability of the snow cover is particularly high due to the complex topography, the related hydrological processes are mostly unknown because of the lack of spatially and temporally continuous observations. To fill this gap, remote sensing can make a valuable contribution by providing higher spatial and (often) temporal resolution data with respect to ground measurements. However, remotely sensed data are often biased by snow misclassifications and cloud cover frequently limits the availability of snow related information. A consolidate method for retrieving information about snow characteristic is the application of distributed, numerical hydrological models, which have been already applied at different scale. Even though extensively tested, these models can be subjected to rather large uncertainties if used in spatially distributed applications, especially in mountainous regions. These uncertainties may be originated mainly from uncertainties in the meteorological input data that have often a limited availability in mountainous areas and in snowpack process representations, especially in melting season. The SnowHydro conference will address the range of topics regarding snow, its significance for hydrology and its impact on climate change. The main objective is to bring together experience from experimental research, hydrological modelling and remote sensing to facilitate joint research on snow science. The organizing committee welcomes you to Bolzano/Bozen and we wish you a stimulating and enjoyable conference in South Tyrol! The organizing committee 3 We gratefully acknowledge the support of our partners and sponsors Green Event Sustainability is not just a modern term to use, but a responsibility. As we all have an impact on the environment, we want to provide you an event as green as possible. We are proud to tell you that the conference will be certified Green Events to keep the environmental impact as low as possible. We further encourage everyone to use public transportation. We recommend you to get a Mobilcard, which can be used, with all buses, trains and several cable cars. Ask for it in your hotel. 4 Table of content Conference Program Overview ..................................................................................................................... 6 Abstracts of the conference ........................................................................................................................ 14 Snow Remote Sensing ................................................................................................................................ 15 Session 1: Snow cover dynamics - temporal and spatial variability ........................................................... 15 Session 2: Snow cover dynamics- temporal and spatial variability ............................................................ 18 Poster session: Snow remote sensing & experimental research ................................................................ 23 Session 3: Remote Sensing of Snow Properties .......................................................................................... 34 Session 4: Remote Sensing of Snow Properties .......................................................................................... 39 Snow Hydrology and Modelling ................................................................................................................. 43 Session 1: Progress in simulating snow processes and model evaluation.................................................. 44 Session 2: Progress in simulating snow processes and model evaluation.................................................. 50 Poster session – Progress in simulating snow processes and model evaluation & Snow-Atmosphere Interface ...................................................................................................................................................... 55 Session 3: Cryospheric processes - observations and modelling ................................................................ 67 Session 4: Snow in semi-arid environment ................................................................................................. 71 Snow-Atmosphere Interface ...................................................................................................................... 74 Session 1: Prediction of snow melt and run-off .......................................................................................... 75 Session 2: Prediction of snow melt and run-off .......................................................................................... 80 Session 3: Climate change, snow conditions and water supply ................................................................. 85 Session 4: Climate change, snow conditions and water supply ................................................................. 90 5 Conference Program Overview Tuesday, January 28th 08.00 – 09.00 Registration and poster set-up Lecture room “Auditorium” 09.00 – 09.10 Welcome and introduction Claudia Notarnicola, Institute for Earth Observation, Eurac Research 09.10 – 09.20 Welcome address Roland Psenner, Eurac Research President 09.20 – 09.30 Welcome address Roberto Dinale, Civil Protection Agency, Autonomous Province of Bolzano – South Tyrol 09.30 – 10:00 Keynote lecture “Monitoring snow using satellite data” Thomas Nagler, Enveo IT (Austria) Snow Remote Sensing Session 1: Snow cover dynamics - temporal and spatial variability Chairperson: Jeffrey S. Deems 10.00 – 10.15 Estimation of temporal changes of snow water equivalent by SAR interferometry using Sentinel-1 data in a snowfield in Trentino Delia Marzari et al. 10.15 – 10.30 Homogenization and analysis of mean seasonal snow depth time series Gabriele Chiogna & Giorgia Marcolini 10.30 – 10.45 Combining COSMO-SkyMed data and machine learning for SWE monitoring in alpine areas Emanuele Santi et al. 10.45 – 11.15 Coffee break, foyer Auditorium Session 2: Snow cover dynamics- temporal and spatial variability Chairperson: Rafael Pimentel 11.15 – 11.30 Multi-sensor wet snow mapping using wide-area radar backscatter composites David Small et al. 11.30 – 11.45 Monitoring snow cover and snow phenology dynamics in global mountain areas by using MODIS images from 2000 to 2018 Claudia Notarnicola 11.45 – 12.00 Changes in Andes snow cover from MODIS data, 2000–2016 Freddy Saavedra et al. 12.00 – 12.15 Snow cover analysis integrating satellite and terrestrial imageries over a decade Roberto Salzano et al. 12.15 – 12.30 A combined Terra/Aqua MODIS snow-cover product for the High Mountain Asia between 2002 and 2018 Sher Muhammad 6 12.30 – 13.30 Lunch, foyer Auditorium Poster session – Room: Conference hall Snow remote sensing & experimental research Chairperson: Mattia Callegari 13.30 – 14.00 Poster presentation (2 min for each poster) Snow cover evolution in the Swiss Alps using Earth Observation Data Cube Charlotte Poussin Standardized Snow Pack Index (SSPI) in the Piave river basin Mauro Valt & Giovanni Onofrio Modelling spatio-temporal dynamics of snow depth and large herbivore’s winter habitat selection Emanuele Cordano et al. Snow bias in EURO-CORDEX regional climate models and its dependence on topography mismatch and cold bias in the European Alps Michael Matiu et al. Estimating Multiscale Snow Cover Variability in the South of Western Siberia: SSSC Project framework Dmitry Pershin Hom4Snow: Homogenization of snow measurements for robust socio-economic Snow climate indicators in the Alps Gernot Resch et al. Monitoring the snow pack internal stress by lineament domain analysis Paola Cianfarra & Mauro Valt
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