Special topic "S now measurements in the field and laboratory"
Covering up to 49% of the total land surface in midwinter in the northern hemisphere, snow is a crucial component of the cryosphere. Snow plays a key role in our environment, with social and economical implic ations such as the climate change, natural hazard, tourisms, etc. How does snow behave and interact with its surrounding largely depends on its micros tructure, which varies widely from light dendritic snowflakes to small roun ded grains or dense melt crusts. Measuring and characterizing snow is essen tial.
Great advances have been made over the past 15 years toward mor e quantitative, objective characterization of snow, allowing for a better, more physical description of the processes; they came along with new measur ements techniques. These improved quantification methods of the snow cover must be spread to the cryosphere scientists community, and beyond, as benef icial to many applications in this field, e.g. hydrology, climatology, aval anche forecasting or earth observation from space.
The 7th EGU Snow S cience Winter School will teach these modern techniques of snow measurement s. The school consists of a field training complemented by theoretical less ons. It includes the practice with some of the state-of-the-art snow measur ement techniques (specific surface area by reflection and spectroscopy, nea r-infrared photography, high-resolution penetrometry, micro-tomography, etc ). A special focus will be on laboratory measurements using X-ray tomog raphy. The course participants will learn sampling, transport and proc essing techniques of their samples, with hands-on lectures.
Graduate students or post-doc working on snow or in some sno w related cryospheric science.
The foc us of this school lies on natural and artificial snowpack field measurement s combined with theoretical lessons in the classroom. Students are supervis ed by a team of lecturers, experts in various snow-related fields and from different countries worldwide.
Field measurements will be done in sma ll groups of 3-4 students. Each group of students will have to prepare a re port describing the methods, results and interpretation of the data they wi ll have collected over the week, in addition to other inputs that could be provided (modelling data for example). We expect that the participants have prepared on self-learning material before the field course, submitted 5 we eks before the start of the course.
The course corresponds to 3 ETCS-Points. To receive full credit, a report taking 40 ho
urs of work must be handed in and will be evaluated.
Additional lecturers will be filled in s oon.
For more information and registration visit the Snow Science Wi nter School website.
DTSTAMP:20260404T095150Z DTSTART;TZID=UTC;VALUE=DATE:20230129 DTEND;TZID=UTC;VALUE=DATE:20230205 SEQUENCE:0 TRANSP:OPAQUE END:VEVENT END:VCALENDAR