Snow is an important component of the hydrologic cycle. The seasonal sto rage of water in the snowpack may last over months, and its delayed release is a major factor in guaranteeing a reliable water supply for ecosystems a nd human needs during dry periods. On the other hand, rapid snowmelt can ca use destruction through sudden floods, mostly in combination with rainfall.
The spatial heterogeneity of snow accumulation and ablation in compl ex terrain is as a result of multiple processes, and accurate snow cover es timations remain a challenge. Increasing air temperatures and changing prec ipitation patterns, driven by climate change, will modify snow conditions a nd thus lead to changing water supplies. The consequences of reduced snow d uration and the fact that rain will make up an increasing share of overall precipitation will completely change the hydrology of many regions and may lead to severe water problems.
Traditional snow measuring methods pro vide accurate information at the point scale, but they lack spatial coverag e. Latest remote sensing techniques on the other hand are able to monitor t he snowpack over large spatial domains, but may be limited by temporal reso lution and are often biased. Hydrological models require reliable input dat a, but the availability of such data is particularly limited for mountainou s regions. The simulation of snowmelt often lacks sufficient spatial and te mporal detail, so that the forecasting of snowmelt runoff for operational p urposes is still a challenging task.
Abstract submission dead line: 30th September, 2019
Deadline for early bird registration and presenters: 30th November 2019
More detai ls can be found in the website: https://snowhydro.eurac.edu/.
DTSTAMP:20260421T000155Z DTSTART;TZID=UTC;VALUE=DATE:20200128 DTEND;TZID=UTC;VALUE=DATE:20200201 SEQUENCE:0 TRANSP:OPAQUE END:VEVENT END:VCALENDAR