Large areas of the world – almost the entire land surface of the Northern Hemisphere are affected by snow cover; including strong dynamics e.g. snowfall & melting in short periods. The snow is the basis of hydropower production, and critical for flood events, and other aspects of daily residents life and economy.
Since the most relevant parameter, the water stored in the snow cover, known as the Snow Water Equivalent (SWE), is only measurable by costly automatic stations or manual field campaigns, the information for remote areas – not densely populated or equipped with traffic infrastructure - is mostly missing. On these areas in North America, Scandinavia and Eurasia, the snow cover nevertheless has a strong impact in economy and security.
SnowSense will design, develop and demonstrate a pre-operational service for the area of the island of Newfoundland / Canada. By using a novel, GNSS based in-situ snow monitoring system, in combination of existing technologies (EO and water balance modelling), the gaps of knowledge of the SWE in remote or mountainous areas will be filled. The team will work out a cost efficient and autonomous operating system to provide the relevant information for the users.
SnowSense is targeting operational hydrological users in areas where snow has significant impact on the run-off generation:
Both user sectors share the needs for an improved knowledge on the current snow situation, the snow properties (e.g. status) and the volume of the stored water in the catchments. Especially in remote areas reliable information on snow and run-off is totally missing. Nevertheless they have to make decisions on the water management (e.g. dam regulations). Snow and run-off information, enhanced by model based run-off and hydropower calculations and forecast will help to:
Within the demonstration two Canadian users, located in Newfoundland, one in the domain of the commercial sector and one in the domain of the public sector, are involved. Both users participate by active support during the service design and the service and hardware installation.
Targeted users for this service are located in North America, Scandinavia and all countries (more than 40 in the world) with significant snow cover and dynamics, e.g. with mountainous areas or critical catchments.
One of the key elements for the provision of Snow Information and Run-off Forecasts is the use of a novel in-situ hardware component for snow properties measurements.
Based on GNSS signals, the snow properties (e.g. the amount of water stored in the snow cover (=snow water equivalent) and the status of the snow (liquid water content)) can be retrieved by an autonomous operating, easy installable, maintenance free and low cost design sensor.
Satcom capabilities of the sensor system support the distributed installation of the in-situ hardware in large and remote areas.
Enhanced by the existing technologies of EO snow monitoring (using e.g. Sentinel-1) and snow modeling (using a physically based land surface process model) a reliable, state of the art snow information system will be installed.
Based on the snow information run-off calculations and hydropower forecasts can be provided.
Within SnowSense three space components show their excellent potential for solving the specific users needs for snow monitoring:
While Earth Observation is an applied method to retrieve information from remote and large areas surfaces, the use of GNSS as source of information retrieval is novel technology.
Using the signals of existing GNSS satellites (e.g. GPS) the physical properties of the snow cover can be derived at the locations of the distributed in-situ stations.
Satcom, as growing component in M2M communications helps SnowSense to retrieve information from all distributed station locations.
The Demo Project started in February 2015, has completed his first two years.
After the BDR (September 2015) and the CDR (March 2016), the FAT was accomplished (March 2017).
A first set of prototype in-situ stations has been installed in Newfoundland/Canada for snow parameter measurements during the winter 2015/2016 and updated for winter 2016/2017. Additional test and demo stations had been deployed in Switzerland, Austria and Germany.
The assimilation of in-situ snow measurements and the information from EO monitoring, using Sentinel-1, with focus on the detection of snow melting processes, had been integrated to the hydrological model.
Products of the distribution of the snow-water-equivalent and the runoff can now be provided.
The full service set-up and the demo is planned for winter 2017/2018.