CRYOMON- SciPro

Improve the Science of Processes within the Cryosphere by Integrating Hydrological Modelling with Remote Sensing in a Multi-Level Data Fusion Approach - a Contribution to Cryosphere Monitoring in the EUREGIO Region

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  • Project duration: January 2016 - May 2019
  • Project status:
    Finished
  • Funding:
    Public institutions (Other projects /Project)

The cryosphere (here: snow, ice and glaciers) is the most important inter-seasonal water storage component in the Alps. Apart from direct observations, hydrological models are the most common approach to study cryospheric processes. However, particularly at larger scales (>10’000 km²), critical processes such as radiative transfer, snow albedo and the energy balance remain underdetermined due to missing spatially explicit data. Satellite remote sensing is a promising technology for generating spatially explicit information on snow for larger areas, but operational products are mostly limited to the detection of snow cover only.

In view of this, the central idea of CRYOMON-SciPro, a project financed by the EUREGIO research fund, is to exploit the complementary character of physically based hydrological modelling and improved satellite remote sensing products for monitoring key processes within the cryosphere, by integrating both methods in an innovative approach (multi-level data fusion). The innovations expected to result from this project include:

- An improved representation and understanding of the spatial and temporal dimension of key processes within the cryosphere at larger scales

- A flexible data integration concept based on machine learning and pattern recognition techniques

- The integration of data from new and innovative field measurement techniques and satellite data (Sentinel 1 and 2).

CRYOMON-SciPro makes use of the EUREGIO region as a field laboratory for cryosphere research with well-instrumented test-sites, high data availability, good contact to authorities and climatological conditions, representative of different Alpine zones. The results of the project will thus have a scientific value that is well beyond the EUREGIO region.

Contact person: Claudia Notarnicola, Mattia Callegari

claudia.notarnicola@eurac.edu

mattia.callegari@eurac.edu



Publications
Identifying the snow melting dynamics by exploiting the multi-temporal Sentinel-1 backscattering
Premier V, Bertoldi G, Callegari M, Brida C, Hürkamp K, Tschiersch J, Zebisch M, Notarnicola C, Bruzzone L, Marin C (2019)
Presentation/Speech

Conference: Esa Living Planet Symposium | Milan | 13.5.2019 - 17.5.2019

http://hdl.handle.net/10863/11638

The Relationship Between the Multi-Temporal Sentinel-1 Backscattering and the Snow Melting Dynamics in Alpine Region
Marin C, Bertoldi G, Premier V, Callegari M, Brida C, Hürkamp K, Tschiersch J, Zebisch M, Notarnicola C (2019)
Conference proceedings article

Conference: European Conference on Antennas and Propagation (EuCAP) | Krakow, Poland, Poland | 31.3.2019 - 5.4.2019

More information: https://ieeexplore.ieee.org/document/8740300

https://doi.org/978-88-907018-8-7

http://hdl.handle.net/10863/12597

VALIDATION OF REMOTE SENSING DATA ON WET SNOW WITH IN SITU MEASURED LIQUID WATER CONTENTS OF THE ALPINE SNOWPACK FOR THE PREDICTION OF SNOWMELT AND MASS TRANSPORT PROCESSES
Hürkamp K, Marin C, Callegari M, Notarnicola C, Bertoldi G, Hachinger S, Meyer-Arnek G, Tschiersch J (2018)
Presentation/Speech
A Model Driven Approach for Snow Wetness Retrieval with SENTINEL-1
Marin C, Callegari M, Günther D, Bertoldi G, Marke T, Strasser U, Bruzzone L, Zebisch M, Notarnicola C (2018)
Presentation/Speech
Analysis of two spontaneous avalanche events based on the observations of the Long-Term Ecological Research network in Matsch, Südtirol, Italy
Brida C, Bertoldi G, Premier V, Marin C, Zandonai A, Niedrist G, Callegari M, Notarnicola C (2018)
Presentation/Speech
Conseguenze del cambiamento climatico sulla neve
Bertoldi G (2017)
Radio-TV
Snow model sensitivity analysis to understand spatial and temporal snow dynamics in a high-elevation catchment: Hydrological Processes
Engel M, Notarnicola C, Endrizzi S, Bertoldi G (2017)
Journal article
Hydrological processes

https://doi.org/10.1002/hyp.11314

http://hdl.handle.net/10863/6940

Do we need a dynamic snow depth threshold when comparing hydrological models with remote sensing products in mountain catchments?
Engel M, Bertoldi G, Notarnicola C, Comiti F (2017)
Presentation/Speech
A simple method to combine snow height and meteorological observations to estimate winter precipitation at sub-daily resolution
Mair E, Leitinger G, Della Chiesa S, Niedrist G, Tappeiner U, Bertoldi G (2016)
Journal article
Hydrological sciences journal = Journal des sciences hydrologiques

More information: http://www.tandfonline.com/doi/abs/10.1080/02626667.2015.108 ...

https://doi.org/10.1080/02626667.2015.1081203

http://hdl.handle.net/10863/6466

Partner
Universität Innsbruck, Fakultät für Geo- und Atmosphärenwissenschaften, Institut für Geographie
University of Trento, Information engineering and computer science

Our partners

Project Team
1 - 8

Christian Brida

Team Member

Projects

1 - 6
Project

NEXOGENESIS

Facilitating the next generation of effective and intelligent water-related policies utilising ...

Duration: August 2021 - November 2021Funding:
Societal Challenge (Horizon 2020 /EU funding /Project)

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