CryoSCOPE

CryoSCOPE logo

Status: Running

A multi-national project to understand the Cryosphere–Atmosphere–Hydrosphere system through AI, remote sensing, and stakeholder-driven modeling.

cryosphere remote sensing snow and ice machine learning environmental modeling cold regions

CryoSCOPE explores the Cryosphere, Atmosphere, and Hydrosphere (CAH) coupled system to enhance understanding of how ice, snow, and permafrost interact with atmospheric and water systems in the cold regions of the Svalbard (Norway), Finnish Lapland, Iceland, the Swiss Alps, and the Indian Himalayas.

The project utilizes cutting-edge ground-based measurements and remote sensing proxies. With 19 partners across 8 countries, CryoSCOPE analyzes the real-world impacts of local to global-scale modeling and AI-driven applications for various end-users. Applications include:

  • Improving winter trafficability in Finland
  • Optimizing hydropower generation in the Nordics and Switzerland
  • Mapping glacial lake outburst flood (GLOF) hazards
  • Predicting drought impacts in cold regions

Through stakeholder collaboration, CryoSCOPE develops tailored services that integrate machine learning with physics-based models to predict snow and ice-related processes. By creating targeted adaptation and mitigation strategies, CryoSCOPE strengthens climate resilience in some of the world’s most vulnerable frozen landscapes.


Team Members