Permafrost remains poorly addressed in the Hindu Kush Himalaya (HKH) region although it contributes significantly to catchment hydrology and hazards in the region. Building on previous training workshops on snow and glacier monitoring, this training will introduce permafrost – as the third pillar of the cryosphere.
The training will introduce participants to field monitoring and sensor technology and using the data obtained for modelling. Participants will also learn how to access and process freely-accessible data.
Training content
Participants will be introduced to the theory of permafrost and relevant data products used to estimate permafrost. They will also receive training on field monitoring and data analysis. While focusing on permafrost, we will also provide basic training on coding languages (python, R, GEE) and guide them on how to make codes traceable and reproducible via GitHub.
The training will follow a hybrid modality. Participants who are unable to travel to Kathmandu, Nepal will be able to participate online.
Objectives
- Theoretical understanding of permafrost modelling, data collection, and data analysis
- Theoretical understanding of the climatic drivers of permafrost change
- Introduce best practices in coding and sharing research insights
- Foster networks and collaboration between researchers in the region
