MOdel- and Remote Sensing-based Analysis of glacier-related Natural Hazards in the Tien Shan mountains (MORSANAT)


Climate-change impacts in Central Asia pose severe threats to local communities and water-resource management. In this sensitive region, no integrated analysis and cryospheric process understanding exist that provide an inventory of glacier-related hazards and other climate change impacts. The project MORSANAT aims at a feasibility study to establish a scalable modelling and remote-sensing approach to address this challenging research gap. Developed methods can be transferred from the Tien Shan to other mountain ranges. MORSANAT will develop, test and apply a modelling and analysis toolkit that uses change-detection approaches based on novel Terra SAR-X and Sentinel satellite data for the inventory of glacier related hazards (glacial surges, rapid growth of proglacial lakes, and instable moraines) and snow-water equivalent assessments. We will make use of existing modelling schemes and further advance these to model glacier change despite the highly non-linear character and limited observational data. MORSANAT will comprise remote sensing data from UP, the COSIMA glacier model (HU), the HAR dataset (TU), further dynamical and statistical downscaling approaches (TU, GFZ), and observational data from GFZ. We are confident that despite the high-risk character of the study, we will be able to achieve substantial advancements through a data-integration effort. MORSANAT integrates core competencies of several Geo.X partners including radar and optical remote sensing, atmospheric downscaling, energy and mass modelling of glacial systems, processing of large datasets, field (laboratory) observations, and uses the strategic involvement of GFZ in Central Asia via CAIAG.


Principal Investigators
Schneider, Christoph Prof. Dr. (Details) (Climate Geography)

Duration of Project
Start date: 12/2016
End date: 11/2018

Last updated on 2021-27-01 at 15:11