Climatic and Tectonic Natural Hazards in Central Asia (CaTeNA)

The project is part of the CLIENT II program focused on, e.g., natural risks and is funded by the Federal Ministry of Education and Research (BMBF).

High and Central Asia is one of the tectonically most active regions on Earth influenced by two major climatic systems, the Monsoon and the Westerlies. Large landslides are one of the major hazards in Central Asia and pose a threat to settlements, infrastructure and human lives.

In corporation with Deutsches GeoForschungszentrum (GFZ) and DELPHI IMM GmbH, our goal is to understand the changes in frequency, intensity, duration and cause of climatically and tectonically induced landslide hazards in Central Asia. Our focus within the project is to provide high-resolution climate data as input for a landslide susceptibility model developed by GFZ-project partners (Fig. 1).

CaTeNA (Fig. 1)

Climatic factors such as extreme rainfall and fast snow melt can trigger landslides. Detailed climate data with a high spatial and temporal resolution is a prerequisite of our investigation, which is limited in central Asia. Regional Climate Models (RCMs) with numerical downscaling methods can produce meteorological fields with adequate spatio-temporal resolution.

CaTeNA (Fig. 2)

A new version of High Asia Refined analysis ( HAR v2 ) is under development using the Weather Research and Forecast Model (WRF). Compared to the old version , HAR v2 has a larger domain covering Central Asia region and a longer time span.


  • 24.09-25.09.2020 CaTeNA final meeting online
  • 28.02.2020 CaTeNA meeting at Uni. Potsdam
  • 24.05.2019 CaTeNA meeting at Uni. Tübingen
  • 23.11.2018 CaTeMA meeting at TU Berlin
  • 04.06.2018 CaTeNA WP5 ("Landslides") meeting at GFZ
  • 10.01.2018 CaTeNA kick-off meeting at GFZ

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Scientific work at GFZ (WP5):

Dr. Bernd Schurr

Dr. Massimiliano Pittore

Dr. Ugur Öztürk

Scientific work at DELPHI (WP5):

Dr. Rolf Lessing

Ralf Puchert


Wang, X. et al. (2020):
WRF–based dynamical downscaling of ERA5 reanalysis data for High Mountain Asia: Towards a new version of the High Asia Refined analysis. Int. J. Climatol., 1-20. DOI: 10.1002/joc.6686