Comparing an insurer’s perspective on building damages with modelled damages from pan-European winter windstorm event sets: a case study from Zurich, Switzerland
These scripts reproduce the main results of the paper:
Christoph Welker (1), Thomas Röösli (2,3), David N. Bresch (2,3): Comparing an insurer’s perspective on building damages with modelled damages from pan-European winter windstorm event sets: a case study from Zurich, Switzerland, submitted to the journal Natural Hazards and Earth System Sciences (NHESS)
(1) GVZ Gebäudeversicherung Kanton Zürich, Zurich, Switzerland
(2) Institute for Environmental Decisions, ETH Zurich, Zurich, Switzerland
(3) Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland
Contact: Thomas Röösli
one jupyter notebook and one independent script for Python 3.6 with CLIMADA 1.4.1:
damage model and risk assessment Fig 1, 2, 3, 4 Tables 1 and A1
Storm Severity Index and General Extremal Value Distribution Selection of parameters for the creation of probabilistic events Sections 2.2.3
requires the download of the "historic storm footprints" as .netcdf files from the webpage https://wisc.climate.copernicus.eu/wisc/#/help/products#footprint_section
Requires Python 3.6 and CLIMADA v1.4.1 (or later): https://github.com/CLIMADA-project/climada_python/ Documentation: https://github.com/CLIMADA-project/climada_python/blob/master/doc/source/install.rst
- Publication: now submitted (will be linked here as soon as available)
Documentation for CLIMADA is available on Read the Docs:
Documentation for the StromEurope module is available on Read the Docs:
If script fails, revert CLIMADA version to release v1.4.1 (2020-03):
- from GitHub
- from ETH Data Archive
created 20 February 2020