There are various methods for conducting a climate risk assessment. The choice of method and the associated data (both climate data/projections and any additional data needed to assess hazards, vulnerabilities, and exposures) depends crucially on a clear definition of the risk being examined — particularly in terms of its dimension (physical, social, economic, institutional risk, etc.) and its spatiotemporal characteristics (e.g. a single object, or data for federal states/Austria at a spatial resolution of xy). From this, the requirements for methods and models (e.g. additional impact models for hazards and/or the use of proxies such as climate indices where appropriate) and data (including climate models, land use data, socio-economic data, etc.) can be derived. Methods can in principle be quantitative, qualitative, or a combination of both, and are guided by the objectives of the risk assessment — and often pragmatically by the availability of the necessary data. A standardised process for a climate risk and vulnerability analysis has been defined, for example, in ISO14091.
It's worth noting that the data available in Austria for climate risk analysis is generally very good; this covers the full range from climate data (see below) through to socio-economic data (see here as an example a study in the context of flooding). Appropriate methods are available, but these depend on the context and requirements.
The German Federal Environment Agency has produced a recommendation for companies on conducting a robust climate risk and vulnerability analysis in accordance with the EU Taxonomy. This is currently the only concrete recommendation on how such an analysis can be implemented. This recommendation is closely based on ISO14091.
In our view, however, the EU Taxonomy is too vaguely worded with regard to methodology to ensure a standardised, scientifically sound risk assessment. We therefore consider it essential that reports transparently present the data and methods used. This should include a description of the applied methodology with explicit reference to recognised approaches and the scientific findings on which it is based, an account of the key data and indicators used in applying this methodology, and a presentation of the associated uncertainties.