CLIMADA
Using state-of-the-art probabilistic modelling, external pageCLIMADA allows to estimate the expected economic damage as a measure of risk today, the incremental increase from economic growth and the further incremental increase due to climate change (see infograph below). The economics of climate adaptation methodology as implemented in CLIMADA provides decision makers with a fact base to understand the impact of weather and climate on their economies, including cost/benefit perspectives on specific risk reduction measures. The model is well suited to provide an open and independent view on physical risk, in line with e.g. the TCFD (Task Force for Climate-related Financial Disclosure), and underpins the Economics of Climate Adaptation (ECA) approach.
As of today, CLIMADA provides global coverage of major climate-related extreme-weather hazards at high resolution via a data API, namely (i) tropical cyclones, (ii) river flood, (iii) agro drought and (iv) European winter storms, all at 4km spatial resolution - wildfire to be added soon. For all hazards, historic and probabilistic event sets exist, for some also under select climate forcing scenarios (RCPs) at distinct time horizons (e.g. 2040).
CLIMADA is developed, maintained and available open-source in Python 3.x Free use and access under GNU GPL3 on external pageGitHub. Data freely available under CC BY 4.0 via the CLIMADA data API (application programming interface, metadata provided).
Many people in the WCR group are working with CLIMADA. The people leading CLIMADA model development are:
Global tropical cyclones, 1987-2016, CLIMADA impact animation: external pagehttps://vimeo.com/225984816
Example: economic impact: external pagehttps://vimeo.com/198389316
Extensive technical documentation of CLIMADA to be found external pagehere and further details external pagehere.
Please find key CLIMADA publications external pagehere as well as on external pageZotero.
