A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA
OPEN ACCESS
Loading...
Author / Producer
Date
2024
Publication Type
Journal Article
ETH Bibliography
yes
Citations
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
Impact functions model the vulnerability of people and assets exposed to weather and climate hazards. Given probabilistic hazard event sets or weather forecasts, they enable the computation of associated risks or impacts, respectively. Because impact functions are difficult to determine on larger spatial and temporal scales of interest, they are often calibrated using hazard, exposure, and impact data from past events. We present a module for calibrating impact functions based on such data using established calibration techniques like Bayesian optimization. It is implemented as Python submodule climada.util.calibrate of the climate risk modeling platform CLIMADA, and fully integrates into its workflow.
Permanent link
Publication status
published
External links
Editor
Book title
Journal / series
Volume
9 (99)
Pages / Article No.
6755
Publisher
Open Journals
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Impact modeling; Climate risk; Calibration and fitting methods; CLIMADA; Vulnerability; Vulnerability curves; Hazard; weather
Organisational unit
09576 - Bresch, David Niklaus / Bresch, David Niklaus