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MYRIAD-HESA
Year of publication: 2023
Access: Open access
Link: Journal article: https://www.nature.com/articles/s41598-023-40400-5, Data: https://zenodo.org/records/8269680, Code: https://zenodo.org/records/8272755
Organisation(s) / Author(s): Organisations: Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam; Deltares; Risklayer GmbH; CEDIM, Karlsruhe Institute of Technology, Karlsruhe. Authors: Judith N. Claassen, Philip J. Ward, James Daniell, Elco E. Koks, Timothy Tiggeloven & Marleen C. de Ruiter
Description
MYRIAD-Hazard Event Sets Algorithm (MYRIAD-HESA) is a fully open-access Python-based algorithm that can create multi-hazard event sets from any single hazard events that occur on varying time, space, and intensity scales. The development of the algorithm is described in detail in a scientific article (https://www.nature.com/articles/s41598-023-40400-5) and the code is available at https://zenodo.org/records/8272755. In the scientific article, the authors also apply the algorithm to develop a global multi-hazard event set (MYRIAD-HES), which is available at https://zenodo.org/records/8269680.
The abstract to the scientific paper provides further context on the paper, code, and dataset:
Abstract: This study presents a new method, the MYRIAD-Hazard Event Sets Algorithm (MYRIAD-HESA), that compiles historically-based multi-hazard event sets. MYRIAD-HESA is a fully open-access method that can create multi-hazard event sets from any hazard events that occur on varying time, space, and intensity scales. In the past, multi-hazards have predominately been studied on a local or continental scale, or have been limited to specific hazard combinations, such as the combination between droughts and heatwaves. Therefore, we exemplify our approach by compiling a global multi-hazard event set database, spanning from 2004 to 2017, which includes eleven hazards from varying hazard classes (e.g. meteorological, geophysical, hydrological and climatological). This global database provides new scientific insights on the frequency of different multi-hazard events and their hotspots. Additionally, we explicitly incorporate a temporal dimension in MYRIAD-HESA, the time-lag. The time-lag, or time between the occurrence of hazards, is used to determine potentially impactful events that occurred in close succession. Varying time-lags have been tested in MYRIAD-HESA, and are analysed using North America as a case study. Alongside the MYRIAD-HESA, the multi-hazard event sets, MYRIAD-HES, is openly available to further increase the understanding of multi-hazard events in the disaster risk community. The open-source nature of MYRIAD-HESA provides flexibility to conduct multi-risk assessments by, for example, incorporating higher resolution data for an area of interest.
The abstract is copied from the original journal article (Claassen et al., 2023: https://www.nature.com/articles/s41598-023-40400-5), which is published under a CC BY 4.0 DEED license (https://creativecommons.org/licenses/by/4.0/)
Technical considerations
The code (MYRIAD-HESA) is written in Python. The multi-hazard event dataset (MYRIAD-HES) is provided in a .csv file
Keywords
Multi-hazard Multi-hazard dataset MYRIAD-HESA