MYRIAD-HESA - Revision history

Myriad-admin at 16:12, 4 April 2025

2025-04-04T16:12:12Z

← Older revision		Revision as of 17:12, 4 April 2025
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	\|Access=Open		\|Access=Open
	\|Link=Journal article: https://www.nature.com/articles/s41598-023-40400-5, Data: https://zenodo.org/records/8269680, Code: https://zenodo.org/records/8272755		\|Link=Journal article: https://www.nature.com/articles/s41598-023-40400-5, Data: https://zenodo.org/records/8269680, Code: https://zenodo.org/records/8272755
	\|Author(s)=Claassen, J.N., Ward, P.J., Daniell, J., Koks, E.E., Tiggeloven, T. and de Ruiter, M.C~~., 2023~~.		\|Author(s)=Claassen, J.N., Ward, P.J., Daniell, J., Koks, E.E., Tiggeloven, T. and de Ruiter, M.C.
	\|Organisation(s)=Vrije Universiteit Amsterdam; Risklayer GmbH;		\|Organisation(s)=Vrije Universiteit Amsterdam; Risklayer GmbH;
	\|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.		\|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.

Myriad-admin at 16:11, 4 April 2025

2025-04-04T16:11:48Z

← Older revision		Revision as of 17:11, 4 April 2025
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	\|Access=Open		\|Access=Open
	\|Link=Journal article: https://www.nature.com/articles/s41598-023-40400-5, Data: https://zenodo.org/records/8269680, Code: https://zenodo.org/records/8272755		\|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)~~/Authors~~=~~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		\|Author(s)=Claassen, J.N., Ward, P.J., Daniell, J., Koks, E.E., Tiggeloven, T. and de Ruiter, M.C., 2023.
			\|Organisation(s)=Vrije Universiteit Amsterdam; Risklayer GmbH;
	\|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.		\|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.

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	\|Technical Considerations=The code (MYRIAD-HESA) is written in Python. The multi-hazard event dataset (MYRIAD-HES) is provided in a .csv file		\|Technical Considerations=The code (MYRIAD-HESA) is written in Python. The multi-hazard event dataset (MYRIAD-HES) is provided in a .csv file
	\|Key Words=Multi-hazard, Multi-hazard, dataset, MYRIAD-HESA		\|Key Words=Multi-hazard, Multi-hazard, dataset, MYRIAD-HESA
			\|Organisation(s)/Authors=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
	}}		}}

Myriad-admin at 16:04, 25 March 2025

2025-03-25T16:04:37Z

← Older revision		Revision as of 17:04, 25 March 2025
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	\|Key Words=Multi-hazard, Multi-hazard, dataset, MYRIAD-HESA		\|Key Words=Multi-hazard, Multi-hazard, dataset, MYRIAD-HESA
	}}		}}
	~~<div style="text-align:justify">~~
	~~'''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:~~
	<q>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.</q> 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~~


	~~</div>~~



	~~[[Category:Multi-hazard Risk Assessment]]~~

Myriad-admin at 16:04, 25 March 2025

2025-03-25T16:04:25Z

← Older revision		Revision as of 17:04, 25 March 2025
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			{{MHRA
			\|Publication Year=2023
			\|Access=Open
			\|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)/Authors=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
			\|Key Words=Multi-hazard, Multi-hazard, dataset, MYRIAD-HESA
			}}
	<div style="text-align:justify">		<div style="text-align:justify">
	'''Year of publication''': 2023		'''Year of publication''': 2023

Myriad-admin at 15:53, 11 June 2024

2024-06-11T15:53:03Z

← Older revision		Revision as of 16:53, 11 June 2024
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	MYRIAD-HESA		MYRIAD-HESA

	~~Back to '''[[Multi-hazard Risk Assessment\|Multi-hazard Risk Assessment]]'''~~
	</div>		</div>

Myriad-admin at 14:13, 31 May 2024

2024-05-31T14:13:01Z

← Older revision		Revision as of 15:13, 31 May 2024
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	Back to '''[[Multi-hazard Risk Assessment\|Multi-hazard Risk Assessment]]'''		Back to '''[[Multi-hazard Risk Assessment\|Multi-hazard Risk Assessment]]'''
	</div>		</div>



			[[Category:Multi-hazard Risk Assessment]]

Myriad-admin at 13:50, 11 March 2024

2024-03-11T13:50:13Z

← Older revision		Revision as of 14:50, 11 March 2024
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	MYRIAD-HESA		MYRIAD-HESA

	Back to '''[[~~Main Page~~\|~~<span style="color: #374CFF">Main Page~~]]'''		Back to '''[[Multi-hazard Risk Assessment\|Multi-hazard Risk Assessment]]'''
	</div>		</div>

Myriad-admin at 12:48, 8 March 2024

2024-03-08T12:48:06Z

← Older revision		Revision as of 13:48, 8 March 2024
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	MYRIAD-HESA		MYRIAD-HESA

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Philip.ward at 11:37, 8 March 2024

2024-03-08T11:37:14Z

← Older revision		Revision as of 12:37, 8 March 2024
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	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.		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 ~~algorithm~~, code:		The abstract to the scientific paper provides further context on the paper, code, and dataset:
	<q>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.</q> 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/)		<q>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.</q> 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/)

Philip.ward: Created page with "
'''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: Judit..."

2024-03-08T11:30:27Z

Created page with "<div style="text-align:justify"> '''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: Judit..."

New page

<div style="text-align:justify">
'''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 algorithm, code:
<q>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.</q> 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

Back to '''[[Wikithon 8th March (10:00-14:00 GMT)|<span style="color: #374CFF">Wikithon home page]]'''
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