Challenges and opportunities for Sendai framework disaster loss reporting in the United States

Wilkins, Aleeza M.; Pennaz, Alice; Dix, Monica; Smith, Adam B.; Vawter, Jacob; Karlson, Daniel; Tokar, S.A.; Brooks, Emily

doi:10.1016/j.pdisas.2021.100167

Cited by 13 publications

(2 citation statements)

References 17 publications

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“…In spite of this, multinational organizations, such as the World Meteorological Organization (WMO) and the Global Water Partnership, have programmes and policies to support the implementation of the Sendai Framework. The challenge with the Sendai framework is the lack of consistent and systematic data collection and reporting regimes from established government agencies [18]. Resolving this challenge enhances communication and ensures that early warnings reach the final consumer or individual.…”

Section: Related Literature On Ews 21 Fundamental Tenet Of Early Warn...mentioning

confidence: 99%

“…Additionally, machine-learning and satellite remote sensing approaches offer an opportunity to monitor deep-seated landslide deformation and associated processes [88]. Appendix A shows the different approaches to resolving challenges, and it also demonstrates the need to have systematic data and structured data collection and integration techniques [18]. Hence, when a JavaScript library is built into the web browser, it facilitates data collection and enhances user interaction with climate simulation applications.…”

Section: Existing Climate-related Early Warning Systemsmentioning

confidence: 99%

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A Systematic Review of Existing Early Warning Systems’ Challenges and Opportunities in Cloud Computing Early Warning Systems

Agbehadji,

Mabhaudhi,

Botai

et al. 2023

Climate

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This paper assessed existing EWS challenges and opportunities in cloud computing through the PSALSAR framework for systematic literature review and meta-analysis. The research used extant literature from Scopus and Web of Science, where a total of 2516 pieces of literature were extracted between 2004 and 2022, and through inclusion and exclusion criteria, the total was reduced to 98 for this systematic review. This review highlights the challenges and opportunities in transferring in-house early warning systems (that is, non-cloud) to the cloud computing infrastructure. The different techniques or approaches used in different kinds of EWSs to facilitate climate-related data processing and analytics were also highlighted. The findings indicate that very few EWSs (for example, flood, drought, etc.) utilize the cloud computing infrastructure. Many EWSs are not leveraging the capability of cloud computing but instead using online application systems that are not cloud-based. Secondly, a few EWSs have harnessed the computational techniques and tools available on a single platform for data processing. Thirdly, EWSs combine more than one fundamental tenet of the EWS framework to provide a holistic warning system. The findings suggest that reaching a global usage of climate-related EWS may be challenged if EWSs are not redesigned to fit the cloud computing service infrastructure.

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Section: Related Literature On Ews 21 Fundamental Tenet Of Early Warn...mentioning

confidence: 99%

Section: Existing Climate-related Early Warning Systemsmentioning

confidence: 99%