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Supporting data findability, reliability and replicability in Earth, Meteorology and Climate science domains

Authors: Benincasa, Francesco; Lacagnina, Carlo; Simoni, Diego; Giuffrida, Maria; Willems, Marieke;

Supporting data findability, reliability and replicability in Earth, Meteorology and Climate science domains

Abstract

This EOSC in practice story targets three main types of users: (1) researchers using the uploaded data models for their own research, (2) national and international meteorological agencies, disseminating forecasts to their users, (3) policymakers, providing official data to governments and international organisations to support the decision made by the governments. The dust observations and forecasts services described in this story are offered within the context of EOSC-synergy and provided by the WMO Barcelona Dust Regional Centre. The centre was created in 2007 by the formal agreement of two Spanish institutions: the Meteorological State Agency of Spain (AEMET) and the Barcelona Supercomputing Center (BSC). The new services EOSC-based are still in their early stages, but the number of users, generic, in research, and public policy fields is already increasing. In particular, the WMO Barcelona Dust Regional Centre, through its services, allows to simulate, thanks to numerical models, the forecast of dust and sand storms in Europe, North Africa and Middle East. The Barcelona Dust Regional Centre services are already available on EOSC Marketplace! Access them here The full list of EOSC in practice stories is available here

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Keywords

EOSC in practice, service, data, user, forecast, synergy, storage, project, dust

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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