Diversity of Meteorological Data of the City of Rio de Janeiro: A Proposal for Storage Architecture and Data Flow for Forecast Models
Abstract
Precipitation nowcasting is an essential component of early warning systems and consecutive actions within crisis management for extreme weather events in urban areas. This article presents the work in progress for the collection, description of features, preparation, and use of multiple meteorological observations as data sources available for the city of Rio de Janeiro. The challenge is to bring together different sources, which are available openly or under restrictions of cooperation agreements, from different portals and websites, under the responsibility of different owners in different spheres (municipal, state and federal), with the objective of developing a data lake that brings them all together and can be used for the development of forecasting models.
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