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Quality-Assured Meteorological Data for the Copernicus Emergency Management Service

Author(s): Michael Natschke; Peter Salamon; Christoph Schweim; Dirk Schwanenberg

Linked Author(s): Dirk Schwanenberg

Keywords: Meteorological data; Data validation; Quality assurance

Abstract: The early warning services of the Copernicus Emergency Management Service (EMS) are composed of the European Flood Awareness System (EFAS) and the European Forest Fire Information System (EFFIS). Both systems provide national and regional authorities as well as the European Commission services with added value information to forecast and monitor floods and forest fire hazards at the European scale. A key component for the operation of both systems is the Meteorological Data Collection Centre (EMS-MDCC). It has been designed to collect and to validate meteorological observations, to produce a European grid of 5 km by 5 km of essential variables on a 6-hourly basis and to make it available for downstream usage as input to the forecast systems. The focus of this paper is the quality assurance and quality control framework for the real-time, automated processing of the meteorological data and the interaction between the system and its operating staff.


Year: 2017

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