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Abstract
Abstract. The Basque Country Mesonet measures more than 130 000 observations daily from its 85 Automatic Weather Stations (AWS). It becomes clear that automated software is an indispensable tool for quality assurance (QA) of this mesoscale surface observing network. This work describes a set of experimental semi-automatic quality control (QC) routines that is applied at Euskalmet data center. It has paid special attention to level validation design and associated flags, as well as to the system outputs, which are used by meteorologist and maintenance staff.
Highlights
In 1991 the Basque Meteorological Service (Basque Government) began the deployment of an Automatic Weather Stations (AWS) network
It is noted that flood return periods are quite small in most of the short length hydrologic basins of the Basque Country, especially those oriented to the Cantabrian Sea
Nowadays the Mesonet has more than 85 AWS spread over the Basque Country, a quite high density network (Fig. 2) (Gaztelumendi et al, 2003)
Summary
In 1991 the Basque Meteorological Service (Basque Government) began the deployment of an AWS network. Priority was given to the real time observation of water surface level of the rivers. Much of the stations are gauging or water quality, located in valley bottoms, along the river beds (Fig. 1). Nowadays the Mesonet has more than 85 AWS spread over the Basque Country (just over 7000 km2), a quite high density network (Fig. 2) (Gaztelumendi et al, 2003). From the beginning it became necessary to perform quality control tasks, both in real time and on recorded data (Navazo et al, 1999; Maruri et al, 2003). The context in which this work was carried out corresponds to the real time monitoring and nowcasting requirements in Euskalmet (Gaztelumendi et al, 2006). Provides information of great use to the QA system
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