2020
DOI: 10.5194/essd-2020-302
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WegenerNet high-resolution weather and climate data 2007 to 2019

Abstract: Abstract. This paper describes the latest reprocessed data record (version 7.1) over 2007 to 2019 from the WegenerNet climate station networks, which since 2007 provide measurements with very high spatial and temporal resolution of hydrometeorological variables for two regions in the state of Styria, southeastern Austria: 1) the WegenerNet Feldbach Region, in the Alpine forelands of southeastern Styria, which extends over an area of about 22 km × 16 km and comprises 155 meteorological stations placed on a tigh… Show more

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Cited by 2 publications
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“…(2014); Fuchsberger et al (2020). Together with a range of meteorological variables such as temperature, humidity, precipitation and wind, it also measures soil moisture and temperature at 12 stations.…”
Section: A64 Wegenernetmentioning
confidence: 99%
“…(2014); Fuchsberger et al (2020). Together with a range of meteorological variables such as temperature, humidity, precipitation and wind, it also measures soil moisture and temperature at 12 stations.…”
Section: A64 Wegenernetmentioning
confidence: 99%
“…The network includes 155 ground stations, almost uniformly spread over an area of about 22 km × 16 km (i.e., about one station per 2 km 2 ) provided by the Wegener Centre for Climate and Global Change, University of Graz, Austria (Kirchengast et al, 2014;Fuchsberger et al, 2020b). The highest altitude in this region is 609 m above Mean Sea Level (MSL), located in the Southern part.…”
Section: Wegenernetmentioning
confidence: 99%
“…The raw measurements are checked by seven layers of the Quality Control System (QCS), from checking station operation and availability to interstation consistency. For detailed descriptions of the quality control system, we refer to Kabas et al (2011), Kirchengast et al (2014), Scheidl (2014), andFuchsberger et al (2020b). In this study, we used WegenerNet gridded data from WegenerNet"s level 2 data (Fuchsberger et al, 2020a), generated with the inverse-distance-squared weighting method based on quality-controlled station data, and provided on a 200 m grid.…”
Section: Wegenernetmentioning
confidence: 99%