An overview of hydrometeorological datasets from a small agricultural catchment (Nucice) in the Czech Republic

We introduce the freely available web-based Water in an Agricultural Landscape-NUcice Database (WALNUD) dataset that includes both hydrological and meteorological records at the Nucice experimental catchment (0.53 km(2)), which is representative of an intensively farmed landscape in the Czech Republic. The Nucice experimental catchment was established in 2011 for the observation of rainfall-runoff processes, soil erosion processes, and water balance of a cultivated landscape. The average altitude is 401 m a.s.l., the mean land slope is 3.9%, and the climate is humid continental (mean annual temperature 7.9 degrees C, annual precipitation 630 mm). The catchment is drained by an artificially straightened stream and consists of three fields covering over 95% of the area which are managed by two different farmers. The typical crops are winter wheat, rapeseed, and alfalfa. The installed equipment includes a standard meteorological station, several rain gauges distributed across the basin, and a flume with an H-type facing that is used to monitor stream discharge, water turbidity, and basic water quality indicators. Additionally, the groundwater level and soil water content at various depths near the stream are recorded. Recently, large-scale soil moisture monitoring efforts have been introduced with the installation of two cosmic-ray neutron sensors for soil moisture monitoring. The datasets consist of observed variables (e.g. measured precipitation, air temperature, stream discharge, and soil moisture) and are available online for public use. The cross-seasonal, open access datasets at this small-scale agricultural catchment will benefit not only hydrologists but also local farmers.

Automated summary

The WALNUD dataset contains hydrological and meteorological records at the Nucice experimental catchment in the Czech Republic, representative of an intensively farmed landscape. The catchment is equipped with a meteorological station, rain gauges, and a flume, and records groundwater levels and soil moisture. The dataset benefits both hydrologists and local farmers.