An overview of hydrometeorological datasets from a small agricultural catchment (Nučice) in the Czech Republic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F21%3A00346429" target="_blank" >RIV/68407700:21110/21:00346429 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1002/hyp.14042" target="_blank" >https://doi.org/10.1002/hyp.14042</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/hyp.14042" target="_blank" >10.1002/hyp.14042</a>
Alternative languages
Result language
angličtina
Original language name
An overview of hydrometeorological datasets from a small agricultural catchment (Nučice) in the Czech Republic
Original language description
We introduce the freely-available web-based WALNUD dataset (Water in Agricultural Landscape – NUčice Database) that includes both hydrological and meteorological records at the Nučice experimental catchment (0.53 km2), which is representative of an intensively farmed landscape in the Czech Republic. The Nučice 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 °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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10501 - Hydrology
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Hydrological Processes
ISSN
0885-6087
e-ISSN
1099-1085
Volume of the periodical
35
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
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UT code for WoS article
000624003800014
EID of the result in the Scopus database
2-s2.0-85101762022