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Drought Prediction System for Central Europe and Its Validation
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SYSNO ASEP 0495658 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Drought Prediction System for Central Europe and Its Validation Author(s) Štěpánek, Petr (UEK-B) RID, SAI, ORCID
Trnka, Miroslav (UEK-B) RID, ORCID, SAI
Chuchma, F. (CZ)
Zahradníček, Pavel (UEK-B) RID, SAI
Skalák, Petr (UEK-B) RID, SAI, ORCID
Farda, Aleš (UEK-B) RID, SAI
Fiala, R. (CZ)
Hlavinka, Petr (UEK-B) RID, ORCID, SAI
Balek, Jan (UEK-B) ORCID, SAI, RID
Semerádová, D. (CZ)
Možný, M. (CZ)Number of authors 11 Article number 104 Source Title Geosciences. - : MDPI - ISSN 2076-3263
Roč. 8, č. 4 (2018)Number of pages 20 s. Language eng - English Country CH - Switzerland Keywords model ; morecs ; drought prediction ; soil moisture models ; SoilClim model ; AVISO model ; medium range forecast Subject RIV DG - Athmosphere Sciences, Meteorology OECD category Meteorology and atmospheric sciences R&D Projects QJ1610072 GA MZe - Ministry of Agriculture (MZe) GA17-10026S GA ČR - Czech Science Foundation (CSF) Institutional support UEK-B - RVO:86652079 UT WOS 000434860400002 EID SCOPUS 85044649011 DOI 10.3390/geosciences8040104 Annotation In recent years, two drought monitoring systems have been developed in the Czech Republic based on the SoilClim and AVISO soil moisture models. The former is run by Mendel University and Global Change Research Institute (CAS), while the latter, by the Czech Hydrometeorological Institute. SoilClim is based more on real soil properties and aimed primarily at agriculture, while AVISO complements the system with more theoretical presumptions about soil, showing, rather, climatological potential. Both soil moisture models were complemented by forecasts on a daily basis, taking meteorological inputs from NWP (Numerical Weather Prediction) models and thus giving short- to mid-range outlooks up to 9 days ahead. Validation of the soil moisture and drought intensity prediction was performed and is presented in this article showing its prediction reliability and potential. In the analysis, we focus mainly on the past year, 2017. The tool has strong predictive power for soil moisture and drought intensity so it is suitable for farmers who need to make decisions about irrigation and production activities. The presented system is fully functional and can be applied in the coming years. Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2019
Number of the records: 1