Next Article in Journal
Integrated Reservoir Characterization Study of the McKee Formation, Onshore Taranaki Basin, New Zealand
Next Article in Special Issue
Estimating Regional Scale Hydroclimatic Risk Conditions from the Soil Moisture Active-Passive (SMAP) Satellite
Previous Article in Journal
Characteristic and Mixing Mechanisms of Thermal Fluid at the Tampomas Volcano, West Java, Using Hydrogeochemistry, Stable Isotope and 222Rn Analyses
Previous Article in Special Issue
Comparison of the Performance of Six Drought Indices in Characterizing Historical Drought for the Upper Blue Nile Basin, Ethiopia
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Geosciences 2018, 8(4), 104; https://doi.org/10.3390/geosciences8040104

Drought Prediction System for Central Europe and Its Validation

1
Global Change Research Institute of the Czech Academy of Sciences, Bělidla 986/4a, 603 00 Brno, Czech Republic
2
Czech Hydrometeorological Institute, Brno Regional Office, Kroftova 43, 616 67 Brno, Czech Republic
3
Institute of Agrosystems and Bioclimatology, Mendel University, Zemědělská 1, 613 00 Brno, Czech Republic
*
Author to whom correspondence should be addressed.
Received: 16 January 2018 / Revised: 15 February 2018 / Accepted: 15 March 2018 / Published: 21 March 2018
(This article belongs to the Special Issue Drought Monitoring and Prediction)
View Full-Text   |   Download PDF [6330 KB, uploaded 3 May 2018]   |  

Abstract

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. View Full-Text
Keywords: drought prediction; soil moisture models; SoilClim model; AVISO model; medium range forecast drought prediction; soil moisture models; SoilClim model; AVISO model; medium range forecast
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Štěpánek, P.; Trnka, M.; Chuchma, F.; Zahradníček, P.; Skalák, P.; Farda, A.; Fiala, R.; Hlavinka, P.; Balek, J.; Semerádová, D.; Možný, M. Drought Prediction System for Central Europe and Its Validation. Geosciences 2018, 8, 104.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Geosciences EISSN 2076-3263 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top