National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Summary report for providing meteorological forecasts for CEPS company
Farda, Aleš ; Štěpánek, Petr ; Meitner, Jan ; Zahradníček, Pavel
Global Change Research Institute CAS provides CEPS company with outputs from numerical weather prediction (NWP) models. The cooperation lasts from 2015 up to now. Selected fields of meteorological variables (namely solar radiation - global and direct, and air temperature in 2 m) are processed from grib files into suitable spatial information, like administrative districts (areal averages) or position of grid points of GFS model. NPW models used are ALADIN from Czech Hydrometeorological Institute and GFS model (from NCEP, NOAA). Outputs are provided for several days ahead, and are issued each morning.
Regional yield forecasting for improved decision making in the plant production
Trnka, Miroslav ; Hlavinka, Petr ; Kudláčková, Lucie ; Balek, Jan ; Meitner, Jan ; Možný, Martin ; Štěpánek, Petr ; Bartošová, Lenka ; Semerádová, Daniela ; Bláhová, Monika ; Lukas, Vojtěch ; Žalud, Zdeněk
The methodology describes how to predict yields of key crops, and at the same time addresses reliability of the predictions and how these can be used. The ability to predict yield levels more than 2 months prior the harvest on the level of regions (NUTS3¨) and districts (LAU1) brings also new opportunities to mitigate impacts of adverse conditions. The methodology shows that the yield forecasts and yield anomalies in particular are consistent and usable in practices. In this methodology, the results of 2018 yield forecasts are presented as an example. The yield forecasting system for the Czech Republic is fully functional and is and will be available through www.vynosy-plodin.cz.
System for monitoring and forecast of impacts of agricultural drought
Trnka, Miroslav ; Štěpánek, Petr ; Chuchma, F. ; Možný, M. ; Bartošová, Lenka ; Hlavinka, Petr ; Balek, Jan ; Zahradníček, Pavel ; Skalák, Petr ; Farda, Aleš ; Semerádová, Daniela ; Meitner, Jan ; Bláhová, M. ; Fiala, R. ; Žalud, Zdeněk
The methodology describes how to predict soil moisture and drought intensity, and at the same time addresses reliability of the predictions and how these can be used. The ability to predict soil moisture values over a period of up to 9 days is presented through using ensemble of models for numerical weather forecasts. This method brings also new opportunities to mitigate impacts during drought events by farmers using such forecasting tools. With regard to the relatively high predictability of soil moisture and drought intensity, the methodology introduces the basic procedures and provides necessary information for the users. In this methodology, the results of 2017 drought event are presented as an example. The drought forecasting system for the Czech Republic is fully functional and is and will be available through www.intersucho.cz.
Forecasting models of solar powerplants and wind farms production based on numerical weather prediction models
Farda, Aleš ; Štěpánek, Petr ; Zahradníček, Pavel ; Rajdl, Kamil ; Meitner, Jan
Performance and potential of daily based forecasts of renewable energy sources power production have been investigated for the Czech Republic. The role of individual numerical weather prediction model errors has been researched and ensemble based technique has been studied as the mean to obtain more precise and reliable results providing a benefit for end users.\n\n

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1 MEITNER, Jiří
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