V
Vojtěch Bližňák
Researcher at Academy of Sciences of the Czech Republic
Publications - 19
Citations - 239
Vojtěch Bližňák is an academic researcher from Academy of Sciences of the Czech Republic. The author has contributed to research in topics: Precipitation & Numerical weather prediction. The author has an hindex of 8, co-authored 15 publications receiving 184 citations. Previous affiliations of Vojtěch Bližňák include University of Lisbon & Charles University in Prague.
Papers
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Areal distribution and precipitation–altitude relationship of heavy short-term precipitation in the Czech Republic in the warm part of the year
Zbyněk Sokol,Vojtěch Bližňák +1 more
TL;DR: In this paper, the authors presented an analysis of heavy short-term precipitation for the warm part of the year in the Czech Republic (CR) for the years 2002-2007 with a horizontal resolution of 1 km and a temporal resolution of one hour.
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Probabilistic precipitation nowcasting based on an extrapolation of radar reflectivity and an ensemble approach
TL;DR: In this article, a new method for the probabilistic nowcasting of instantaneous rain rates (ENS) based on the ensemble technique and extrapolation along Lagrangian trajectories of current radar reflectivity is presented.
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Nowcasting of deep convective clouds and heavy precipitation: Comparison study between NWP model simulation and extrapolation
TL;DR: In this article, an evaluation of convective cloud forecasts performed with the numerical weather prediction (NWP) model COSMO and extrapolation of cloud fields is presented using observed data derived from the geostationary satellite Meteosat Second Generation (MSG).
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Ensemble forecasts of road surface temperatures
TL;DR: In this article, a new ensemble technique for road surface temperature (RST) forecasting using an energy balance and heat conduction model is described. But the ensemble spread is too small and underestimates the uncertainty in the RST forecast, due to errors in the rain and snow forecast by the numerical weather prediction (NWP) model.
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Combined assimilation of screen‐level observations and radar‐derived precipitation for soil moisture analysis
TL;DR: In this article, a methodology is proposed in order to combine information from radar precipitation with other observations (e.g., screen-level temperature and relative humidity) in a soil analysis scheme based on an extended Kalman filter.