A5005999706- Meteorological Phenomena and Simulations
- Climate variability and models
- Tropical and Extratropical Cyclones Research
- Geophysics and Gravity Measurements
- Economic and Fiscal Studies
- Regional Economic and Spatial Analysis
- Precipitation Measurement and Analysis
- Geological and Geophysical Studies
- Catalytic Alkyne Reactions
- Management and Organizational Practices
- Catalytic Cross-Coupling Reactions
- Leadership, Human Resources, Global Affairs
- Catalytic C–H Functionalization Methods
- Education, Psychology, and Social Research
- Hydrological Forecasting Using AI
- Ocean Waves and Remote Sensing
- Atmospheric and Environmental Gas Dynamics
Charles University
2016
European Centre for Medium-Range Weather Forecasts
2011-2014
Czech Hydrometeorological Institute
2003
In this article the concept of weather regimes is used to assess flow‐dependent skill European Centre for Medium‐range Weather Forecast (ECMWF) ensemble predictions at late medium‐range. The flow patterns leading more or less accurate are identified and variations in these situations quantified. focus on Euro‐Atlantic sector during extended winter period when atmospheric regime structure most pronounced. Verification results show that, medium range, forecasts initiated negative phase North...
Abstract Data-driven modeling based on machine learning (ML) is showing enormous potential for weather forecasting. Rapid progress has been made with impressive results some applications. The uptake of ML methods could be a game changer the incremental in traditional numerical prediction (NWP) known as “quiet revolution” computational cost running forecast standard NWP systems greatly hinders improvements that can by increasing model resolution and ensemble sizes. An emerging new generation...
Data-driven modeling based on machine learning (ML) is showing enormous potential for weather forecasting. Rapid progress has been made with impressive results some applications. The uptake of ML methods could be a game-changer the incremental in traditional numerical prediction (NWP) known as 'quiet revolution' computational cost running forecast standard NWP systems greatly hinders improvements that can from increasing model resolution and ensemble sizes. An emerging new generation models,...
Abstract The accuracy of deterministic and probabilistic forecasts storms in the Adriatic Sea that lead to flooding Venice is discussed. We consider ECMWF state‐of‐the‐art high‐resolution single lower‐resolution ensemble‐based meteorological sea states (waves) for five affected between 1966 2008. Notwithstanding complicated local orographic situation, it shown single, provide accurate information up 3–4 days advance. This range further extended 4 6 if ensemble‐based, are considered....
Abstract N‐Protected β‐propargylamino acrylic esters with a push‐pull olefinic bond afforded good to high yields of dihydropyridines upon treatment 5% tris(2‐furyl)phosphine‐gold(I) chloride/silver(I) tetrafluoroborate [(TFP)AuCl/AgBF 4 ] in anhydrous benzene. Carbamate and sulfonyl groups were employed for nitrogen protection. On model enyne, the p ‐methoxybenzenesulfonyl (MBS) group was found be better protective than tosyl terms cyclization yield, also yield elimination corresponding...
The model’s mean orography acts as the boundary condition for model dynamics and drag from resolved orographic gravity waves can have a significant impact on large-scale atmospheric circulation in weather climate models. As we approach km-scale horizontal resolutions global models, more of spectrum becomes resolved. Benefits increased resolution, example better prediction rain, only be harvested if resolution field is also increased. However, even at kilometre scale, some variance...