28 research outputs found
Consequences of climate change for the soil climate in Central Europe and the central plains of the United States
Stochastické modelování meteorologických časových řad: využití pro studium dopadu klimatických změn na zemědělství
PERUN - the System for the Crop Yield Forecasting
PERUN 1.0 is the Windows-based system for probabilistic crop yield forecasting. It is based on crop growth model WOFOST. The weather series is prepared by a stochastic weather generator Met&Roll with parameters that are derived from the observed series
Simulations of maize yields using dynamical crop growth models for selected climate change scenarios
Simulace extrémních teplotních jevů globálními cirkulačními modely, statistickým downscalingem a stochastickým generátorem
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The binary decision tree: The growing algorithm and application to thunderstorm forecasting
Drought - present and future meteorological hazard.
Drought belongs to the climate extremes, which influence many branches of human activities. Selected methods of drought description and their application are reviewed in this contribution. Palmer drought severity index (PDSI) and Palmer Z-index were modified to construct spatial drought climatology for individual regions (e.g. whole territory of Czech Republic). Newhall model was used for the estimation of the soil moisture regime. Based on plausible climate change scenarios, possible projections of future drought and soil moisture regime development are presented.(In Czech, English summary only