Calculation of Agro-Climatic Factors from Global Climatic Data

This manuscript aims to create large-scale calculations of agro-climatic factors from global climatic data with high granularity-climatic ERA5-Land dataset the Copernicus Climate Change Service in particular. First, we analyze existing approaches used for factor calculation and formulate a frame our calculations. Then describe design methods visualization certain factors. We then run two case studies. Firstly, study Kojčice validates uncertainty input by in-situ sensors. Then, Pilsen region presents calculated representative point area visualizes their time-variability graphs. Maps represent spatial distribution chosen region. The are frost dates, frost-free periods, growing degree units, heat stress number days, optimal dates fall nitrogen application, precipitation, evapotranspiration, runoff sums together as water balance solar radiation. algorithms usable anywhere world, especially temperate subtropical zones.