This thesis aims to create large-scale calculations of agro-climatic factors from global climatic data with high granularity. I use freely available climatic data ERA5-Land from the Copernicus Climate Change Service as input climatic data. I describe related calculations and visualizations of agro-climatic factors. I delineate the created procedures, algorithms, and visualizations for the Pilsen region. Created agro-climatic factors are frost dates, frost-free periods, growing degree units, heat stress units, number of growing days, number of optimal growing days, dates of fall nitrogen application, precipitation, evapotranspiration, and runoff sums, water balance - changes in storage or differences between precipitation and evapotranspiration. Procedures are useable anywhere else in the world, especially in temperate and subtropical zones.
Annotation in English
This thesis aims to create large-scale calculations of agro-climatic factors from global climatic data with high granularity. I use freely available climatic data ERA5-Land from the Copernicus Climate Change Service as input climatic data. I describe related calculations and visualizations of agro-climatic factors. I delineate the created procedures, algorithms, and visualizations for the Pilsen region. Created agro-climatic factors are frost dates, frost-free periods, growing degree units, heat stress units, number of growing days, number of optimal growing days, dates of fall nitrogen application, precipitation, evapotranspiration, and runoff sums, water balance - changes in storage or differences between precipitation and evapotranspiration. Procedures are useable anywhere else in the world, especially in temperate and subtropical zones.
This thesis aims to create large-scale calculations of agro-climatic factors from global climatic data with high granularity. I use freely available climatic data ERA5-Land from the Copernicus Climate Change Service as input climatic data. I describe related calculations and visualizations of agro-climatic factors. I delineate the created procedures, algorithms, and visualizations for the Pilsen region. Created agro-climatic factors are frost dates, frost-free periods, growing degree units, heat stress units, number of growing days, number of optimal growing days, dates of fall nitrogen application, precipitation, evapotranspiration, and runoff sums, water balance - changes in storage or differences between precipitation and evapotranspiration. Procedures are useable anywhere else in the world, especially in temperate and subtropical zones.
Annotation in English
This thesis aims to create large-scale calculations of agro-climatic factors from global climatic data with high granularity. I use freely available climatic data ERA5-Land from the Copernicus Climate Change Service as input climatic data. I describe related calculations and visualizations of agro-climatic factors. I delineate the created procedures, algorithms, and visualizations for the Pilsen region. Created agro-climatic factors are frost dates, frost-free periods, growing degree units, heat stress units, number of growing days, number of optimal growing days, dates of fall nitrogen application, precipitation, evapotranspiration, and runoff sums, water balance - changes in storage or differences between precipitation and evapotranspiration. Procedures are useable anywhere else in the world, especially in temperate and subtropical zones.
Provedení rešerše dostupných způsobů výpočtu a kartografického znázornění agro-klimatických faktorů.
Výpočet agro-klimatických faktorů pro území Plzeňského kraje.
Kartografické vyjádření agro-klimatických faktorů formou agro-klimatických a agro-ekologických zón.
Popis potenciálu využití agro-klimatických zón pro modelování růstu plodin.
Research Plan
Provedení rešerše dostupných způsobů výpočtu a kartografického znázornění agro-klimatických faktorů.
Výpočet agro-klimatických faktorů pro území Plzeňského kraje.
Kartografické vyjádření agro-klimatických faktorů formou agro-klimatických a agro-ekologických zón.
Popis potenciálu využití agro-klimatických zón pro modelování růstu plodin.
Recommended resources
Hollinger, S.E. and Angel, J.R., 2009. Weather and crops. Illinois agronomy handbook, pp.1-12.
Fischer, G., van Velthuizen, H.T. and Nachtergaele, F.O., 2000. Global agro-ecological zones assessment: methodology and results.
Trnka, M., Olesen, J.E., Kersebaum, K.C., Skjelvag, A.O., Eitzinger, J., Seguin, B., PELTONEN-SAINIO, P., Rotter, R., Iglesias, A.N.A., Orlandini, S. and Dubrovský, M., 2011. Agroclimatic conditions in Europe under climate change. Global Change Biology, 17(7), pp.2298-2318.
Baier W., 1976. Agroclimatic Atlas Of Canada.
Zhao, G., Siebert, S., Enders, A., Rezaei, E.E., Yan, C. and Ewert, F., 2015. Demand for multi-scale weather data for regional crop modeling. Agricultural and forest meteorology, 200, pp.156-171.
Fischer, G., Nachtergaele, F.O., Prieler, S., Teixeira, E., Tóth, G., Van Velthuizen, H., Verelst, L. and Wiberg, D., 2012. Global Agro-ecological Zones (GAEZ v3. 0)-Model Documentation.
Van Wart, J., van Bussel, L.G., Wolf, J., Licker, R., Grassini, P., Nelson, A., Boogaard, H., Gerber, J., Mueller, N.D., Claessens, L. and van Ittersum, M.K., 2013. Use of agro-climatic zones to upscale simulated crop yield potential. Field crops research, 143, pp.44-55.
Murthy, V.R.K., 2004. Crop growth modeling and its applications in agricultural meteorology. Satellite remote sensing and GIS applications in agricultural meteorology, 235.
Van Wart, J., Grassini, P., Yang, H., Claessens, L., Jarvis, A. and Cassman, K.G., 2015. Creating long-term weather data from thin air for crop simulation modeling. Agricultural and Forest Meteorology, 209, pp.49-58.
Recommended resources
Hollinger, S.E. and Angel, J.R., 2009. Weather and crops. Illinois agronomy handbook, pp.1-12.
Fischer, G., van Velthuizen, H.T. and Nachtergaele, F.O., 2000. Global agro-ecological zones assessment: methodology and results.
Trnka, M., Olesen, J.E., Kersebaum, K.C., Skjelvag, A.O., Eitzinger, J., Seguin, B., PELTONEN-SAINIO, P., Rotter, R., Iglesias, A.N.A., Orlandini, S. and Dubrovský, M., 2011. Agroclimatic conditions in Europe under climate change. Global Change Biology, 17(7), pp.2298-2318.
Baier W., 1976. Agroclimatic Atlas Of Canada.
Zhao, G., Siebert, S., Enders, A., Rezaei, E.E., Yan, C. and Ewert, F., 2015. Demand for multi-scale weather data for regional crop modeling. Agricultural and forest meteorology, 200, pp.156-171.
Fischer, G., Nachtergaele, F.O., Prieler, S., Teixeira, E., Tóth, G., Van Velthuizen, H., Verelst, L. and Wiberg, D., 2012. Global Agro-ecological Zones (GAEZ v3. 0)-Model Documentation.
Van Wart, J., van Bussel, L.G., Wolf, J., Licker, R., Grassini, P., Nelson, A., Boogaard, H., Gerber, J., Mueller, N.D., Claessens, L. and van Ittersum, M.K., 2013. Use of agro-climatic zones to upscale simulated crop yield potential. Field crops research, 143, pp.44-55.
Murthy, V.R.K., 2004. Crop growth modeling and its applications in agricultural meteorology. Satellite remote sensing and GIS applications in agricultural meteorology, 235.
Van Wart, J., Grassini, P., Yang, H., Claessens, L., Jarvis, A. and Cassman, K.G., 2015. Creating long-term weather data from thin air for crop simulation modeling. Agricultural and Forest Meteorology, 209, pp.49-58.