README.md

In ec-jrc/Clisagri: Agroclimatic indicators for assessment of (un)favourable weather conditions during crop growing season.

Clisagri is based on a set of dynamic agro-climatic indicators that bring key information to crop producers during different stages of the crop growth. A dynamic approach has been implemented to assess the risks associated with climate extremes occurring during sensitive crop phenological stages by integrating dedicated agro-climate risk indicators with a dynamic model to predict crop phenology. Clisagri quantifies the occurrence of different climatic extremes such as drought, excessive wetness, heat stress and cold stress during sensitive crop growth stages. These sensitive phases generally occur in different periods every year as a consequence of inter-annual climate variability and Clisagri offers an effective way to dynamically take this variability into account.

Furthermore, Clisagri is designed to test a complete range of possible crop varieties, and an optimization algorithm based on genetic algorithm has been implemented to select the variety that is 'the most fit' for given climatic conditions.

This package was supported and has received funding from the European Union's Horizon 2020 Research and Innovation programme under Grant agreement No. 776467 (MED-GOLD).

References: Ceglar, A., Toreti, A., Zampieri, M., Manstretta, V., Betatti, T., Bratu, M.: Clisagri: An R package for agro-climate services. Climate Services, 20, 100197

Ceglar, A., et al., 2019. Improving WOFOST model to simulate winter wheat phenology in Europe: Evaluation and effects on yield. Agricultural Systems, 168, 168-180

Ceglar, A., Toreti, A., 2021. Seasonal climate forecast can inform the European agricultural sector well in advance of harvesting. npj Climate and Atmospheric Science 4, 42

ec-jrc/Clisagri documentation built on Dec. 20, 2021, 3:13 a.m.