MODelling vegetation response to EXTREMe Events

The continuous supply of services provided by agricultural systems is increasingly threatened by climate change in association with an estimated increase in the frequency of extreme weather events such as droughts, heat waves or heavy precipitation events. MODEXTREME ( has the overarching goal to help the European and non-European agriculture face extreme climatic events by improving the capability of biophysical models simulating vegetation responses to integrate climatic variability and extremes.

CAAS - Chinese Academy of Agricultural Sciences (China)
CRA - Consiglio per la Ricerca e la Sperimentazione in Agricoltura (Italy)
DMI - Danmarks Meteorologiske Institut (Denmark)
DUTH - Democritus University of Thrace (Greece)
EMBRAPA - Empresa Brasileira de Pesquisa Agropecuaria (Brazil)
FAO - Food and Agriculture Organization of the United Nations
INRA - Institut National de la Recherche Agronomique (France)
INTA - Instituto Nacional de Tecnologia Agropecuaria (Argentina)
ISA - Instituto Superior de Agronomia (Portugal)
UCO - Universidad de Cordoba (Spain)
UEA - University of East Anglia (UK)
UHMI - Ukrainian Scientific Research Hydrometeorological Institute (Ukraine)
UP - University of Pretoria (South Africa)
WBF-Agroscope (Switzerland)
WSU - Washington State University (USA)

2018 - Ecological Modelling, 368, 1-14.
Sensitivity of WOFOST-based modelling solutions to crop parameters under climate change.
Gilardelli, C., Confalonieri, R., Cappelli, G., Bellocchi, G.

2017 - European Journal of Agronomy, 89, 97-106
Improving cereal yield forecast in Europe - the impact of weather extremes.
Pagani, V., Guarneri, T., Fumagalli, D., Movedi, E., Testi, L., Klein, T., Calanca, P., Villalobos, F., Lopez-Bernal, A., Niemeyer, S., Bellocchi, G., Confalonieri, R.

2016 - Environmental Modelling & Software, 81, 165-173
Uncertainty in crop model predictions: What is the role of users?
Confalonieri, R., Orlando, F., Paleari, L., Stella, T., Gilardelli, C., Movedi, E., Pagani, V., Cappelli, G., ... , Acutis, M.

2016 - Ecological Modelling, 328, 72-77
Quantifying uncertainty in crop model predictions due to the uncertainty in the observations used for calibration.
Confalonieri, R., Bregaglio, S., Acutis, M.

2014 - Ecological Modelling, 286, 1-10
CoSMo: a simple approach for reproducing plant community dynamics using a single instance of generic crop simulators.
Confalonieri, R.