Using ERA-INTERIM for regional crop yield forecasting in Europe

Abstract

Agrometeorological systems for regional crop monitoring and yield forecasting have traditionally relied on weather data derived from weather stations. The observations obtained from weather stations were then interpolated to obtain regular gridded data, used as input in a crop simulation model and aggregated to a regional scale for regional yield forecasting. Such an approach is necessary in order to avoid scaling issues related to non-linear responses of crop models to input data