CR 44:41-53 (2010)  -  DOI: https://doi.org/10.3354/cr00872

Using ERA-INTERIM for regional crop yield forecasting in Europe

Allard de Wit1,*, Bettina Baruth2, Hendrik Boogaard1, Kees van Diepen1, Daniel van Kraalingen1, Fabio Micale2, Johnny te Roller1, Iwan Supit3, Raymond van den Wijngaart1

1Alterra, Wageningen UR, PO Box 47, 6700 AA Wageningen, The Netherlands
2Joint Research Centre, Institute for the Protection and Security of the Citizen, Monitoring Agricultural Resources Unit (MARS), AGRI4CAST, Italy
3Earth System Science and Climate Change Group, Wageningen UR, PO Box 47, 6700 AA Wageningen, The Netherlands

ABSTRACT: Agrometeorological systems for regional crop yield forecasting have traditionally relied on weather data derived from weather stations for crop simulation and yield prediction. In recent years, numerical weather prediction (NWP) models have become an interesting source of weather data with the potential to replace observed weather data. This is a result of the steadily decreasing NWP grid sizes and the availability of long and consistent time-series through the so-called reanalysis projects. We evaluated the ERA-INTERIM reanalysis data set from the European Centre for Medium-range Weather Forecasting for regional crop yield forecasting. Crop simulations were carried out using 2 identical model implementations: one using interpolated observed weather, the other using weather data derived from ERA-INTERIM. Output for both sources of weather variables was generated for the EU27 and neighbouring countries and 14 crops, aggregated to national level and validated using reported crop yields from the European Statistical Office. The results indicate that the system performs very similar in terms of crop yield forecasting skill for both sources of weather variables. In 38% of the crop–country combinations, the forecasting error can be reduced by more than 10% of the baseline forecast (the trend only) for both sources of weather variables. In almost 20% of the crop–country combinations, the forecasting error can be reduced by more than 25% of the baseline forecast. The results demonstrate that the ERA-INTERIM data set is highly suitable for regional crop yield forecasting over Europe and may be used for implementing regional crop forecasting over data-sparse regions. Finally, we conclude that there is a need to improve the crop calendar and/or calibration for some of the modelled crops.


KEY WORDS: Crop simulation models · Crop yield · Regional scale · ERA-INTERIM · Europe


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Cite this article as: de Wit A, Baruth B, Boogaard H, van Diepen K and others (2010) Using ERA-INTERIM for regional crop yield forecasting in Europe. Clim Res 44:41-53. https://doi.org/10.3354/cr00872

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