WP5.5: the JRC contribution SCOPE Use the JRC impact model (namely, crop yield forecasting model) by running firstly with appropriately downscaled ERA-40 data (by WP3.1,WP5.1) and secondly with fully downscaled and bias corrected probabilistic ensemble hindcasts at of seasonal-to-decadal scales. JRC contribution: • Run (with both downscaled data set) the crop yield model on the two main European crops: Wheat , Maize and on EU-25 Countries (according to the data availability) • Analyze and verify the driven by downscaled ERA-40 results with the existing gridded station data set (by JRC) • Comparison of the results driven by downscaled and bias corrected probabilistic ensemble hindcasts with the two previous
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WP5.5: the JRC contribution
SCOPEUse the JRC impact model (namely, crop yield forecasting model) by running firstly with appropriately downscaled ERA-40 data (by WP3.1,WP5.1) and secondly with fully downscaled and bias corrected probabilistic ensemble hindcasts at of seasonal-to-decadal scales.
JRC contribution:• Run (with both downscaled data set) the crop yield model on the two main European crops: Wheat , Maize and on EU-25 Countries (according to the data availability)
• Analyze and verify the driven by downscaled ERA-40 results with the existing gridded station data set (by JRC)
• Comparison of the results driven by downscaled and bias corrected probabilistic ensemble hindcasts with the two previous