Tag Archives: climate data

input data aggregation

Crop models are often developed and calibrated at the field scale. Using model input data (climate, soil, management, etc.) of coarser resolution may lead to biased results. These so-called aggregation effects are investigated by the MACSUR scaling group. The relevance of aggregating for instance climate, soil or management is estimated for a range of crops, crop models, production situations and variables (yield, biomass, LAI, soil moisture, evapotranspiration, phenology, NPP, NEE, soil organic carbon, N2O-emmissions, NO3-leaching, etc.). These input data domains are adressed at different stages of MACSUR:

  • phase 1: investigates the impact of using spatially aggregated climate data as input for crop models
  • phase 2: investigate the impact of using spatially aggregated climate and soil data as input for crop models
  • phase 3: investigates the interaction of spatial input data aggregation and management rules

 

Further reading