Climate and soil input data aggregation effects in crop models

doi: 10.4121/db30b64d-8964-4522-8bc9-d3a7ac0c9834.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/db30b64d-8964-4522-8bc9-d3a7ac0c9834
Datacite citation style:
Enders, Andreas; Hoffmann, Holger; Siebert, Stefan; Gaiser, Thomas; Ewert, Frank (2023): Climate and soil input data aggregation effects in crop models. Version 1. 4TU.ResearchData. dataset.
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

This dataset contains interpolated and aggregated soil and climate data of the region of North Rhine-Westphalia (Germany). The data is provided for grids of 1, 10, 25, 50 and 100 km resolutions. These data grids represent spatial aggregations of the climate of approximately 1 km resolution and soil data of approximately 300 m resolution raster. The purpose of this data is the use as input for crop models. It thus contains the key relevant soil and climate variables for running crop models. Additionally, the data is specifically designed to analyze effects of scale and resolution in crop models, e.g. data aggregation effects. It has been used for several studies on spatial scales with regard to different scaling approaches, crops, crop models, model output variables, production situations and crop management among others.

  • 2023-07-27 first online, published, posted
  • German Bundesministerium für Bildung und Forschung (BMBF)
Crop Science Group, Institute of Crop Science and Resource Conservation (INRES), University of Bonn


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