Record Details

Climate and soil input data aggregation effects in crop models

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

View Archive Info
 
 
Field Value
 
Title Climate and soil input data aggregation effects in crop models
 
Identifier https://doi.org/10.7910/DVN/C0J5BB
 
Creator Hoffmann, Holger
Enders, Andreas
Siebert, Stefan
Gaiser, Thomas
Ewert, Frank
 
Publisher Harvard Dataverse
 
Description 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.
 
Subject N/A
Agriculture
Land Use
Crop Modelling
Aggregation effects
climate
crop simulation
input data
model comparison
soil, scaling
soil and climate data
 
Contributor Janssen, Sander
Gang Zhao, Crop Science, University of Bonn
 
Type Data Set