Climate and soil input data aggregation effects in crop models

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.

本数据集包含德国北莱茵-威斯特伐利亚州（North Rhine-Westphalia）区域的插值与聚合型土壤及气候数据。该数据以1、10、25、50及100千米分辨率的网格形式提供。这些数据网格为约1千米分辨率的气候数据与约300米分辨率的土壤栅格数据的空间聚合产物。本数据集的核心用途为作为作物模型的输入数据，因此涵盖了运行作物模型所需的关键土壤与气候变量。此外，该数据集专为分析作物模型中的尺度与分辨率效应（如数据聚合效应）而构建，已被多项研究应用于空间尺度相关研究，涉及不同尺度转换方法、作物种类、作物模型、模型输出变量、生产场景及作物管理等诸多方面。