University of Oslo, Department of Geosciences, 0315, Oslo, Norway.
Simula Metropolitan Center for Digital Engineering, Department of Holistic Systems, Pilestredet 52, 0167, Oslo, Norway.
Sci Data. 2024 Feb 27;11(1):245. doi: 10.1038/s41597-024-03062-0.
Clouds are important factors when projecting future climate. Unfortunately, future cloud fractional cover (the portion of the sky covered by clouds) is associated with significant uncertainty, making climate projections difficult. In this paper, we present the European Cloud Cover dataset, which can be used to learn statistical relations between cloud cover and other environmental variables, to potentially improve future climate projections. The dataset was created using a novel technique called Area Weighting Regridding Scheme to map satellite observations to cloud fractional cover on the same grid as the other variables in the dataset. Baseline experiments using autoregressive models document that it is possible to use the dataset to predict cloud fractional cover.
云是预测未来气候的重要因素。不幸的是，未来的云量（天空被云覆盖的部分）与显著的不确定性有关，这使得气候预测变得困难。在本文中，我们提出了欧洲云量数据集，它可以用来学习云量与其他环境变量之间的统计关系，以潜在地改善未来的气候预测。该数据集是使用一种名为区域加权重采样方案的新技术创建的，该技术将卫星观测映射到与数据集的其他变量相同网格上的云量。使用自回归模型的基线实验证明，可以使用该数据集来预测云量。
