Romera-Romera Daniel, Alba-Sánchez Francisca, Abel-Schaad Daniel, Nieto-Lugilde Diego
Departamento de Botánica, Ecología y Fisiología Vegetal. Universidad de Córdoba, Córdoba, Spain.
Departamento de Botánica. Universidad de Granada, Granada, Spain.
Sci Data. 2025 May 6;12(1):747. doi: 10.1038/s41597-025-05067-9.
Despite the increasing availability of climate data through various databases, obtaining fine temporal and spatial resolution data for past periods remains challenging. Here, we present (i) a toolkit for applying advanced downscaling techniques to coarse-resolution climate datasets within the widely used R programming framework, and (ii) downscaled data for a region recognized as a global biodiversity hotspot. Specifically, this toolkit consists of two R-packages (dsclim and dsclimtools) that were used to downscale seven climate variables for the Western Mediterranean, providing monthly climate data from 22 ka BP to the year 2100 at a spatial resolution of 11 × 11 km. Our aim is to offer open access to a cutting-edge climate dataset for researchers interested in this region and to encourage the reuse of both the dataset and the toolkit, facilitating the creation of similar high-resolution climate products for other regions. Given the ecological importance of this region, we also provide examples of scientific applications, such as spatio-temporal pattern analysis and ecological niche modeling, demonstrating its scientific value.
尽管通过各种数据库可获取的气候数据越来越多，但获取过去时期精细的时空分辨率数据仍然具有挑战性。在此，我们展示了（i）一个用于在广泛使用的R编程框架内将先进的降尺度技术应用于粗分辨率气候数据集的工具包，以及（ii）一个被视为全球生物多样性热点地区的降尺度数据。具体而言，这个工具包由两个R包（dsclim和dsclimtools）组成，用于对西地中海的七个气候变量进行降尺度处理，提供从距今22,000年到2100年的月气候数据，空间分辨率为11×11千米。我们的目标是为对该地区感兴趣的研究人员提供对前沿气候数据集的开放访问，并鼓励对数据集和工具包的重复使用，促进为其他地区创建类似的高分辨率气候产品。鉴于该地区的生态重要性，我们还提供了科学应用的示例，如时空模式分析和生态位建模，展示了其科学价值。
