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EStreams:欧洲河流流量、水文气候和景观变量的综合数据集及目录。

EStreams: An integrated dataset and catalogue of streamflow, hydro-climatic and landscape variables for Europe.

作者信息

do Nascimento Thiago V M, Rudlang Julia, Höge Marvin, van der Ent Ruud, Chappon Máté, Seibert Jan, Hrachowitz Markus, Fenicia Fabrizio

机构信息

Eawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.

Department of Geography, University of Zurich, Zurich, Switzerland.

出版信息

Sci Data. 2024 Aug 13;11(1):879. doi: 10.1038/s41597-024-03706-1.

Abstract

Large-sample hydrology datasets have become increasingly available, contributing to significant scientific advances. However, in Europe, only a few such datasets have been published, capturing only a fraction of the wealth of information from national data providers in terms of available spatial density and temporal extent. We present "EStreams", an extensive dataset of hydro-climatic variables and landscape descriptors and a catalogue of openly available stream records for 17,130 European catchments. Spanning up to 120 years, the dataset includes streamflow indices, catchment-aggregated hydro-climatic signatures and landscape attributes (topography, soils, geology, vegetation and landcover). The catalogue provides detailed descriptions that allow users to directly access streamflow data sources, overcoming challenges related to data redistribution policies, language barriers and varied data portal structures. EStreams also provides Python scripts for data retrieval, aggregation and processing, making it dynamic in contrast to static datasets. This approach enables users to update their data as new records become available. Our goal is to extend current large-sample datasets and further integrate hydro-climatic and landscape data across Europe.

摘要

大型水文数据集越来越容易获取,推动了重大的科学进展。然而,在欧洲,只有少数此类数据集已发布,从可用空间密度和时间范围来看,仅涵盖了国家数据提供者所拥有的丰富信息的一小部分。我们展示了“EStreams”,这是一个包含水文气候变量和景观描述符的广泛数据集,以及一个针对17130个欧洲流域的公开可用溪流记录目录。该数据集跨度长达120年,包括流量指数、流域综合水文气候特征和景观属性(地形、土壤、地质、植被和土地覆盖)。该目录提供了详细描述,使用户能够直接访问流量数据源,克服了与数据重新分发政策、语言障碍和多样的数据门户结构相关的挑战。EStreams还提供了用于数据检索、汇总和处理的Python脚本,与静态数据集相比,使其具有动态性。这种方法使用户能够在新记录可用时更新数据。我们的目标是扩展当前的大型样本数据集,并进一步整合欧洲各地的水文气候和景观数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9004/11322309/fbbd60d365b5/41597_2024_3706_Fig1_HTML.jpg

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