EStreams: Building an integrated dataset of streamflow, hydro-climatic variables and landscape attributes for catchments in Europe
Authors: M. do Nascimento Thiago V. , Rudlang Julia , Höge Marvin , van der Ent Ruud , Seibert Jan , Hrachowitz Markus , Fenicia Fabrizio 
Published: March 2024

High-quality datasets are essential to hydrological analysis&#8203;1&#8203;. Although many such datasets exist, their accessibility is typically time-consuming and often challenging. Recently, there has been a significant spread of large-sample hydrology (LSH) datasets. Many of these datasets are referred to as&#8239;Catchment Attributes and MEteorology for Large-sample Studies (CAMELS) or derivations1&#8211;4, covering hydro-climatic and landscape static attributes and time series data. These data have collectively been made available5 including first extensionsbased on daily time series such as the Global Runoff Data Base&#8239;(https://www.bafg.de/GRDC)6. Additionally, there have been collection efforts for global streamflow data indices and signatures7&#8211;9. However, such globally accessible dataset represent only a small fraction of what is currently available.&#160;
Here we present EStreams, a new dataset and data-access catalogue of streamflow, hydro-climatic &#160;variables and landscape descriptors for over 15,000 catchments in 39 European countries, set&#160;to be released in 2024. The data spans up to 100 years of streamflow data and includes several open-source catchment aggregated landscape attributes on topography, soil, lithology, vegetation, and land cover, as well as climatic forcing and streamflow time-series, hydro-climatic signatures and a catalogue of streamflow providers (&#8220;European streamflow data and where to find them&#8221;). EStreams offers both an extensive and extensible data collection along with codes for data retrieval, aggregation and processing. Our goal is to extend current large-sample datasets and take a step towards integrating hydro-climatic and landscape data across Europe.
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