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Caravan - A global community dataset for large-sample hydrology

Research datakeyboard_double_arrow_right Dataset 05 May 2022 English Publisher:Zenodo

Authors: Kratzert, Frederik; Nearing, Grey; Addor, Nans; Erickson, Tyler; Gauch, Martin; Gilon, Oren; Gudmundsson, Lukas; +5 Authors

Caravan - A global community dataset for large-sample hydrology

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Abstract

THIS IS A PRE-RELEASE, WHILE THE CARAVAN IS UNDER REVISION. Check out the preprint at: https://eartharxiv.org/repository/view/3345/ Caravan is an open community dataset of meteorological forcing data, catchment attributes, and discharge daat for catchments around the world. Additionally, Caravan provides code to derive meteorological forcing data and catchment attributes from the same data sources in the cloud, making it easy for anyone to extend Caravan to new catchments. The vision of Caravan is to provide the foundation for a truly global open source community resource that will grow over time. Channel Log: 23 May 2022: Version 0.2 - Resolved a bug when renaming the LamaH gauge ids from the LamaH ids to the official gauge ids provided as "govnr" in the LamaH dataset attribute files. 24 May 2022: Version 0.3 - Fixed gaps in forcing data in some "camels" (US) basins.

Related Organizations

University of Exeter
United Kingdom
Google (United States)
United States
ETH Zurich
Switzerland
Google (Israel)
Israel
Johannes Kepler University of Linz
Austria

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Keywords

Rainfall-Runoff Modeling, Streamflow, Hydrology

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8 Research products, page 1 of 1

GRDC-Caravan: extending the original dataset with data from the Global Runoff Data Centre
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Large-scale river network modeling using Graph Neural Networks
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LamaH: Large-sample Data for Hydrology in Central Europe
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GRDC-Caravan: extending the original dataset with data from the Global Runoff Data Centre
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Caravan MultiMet (Part 2, Forecasts): Extending Caravan with Multiple Weather Nowcasts and Forecasts
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Caravan MultiMet (Part 1, Nowcasts): Extending Caravan with Multiple Weather Nowcasts and Forecasts
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LamaH | Large-Sample Data for Hydrology and Environmental Sciences for Central Europe
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LamaH | Large-Sample Data for Hydrology: Big data für die Hydrologie und Umweltwissenschaften
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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	5
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%