Abstract

Abstract. Rivers transport dissolved and solid loads from terrestrial realms to the oceans and between inland reservoirs, representing major mass fluxes on Earth's surface. The composition of river water and sediment provides clues to a plethora of Earth and environmental processes, including weathering, erosion, nutrient and carbon cycling, environmental pollution, reservoir exchange, and tectonic cycles. While there are documented, publicly available databases for riverine dissolved and suspended nutrients, there is no openly accessible, georeferenced database for riverine suspended sediment composition. Here, we present a globally representative set of 2828 suspended and bed sediment compositional measurements from 1683 locations around the globe. This database, named Global River Sediments (GloRiSe) version 1.1, includes major, minor and trace elements, along with mineralogical data, and provides time series for some sites. Each observation is complemented by metadata describing geographic location, sampling date and time, sample treatment, and measurement details, which allows for grouping and selection of observations, as well as for interoperability with external data sources, and improves interpretability. Information on references, unit conversion and references makes the database comprehensible. Notably, the close to globe-spanning extent of this compilation allows the derivation of data-driven, spatially resolved global-scale conclusions about the role of rivers and processes related to them within the Earth system. GloRiSe version 1.1 can be downloaded from Zenodo (https://doi.org/10.5281/zenodo.4485795, Müller et al., 2021) and GitHub (https://github.com/GerritMuller/GloRiSe, last access: 26 May 2021), where updates with adapted version numbers will become available, along with a technical documentation and an example calculation in the form of MATLAB scripts, which calculate the sediment-flux-weighted major element composition of the annual riverine suspended sediment export to the ocean and related uncertainties.

Highlights

  • Rivers are major drivers of material transport, processing and deposition on Earth’s surface (Martin and Meybeck, 1979; Milliman and Farnsworth, 2011; Viers et al, 2009)

  • The sfw mean is strongly influenced by a few large rivers draining areas of high chemical weathering intensities; i.e. Amazon, Ganga–Brahmaputra, Changjiang, Congo, Irrawaddy, Orinoco, Magdalena, Mekong and Godavari together already deliver ∼ 20 % of the global sediment flux, and South-East Asian drainages contribute as much as 60 % of the global sediment budget (Milliman and Farnsworth, 2011)

  • We introduce Global River Sediments (GloRiSe), a quasi-global database on river sediment composition including major, minor and trace elements along with nutrients and mineralogical data

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Summary

Introduction

Rivers are major drivers of material transport, processing and deposition on Earth’s surface (Martin and Meybeck, 1979; Milliman and Farnsworth, 2011; Viers et al, 2009) This makes them important for ecosystem functioning within the respective catchment and in the coastal oceans or lakes they feed (Allan and Castillo, 2007; Meybeck, 1982). Complementary metadata provide a spatio-temporal context and facilitate traceability of each data point, grouping/selection operations within and interoperability of this database, named Global River Sediment (GloRiSe) These data may be used, for example, for (spatial) statistical modelling and model testing, to complement local or regional datasets, to explore and compare time series at different locations, to screen potential for field studies, to assess anthropogenic pollution or to characterize the material transported to the global ocean and freshwater reservoirs. We explain the derivation, harmonization and structure of the database, comment on its extent and limitation, and complement this by an example application, the calculation of the major element composition of the annual riverine suspended sediment export to the ocean

Data collection
Extent and limitations
Possibilities and perspectives
Database and code availability
Findings
Conclusions
Full Text
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