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Global database of salinity gradient energy potential at river mouths

Journal Article

Title: Global database of salinity gradient energy potential at river mouths
Author:
Álvarez-Silva, O.; Roldan-Carvajal, M.; Arévalo, F.
Publication Date:
Journal:
Data in Brief
Volume:
66
Pages:
112866
Publisher:
Elsevier
Affiliation:
Universidad del Norte (North University), Universidad Nacional de Colombia (National University of Colombia), Purdue University
Technology:
Salinity Gradient
Language:
English

Document Access

Website:
External Link
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Citation

Álvarez-Silva, O.; Roldan-Carvajal, M.; Arévalo, F. (2026). Global database of salinity gradient energy potential at river mouths. Data in Brief, 66, 112866.https://doi.org/10.1016/j.dib.2026.112866
@article{Alvarez-Silva-2026-,
author = {Álvarez-Silva, O and Roldan-Carvajal, M and Arévalo, F},
title = {Global database of salinity gradient energy potential at river mouths},
journal = {Data in Brief},
year = {2026},
month = {jun},
publisher = {Elsevier},
volume = {66},
pages = {112866},
doi = {10.1016/j.dib.2026.112866},
url = {https://www.sciencedirect.com/science/article/pii/S235234092600418X},
keywords = {Salinity Gradient},
}
Export Citation to BibTex
TY - JOUR
TI - Global database of salinity gradient energy potential at river mouths
AU - Álvarez-Silva, O
AU - Roldan-Carvajal, M
AU - Arévalo, F
T2 - Data in Brief
AB - This article presents a global database of salinity gradient energy (SGE) potential at river mouths. The dataset integrates satellite-derived sea surface salinity and temperature with river discharge data to estimate both theoretical and extractable SGE resources worldwide. Two complementary river discharge datasets are used: (i) a global multiannual dataset including 10,848 rivers (N20), and (ii) a curated dataset of 1,078 rivers with monthly discharge variability (ARA24). The database provides spatially distributed estimates of energy density, theoretical potential, and extractable potential, along with key design parameters, including environmental discharge, extraction factor, design flow, and capacity factor. Monthly variability is resolved for systems included in the ARA24 dataset, enabling analysis of seasonal dynamics. All data are provided in structured spreadsheet formats, including global summaries by country, region, and ocean basin. In addition, an interactive visualization tool is included to explore the sensitivity of extractable potential to environmental and operational parameters. This dataset supports global, regional, and site-specific analyses of SGE resources and provides a consistent basis for future techno-economic, environmental, and policy-oriented studies.
DA - 2026/06//
PY - 2026
PB - Elsevier
VL - 66
SP - 112866
UR - https://www.sciencedirect.com/science/article/pii/S235234092600418X
DO - 10.1016/j.dib.2026.112866
LA - English
KW - Salinity Gradient
ER -
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Abstract

This article presents a global database of salinity gradient energy (SGE) potential at river mouths. The dataset integrates satellite-derived sea surface salinity and temperature with river discharge data to estimate both theoretical and extractable SGE resources worldwide. Two complementary river discharge datasets are used: (i) a global multiannual dataset including 10,848 rivers (N20), and (ii) a curated dataset of 1,078 rivers with monthly discharge variability (ARA24). The database provides spatially distributed estimates of energy density, theoretical potential, and extractable potential, along with key design parameters, including environmental discharge, extraction factor, design flow, and capacity factor. Monthly variability is resolved for systems included in the ARA24 dataset, enabling analysis of seasonal dynamics. All data are provided in structured spreadsheet formats, including global summaries by country, region, and ocean basin. In addition, an interactive visualization tool is included to explore the sensitivity of extractable potential to environmental and operational parameters. This dataset supports global, regional, and site-specific analyses of SGE resources and provides a consistent basis for future techno-economic, environmental, and policy-oriented studies.