GDBM: A database of global drainage basin morphology

Grieve, Stuart W. D., Chen, Shiuan-An, Singer, Michael B. ORCID: https://orcid.org/0000-0002-6899-2224 and Michaelides, Katerina 2025. GDBM: A database of global drainage basin morphology. PLoS ONE 20 (4) , e0320771. 10.1371/journal.pone.0320771

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Abstract

Rivers and their drainage basins are fundamental landscape units, and their morphology is a record of the cascade of geologic, tectonic, biological, and climatic processes acting upon them. Quantifying this cascade depends on morphometric measurements of rivers and drainage basins, and comparison of these measurements across diverse landscape settings. Here we present a new near-Global dataset of Drainage Basin Morphology, GDBM, which provides morphometric measurements of 254,966 basins and the longest river channel within them. This dataset is created by extracting channels from the 30-meter resolution Shuttle Radar Topography Mission (SRTM) topographic data which fall within Köppen-Geiger climate zones, to allow the influence of climate on river and basin morphology to be quantified. GDBM contains measurements of channel length, slope, relief, normalised concavity, basin area, basin shape and aridity. These data have been generated with minimal assumptions, focusing on identifying and classifying channels with high confidence, through the use of a conservative drainage area threshold. GDBM provides opportunities for rapid spatial analysis of channel morphology at a near-global scale and has the potential to yield continuing insight into landscape evolution across diverse climate regimes. This dataset also has potential applications across a range of Earth and environmental science domains, through the integration of additional data on, for example, forest canopy height, landcover, or soil properties to explore the spatial variability of channel and basin properties with climate.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Earth and Environmental Sciences
Publisher:	Public Library of Science
ISSN:	1932-6203
Date of First Compliant Deposit:	21 March 2025
Date of Acceptance:	25 February 2025
Last Modified:	16 Apr 2025 09:45
URI:	https://orca.cardiff.ac.uk/id/eprint/177045

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