Mainstem Rivers of the World based on MERIT hydrography and Natural Earth names
Dates
Publication Date
2022-06-22
Time Period
2022-05-11
Citation
Blodgett, D.L., 2022, Mainstem rivers of the world based on MERIT hydrography and natural Earth names: U.S. Geological Survey data release, https://doi.org/10.5066/P9O15C70.
Summary
Mainstem rivers are the backbone of a connected network of hydrologic units that cover the landscape. A mainstem connects a headwater source area to an outlet. This data release identifies the same mainstem paths in hydrographic datasets for the world based on the MERIT hydrography and the Natural Earth river names. Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. See "Blodgett et al., 2021, Mainstems: A logical data model implementing mainstem and drainage basin feature types based on WaterML2 Part 3: HY Features concepts https://doi.org/10.1016/j.envsoft.2020.104927" for mainstems data model details.
Summary
Mainstem rivers are the backbone of a connected network of hydrologic units that cover the landscape. A mainstem connects a headwater source area to an outlet. This data release identifies the same mainstem paths in hydrographic datasets for the world based on the MERIT hydrography and the Natural Earth river names.
Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com.
See "Blodgett et al., 2021, Mainstems: A logical data model implementing mainstem and drainage basin feature types based on WaterML2 Part 3: HY Features concepts https://doi.org/10.1016/j.envsoft.2020.104927" for mainstems data model details.
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merit_plus.xml Original FGDC Metadata
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Related External Resources
Type: Related Primary Publication
Blodgett, D., Johnson, J.M., Sondheim, M., Wieczorek, M., and Frazier, N., 2021, Mainstems: A logical data model implementing mainstem and drainage basin feature types based on WaterML2 Part 3: HY Features concepts: Environmental Modelling & Software, v. 135, p. 104927, https://doi.org/10.1016/j.envsoft.2020.104927.
These data were prepared for the global river runner data visualization. https://river-runner-global.samlearner.com/
Rights
These data are made available according to the https://creativecommons.org/licenses/by-nc-sa/4.0/ license as required by the source datasets. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.
