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Digital Hydroconnectivity of Reservoirs and Streamgages across the coterminous United States using RICON algorithm


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Type: Resource
Storage: The size of this resource is 2.5 GB
Created: Jan 21, 2022 at 1:56 a.m.
Last updated: Jan 24, 2022 at 7:40 a.m.
DOI: 10.4211/hs.d31bf19dbd5042b5960e374e9c9b2e94
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Sharing Status: Published
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Abstract

This dataset presents the digital hydroconnectivity between streamgages and reservoirs as a concise edge list for the coterminous United States (CONUS) using the River and Infrastructure Connectivity Network (RICON) algorithm. The dependency between streamgages and reservoirs across CONUS provides (1) a complete list of edges for the unidirectional network connecting streamgages, reservoirs, and NHDPlusflowline features across different watershed regions, and (2) attributes of all nodes (reservoirs and streamgages), including their geospatial locations, unique identifiers, immediately upstream and downstream nodes, etc. The CONUS RICON data archive available at Hydroshare contains the dataset tables in comma-separated values (CSV) format. The combined information of all nodes and NHDflowline information are provided as ".rds" files, NHDPlusv2 attributes used for each drainage are provided in ".RData" format. For each drainage area, final output hydroconnectivity presented as individual edge lists are saved as 'Edge_List.csv' in each subfolder. All the codes for data development and additional vignettes are available on Github.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Coterminous United States
North Latitude
49.4243°
East Longitude
-63.4801°
South Latitude
25.0643°
West Longitude
-128.1676°

Content

Related Resources

This resource is referenced by Mukhopadhyay, S. & Sankarasubramanian, A. (2020) River and Infrastructure Connectivity Network (RICON). figshare https://doi.org/10.6084/m9.figshare.11849157.v6
The content of this resource is derived from McKay, L. et al. NHDPlus Version 2: user guide. National Operational Hydrologic Remote Sensing Center, Washington, DC (2012).
The content of this resource is derived from Mukhopadhyay, S., Sankarasubramanian, A. & Awasthi, C. (2020) Developing the hydrological dependency structure between streamgage and reservoir networks. Sci Data 7, 319. https://doi.org/10.1038/s41597-020-00660-6
The content of this resource is derived from Mukhopadhyay, S. & Sankarasubramanian, A. (2020) River and Infrastructure Connectivity Network (RICON). figshare https://doi.org/10.6084/m9.figshare.11849157.v5

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
CUAHSI with support from the National Science Foundation (NSF) Hydroinformatics Innovation Fellowship 2021-22 NSF Award Number: 1849458

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Sankar Arumugam North Carolina State University

How to Cite

Mukhopadhyay, S. (2022). Digital Hydroconnectivity of Reservoirs and Streamgages across the coterminous United States using RICON algorithm, HydroShare, https://doi.org/10.4211/hs.d31bf19dbd5042b5960e374e9c9b2e94

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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