Data for "Reconstruction of sparse stream flow and concentration time-series through compressed sensing"

Authors:
Kun ZhangE SchwartzWasif Bin MamoonAnthony Parolari
Owners: Kun Zhang
  • Contributions
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Type: Resource
Storage: The size of this resource is 8.5 MB
Created: Sep 12, 2022 at 1:55 p.m.
Last updated: Feb 25, 2023 at 12:05 a.m. (Metadata update)
Published date: Dec 05, 2022 at 7:36 p.m.
DOI: 10.4211/hs.a70e86faebe448128ecb0e208626ba4d
Citation: See how to cite this resource
Sharing Status: Published
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Abstract

This archive includes data used in Zhang et al.'s GRL paper "Reconstruction of sparse stream flow and concentration time-series through compressed sensing", which has been published and is available at https://doi.org/10.1029/2022GL101177. There are two directories that contain 1) daily-scale streamflow and water quality data in multiple gages during 2015-2021, and 2) 15-min-scale stream flow and water quality data in one gage during 2015-2021. The variables include streamflow, temperature, specific conductance, turbidity, dissolved oxygen, nitrate concentration, and phosphorous concentration. The number of gages for different variables varies in the daily-scale data. All the data was retrieved from the USGS National Water Information System (https://waterdata.usgs.gov/nwis)

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
44.6905°
East Longitude
-83.6291°
South Latitude
37.5516°
West Longitude
-95.8459°

Temporal

Start Date: 01/01/2015
End Date: 12/31/2021
Leaflet Map data © OpenStreetMap contributors

Content

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Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Army Corps of Engineers (USACE) Engineer Research and Development Center (ERDC) Novel Technologies to Mitigate Water Contamination for Resilient Infrastructure W9132T2220001

How to Cite

Zhang, K., E. Schwartz, W. B. Mamoon, A. Parolari (2022). Data for "Reconstruction of sparse stream flow and concentration time-series through compressed sensing", HydroShare, https://doi.org/10.4211/hs.a70e86faebe448128ecb0e208626ba4d

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

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

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