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

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).

本归档包含Zhang等人发表于《地球物理研究通讯》（Geophysical Research Letters，简称GRL）的论文《基于压缩感知（compressed sensing）的稀疏径流与浓度时间序列重构》所使用的数据集，该论文已正式刊发，可通过https://doi.org/10.1029/2022GL101177获取。本数据集包含两个目录：其一为2015-2021年间多个监测测站的日尺度径流与水质数据，其二为2015-2021年间单个监测测站的15分钟尺度径流与水质数据。数据集涵盖的变量包括径流、水温、比电导率、浊度、溶解氧、硝酸盐浓度及磷浓度。日尺度数据中，不同变量对应的监测测站数量存在差异。所有数据均取自美国地质调查局（United States Geological Survey，简称USGS）国家水信息系统（National Water Information System，简称NWIS），其官方网址为https://waterdata.usgs.gov/nwis。