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QA/QC-ed Groundwater Level Time Series in PLM-1 and PLM-6 Monitoring Wells, East River, Colorado

Creators: Faybishenko, BORCID, Versteeg, RORCID
Year: 2022
DOI: 10.15485/1866836
Location: The East River (ER) is a snow‐dominated, headwater basin of the Upper Colorado River Basin (UCRB) located in the western United States. The ER is the designated testbed of Lawrence Berkeley National Laboratory's Watershed Function Scientific Focus Area (WFSFA). Through WFSFA, observational networks have been established to measure stream discharge and precipitation chemistry. The ER is considered representative of many snow‐dominated headwaters of the Rocky Mountains. The study domain encompasses nearly 85 square km, a 1.4‐km vertical drop in elevation (4,120 to 2,760 m) and pristine alpine, subalpine, montane, and riparian ecosystems. The ER contains high‐energy mountain streams to low‐energy meandering floodplains and is eroding primarily into the Cretaceous, carbon‐rich, marine shale of the Mancos Formation. Additional metadata on specific locations within the watershed are provided in the following related data package: Varadharajan C. et al. (2020) doi:10.15485/1660962
Temporal extent: 2016-11-30 to 2020-09-22
Bounding box: 38.880°N to 39.034°N, 106.880°W to 107.050°W
Publisher: RMBL
Tags: groundwater, PLM monitoring wells, QA/QC flagging, Quality Assurance/Quality Control, Groundwater level, Quality Assurance/Quality Control flagging, Regular time series, CATEGORICAL:NONE Groundwater Level, Alpine & Subalpine Ecology, Hydrology & Watersheds, Snow & Ice, Groundwater, Geology & Tectonics, Weather & Atmospheric Science, Data Science & Modeling, Gunnison Basin, Research Programs

Description

Performed Quality Assurance and Quality Control (QA/QC) analysis of measured groundwater levels in monitoring wells PLM-1 and PLM-6, including identification and flagging of duplicated values of timestamps, gap filling of missing timestamps and water levels, removal of abnormal/bad and outliers of measured water levels. The purpose of the QA/QC analysis was to test the application of different QA/QC methods and the development of regular (1-hour and 1-day) time series datasets, which can be served as benchmark for testing other QA/QC techniques, and will be applicable for ecohydrological modeling. The package includes a Readme file, two R Markdown html files, a series of 8 csv files: two input files of irregular measured groundwater levels, two output files with QA/QC flagging of original data, and four QA/QC-ed regular time series datasets.

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