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Quality Assurance and Quality Control (QA/QC) of Meteorological Time Series Data for Billy Barr, East River, Colorado USA

Creators: Boris FaybishenkoORCID, Roelof VersteegORCID, Gilberto Pastorello, Dipankar Dwivedi, Charuleka VaradharajanORCID, Deb AgarwalORCID
Year: 2021
DOI: 10.15485/1823516
License: CC-BY 4.0
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: 2015-09-30 to 2017-07-17
Bounding box: 38.880°N to 39.034°N, -107.050°W to -106.880°W
Publisher: ESS_DIVE
Tags: QA/QC, R packages, East River Watershed, meteorological data, CATEGORICAL:NONE Air Temperature, Barometric Pressure, Meteorology – weather stations, Precipitation, Relative Humidity, Solar Radiation, Wind Direction, Wind Speed, Alpine & Subalpine Ecology, Hydrology & Watersheds, Snow & Ice, Geology & Tectonics, Weather & Atmospheric Science, Data Science & Modeling, Gunnison Basin, Research Programs

Description

A comprehensive Quality Assurance (QA) and Quality Control (QC) statistical framework consists of three major phases: Phase 1—Preliminary raw data sets exploration, including time formatting and combining datasets of different lengths and different time intervals; Phase 2—QA of the datasets, including detecting and flagging of duplicates, outliers, and extreme values; and Phase 3—the development of time series of a desired frequency, imputation of missing values, visualization and a final statistical summary. The time series data collected at the Billy Barr meteorological station (East River Watershed, Colorado) were analyzed. The developed statistical framework is suitable for both real-time and post-data-collection QA/QC analysis of meteorological datasets.The files that are in this data package include one excel file, converted to CSV format (Billy_Barr_raw_qaqc.csv) that contains the raw meteorological data, i.e., input data used for the QA/QC analysis. The second CSV file (Billy_Barr_1hr.csv) is the QA/QC and flagged meteorological data, i.e., output data from the QA/QC analysis. The last file (QAQC_Billy_Barr_2021-03-22.R) is a script written in R that implements the QA/QC and flagging process. The purpose of the CSV data files included in this package is to provide input and output files implemented in the R script.

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