10.21952/WTR/1545781paf_245_708 BorisFaybishenkoLawrence Berkeley National Laboratorybafaybishenko@lbl.gov https://orcid.org/0000-0003-0085-8499 DaveGochisUniversity Corporation For Atmospheric Research (UCAR)gochis@ucar.eduRoelofVersteegSubsurface Insightsroelof.versteeg@gmail.comhttps://orcid.org/0000-0002-6767-1082 KennethWilliamsLawrence Berkeley National Laboratorykhwilliams@lbl.gov https://orcid.org/0000-0002-3568-1155 U.S. DOE > Office of Science > Biological and Environmental Research (BER) http://dx.doi.org/10.13039/100006206 fundingOrganization BenjaminPotterpenbotter@gmail.comhttps://orcid.org/0000-0002-2933-8449contributor ZarineKakaliaLawrence Berkeley National Laboratoryzarinekakalia@berkeley.edu https://orcid.org/0000-0001-9045-1160 contributor 2021 This dataset includes Quality Assessed and Quality Controlled (QA/QC) meteorological data from the Billy Bar field site in the East River Watershed, Colorado in order to inform watershed hydrobiogeochemical processes. The data includes 1-hour aligned time series of Solar Radiation, Wind Speed, Wind Direction, Air Temperature, Relative Humidity, Barometric Pressure, and Precipitation. For each parameter, the QA flags are given: 1 is for extreme (potential abnormal values), and 0 is for values in the expected range. The Rmarkdown document is a stand-alone file/notebook that preserves the text, code, and code results, as well as formatting contained in the original R script. The Data profiling report is a summary and graphical presentation of the data exploration process for data analysis and model building, so that users could focus on understanding data and extracting insights. The report provides a summary of each variable and does data profiling.QA/QC meteorological data Rmarkdown report East River Watershed Community ObservatoryCATEGORICAL:NONEMeteorology – weather stationsWind SpeedPrecipitationWind DirectionAir TemperatureRelative HumidityBarometric PressureVARIABLE:NONEEARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > SOLAR RADIATIONVARIABLE:GCMD

Manuscript "Challenging Problems of Quality Assurance and Quality Control (QA/QC) of Meteorological Time Series Data" was submitted to Journal "Stochastic Environmental Research and Risk Assessment." Additional metadata on specific locations within the watershed are provided in the following related data package: Varadharajan C ; Kakalia Z ; Banfield J ; Berkelhammer M ; Brodie E ; Christianson D ; Dafflon B ; Carbone M S ; Carroll R ; Chadwick K D ; Christensen J ; Enquist B J ; Fox P ; Henderson M ; Gochis D ; Kueppers L ; Powell T ; Matheus Carnevali P ; Singha K ; Sorensen P ; Tokunaga T ; Versteeg R ; Wilkins M ; Williams K ; Worsham M ; Wu Y ; Agarwal D (2020): Location Identifiers, Metadata, and Map for Field Measurements at the East River Watershed, Colorado, USA. Watershed Function SFA. doi:10.15485/1660962

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. 2015-09-302017-07-17 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 ; Kakalia Z ; Banfield J ; Berkelhammer M ; Brodie E ; Christianson D ; Dafflon B ; Carbone M S ; Carroll R ; Chadwick K D ; Christensen J ; Enquist B J ; Fox P ; Henderson M ; Gochis D ; Kueppers L ; Powell T ; Matheus Carnevali P ; Singha K ; Sorensen P ; Tokunaga T ; Versteeg R ; Wilkins M ; Williams K ; Worsham M ; Wu Y ; Agarwal D (2020): Location Identifiers, Metadata, and Map for Field Measurements at the East River Watershed, Colorado, USA. Watershed Function SFA. doi:10.15485/1660962 -107.05-106.8839.03438.88 BorisFaybishenkoLawrence Berkeley National Laboratorybafaybishenko@lbl.gov https://orcid.org/0000-0003-0085-8499 A detailed description of the QA/QC method is given in manuscript " "Challenging Problems of Quality Assurance and Quality Control (QA/QC) of Meteorological Time Series Data" that was submitted to Journal "Stochastic Environmental Research and Risk Assessment." Susan Hubbard Lawrence Berkeley National Laboratory sshubbard@lbl.gov Principal Investigator DOE:DEAC0205CH11231 (Lawrence Berkeley National Laboratory) QAQC_Billy_Barr_2021-03-22_Rmarkdown.pdf application/pdf Billy Barr_QAQC_Data Profiling Report.pdf application/pdf Billy_Barr_1hr.csv text/csv