QA/QC-ed BCI meteorological drivers

Faybishenko, Boris; Paton, Steve; Powell, Thomas; Knox, Ryan; Pastorello, Gilberto; Varadharajan, Charuleka; Christianson, Danielle; Agarwal, Deb

doi:10.15486/ngt/1423307

Title: QA/QC-ed BCI meteorological drivers

Dataset
Other Related Research

Abstract

Time series raw datasets of Temperature, Solar Radiation, Relative Humidity, Rainfall, Barometric Pressure, Wind Speed, and Wind Direction for the Barro Colorado (PA-BCI) site for the period from 2003-01-01 to 2016-12-31 were downloaded from the STRI website. The QA/QC protocol of raw datasets included the detection and removal of NAs, outliers and bad data points, imputation of missing data, and creation of the time series with equidistant time stamps. The time series for different meteorological parameters were aligned into a single database to be used for modeling. Statistical QA/QC analysis was performed using a series of R libraries in Rstudio. The changes in the dataset were flagged. The file BCI_met_drivers_2003-2016_QAQC_summary_report.docx provides the details of the QA/QC data analysis.

Authors:

Faybishenko, Boris; Paton, Steve; Powell, Thomas; Knox, Ryan; Pastorello, Gilberto; Varadharajan, Charuleka; Christianson, Danielle; Agarwal, Deb

Lawrence Berkeley National Laboratory
Smithsonian Tropical Research Institution
Berkeley Lab

Publication Date:: Mon Jan 01 00:00:00 EST 2018

Other Number(s):: NGT0062

DOE Contract Number:: DE-AC02-05CH11231

Research Org.:: Next-Generation Ecosystem Experiments Tropics; STRI; Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Org.:: Department of Energy, Office of Science, Office of Biological and Environmental Research

Subject:: 54 ENVIRONMENTAL SCIENCES

OSTI Identifier:: 1423307

DOI:: https://doi.org/10.15486/ngt/1423307

Citation Formats


                    Faybishenko, Boris, Paton, Steve, Powell, Thomas, Knox, Ryan, Pastorello, Gilberto, Varadharajan, Charuleka, Christianson, Danielle, and Agarwal, Deb. QA/QC-ed BCI meteorological drivers.  United States: N. p., 2018. 
        Web.  doi:10.15486/ngt/1423307.

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                    Faybishenko, Boris, Paton, Steve, Powell, Thomas, Knox, Ryan, Pastorello, Gilberto, Varadharajan, Charuleka, Christianson, Danielle, & Agarwal, Deb. QA/QC-ed BCI meteorological drivers.  United States.  doi:https://doi.org/10.15486/ngt/1423307

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                    Faybishenko, Boris, Paton, Steve, Powell, Thomas, Knox, Ryan, Pastorello, Gilberto, Varadharajan, Charuleka, Christianson, Danielle, and Agarwal, Deb. 2018.  
"QA/QC-ed BCI meteorological drivers".  United States.  doi:https://doi.org/10.15486/ngt/1423307.  https://www.osti.gov/servlets/purl/1423307. Pub date:Mon Jan 01 00:00:00 EST 2018

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@article{osti_1423307,

  title        = {QA/QC-ed BCI meteorological drivers},

  author       = {Faybishenko, Boris and Paton, Steve and Powell, Thomas and Knox, Ryan and Pastorello, Gilberto and Varadharajan, Charuleka and Christianson, Danielle and Agarwal, Deb},

  abstractNote = {Time series raw datasets of Temperature, Solar Radiation, Relative Humidity, Rainfall, Barometric Pressure, Wind Speed, and Wind Direction for the Barro Colorado (PA-BCI) site for the period from 2003-01-01 to 2016-12-31 were downloaded from the STRI website. The QA/QC protocol of raw datasets included the detection and removal of NAs, outliers and bad data points, imputation of missing data, and creation of the time series with equidistant time stamps. The time series for different meteorological parameters were aligned into a single database to be used for modeling. Statistical QA/QC analysis was performed using a series of R libraries in Rstudio. The changes in the dataset were flagged. The file BCI_met_drivers_2003-2016_QAQC_summary_report.docx provides the details of the QA/QC data analysis.},

  doi          = {10.15486/ngt/1423307},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Jan 01 00:00:00 EST 2018},

  month        = {Mon Jan 01 00:00:00 EST 2018}

}

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DOI: https://doi.org/10.15486/ngt/1423307

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