CARVE atmospheric gas concentrations, tower based, Alaska, 2012-2015

Miller, J.B.; Sweeney, C.; Karion, A.; Miller, C.E.

This data set provides atmospheric methane (CH4), carbon dioxide (CO2), and carbon monoxide (CO) dry air mole fractions and water vapor mole fractions (H2O) from continuous in situ measurements at the CARVE flux tower in Fox, Alaska between October 2011 and May 2015 for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). Air was drawn from three different heights above the base of the tower (31.7 m, 17.1 m, and 4.9 m) and analyzed using a Picarro cavity ring-down spectrometer (CRDS). Measurements of ambient and sonic temperature, vertical and horizontal velocity, and atmospheric pressure are also included in the data set.

Citation

In order to use these data, you must cite this data set with the following citation:

Miller, J.B., C. Sweeney, A. Karion, and C.E. Miller. 2017. CARVE: L2 Atmospheric CO2, CO, and CH4 Concentrations, CARVE Tower, Alaska, 2011-2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1419

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy.

Contact

ORNL DAAC

Metadata Access

DCAT in RDF/XML-Format

DCAT in Turtle-Format

DCAT in JSON-LD-Format

APGC Dataset Metadata in JSON-Format

Të dhënat dhe burimet

Info shtesë

Fusha Vlera
Identifier DOI: 10.3334/ORNLDAAC/1419
Project(s) CARVE
Institute NOAA Earth System Research Laboratory (ESRL) Global Monitoring Division
Burimi https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1419
Publication Date 2017-01-12
Versioni 1.0
Product Atmospheric CO2, CO, and CH4 Concentrations
Sensor Picarro cavity ring-down spectrometer
Files
  1. carve_GroundISGA_L2_b23_20111231_20160115004906.nc
  2. carve_GroundISGA_L2_b23_20121219_20160115005452.nc
  3. carve_GroundISGA_L2_b23_20131231_20160115005650.nc
  4. carve_GroundISGA_L2_b23_20141231_20160115005756.nc
Variables [Units]
  1. center_lat: latitude [degrees North]
  2. center_lat_standard_error: latitude standard_error [degrees North]
  3. center_lon: longitude [degrees East]
  4. center_lon_standard_error: longitude standard error[degrees East]
  5. height: height of aircraft above ground [meter]
  6. height_standard_error: height standard error [meter]
  7. geolocation_qc: geolocation status flag [0 = Success, 1 = Error]
  8. time: time [seconds since 1980-1-6 0:0:0]
  9. co: Carbon monoxide dry mole fraction measurements at 2-second intervals [ppb]
  10. co_qc: QC flag for carbon monoxide measurements [1 = Valid; 2 = Out of Range; 3 = Error]
  11. co_stddev: Standard deviation of carbon monoxide measurements
  12. co2: Carbon dioxide dry mole fraction measurements at 2-second intervals [ppm]
  13. co2_qc: QC flag for carbon dioxide measurements [1 = Valid; 2 = Out of Range; 3 = Error]
  14. co2_stddev: Standard deviation of carbon dioxide measurements
  15. ch4: Methane dry mole fraction measurements at 2-second intervals [ppb]
  16. ch4_qc: QC flag for methane measurements [1 = Valid; 2 = Out of Range; 3 = Error]
  17. ch4_stddev: Standard deviation of methane measurements
  18. ambient temperature: Ambient temperature outside the base of the tower [degrees Celsius]
  19. horizontal velocity: Horizontal velocity from Vaisala 2D sonic anemometer mounted at the top of the tower [m s-1]
  20. atmospheric pressure: Atmospheric pressure [mbar]
  21. sonic temperature: Sonic temperature from Vaisala sonic anemometer [degrees Celsius]
  22. vertical velocity: Vertical velocity from Vaisala 2D sonic anemometer mounted at the top of the tower [m s-1]
Region Alaskan and Canadian Arctic
Spatial Reference
Spatial Resolution Point based
Spatial Coverage Latitude 64.99, Longitude -147.60
Temporal Coverage 2011-2015
Temporal Resolution Hourly
Formati netCDF
Is Supplement To
Related to

Randazzo, N.A., A.M. Michalak, C.E. Miller, S.M. Miller, Y.P. Shiga, and Y. Fang. 2021. Higher Autumn Temperatures Lead to Contrasting CO 2 Flux Responses in Boreal Forests Versus Tundra and Shrubland . Geophysical Research Letters. 48(18): https://doi.org/10.1029/2021GL093843

Dataset extent