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US-Atq: Atqasuk

Tower_team:
PI: Donatella Zona dzona@mail.sdsu.edu - San Diego State University
PI: Walt Oechel woechel@mail.sdsu.edu - San Diego State University
Lat, Long: 70.4696, -157.4089
Elevation(m): 15.00
Network Affiliations: AmeriFlux
Vegetation IGBP: WET (Permanent Wetlands: Lands with a permanent mixture of water and herbaceous or woody vegetation that cover extensive areas. The vegetation can be present in either salt, brackish, or fresh water)
Climate Koeppen: ET (Tundra)
Mean Annual Temp (°C): -9.7
Mean Annual Precip. (mm): 93
Flux Species Measured: CO2, H2O, CH4
Years Data Collected: 1999 - Present
Years Data Available:

AmeriFlux BASE 1999 - 2006   Data Citation
Data Use Policy:AmeriFlux Legacy Policy
Description:
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URL: http://gcrg.sdsu.edu
Research Topics:
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Acknowledgment: —
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US-Atq: Atqasuk

Use the information below for citation of this site. See the Data Policy page for more details.

DOI(s) for citing US-Atq data

Data Use Policy: AmeriFlux Legacy Policy

  • AmeriFlux BASE: https://doi.org/10.17190/AMF/1246029
    Citation: Donatella Zona, Walt Oechel (2016), AmeriFlux BASE US-Atq Atqasuk, Ver. 1-1, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246029

To cite BADM when downloaded on their own, use the publications below for citing site characterization. When using BADM that are downloaded with AmeriFlux BASE and AmeriFlux FLUXNET products, use the DOI citation for the associated data product.

Publication(s) for citing site characterization

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Acknowledgments

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Resources

US-Atq: Atqasuk

This page displays the list of downloads of data for the site {{siteId}}.

Note: Results are the number of downloads to distinct data users. The Download Count column indicates the number of times the data user downloaded the data. The Version column refers to the version of the data product for the site that was downloaded by the data user.

Year Range

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US-Atq: Atqasuk

Year Publication
2022 Oehri, J., Schaepman-Strub, G., Kim, J., Grysko, R., Kropp, H., Grünberg, I., Zemlianskii, V., Sonnentag, O., Euskirchen, E. S., Reji Chacko, M., Muscari, G., Blanken, P. D., Dean, J. F., di Sarra, A., Harding, R. J., Sobota, I., Kutzbach, L., Plekhanova, E., Riihelä, A., Boike, J., Miller, N. B., Beringer, J., López-Blanco, E., Stoy, P. C., Sullivan, R. C., Kejna, M., Parmentier, F. W., Gamon, J. A., Mastepanov, M., Wille, C., Jackowicz-Korczynski, M., Karger, D. N., Quinton, W. L., Putkonen, J., van As, D., Christensen, T. R., Hakuba, M. Z., Stone, R. S., Metzger, S., Vandecrux, B., Frost, G. V., Wild, M., Hansen, B., Meloni, D., Domine, F., te Beest, M., Sachs, T., Kalhori, A., Rocha, A. V., Williamson, S. N., Morris, S., Atchley, A. L., Essery, R., Runkle, B. R., Holl, D., Riihimaki, L. D., Iwata, H., Schuur, E. A., Cox, C. J., Grachev, A. A., McFadden, J. P., Fausto, R. S., Göckede, M., Ueyama, M., Pirk, N., de Boer, G., Bret-Harte, M. S., Leppäranta, M., Steffen, K., Friborg, T., Ohmura, A., Edgar, C. W., Olofsson, J., Chambers, S. D. (2022) Vegetation Type Is An Important Predictor Of The Arctic Summer Land Surface Energy Budget, Nature Communications, 13(1), . https://doi.org/10.1038/s41467-022-34049-3
2005 Kwon, H.J., Oechel, W.C., Zulueta, R.C., Hastings, S.J. (2005) Effects Of Climate Variability On Carbon Sequestration Among Adjacent Wet Sedge Tundra And Moist Tussock Tundra Ecosystems, Journal Of Geophysical Research: Biogeosciences, 111(G3), 2005-2012. https://doi.org/10.1029/2005JG000036
2014 Oechel, W. C., Laskowski, C. A., Burba, G., Gioli, B., Kalhori, A. A. (2014) Annual Patterns And Budget Of CO2 Flux In An Arctic Tussock Tundra Ecosystem, Journal Of Geophysical Research: Biogeosciences, 119(3), 323-339. https://doi.org/10.1002/2013JG002431
2014 Oechel, Walter. C., Cheryl. A. Laskowski, George. Burba, Beniamino. Gioli, Aram. A. M. Kalhori (2014) Annual patterns and budget of CO2 flux in an Arctic tussock tundra ecosystem, Journal of Geophysical Research: Biogeosciences, 119(3), 323-339. https://doi.org/10.1002/2013JG002431

US-Atq: Atqasuk

BADM for This Site

Access the Biological, Ancillary, Disturbance and Metadata (BADM) information and data for this site.

BADM contain information for many uses, such as characterizing a site’s vegetation and soil, describing disturbance history, and defining instrumentation for flux processing. They complement the flux/met data.

* Online updates are shown on the Overview tab real time. However, downloaded BADM files will not reflect those updates until they have been reviewed for QA/QC.

US-Atq: Atqasuk

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 339m x 339m
  • Data Collected:
    • Wind roses use variables ‘WS’ and ‘WD’.
    Download Data Download Wind Rose as Image File (PNG)

    Wind Speed (m/s)

  • Graph Type
  • Wind Speed Scale
  • Wind Direction Scale (%)
  • Show Satellite Image
  • Show Wind Rose
    • Annual Average
    About Ameriflux Wind Roses
    Wind Rose Explanation
    A wind rose gives a succinct view of how wind speed and direction are typically distributed at a particular location. Presented in a circular format, a wind rose shows the frequency and intensity of winds blowing from particular directions. The length of each “spoke” around the circle indicates the amount of time (frequency) that the wind blows from a particular direction. Colors along the spokes indicate categories of wind speed (intensity). Each concentric circle represents a different frequency, emanating from zero at the center to increasing frequencies at the outer circles
    Utility
    This information can be useful to gain insight into regions surrounding a flux tower that contribute to the measured fluxes, and how those regions change in dependence of the time of day and season. The wind roses presented here are for four periods of the year, and in 16 cardinal directions. Graphics are available for all sites in the AmeriFlux network based on reported wind measurements at each site.
    Data from each site can be downloaded by clicking the ‘download’ button.
    Hover the cursor over a wind rose to obtain directions, speeds and intensities.
    Note that wind roses are not equivalent to flux footprints. Specifically, the term flux footprint describes an upwind area “seen” by the instruments measuring vertical turbulent fluxes, such that heat, water, gas and momentum transport generated in this area is registered by the instruments. Wind roses, on the other hand, identify only the direction and speed of wind.
    Where do these data come from?
    The wind roses are based on observed hourly data from the sites registered with the AmeriFlux Network.
    Parameters for AmeriFlux Wind Roses
    To use wind roses for a single AmeriFlux site, the following parameters may be most useful:
    • Wind Speed Scale: Per Site
    • Wind Direction Scale (%): Per Site
    To compare wind roses from more than one single AmeriFlux site, the following parameters may be most useful:
    • Wind Speed Scale: Non-Linear
    • Wind Direction Scale (%): AmeriFlux
    Mar - Jun; 6am - 6pm
    Mar - Jun; 6pm - 6am
    Jun - Sep; 6am - 6pm
    Jun - Sep; 6pm - 6am
    Sep - Dec; 6am - 6pm
    Sep - Dec; 6pm - 6am
    Dec - Mar; 6am - 6pm
    Dec - Mar; 6pm - 6am