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US-Shd: Shidler- Oklahoma

Tower_team:
PI: Andy Suyker asuyker1@unl.edu - University of Nebraska - Lincoln
AncContact: Todd Schimelfenig TSchimelfenig1@unl.edu -
Lat, Long: 36.9333, -96.6833
Elevation(m): 346
Network Affiliations: AmeriFlux
Vegetation IGBP: GRA (Grasslands: Lands with herbaceous types of cover. Tree and shrub cover is less than 10%. Permanent wetlands lands with a permanent mixture of water and herbaceous or woody vegetation. The vegetation can be present in either salt, brackish, or fresh water.)
Climate Koeppen: Cfa (Humid Subtropical: mild with no dry season, hot summer)
Mean Annual Temp (°C): 14.32
Mean Annual Precip. (mm): 897.91
Flux Species Measured: CO2
Years Data Collected: 1997 - 2001
Years Data Available:

AmeriFlux BASE 1997 - 2000   Data Citation
Data Use Policy:AmeriFlux Legacy Policy
Description:
Native tall grass prairie. A prairie management prescribed burn was conducted in the spring of 1997, but not in 1996. The site was not grazed from early ...
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URL: http://www.nrel.colostate.edu/projects/okflux/
Research Topics:
The research and science objectives of the Shidler Tallgrass Prairie site are as follows: 1) Examine the differences, similarities, and environmental controls ...
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Acknowledgment: —
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US-Shd: Shidler- Oklahoma

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

DOI(s) for citing US-Shd data

Data Use Policy: AmeriFlux Legacy Policy

  • AmeriFlux BASE: https://doi.org/10.17190/AMF/1246095
    Citation: Shashi Verma (2016), AmeriFlux BASE US-Shd Shidler- Oklahoma, Ver. 2-1, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246095

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

    —

Acknowledgments

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Resources

US-Shd: Shidler- Oklahoma

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-Shd: Shidler- Oklahoma

Year Publication
2021 Chu, H., Luo, X., Ouyang, Z., Chan, W. S., Dengel, S., Biraud, S. C., Torn, M. S., Metzger, S., Kumar, J., Arain, M. A., Arkebauer, T. J., Baldocchi, D., Bernacchi, C., Billesbach, D., Black, T. A., Blanken, P. D., Bohrer, G., Bracho, R., Brown, S., Brunsell, N. A., Chen, J., Chen, X., Clark, K., Desai, A. R., Duman, T., Durden, D., Fares, S., Forbrich, I., Gamon, J. A., Gough, C. M., Griffis, T., Helbig, M., Hollinger, D., Humphreys, E., Ikawa, H., Iwata, H., Ju, Y., Knowles, J. F., Knox, S. H., Kobayashi, H., Kolb, T., Law, B., Lee, X., Litvak, M., Liu, H., Munger, J. W., Noormets, A., Novick, K., Oberbauer, S. F., Oechel, W., Oikawa, P., Papuga, S. A., Pendall, E., Prajapati, P., Prueger, J., Quinton, W. L., Richardson, A. D., Russell, E. S., Scott, R. L., Starr, G., Staebler, R., Stoy, P. C., Stuart-Haëntjens, E., Sonnentag, O., Sullivan, R. C., Suyker, A., Ueyama, M., Vargas, R., Wood, J. D., Zona, D. (2021) Representativeness Of Eddy-Covariance Flux Footprints For Areas Surrounding Ameriflux Sites, Agricultural And Forest Meteorology, 301-302, 108350. https://doi.org/10.1016/j.agrformet.2021.108350
2013 Barr, A., Richardson, A., Hollinger, D., Papale, D., Arain, M., Black, T., Bohrer, G., Dragoni, D., Fischer, M., Gu, L., Law, B., Margolis, H., McCaughey, J., Munger, J., Oechel, W., Schaeffer, K. (2013) Use Of Change-Point Detection For Friction–Velocity Threshold Evaluation In Eddy-Covariance Studies, Agricultural And Forest Meteorology, 171-172, 31-45. https://doi.org/10.1016/j.agrformet.2012.11.023
2018 Chu, H., Baldocchi, D. D., Poindexter, C., Abraha, M., Desai, A. R., Bohrer, G., Arain, M. A., Griffis, T., Blanken, P. D., O'Halloran, T. L., Thomas, R. Q., Zhang, Q., Burns, S. P., Frank, J. M., Christian, D., Brown, S., Black, T. A., Gough, C. M., Law, B. E., Lee, X., Chen, J., Reed, D. E., Massman, W. J., Clark, K., Hatfield, J., Prueger, J., Bracho, R., Baker, J. M., Martin, T. A. (2018) Temporal Dynamics Of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks, Geophysical Research Letters, 45, 9275–9287. https://doi.org/10.1029/2018GL079306
2001 Burba, G. G., Verma, S. B. (2001) Prairie Growth, PAR Albedo And Seasonal Distribution Of Energy Fluxes, Agricultural And Forest Meteorology, 107(3), 227-240. https://doi.org/10.1016/s0168-1923(00)00233-1
2002 Hanan, N. P., Burba, G., Verma, S. B., Berry, J. A., Suyker, A., Walter-Shea, E. A. (2002) Inversion Of Net Ecosystem CO2 Flux Measurements For Estimation Of Canopy PAR Absorption, Global Change Biology, 8(6), 563-574. https://doi.org/10.1046/j.1365-2486.2002.00488.x
2003 Suyker, A. E., Verma, S. B., Burba, G. G. (2003) Interannual Variability In Net CO2 Exchange Of A Native Tallgrass Prairie, Global Change Biology, 9(2), 255-265. https://doi.org/10.1046/j.1365-2486.2003.00567.x
2005 Gu, L., Falge, E. M., Boden, T., Baldocchi, D. D., Black, T., Saleska, S. R., Suni, T., Verma, S. B., Vesala, T., Wofsy, S. C., Xu, L. (2005) Objective Threshold Determination For Nighttime Eddy Flux Filtering, Agricultural And Forest Meteorology, 128(3-4), 179-197. https://doi.org/10.1016/j.agrformet.2004.11.006
2001 Suyker, A. E., Verma, S. B. (2001) Year-Round Observations Of The Net Ecosystem Exchange Of Carbon Dioxide In A Native Tallgrass Prairie, Global Change Biology, 7(3), 279-289. https://doi.org/10.1046/j.1365-2486.2001.00407.x
2005 Hanan, N. P., Berry, J. A., Verma, S. B., Walter-Shea, E. A., Suyker, A. E., Burba, G. G., Denning, A. S. (2005) Testing A Model Of CO2, Water And Energy Exchange In Great Plains Tallgrass Prairie And Wheat Ecosystems, Agricultural And Forest Meteorology, 131(3-4), 162-179. https://doi.org/10.1016/j.agrformet.2005.05.009

US-Shd: Shidler- Oklahoma

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-Shd: Shidler- Oklahoma

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 811m x 811m
  • 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