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CA-Let: Alberta - Mixed Grass Prairie

Tower_team:
PI: Lawrence B. Flanagan larry.flanagan@uleth.ca -
Lat, Long: 49.7093, -112.9402
Elevation(m): 960
Network Affiliations: Phenocam, AmeriFlux, Fluxnet-Canada
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: Dfb (Warm Summer Continental: significant precipitation in all seasons )
Mean Annual Temp (°C): 5.36
Mean Annual Precip. (mm): 398.4
Flux Species Measured: CO2
Years Data Collected: 1998 - Present
Years Data Available:

AmeriFlux BASE 1998 - 2008   Data Citation
Data Use Policy:AmeriFlux Legacy Policy
Description:
Latitude 49.43° N; Longitude 112.56° W, altitude 951 meters,Mixed Grass Prairie that includes the following major species: Agropyron spp. (Wheat Grasses), ...
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CA-Let: Alberta - Mixed Grass Prairie

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

DOI(s) for citing CA-Let data

Data Use Policy: AmeriFlux Legacy Policy

  • AmeriFlux BASE: https://doi.org/10.17190/AMF/1436318
    Citation: Lawrence B. Flanagan (2018), AmeriFlux BASE CA-Let Alberta - Mixed Grass Prairie, Ver. 1-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1436318

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

CA-Let: Alberta - Mixed Grass Prairie

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Year Range

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CA-Let: Alberta - Mixed Grass Prairie

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
2014 Matheny, A. M., Bohrer, G., Stoy, P. C., Baker, I. T., Black, A. T., Desai, A. R., Dietze, M. C., Gough, C. M., Ivanov, V. Y., Jassal, R. S., Novick, K. A., Schäfer, K. V., Verbeeck, H. (2014) Characterizing The Diurnal Patterns of Errors in The Prediction of Evapotranspiration by Several Land-Surface Models: An Nacp Analysis, Journal Of Geophysical Research: Biogeosciences, 119(7), 1458-1473. https://doi.org/10.1002/2014JG002623
2015 Dennis Baldocchi, Cove Sturtevant (2015) Does day and night sampling reduce spurious correlation between canopy photosynthesis and ecosystem respiration?, Agricultural and Forest Meteorology, 207, 117-126. https://doi.org/10.1016/j.agrformet.2015.03.010
2006 Richardson, A. D., Hollinger, D. Y., Burba, G. G., Davis, K. J., Flanagan, L. B., Katul, G. G., William Munger, J., Ricciuto, D. M., Stoy, P. C., Suyker, A. E., Verma, S. B., Wofsy, S. C. (2006) A Multi-Site Analysis Of Random Error In Tower-Based Measurements Of Carbon And Energy Fluxes, Agricultural And Forest Meteorology, 136(1-2), 1-18. https://doi.org/10.1016/j.agrformet.2006.01.007
2004 Li, T., Grant, R. F., Flanagan, L. B. (2004) Climate Impact On Net Ecosystem Productivity Of A Semi-Arid Natural Grassland: Modeling And Measurement, Agricultural And Forest Meteorology, 126(1-2), 99-116. https://doi.org/10.1016/j.agrformet.2004.06.005
2006 Coursolle, C., Margolis, H. A., Barr, A. G., Black, T. A., Amiro, B. D., McCaughey, J. H., Flanagan, L. B., Lafleur, P. M., Roulet, N. T., Bourque, C. P., Arain, M. A., Wofsy, S. C., Dunn, A., Morgenstern, K., Orchansky, A. L., Bernier, P. Y., Chen, J. M., Kidston, J., Saigusa, N., Hedstrom, N. (2006) Late-Summer Carbon Fluxes From Canadian Forests And Peatlands Along An East-–West Continental Transect, Canadian Journal Of Forest Research, 36(3), 783-800. https://doi.org/10.1139/x05-270
2005 Flanagan, L. B., Johnson, B. G. (2005) Interacting Effects Of Temperature, Soil Moisture And Plant Biomass Production On Ecosystem Respiration In A Northern Temperate Grassland, Agricultural And Forest Meteorology, 130(3-4), 237-253. https://doi.org/10.1016/j.agrformet.2005.04.002
2005 Sims, D. A., Rahman, A. F., Cordova, V. D., Baldocchi, D. D., Flanagan, L. B., Goldstein, A. H., Hollinger, D. Y., Misson, L., Monson, R. K., Schmid, H. P., Wofsy, S. C., Xu, L. (2005) Midday Values Of Gross CO2 Flux And Light Use Efficiency During Satellite Overpasses Can Be Used To Directly Estimate Eight-Day Mean Flux, Agricultural And Forest Meteorology, 131(1-2), 1-12. https://doi.org/10.1016/j.agrformet.2005.04.006
2005 Gilmanov, T. G., Tieszen, L. L., Wylie, B. K., Flanagan, L. B., Frank, A. B., Haferkamp, M. R., Meyers, T. P., Morgan, J. A. (2005) Integration Of CO2 Flux And Remotely-Sensed Data For Primary Production And Ecosystem Respiration Analyses In The Northern Great Plains: Potential For Quantitative Spatial Extrapolation, Global Ecology And Biogeography, 14(3), 271-292. https://doi.org/10.1111/j.1466-822x.2005.00151.x
2002 Flanagan, L. B., Wever, L. A., Carlson, P. J. (2002) Seasonal And Interannual Variation In Carbon Dioxide Exchange And Carbon Balance In A Northern Temperate Grassland, Global Change Biology, 8(7), 599-615. https://doi.org/10.1046/j.1365-2486.2002.00491.x
2006 Ponton, S., Flanagan, L. B., Alstad, K. P., Johnson, B. G., Morgenstern, K., Kljun, N., Black, T. A., Barr, A. G. (2006) Comparison Of Ecosystem Water-Use Efficiency Among Douglas-Fir Forest, Aspen Forest And Grassland Using Eddy Covariance And Carbon Isotope Techniques, Global Change Biology, 12(2), 294-310. https://doi.org/10.1111/j.1365-2486.2005.01103.x
2003 Conte, M. H., Weber, J. C., Carlson, P. J., Flanagan, L. B. (2003) Molecular And Carbon Isotopic Composition Of Leaf Wax In Vegetation And Aerosols In A Northern Prairie Ecosystem, Oecologia, 135(1), 67-77. https://doi.org/10.1007/s00442-002-1157-4
1999 Flanagan, L. B., Kubien, D. S., Ehleringer, J. R. (1999) Spatial And Temporal Variation In The Carbon And Oxygen Stable Isotope Ratio Of Respired CO2 In A Boreal Forest Ecosystem, Tellus Series B-Chemical and Physical Meteorology., 51(2), n/a-n/a. https://doi.org/10.3402/tellusb.v51i2.16306
2005 Zhang, Y., Grant, R., Flanagan, L., Wang, S., Verseghy, D. (2005) Modelling CO2 And Energy Exchanges In A Northern Semiarid Grassland Using The Carbon- And Nitrogen-Coupled Canadian Land Surface Scheme (C-CLASS), Ecological Modelling, 181(4), 591-614. https://doi.org/10.1016/j.ecolmodel.2004.07.007
1996 Flanagan, L. B., Brooks, J. R., Varney, G. T., Berry, S. C., Ehleringer, J. R. (1996) Carbon Isotope Discrimination During Photosynthesis And The Isotope Ratio Of Respired CO2 in Boreal Forest Ecosystems, Global Biogeochemical Cycles, 10(4), 629-640. https://doi.org/10.1029/96gb02345

CA-Let: Alberta - Mixed Grass Prairie

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.

CA-Let: Alberta - Mixed Grass Prairie

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 656m x 656m
  • 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