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US-RC3: WSU Lind Dryland Research Station

Tower_team:
PI: Brian Lamb blamb@wsu.edu - Washington State University
PI: Jinshu Chi jinshuchi@hkust-gz.edu.cn - The Hong Kong University of Science and Technology (Guangzhou)
PI: Shelley Pressley spressley@wsu.edu - Washington State University
AncContact: Bryan Carlson bryan.carlson@usda.gov - USDA-ARS NSARU
DataManager: Eric Russell eric.s.russell@wsu.edu - Washington State University
Technician: Patrick O'Keeffe pokeeffe@wsu.edu - Washington State University
Lat, Long: 46.9910, -118.5980
Elevation(m): —
Network Affiliations: AmeriFlux
Vegetation IGBP: CRO (Croplands: Lands covered with temporary crops followed by harvest and a bare soil period (e.g., single and multiple cropping systems). Note that perennial woody crops will be classified as the appropriate forest or shrub land cover type.)
Climate Koeppen: Dsb (Warm Summer Continental: warm summer)
Mean Annual Temp (°C): 10
Mean Annual Precip. (mm): 280
Flux Species Measured: CO2, H2O
Years Data Collected: 2011 - 2016
Years Data Available:

AmeriFlux BASE 2011 - 2016   Data Citation
Data Use Policy:AmeriFlux CC-BY-4.0 Policy1
Description:
RC3 operated from 2011-2016 at the Washington State University Lind Dryland Experimental Station, as part of a cluster of 5 towers (RC1 to RC5) operated ...
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URL: —
Research Topics: —
Acknowledgment: The Regional Approaches to Cliamte Change project was funded by award #2011-68002-30191 from the National Institute of Food and Agriculture.
Site Tasks
  1. This site’s data can also be used under the more restrictive AmeriFlux Legacy Policy.
    The AmeriFlux Legacy Policy must be followed if this site’s data are combined with data from sites that require the AmeriFlux Legacy Policy.
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US-RC3: WSU Lind Dryland Research Station

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

DOI(s) for citing US-RC3 data

Data Use Policy: AmeriFlux CC-BY-4.0 License

This site’s data can also be used under the more restrictive AmeriFlux Legacy Policy.
The AmeriFlux Legacy Policy must be followed if US-RC3 data are combined with data from sites that require the AmeriFlux Legacy Policy.

  • AmeriFlux BASE: https://doi.org/10.17190/AMF/1498749
    Citation: Jinshu Chi, Brian Lamb, Shelley Pressley (2021), AmeriFlux BASE US-RC3 WSU Lind Dryland Research Station, Ver. 2-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1498749

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-RC3: WSU Lind Dryland Research Station

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US-RC3: WSU Lind Dryland Research Station

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
2019 Waldo, S., Russell, E. S., Kostyanovsky, K., Pressley, S. N., O'Keeffe, P. T., Huggins, D. R., Stöckle, C. O., Pan, W. L., Lamb, B. K. (2019) N2O Emissions From Two Agroecosystems: High Spatial Variability And Long Pulses Observed Using Static Chambers And The Flux‐Gradient Technique, Journal Of Geophysical Research: Biogeosciences, 124(7), 1887-1904. https://doi.org/https://doi.org/10.1029/2019JG005032
2017 Chi, J., Waldo, S., Pressley, S. N., Russell, E. S., O'Keeffe, P. T., Pan, W. L., Huggins, D. R., Stöckle, C. O., Brooks, E. S., Lamb, B. K. (2017) Effects Of Climatic Conditions And Management Practices On Agricultural Carbon And Water Budgets In The Inland Pacific Northwest Usa, Journal Of Geophysical Research: Biogeosciences, 122(12), 3142-3160. https://doi.org/10.1002/2017JG004148
2017 Chi, J., Maureira, F., Waldo, S., Pressley, S. N., Stöckle, C. O., O'Keeffe, P. T., Pan, W. L., Brooks, E. S., Huggins, D. R., Lamb, B. K. (2017) Carbon And Water Budgets In Multiple Wheat-Based Cropping Systems In The Inland Pacific Northwest Us: Comparison Of Cropsyst Simulations With Eddy Covariance Measurements, Frontiers In Ecology And Evolution, 5, . https://doi.org/10.3389/fevo.2017.00050
2016 Waldo, S., Chi, J., Pressley, S. N., O’Keeffe, P., Pan, W. L., Brooks, E. S., Huggins, D. R., Stöckle, C. O., Lamb, B. K. (2016) Assessing Carbon Dynamics At High And Low Rainfall Agricultural Sites In The Inland Pacific Northwest Us Using The Eddy Covariance Method, Agricultural And Forest Meteorology, 218-219, 25-36. https://doi.org/10.1016/j.agrformet.2015.11.018

US-RC3: WSU Lind Dryland Research Station

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-RC3: WSU Lind Dryland Research Station

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 692m x 692m
  • 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