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Tower_team:
PI: Jiquan Chen jqchen@msu.edu - University of Toledo / Michigan State University
FluxContact: Housen Chu chu.housen@gmail.com - Lawrence Berkeley National Lab
Lat, Long: 41.5545, -83.8438
Elevation(m): 230
Network Affiliations: AmeriFlux, USCCC
Vegetation IGBP: DBF (Deciduous Broadleaf Forests: Lands dominated by woody vegetation with a percent cover >60% and height exceeding 2 meters. Consists of broadleaf tree communities with an annual cycle of leaf-on and leaf-off periods.)
Climate Koeppen: Dfa (Humid Continental: humid with severe winter, no dry season, hot summer)
Mean Annual Temp (°C): 10.1
Mean Annual Precip. (mm): 849
Flux Species Measured: CO2, H, H2O
Years Data Collected: 2004 - 2013
Years Data Available:

AmeriFlux BASE 2004 - 2013   Data Citation

AmeriFlux FLUXNET 2004 - 2013   Data Citation

Data Use Policy:AmeriFlux CC-BY-4.0 Policy1
Description:
The Ohio Oak Openings site is located within the Oak Openings Preserve Metropark of northwest Ohio, one of the few remaining oak woodlands/savanna/prairie ...
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URL: http://lees.geo.msu.edu/index.html
Research Topics:
The research and science objectives of the Ohio Oak Openings site are as follows: 1) Quantify and partition the effect of a moderate drought on the carbon ...
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Acknowledgment: USDA FS Southern Global Change Program (cooperative agreements 03-CA-11330147-073 and 04-CA-11330147-238)
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.
Site Photo More Site Images
Image Credit:
Copyright preference: Request for permission
Site Publication More Site Publications

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

DOI(s) for citing US-Oho 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-Oho data are combined with data from sites that require the AmeriFlux Legacy Policy.

  • AmeriFlux BASE: https://doi.org/10.17190/AMF/1246089
    Citation: Jiquan Chen, Housen Chu, Asko Noormets (2021), AmeriFlux BASE US-Oho Oak Openings, Ver. 7-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246089
  • AmeriFlux FLUXNET: https://doi.org/10.17190/AMF/2229385
    Citation: Jiquan Chen, Housen Chu, Asko Noormets (2023), AmeriFlux FLUXNET-1F US-Oho Oak Openings, Ver. 3-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/2229385

Find global FLUXNET datasets, like FLUXNET2015 and FLUXNET-CH4, and their citation information at fluxnet.org.

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

Resources

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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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Year Publication
2020 Xu, B., Arain, M. A., Black, T. A., Law, B. E., Pastorello, G. Z., Chu, H. (2020) Seasonal Variability Of Forest Sensitivity To Heat And Drought Stresses: A Synthesis Based On Carbon Fluxes From North American Forest Ecosystems, Global Change Biology, 26(2), 901-918. https://doi.org/10.1111/gcb.14843
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
2016 Novick, K. A., Ficklin, D. L., Stoy, P. C., Williams, C. A., Bohrer, G., Oishi, A., Papuga, S. A., Blanken, P. D., Noormets, A., Sulman, B. N., Scott, R. L., Wang, L., Phillips, R. P. (2016) The Increasing Importance Of Atmospheric Demand For Ecosystem Water And Carbon Fluxes, Nature Climate Change, 6(11), 1023-1027. https://doi.org/10.1038/nclimate3114
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
2016 Chu, H., Chen, J., Gottgens, J. F., Desai, A. R., Ouyang, Z., Qian, S. S. (2016) Response And Biophysical Regulation Of Carbon Dioxide Fluxes To Climate Variability And Anomaly In Contrasting Ecosystems In Northwestern Ohio, Usa, Agricultural And Forest Meteorology, 220, 50-68. https://doi.org/10.1016/j.agrformet.2016.01.008
2016 Xie, J., Chen, J., Sun, G., Zha, T., Yang, B., Chu, H., Liu, J., Wan, S., Zhou, C., Ma, H., Bourque, C. P., Shao, C., John, R., Ouyang, Z. (2016) Ten-Year Variability In Ecosystem Water Use Efficiency In An Oak-Dominated Temperate Forest Under A Warming Climate, Agricultural And Forest Meteorology, 218-219, 209-217. https://doi.org/10.1016/j.agrformet.2015.12.059
2008 Noormets, A., McNulty, S. G., DeForest, J. L., Sun, G., Li, Q., Chen, J. (2008) Drought During Canopy Development Has Lasting Effect On Annual Carbon Balance In A Deciduous Temperate Forest, New Phytologist, 179(3), 818-828. https://doi.org/10.1111/j.1469-8137.2008.02501.x
2014 Xie, J., Chen, J., Sun, G., Chu, H., Noormets, A., Ouyang, Z., John, R., Wan, S., Guan, W. (2014) Long-Term Variability And Environmental Control Of The Carbon Cycle In An Oak-Dominated Temperate Forest, Forest Ecology And Management, 313(1), 319-328. https://doi.org/10.1016/j.foreco.2013.10.032
2006 DeForest, J. L., Noormets, A., McNulty, S. G., Sun, G., Tenney, G., Chen, J. (2006) Phenophases Alter The Soil Respiration–Temperature Relationship In An Oak-Dominated Forest, International Journal Of Biometeorology, 51(2), 135-144. https://doi.org/10.1007/s00484-006-0046-7
2014 Xie, J., Sun, G., Chu, H., Liu, J., McNulty, S. G., Noormets, A., John, R., Ouyang, Z., Zha, T., Li, H., Guan, W., Chen, J. (2014) Long-Term Variability In The Water Budget And Its Controls In An Oak-Dominated Temperate Forest, Hydrological Processes, 28(25), 6054-6066. https://doi.org/10.1002/hyp.10079
2014 Ouyang, Z., Chen, J., Becker, R., Chu, H., Xie, J., Shao, C., John, R. (2014) Disentangling The Confounding Effects Of PAR And Air Temperature On Net Ecosystem Exchange At Multiple Time Scales, Ecological Complexity, 19, 46-58. https://doi.org/10.1016/j.ecocom.2014.04.005

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.

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 759m x 759m
  • 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
    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