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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 - University of Toledo / University of California, Berkeley
Lat, Long: 41.464639, -82.996157
Elevation(m): 175
Network Affiliations: Ameriflux
Vegetation IGBP: WET (Permanent Wetlands)
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: CH4, CO2, H, H2O
Years Data Collected: AmeriFlux: 2011 - 2013
Description:
The marsh site has been owned by the Winous Point Shooting Club since 1856 and has been managed by wildlife biologists since 1946. The hydrology of the ...
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URL: http://lees.geo.msu.edu/index.html
Research Topics:
Acknowledgment: Supported by NOAA (NA10OAR4170224) & NSF (NSF1034791)
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Instructions for DOIs for This Site

When using DOIs for this site, use the publications and acknowledgments listed below.

DOIs

Publications to use for Citations for this Site

Acknowledgements

  • Supported by NOAA (NA10OAR4170224) & NSF (NSF1034791)

Resources

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

NOTE: Version refers to the version of the AmeriFlux BASE-BADM product for the site was downloaded by the user and the download count indicates the number of times the person downloaded that version. The download count indicates the number of times the person downloaded the data.

Year Range
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MODIS NDVI

View timeseries and download data for 16-day Normalized Difference Vegetation Index (NDVI) for this site.

For other MODIS and related products for this site, visit MODIS/VIIRS Subsets.

Citation:

ORNL DAAC. 2018. MODIS and VIIRS Land Products Fixed Sites Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1567

Read more on how to cite these MODIS products. Data come from NASA’s MODIS instruments installed on satellites Terra and Aqua, which scan the entire Earth’s surface every one to two days.

Year Publication
2018 Qiu, C., Zhu, D., Ciais, P., Guenet, B., Krinner, G., Peng, S., Aurela, M., Bernhofer, C., Brümmer, C., Bret-Harte, S., Chu, H., Chen, J., Desai, A. R., Dušek, J., Euskirchen, E. S., Fortuniak, K., Flanagan, L. B., Friborg, T., Grygoruk, M., Gogo, S., Grünwald, T., Hansen, B. U., Holl, D., Humphreys, E., Hurkuck, M., Kiely, G., Klatt, J., Kutzbach, L., Largeron, C., Laggoun-Défarge, F., Lund, M., Lafleur, P. M., Li, X., Mammarella, I., Merbold, L., Nilsson, M. B., Olejnik, J., Ottosson-Löfvenius, M., Oechel, W., Parmentier, F. W., Peichl, M., Pirk, N., Peltola, O., Pawlak, W., Rasse, D., Rinne, J., Shaver, G., Schmid, H. P., Sottocornola, M., Steinbrecher, R., Sachs, T., Urbaniak, M., Zona, D., Ziemblinska, K. (2018) Orchidee-Peat (Revision 4596), A Model For Northern Peatland Co≪Sub≫2≪/Sub≫, Water, And Energy Fluxes On Daily To Annual Scales, Geoscientific Model Development, 11(2), 497-519.
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.
2015 Chu, H., Gottgens, J. F., Chen, J., Sun, G., Desai, A. R., Ouyang, Z., Shao, C., Czajkowski, K. (2015) Climatic Variability, Hydrologic Anomaly, And Methane Emission Can Turn Productive Freshwater Marshes Into Net Carbon Sources, Global Change Biology, 21(3), 1165-1181.
2014 Chu, H., Chen, J., Gottgens, J. F., Ouyang, Z., John, R., Czajkowski, K., Becker, R. (2014) Net Ecosystem Methane And Carbon Dioxide Exchanges In A Lake Erie Coastal Marsh And A Nearby Cropland, Journal Of Geophysical Research: Biogeosciences, 119(5), 722-740.

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: 761m x 761m
  • 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