AmeriFlux Logo
Quick Sites: Sign in to Use
  1. Home
  2. Sites
  3. Siteinfo
  4. US-IB1

US-IB1: Fermi National Accelerator Laboratory- Batavia (Agricultural site)

Tower_team:
PI: Roser Matamala matamala@anl.gov - Argonne National Laboratory
FluxContact: David Cook dsgcook@prodigy.net - Argonne National Laboratory
Lat, Long: 41.8593, -88.2227
Elevation(m): 226.5
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: Dfa (Humid Continental: humid with severe winter, no dry season, hot summer)
Mean Annual Temp (°C): 9.18
Mean Annual Precip. (mm): 929.23
Flux Species Measured: CO2
Years Data Collected: 2005 - Present
Years Data Available:2005 - 2018   DOIs to use for Citation of Data
Description:
Two eddy correlation systems are installed at Fermi National Accelerator Laboratory: one on a restored prairie (established October 2004) and one on a ...
See MoreShow Less
URL: http://www.atmos.anl.gov/FERMI/index.html
Research Topics:
The primary objectives of the proposed study are to (1) compare net ecosystem production derived by integrating eddy covariance estimates of net ecosystem ...
See MoreShow Less
Acknowledgment: —
Site Photo More Site Images
Image Credit:
Copyright preference: Request for permission
Site Publication More Site Publications

US-IB1: Fermi National Accelerator Laboratory- Batavia (Agricultural site)

DOIs for this site and other citation information

Citations: For data, use the DOI citation. For site characterization, use the site publication. For funding, use acknowledgments.

DOIs to use for Citation of Data

  • AmeriFlux
  • Citation: Roser Matamala (2019), AmeriFlux BASE US-IB1 Fermi National Accelerator Laboratory- Batavia (Agricultural site), Ver. 8-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246065
  • Link: https://doi.org/10.17190/AMF/1246065

Publication(s) to use for citations of site characterization

    —

Acknowledgements

    —

Resources

US-IB1: Fermi National Accelerator Laboratory- Batavia (Agricultural site)

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.

Year Range
 Showing {{startItem + 1}} to {{(startItem + items) > filtered.length ? filtered.length : (startItem + items)}} of {{filtered.length}} results
Products
Site Team View

Items Per Page:  
Date Email Name Version Intended Use Intended Use Description Download Count
{{dlObject.timeStamp}} {{dlObject.email}} {{dlObject.displayName}} {{dlObject.version}} {{dlObject.intendedUse}} {{dlObject.comment}} {{dlObject.downloadCounter}}
No results to display
Date Name Product Version Intended Use Intended Use Description Download Count
{{dlObject.timeStamp}} {{dlObject.displayName}} {{dlObject.dataProduct}} {{dlObject.version}} {{dlObject.intendedUse}} {{dlObject.comment}} {{dlObject.downloadCounter}}
No results to display

 Showing {{startItem + 1}} to {{(startItem + items) > filtered.length ? filtered.length : (startItem + items)}} of {{filtered.length}} results

Items Per Page:  

Not Found

Uh Oh. Something is missing. Try double checking the URL and try again.

US-IB1: Fermi National Accelerator Laboratory- Batavia (Agricultural site)

MODIS NDVI

The time series shows the 16-day Normalized Difference Vegetation Index (NDVI) average from the MOD13Q1 data product.
Use the slider below the time series to zoom in and out.

Includes all pixels that have acceptable quality

To view / download these data and other MOD13Q1 products for this site, visit MODIS/Terra Vegetation Indices.

For other related products, visit MODIS/VIIRS Fixed Sites Subsets Tool.

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.

MODIS NDVI subsetted data is not yet available for this site.

For a complete list of AmeriFlux sites, visit ORNL DAAC's MODIS/VIIRS Fixed Sites Subsets Tool.

US-IB1: Fermi National Accelerator Laboratory- Batavia (Agricultural site)

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.
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.
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.
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.
2004 Post, W. M., Izaurralde, R. C., Jastrow, J. D., McCarl, B. A., Amonette, J. E., Bailey, V. L., Jardine, P. M., West, T. O., Zhou, J. (2004) Enhancement Of Carbon Sequestration In US Soils, Bioscience, 54(10), 895-908.
2008 Matamala, R., Jastrow, J. D., Miller, R. M., Garten, C. T. (2008) Temporal Changes In C And N Stocks Of Restored Prairie: Implications For C Sequestration Strategies, Ecological Applications, 18(6), 1470-1488.
2005 Allison, V. J., Miller, R. M., Jastrow, J. D., Matamala, R., Zak, D. R. (2005) Changes In Soil Microbial Community Structure In A Tallgrass Prairie Chronosequence, Soil Science Society Of America Journal, 69(5), 1412-1421.
1987 Jastrow, J. D. (1987) Changes In Soil Aggregation Associated With Tallgrass Prairie Restoration, American Journal Of Botany, 74(11), 1656-1664.
1998 Jastrow, J., Miller, R., Lussenhop, J. (1998) Contributions Of Interacting Biological Mechanisms To Soil Aggregate Stabilization In Restored Prairie, Soil Biology And Biochemistry, 30(7), 905-916.
1996 Jastrow, J. (1996) Soil Aggregate Formation And The Accrual Of Particulate And Mineral-Associated Organic Matter, Soil Biology And Biochemistry, 28(4-5), 665-676.
2002 Sluis, W. J. (2002) Patterns Of Species Richness And Composition In Re-Created Grassland, Restoration Ecology, 10(4), 677-684.
2002 Miller, R. M., Miller, S. P., Jastrow, J. D., Rivetta, C. B. (2002) Mycorrhizal Mediated Feedbacks Influence Net Carbon Gain And Nutrient Uptake In Andropogon Gerardii, New Phytologist, 155(1), 149-162.

US-IB1: Fermi National Accelerator Laboratory- Batavia (Agricultural site)

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-IB1: Fermi National Accelerator Laboratory- Batavia (Agricultural site)

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 756m x 756m
  • 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