US-IB2: Fermi National Accelerator Laboratory- Batavia (Prairie site)
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| Tower_team: | |
| PI: | Roser Matamala matamala@anl.gov - Argonne National Laboratory |
| FluxContact: | David Cook dsgcook@prodigy.net - Argonne National Laboratory |
| Lat, Long: | 41.8406, -88.2410 |
| Elevation(m): | 226.5 |
| Network Affiliations: | AmeriFlux |
| 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: | Dfa (Humid Continental: humid with severe winter, no dry season, hot summer) |
| Mean Annual Temp (°C): | 9.04 |
| Mean Annual Precip. (mm): | 930.25 |
| Flux Species Measured: | CO2 |
| Years Data Collected: | 2004 - Present |
| Years Data Available: | AmeriFlux BASE 2004 - 2018 Data Citation |
| Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
| Description: | Two eddy correlation systems are installed at Fermi National Accelerator Laboratory: one on a restored prairie (established October 2004) and one on a ... Two eddy correlation systems are installed at Fermi National Accelerator Laboratory: one on a restored prairie (established October 2004) and one on a corn/soybean rotation agricultural field (established in July 2005). The prairie site had been farmed for more than 100 years, but was converted to prairie in 1989. April annual to bi-annual prescribed burns have taken place from 1994 - 2007. See MoreShow Less |
| URL: | http://www.atmos.anl.gov/FERMI/index.html |
| Research Topics: | — |
| Acknowledgment: | — |
- 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-IB2: Fermi National Accelerator Laboratory- Batavia (Prairie site)
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Use the information below for citation of this site. See the Data Policy page for more details.
DOI(s) for citing US-IB2 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-IB2 data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1246066
Citation: Roser Matamala (2019), AmeriFlux BASE US-IB2 Fermi National Accelerator Laboratory- Batavia (Prairie site), Ver. 8-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246066
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
- AmeriFlux Logos & Acknowledgments
US-IB2: Fermi National Accelerator Laboratory- Batavia (Prairie site)
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
This page displays the list of downloads of data for the site US-IB2.
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.
| Date | Name | Data Product | Version | Intended Use | Intended Use Description | Download Count |
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| Date | Name | Data Product | Vers. | Intended Use | Intended Use Description | Download Count |
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US-IB2: Fermi National Accelerator Laboratory- Batavia (Prairie site)
- Overview
- Windroses
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- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
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- GeoNEX
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| AmeriFlux Images | Add Image |
US-IB2 2005.US.IB2.sitevisit.IMG_1225
2005.US.IB2.sitevisit.IMG_1225
Keywords: —
Location:
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As
US-IB2 2005.US.IB2.sitevisit.IMG_1306
2005.US.IB2.sitevisit.IMG_1306
Keywords: —
Location:
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As
US-IB2 2011.Fermilab.sitevisit.DSC00046
2011.Fermilab.sitevisit.DSC00046
Keywords: —
Location:
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As
US-IB2: Fermi National Accelerator Laboratory- Batavia (Prairie site)
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
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.
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. Terrestrial Ecology Subsetting & Visualization Services (TESViS) Fixed Sites Subsets. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1567
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.
PhenoCam Images and Derived Time Series Data
PhenoCams are high-resolution digital cameras that take repeated images of studied ecosystems and provide quantitative information about the canopy phenology. The PhenoCam Network coordinates the camera installation and data reporting/analyses across sites in the Americas, providing automated, near-surface remote sensing of canopy phenology across a range of ecosystems and climate zones. Use of PhenoCam images / data should follow the PhenoCam Data Use Policy .
No PhenoCam data for this siteGeoNEX Data Products
GeoNEX led by NASA Earth eXchange (NEX) is a collaborative effort for generating Earth monitoring products from the new generation of geostationary satellite sensors. GeoNEX has produced a suite of geostationary data products including surface reflectance, land surface temperature, surface solar radiation, and many others.
The GeoNEX Common Grid locates GeoNEX data in the geographic (latitude/longitude) projection. Pixels (grid cells) are created at regular 0.005°, 0.01°, and 0.02° resolutions.
GeoNEX pixels below cover the area 0.06° x 0.06° around and including site US-IB2, 41.8406, -88.241.
Click a square in the grid at left to display its data below.
Coordinates for selected GeoNEX Pixel
Graph controls:
- Zoom: click-drag
- Pan: shift-click-drag
- Restore zoom level: double-click
- Use the slider below the time series to zoom in and out.
All download requests will be logged.
NDVI: Normalized Difference Vegetation Index
Resolution: 0.01° x 0.01° & 10 minutes
Coordinates for pixel:
NIRv Near-Infrared Reflectance of vegetation
Resolution: 0.01° x 0.01° & 10 minutes
Coordinates for pixel:
DSR: Surface downward shortwave radiation
Resolution: 0.01° x 0.01° & Hourly
Coordinates for pixel:
LST: Land Surface Temperature
Resolution: 0.02° x 0.02° & Hourly
Coordinates for pixel:
Citation
This material can be used without obtaining permission from NASA. NASA should be acknowledged as the source of this material.
Subset Data Citation:
- Hashimoto, H., Wang, W., Park, T., Khajehei, S., Ichii, K., Michaelis, A.R., Guzman, A., Nemani, R.R., Torn, M., Yi, K., Brosnan, I.G. (in preparation). Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles.
Relevant Science Publication Citation:
GeoNEX Surface Reflectance for Vegetation Indices (NDVI & NIRv)- Wang, W., Wang, Y., Lyapustin, A., Hashimoto, H., Park, T., Michaelis, A., & Nemani, R. (2022). A novel atmospheric correction algorithm to exploit the diurnal variability in hypertemporal geostationary observations. Remote Sensing, 14(4), 964.
- Li, R., Wang, D., Wang, W., & Nemani, R. (2023). A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation. Earth System Science Data, 15(3), 1419-1436.
- Jia, A., Liang, S., & Wang, D. (2022). Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data. Remote Sensing of Environment, 278, 113105.
US-IB2: Fermi National Accelerator Laboratory- Batavia (Prairie site)
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
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| AmeriFlux Publications | Add Publication |
| Year | Publication |
|---|---|
| 2025 | Xia, Y., Sanderman, J., Watts, J. D., Machmuller, M. B., Mullen, A. L., Rivard, C., Endsley, A., Hernandez, H., Kimball, J., Ewing, S. A., Litvak, M., Duman, T., Krishnan, P., Meyers, T., Brunsell, N. A., Mohanty, B., Liu, H., Gao, Z., Chen, J., Abraha, M., Scott, R. L., Flerchinger, G. N., Clark, P. E., Stoy, P. C., Khan, A. M., Brookshire, E. N., Zhang, Q., Cook, D. R., Thienelt, T., Mitra, B., Mauritz‐Tozer, M., Tweedie, C. E., Torn, M. S., Billesbach, D. (2025) Coupling Remote Sensing With A Process Model For The Simulation Of Rangeland Carbon Dynamics, Journal Of Advances In Modeling Earth Systems, 17(3), . https://doi.org/10.1029/2024MS004342 |
| 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 |
| 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 | 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 |
| 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 |
| 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 |
| 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. https://doi.org/10.1890/07-1609.1 |
| 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. https://doi.org/10.2136/sssaj2004.0252 |
| 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. https://doi.org/10.1641/0006-3568(2004)054[0895:eocsiu]2.0.co;2 |
| 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. https://doi.org/10.1046/j.1469-8137.2002.00429.x |
| 2002 | Sluis, W. J. (2002) Patterns Of Species Richness And Composition In Re-Created Grassland, Restoration Ecology, 10(4), 677-684. https://doi.org/10.1046/j.1526-100x.2002.01048.x |
| 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. https://doi.org/10.1016/s0038-0717(97)00207-1 |
| 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. https://doi.org/10.1016/0038-0717(95)00159-x |
| 1987 | Jastrow, J. D. (1987) Changes In Soil Aggregation Associated With Tallgrass Prairie Restoration, American Journal Of Botany, 74(11), 1656-1664. https://doi.org/10.2307/2444134 |
US-IB2: Fermi National Accelerator Laboratory- Batavia (Prairie site)
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
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.
- Download BADM for this site*
- View Site General Info for this site (Overview tab)*
- Use Online Editor to update Site General Info or DOI Authorship
- Update information about submitted data (Variable Information tool)
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* 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-IB2: Fermi National Accelerator Laboratory- Batavia (Prairie site)
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
Wind Roses
Wind Speed (m/s)
Navigation
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- Wind Direction Scale (%): Per Site
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