US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

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Tower_team:
PI:	Bhupendra A Raut braut@anl.gov - Argonne National Laboratory
PI:	Sujan Pal spal@anl.gov - Argonne National Laboratory
AncContact:	Matt Tuftedal mtuftedal@anl.gov - Argonne National Laboratory
FluxContact:	Paytsar Muradyan pmuradyan@anl.gov - Argonne National Laboratory
BADMContact:	Joe O'brien obrienj@anl.gov - Argonne National Laboratory
Lat, Long:	41.7015, -87.9953
Elevation(m):	228
Network Affiliations:	AmeriFlux
Vegetation IGBP:	OSH (Open Shrublands: Lands with woody vegetation less than 2 meters tall and with shrub canopy cover between 10-60%. The shrub foliage can be either evergreen or deciduous.)
Climate Koeppen:	Dfa (Humid Continental: humid with severe winter, no dry season, hot summer)
Mean Annual Temp (°C):	11.2
Mean Annual Precip. (mm):	889
Flux Species Measured:	CO2, H, H2O
Years Data Collected:	2025 - Present
Years Data Available:	No data available
Data Use Policy:	AmeriFlux CC-BY-4.0 Policy¹
Description:	ATMOS is a 20-acre open-air environmental observational facility located on the southwestern boundary of Argonne National Laboratory. The site spans a ... ATMOS is a 20-acre open-air environmental observational facility located on the southwestern boundary of Argonne National Laboratory. The site spans a heterogeneous landscape of restored prairie, disturbed grassland, and forest margins. See More Show Less
URL:	https://www.anl.gov/evs/atmos
Research Topics:	The site features a 60 m meteorological tower, operational since the 1989, along with flux, lidar, and micro rain radar systems that monitor atmospheric ... The site features a 60 m meteorological tower, operational since the 1989, along with flux, lidar, and micro rain radar systems that monitor atmospheric conditions, air quality, and surface, atmosphere exchanges. Distributed rain and snow gauges, radiometers, soil moisture probes, and trace-gas sensors complement a suite of remote sensing instruments observing key meteorological variables. Located near Argonne’s high-performance computing and data science facilities, ATMOS enables real-time integration of field measurements with AI-driven environmental modeling. See More Show Less
Acknowledgment:	The work of Argonne National Laboratory is supported by the U.S. Department of Energy under contract DE-AC02-06CH11357 and U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research’s Urban Integrated Field Laboratories CROCUS project research activity, under Contract Number DE-AC02- 06CH11357.

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US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

Overview
Windroses
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Remote Sensing Data
- MODIS
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Use the information below for citation of this site. See the Data Policy page for more details.

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US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

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Image Gallery
Remote Sensing Data
- MODIS
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This page displays the list of downloads of data for the site {{siteId}}.

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US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

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US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

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MODIS NDVI

The time series shows the 16-day Normalized Difference Vegetation Index (NDVI) average from the MOD13Q1 data product.
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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

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.

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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 .

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GeoNEX 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 .

No GeoNEX data have been received for site US-CU4.

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.

GeoNEX Surface Downward Solar Radiation (DSR):

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.

GeoNEX Land Surface Temperature (LST):

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-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

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US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

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US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

Overview
Windroses
Data Citation
Data Use Log
Image Gallery
Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
Publications
BADM

US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

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US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

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US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

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US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

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US-CU4: Argonne Testbed for Multiscale Observational Science (ATMOS)

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