US-Atq: Atqasuk
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Tower_team: | |
PI: | Donatella Zona dzona@mail.sdsu.edu - San Diego State University |
PI: | Walt Oechel woechel@mail.sdsu.edu - San Diego State University |
Lat, Long: | 70.4696, -157.4089 |
Elevation(m): | 15.00 |
Network Affiliations: | AmeriFlux |
Vegetation IGBP: | WET (Permanent Wetlands: Lands with a permanent mixture of water and herbaceous or woody vegetation that cover extensive areas. The vegetation can be present in either salt, brackish, or fresh water) |
Climate Koeppen: | ET (Tundra) |
Mean Annual Temp (°C): | -9.7 |
Mean Annual Precip. (mm): | 93 |
Flux Species Measured: | CO2, H2O, CH4 |
Years Data Collected: | 1999 - Present |
Years Data Available: | AmeriFlux BASE 1999 - 2006 Data Citation |
Data Use Policy: | AmeriFlux Legacy Policy |
Description: | |
URL: | http://gcrg.sdsu.edu |
Research Topics: | |
Acknowledgment: | — |




US-Atq: Atqasuk
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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-Atq data
Data Use Policy: AmeriFlux Legacy Policy
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1246029
Citation: Donatella Zona, Walt Oechel (2016), AmeriFlux BASE US-Atq Atqasuk, Ver. 1-1, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246029
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-Atq: Atqasuk
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This page displays the list of downloads of data for the site US-Atq.
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.
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US-Atq: Atqasuk
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AmeriFlux Images | Add Image |
No photos found matching your search criteria. Check back soon!
US-Atq: Atqasuk
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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-Atq, 70.4696, -157.4089.
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-Atq: Atqasuk
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AmeriFlux Publications | Add Publication |
Year | Publication |
---|---|
2022 | Oehri, J., Schaepman-Strub, G., Kim, J., Grysko, R., Kropp, H., Grünberg, I., Zemlianskii, V., Sonnentag, O., Euskirchen, E. S., Reji Chacko, M., Muscari, G., Blanken, P. D., Dean, J. F., di Sarra, A., Harding, R. J., Sobota, I., Kutzbach, L., Plekhanova, E., Riihelä, A., Boike, J., Miller, N. B., Beringer, J., López-Blanco, E., Stoy, P. C., Sullivan, R. C., Kejna, M., Parmentier, F. W., Gamon, J. A., Mastepanov, M., Wille, C., Jackowicz-Korczynski, M., Karger, D. N., Quinton, W. L., Putkonen, J., van As, D., Christensen, T. R., Hakuba, M. Z., Stone, R. S., Metzger, S., Vandecrux, B., Frost, G. V., Wild, M., Hansen, B., Meloni, D., Domine, F., te Beest, M., Sachs, T., Kalhori, A., Rocha, A. V., Williamson, S. N., Morris, S., Atchley, A. L., Essery, R., Runkle, B. R., Holl, D., Riihimaki, L. D., Iwata, H., Schuur, E. A., Cox, C. J., Grachev, A. A., McFadden, J. P., Fausto, R. S., Göckede, M., Ueyama, M., Pirk, N., de Boer, G., Bret-Harte, M. S., Leppäranta, M., Steffen, K., Friborg, T., Ohmura, A., Edgar, C. W., Olofsson, J., Chambers, S. D. (2022) Vegetation Type Is An Important Predictor Of The Arctic Summer Land Surface Energy Budget, Nature Communications, 13(1), . https://doi.org/10.1038/s41467-022-34049-3 |
2014 | Oechel, Walter. C., Cheryl. A. Laskowski, George. Burba, Beniamino. Gioli, Aram. A. M. Kalhori (2014) Annual patterns and budget of CO2 flux in an Arctic tussock tundra ecosystem, Journal of Geophysical Research: Biogeosciences, 119(3), 323-339. https://doi.org/10.1002/2013JG002431 |
2014 | Oechel, W. C., Laskowski, C. A., Burba, G., Gioli, B., Kalhori, A. A. (2014) Annual Patterns And Budget Of CO2 Flux In An Arctic Tussock Tundra Ecosystem, Journal Of Geophysical Research: Biogeosciences, 119(3), 323-339. https://doi.org/10.1002/2013JG002431 |
2005 | Kwon, H.J., Oechel, W.C., Zulueta, R.C., Hastings, S.J. (2005) Effects Of Climate Variability On Carbon Sequestration Among Adjacent Wet Sedge Tundra And Moist Tussock Tundra Ecosystems, Journal Of Geophysical Research: Biogeosciences, 111(G3), 2005-2012. https://doi.org/10.1029/2005JG000036 |
US-Atq: Atqasuk
- Overview
- Windroses
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- 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)
- More BADM resources
* 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-Atq: Atqasuk
- Overview
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Wind Roses
Wind Speed (m/s)
Navigation
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