US-CAK: Council Alaska Tundra
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Tower_team: | |
PI: | Kyle Arndt karndt@woodwellclimate.org - Woodwell Climate Research Center |
PI: | Susan Natali snatali@woodwellclimate.org - Woodwell Climate Research Center |
Technician: | Patrick Murphy pmurphy@woodwellclimate.org - Woodwell Climate Research Center |
Lat, Long: | 64.8618, -163.7002 |
Elevation(m): | 35 |
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: | ET (Tundra) |
Mean Annual Temp (°C): | — |
Mean Annual Precip. (mm): | — |
Flux Species Measured: | CO2, CH4, H, H2O |
Years Data Collected: | 2024 - Present |
Years Data Available: | AmeriFlux BASE 2024 Data Citation |
Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
Description: | Subarctic tussock tundra, discontinuous permafrost |
URL: | — |
Research Topics: | Carbon flux, energy balance |
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.




Copyright preference: As long as credit is given
US-CAK: Council Alaska Tundra
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
Use the information below for citation of this site. See the Data Policy page for more details.
DOI(s) for citing US-CAK 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-CAK data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/2563532
Citation: Kyle Arndt, Susan Natali (2025), AmeriFlux BASE US-CAK Council Alaska Tundra, Ver. 1-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/2563532
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-CAK: Council Alaska Tundra
- 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-CAK.
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 |
---|---|---|---|---|---|---|
2025-06-09 | Lu Yang | AmeriFlux BASE | 1-5 | Education (Teacher or Student) | ET | 9 |
2025-06-06 | zhang zhaoyang | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | analyze the impact of fire | 1 |
2025-06-05 | (unknown user_id) | AmeriFlux BASE | 1-5 | Education (Teacher or Student) | study | 2 |
2025-06-04 | Sungyoon Kim | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | For land-atmosphere studies with AmeriFLUX | 1 |
2025-06-03 | Ulrike Egerer | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | Compare to model results | 1 |
2025-06-03 | Wolfram Schlenker | AmeriFlux BASE | 1-5 | Research - Other | CO2 and agricultural yields | 3 |
2025-05-29 | Ding Lei | AmeriFlux BASE | 1-5 | Research - Remote sensing | compare LUE models | 1 |
2025-05-28 | Bokyung Son | AmeriFlux BASE | 1-5 | Research - Remote sensing | Developing remote sensing-based carbon flux data, validation of data-driven flux. | 1 |
2025-05-27 | yong liu | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | For model validation results | 2 |
2025-05-26 | WANG SHAOYU | AmeriFlux BASE | 1-5 | Research - Remote sensing | research | 1 |
2025-05-26 | luo jing | AmeriFlux BASE | 1-5 | Other | 毕业设计 | 1 |
2025-05-25 | wenhan lv | AmeriFlux BASE | 1-5 | Research - Remote sensing | use to research | 1 |
2025-05-25 | Zhang teng | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | It is used for conducting scientific research related to evapotranspiration | 2 |
2025-05-25 | wenhan lv | AmeriFlux BASE | 1-5 | Research - Remote sensing | use to research | 1 |
2025-05-21 | Yulissa Perez Rojas | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | modeling soil respiration based on swc and ts | 4 |
2025-05-21 | Kai Del Regno | AmeriFlux BASE | 1-5 | Research - Remote sensing | deep learning for carbon flux estimation | 1 |
2025-05-18 | Belachew Beyene Alem | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | I intended to use this data for my PhD research. | 2 |
2025-05-18 | Brennan O'Rear | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | I am using these to propose an efficiency metric by which to gauge the process by which systems transform energy into structured information. | 2 |
2025-05-16 | Bryn Morgan | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | Soil moisture analysis | 3 |
2025-05-15 | Lei Ma | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | benchmark process-based models | 1 |
2025-05-13 | Lei Ma | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | benchmark process-based models | 2 |
2025-05-12 | Zhou Ying | AmeriFlux BASE | 1-5 | Education (Teacher or Student) | Study and analyse the ecosystem carbon-water cycle process and impact mechanism | 3 |
2025-05-09 | David Ketchum | AmeriFlux BASE | 1-5 | Research - Remote sensing | My name is David Ketchum, I''m a researcher at University of Montana, USA. I''m working on an application of remote sensing to agricultural field hydrology models, and I''m using eddy covariance data to validate my work. So far I have used USGS SSEBop over the conterminous United States, and the OpenET ensemble model over the western United States. Next, I''m using the NASA PT-JPL model over agricultural sites in several countries around the world. | 2 |
2025-05-07 | Yezhe Wang | AmeriFlux BASE | 1-5 | Research - Remote sensing | for my reserch | 1 |
2025-05-07 | Shalini B | AmeriFlux BASE | 1-5 | Research - Other | I want sub hourly data of streamflow , precipitation and temperature | 1 |
2025-05-06 | Yang Junming | AmeriFlux BASE | 1-5 | Research - Remote sensing | To validation the ET model | 1 |
2025-05-06 | yonghua zhao | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | Comparative study | 1 |
2025-05-06 | Shaoti Sui | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | Building the LUE_max map over the globe. | 3 |
2025-05-05 | yutu zhi123456 | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | calculate leaf to air temperature difference | 1 |
2025-05-05 | Michael Barlage | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | Evaluation of land surface models in MPAS environmental prediction system | 1 |
2025-05-05 | Sibyll Schaphoff | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | LPJmL validation | 2 |
2025-05-04 | Haini Wang | AmeriFlux BASE | 1-5 | Education (Teacher or Student) | To do research on climate change | 2 |
2025-05-02 | Ali Radman | AmeriFlux BASE | 1-5 | Research - Remote sensing | As a PhD student in remote sensing, I intend to use valuable EC CH4 measurements collected by AMERIFLUX for research purposes. | 1 |
Date | Name | Data Product | Vers. | Intended Use | Intended Use Description | Download Count |
---|---|---|---|---|---|---|
2025-06-09 | Lu Yang | AmeriFlux BASE | 1-5 | Education (Teacher or Student) | ET | 9 |
2025-06-06 | zhang zhaoyang | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | analyze the impact of fire | 1 |
2025-06-05 | (unknown user_id) | AmeriFlux BASE | 1-5 | Education (Teacher or Student) | study | 2 |
2025-06-04 | Sungyoon Kim | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | For land-atmosphere studies with AmeriFLUX | 1 |
2025-06-03 | Ulrike Egerer | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | Compare to model results | 1 |
2025-06-03 | Wolfram Schlenker | AmeriFlux BASE | 1-5 | Research - Other | CO2 and agricultural yields | 3 |
2025-05-29 | Ding Lei | AmeriFlux BASE | 1-5 | Research - Remote sensing | compare LUE models | 1 |
2025-05-28 | Bokyung Son | AmeriFlux BASE | 1-5 | Research - Remote sensing | Developing remote sensing-based carbon flux data, validation of data-driven flux. | 1 |
2025-05-27 | yong liu | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | For model validation results | 2 |
2025-05-26 | WANG SHAOYU | AmeriFlux BASE | 1-5 | Research - Remote sensing | research | 1 |
Showing 1 to 10 of 33 results
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US-CAK: Council Alaska Tundra
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
AmeriFlux Images | Add Image |

Council Alaska
Keywords: —
Location: Alaska, United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As
US-CAK: Council Alaska Tundra
- 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-CAK, 64.8618, -163.7002.
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-CAK: Council Alaska Tundra
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
AmeriFlux Publications | Add Publication |
US-CAK: Council Alaska Tundra
- 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)
- 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-CAK: Council Alaska Tundra
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM