US-GLE: GLEES
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| Tower_team: | |
| PI: | Bill Massman william.massman@usda.gov - USDA Forest Service |
| PI: | John Frank john.frank@usda.gov - USDA Forest Service |
| PI: | Rob Hubbard robert.hubbard@usda.gov - USDA Forest Service |
| Lat, Long: | 41.3665, -106.2399 |
| Elevation(m): | 3197 |
| Network Affiliations: | AmeriFlux |
| Vegetation IGBP: | ENF (Evergreen Needleleaf Forests: Lands dominated by woody vegetation with a percent cover >60% and height exceeding 2 meters. Almost all trees remain green all year. Canopy is never without green foliage.) |
| Climate Koeppen: | Dfc (Subarctic: severe winter, no dry season, cool summer) |
| Mean Annual Temp (°C): | 0.80 |
| Mean Annual Precip. (mm): | 1200 |
| Flux Species Measured: | H, H2O, CO2 |
| Years Data Collected: | 2002 - Present |
| Years Data Available: | AmeriFlux BASE 1999 - 2020 Data Citation AmeriFlux FLUXNET 2005 - 2020 Data Citation |
| Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
| Description: | The Glacier Lakes Ecosystem Experiments Site (GLEES) site is located on land owned by the U.S. government and managed by US Forest Service as part of the ... The Glacier Lakes Ecosystem Experiments Site (GLEES) site is located on land owned by the U.S. government and managed by US Forest Service as part of the Medicine Bow National Forest. Many of the trees in the immediate vicinity of the site are older than 400 years, inter-dispersed among trees much younger in age. This widespread age distribution is most likely a derivation of one of two scenarios: 1) A widespread stand replacement about 400 years ago followed by a slow replacement; 2) Intermittent random disturbances over the past 400 years (Bradford et al. 2008). A decade long spruce beetle outbreak that peaked in 2008 resulted in the mortality of 85% of the forested basal area. There are a few private land holdings in the area, with scattered uncorked mining claims. Following the establishment of the National Forest, mining was banned and grazing was closed in the early 1990's in the upper portion of the GLEES site. Recreation in the winter, when snow can remain in patches into the summer months, snow mobiling and cross country skiing are popular. During the limited summer, hiking, camping and fishing are common activities. The site is accessible by vehicle only during the summer on Forest Road FDR 317, and in the winter, the tower is only reachable via snowmobile. See MoreShow Less |
| URL: | https://www.fs.usda.gov/rmrs/experimental-forests-and-ranges/glees-glacier-lakes-ecosystem-experiments-site |
| Research Topics: | The main analytical objectives of the GLEES AmeriFlux site include the flux measurements of momentum, sensible heat, water vapor, latent heat, and CO2 ... The main analytical objectives of the GLEES AmeriFlux site include the flux measurements of momentum, sensible heat, water vapor, latent heat, and CO2 exchange between a sub-alpine forest and the atmosphere. Additional research topics include: 1) examination of the relationship of energy and mass exhanges between the atmosphere and underlying forest ecosystem; 2) ozone depletion; 3) snow hydrology; 4) snow chemistry; 5) nitrogen cycling in sub-alpine forest ecosystems; 6) sub-alpine plant physiology, and 7) the ecosystem response to a spruce beetle outbreak. Recently, significant efforts are being made to quantify the effect of the widespread overstory mortality caused by the spruce beetle (Dendroctonus rufipennis) and the western balsam bark beetle (Dryocoetes confusus). See MoreShow Less |
| 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-GLE: GLEES
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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-GLE 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-GLE data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1246056
Citation: John Frank, Bill Massman (2021), AmeriFlux BASE US-GLE GLEES, Ver. 8-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246056 - AmeriFlux FLUXNET: https://doi.org/10.17190/AMF/1871136
Citation: John Frank, Bill Massman (2022), AmeriFlux FLUXNET-1F US-GLE GLEES, Ver. 3-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1871136
Find global FLUXNET datasets, like FLUXNET2015 and FLUXNET-CH4, and their citation information at fluxnet.org.
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-GLE: GLEES
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This page displays the list of downloads of data for the site US-GLE.
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-GLE: GLEES
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| AmeriFlux Images | Add Image |
US-GLE 2009.US.GLE.SitevisitP7012626
2009.US.GLE.SitevisitP7012626
Keywords: —
Location:
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To download, right-click photo (Mac: control-click) and choose Save Image As
US-GLE 2009.US.GLE.SitevisitP7012624
2009.US.GLE.SitevisitP7012624
Keywords: —
Location:
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US-GLE 2017.USGLE.Sitevisit.IMG_7469
2017.USGLE.Sitevisit.IMG_7469
Keywords: —
Location:
View in Original Size
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US-GLE GLEES, Wyoming, USA
The Glacier Lakes Ecosystems Experiments Site (GLEES), Wyoming, USA with the US-GLE AmeriFlux scaffold in the center left and Rocky Mountain National Park on the southern horizon.
Keywords: US-GLE GLEES Wyoming
Location: Wyoming, United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As
US-GLE: GLEES
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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-GLE, 41.3665, -106.2399.
Click a square in the grid at left to display its data below.
Coordinates for selected GeoNEX Pixel
Graph controls:
- Zoom: click-drag
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- 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-GLE: GLEES
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| AmeriFlux Publications | Add Publication |
| Year | Publication |
|---|---|
| 2024 | Webb, R., Knowles, J., Fox, A., Fabricus, A., Corrie, T., Mooney, K., Gallais, J., Frimpong, N., Akurugu, C., Barron‐Gafford, G., Blanken, P., Burns, S., Frank, J., Litvak, M. (2024) Energy‐Water Asynchrony Principally Determines Water Available For Runoff From Snowmelt In Continental Montane Forests, Hydrological Processes, 38(10), . https://doi.org/10.1002/hyp.15297 |
| 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 |
| 2021 | Burns, S. P., Frank, J. M., Massman, W. J., Patton, E. G., Blanken, P. D. (2021) The Effect Of Static Pressure-Wind Covariance On Vertical Carbon Dioxide Exchange At A Windy Subalpine Forest Site, Agricultural And Forest Meteorology, 306, 108402. https://doi.org/10.1016/j.agrformet.2021.108402 |
| 2020 | Mercer, J. J., Liefert, D. T., Williams, D. G. (2020) Atmospheric Vapour And Precipitation Are Not In Isotopic Equilibrium In A Continental Mountain Environment, Hydrological Processes, . https://doi.org/10.1002/hyp.13775 |
| 2020 | Xu, B., Arain, M. A., Black, T. A., Law, B. E., Pastorello, G. Z., Chu, H. (2020) Seasonal Variability Of Forest Sensitivity To Heat And Drought Stresses: A Synthesis Based On Carbon Fluxes From North American Forest Ecosystems, Global Change Biology, 26(2), 901-918. https://doi.org/10.1111/gcb.14843 |
| 2019 | Sullivan, R. C., Cook, D. R., Ghate, V. P., Kotamarthi, V. R., Feng, Y. (2019) Improved Spatiotemporal Representativeness And Bias Reduction Of Satellite-Based Evapotranspiration Retrievals Via Use Of In Situ Meteorology And Constrained Canopy Surface Resistance, Journal Of Geophysical Research: Biogeosciences, 124(2), 342-352. https://doi.org/10.1029/2018JG004744 |
| 2019 | Sullivan, R. C., Kotamarthi, V. R., Feng, Y. (2019) Recovering Evapotranspiration Trends From Biased CMIP5 Simulations And Sensitivity To Changing Climate Over North America, Journal Of Hydrometeorology, 20(8), 1619-1633. https://doi.org/10.1175/JHM-D-18-0259.1 |
| 2019 | Frank, J. M., Massman, W. J., Ewers, B. E., Williams, D. G. (2019) Bayesian Analyses of 17 Winters of Water Vapor Fluxes Show Bark Beetles Reduce Sublimation, Water Resources Research, 55(2), 1598-1623. https://doi.org/10.1029/2018wr023054 |
| 2019 | Zhang, Q., Ficklin, D. L., Manzoni, S., Wang, L., Way, D., Phillips, R. P., Novick, K. A. (2019) Response Of Ecosystem Intrinsic Water Use Efficiency And Gross Primary Productivity To Rising Vapor Pressure Deficit, Environmental Research Letters, 14(7), 074023. https://doi.org/10.1088/1748-9326/ab2603 |
| 2019 | Novick, K. A., Konings, A. G., Gentine, P. (2019) Beyond Soil Water Potential: An Expanded View On Isohydricity Including Land–Atmosphere Interactions And Phenology, Plant, Cell & Environment, 42(6), 1802-1815. https://doi.org/10.1111/pce.13517 |
| 2018 | Helliker, B. R., Song, X., Goulden, M. L., Clark, K., Bolstad, P., Munger, J. W., Chen, J., Noormets, A., Hollinger, D., Wofsy, S., Martin, T., Baldocchi, D., Euskirchenn, E., Desai, A., Burns, S. P. (2018) Assessing The Interplay Between Canopy Energy Balance And Photosynthesis With Cellulose δ18o: Large-Scale Patterns And Independent Ground-Truthing, Oecologia, . https://doi.org/10.1007/s00442-018-4198-z |
| 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 |
| 2018 | Baldocchi, D., Penuelas, J. (2018) The Physics And Ecology Of Mining Carbon Dioxide From The Atmosphere By Ecosystems, Global Change Biology, . https://doi.org/10.1111/gcb.14559 |
| 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 | Speckman, H. N., Frank, J. M., Bradford, J. B., Miles, B. L., Massman, W. J., Parton, W. J., Ryan, M. G. (2015) Forest Ecosystem Respiration Estimated From Eddy Covariance And Chamber Measurements Under High Turbulence And Substantial Tree Mortality From Bark Beetles, Global Change Biology, 21(2), 708-721. https://doi.org/10.1111/gcb.12731 |
| 2014 | Frank, J. M., Massman, W. J., Ewers, B. E., Huckaby, L. S., Negrón, J. F. (2014) Ecosystem CO2 /H2O Fluxes Are Explained By Hydraulically Limited Gas Exchange During Tree Mortality From Spruce Bark Beetles, Journal Of Geophysical Research: Biogeosciences, 119(6), 1195-1215. https://doi.org/10.1002/2013jg002597 |
| 2008 | Bradford, J. B., Birdsey, R. A., Joyce, L. A., Ryan, M. G. (2008) Tree Age, Disturbance History, And Carbon Stocks And Fluxes In Subalpine Rocky Mountain Forests, Global Change Biology, 14(12), 2882-2897. https://doi.org/10.1111/j.1365-2486.2008.01686.x |
| 2005 | Del Grosso, S., Parton, W., Mosier, A., Holland, E., Pendall, E., Schimel, D., Ojima, D. (2005) Modeling Soil CO2 Emissions From Ecosystems, Biogeochemistry, 73(1), 71-91. https://doi.org/10.1007/s10533-004-0898-z |
| 2005 | Arain, M. A., Restrepo-Coupe, N. (2005) Net Ecosystem Production In A Temperate Pine Plantation In Southeastern Canada, Agricultural And Forest Meteorology, 128(3-4), 223-241. https://doi.org/10.1016/j.agrformet.2004.10.003 |
| 2000 | Zeller, K., Nikolov, N. (2000) Quantifying Simultaneous Fluxes Of Ozone, Carbon Dioxide And Water Vapor Above A Subalpine Forest Ecosystem, Environmental Pollution, 107(1), 1-20. https://doi.org/10.1016/s0269-7491(99)00156-6 |
| 2000 | McDowell, N. G., Marshall, J. D., Hooker, T. D., Musselman, R. (2000) Estimating CO2 Flux From Snowpacks At Three Sites In The Rocky Mountains, Tree Physiology, 20(11), 745-753. https://doi.org/10.1093/treephys/20.11.745 |
US-GLE: GLEES
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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-GLE: GLEES
- Overview
- Windroses
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- Data Use Log
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Wind Roses
Wind Speed (m/s)
Navigation
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- Wind Direction Scale (%): Per Site
- Wind Speed Scale: Non-Linear
- Wind Direction Scale (%): AmeriFlux