US-GLE: GLEES
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: | |
URL: | https://www.fs.usda.gov/rmrs/experimental-forests-and-ranges/glees-glacier-lakes-ecosystem-experiments-site |
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.
Copyright preference: Request for permission
US-GLE: GLEES
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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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 | Vers. | Intended Use | Intended Use Description | Download Count |
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US-GLE: GLEES
AmeriFlux Publications | Add Publication |
Year | Publication |
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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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 | 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 | 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 |
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 |
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 | 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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
US-GLE: GLEES
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.
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US-GLE: GLEES
Wind Roses
Wind Speed (m/s)
- Wind Speed Scale: Per Site
- Wind Direction Scale (%): Per Site
- Wind Speed Scale: Non-Linear
- Wind Direction Scale (%): AmeriFlux