US-WCr: Willow Creek
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
Tower_team: | |
PI: | Ankur Desai desai@aos.wisc.edu - University of Wisconsin |
FluxContact: | Jonathan Thom jthom@ssec.wisc.edu - University of Wisconsin |
Lat, Long: | 45.8059, -90.0799 |
Elevation(m): | 520.00 |
Network Affiliations: | AmeriFlux, Phenocam |
Vegetation IGBP: | DBF (Deciduous Broadleaf Forests: Lands dominated by woody vegetation with a percent cover >60% and height exceeding 2 meters. Consists of broadleaf tree communities with an annual cycle of leaf-on and leaf-off periods.) |
Climate Koeppen: | Dfb (Warm Summer Continental: significant precipitation in all seasons ) |
Mean Annual Temp (°C): | 4.02 |
Mean Annual Precip. (mm): | 787 |
Flux Species Measured: | CO2, H, H2O |
Years Data Collected: | 1999 - Present |
Years Data Available: | AmeriFlux BASE 1998 - 2024 Data Citation |
Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
Description: | Upland decduous broadleaf forest. Mainly sugar maple, also basswood. Uniform stand atop a very modest hill. Clearcut approximately 80 years ago. Chosen ... Upland decduous broadleaf forest. Mainly sugar maple, also basswood. Uniform stand atop a very modest hill. Clearcut approximately 80 years ago. Chosen to be representative of the upland deciduous broadleaf forests within the WLEF tall tower flux footprint. It appears to be more heavily forested and more productive than most of the upland deciduous broadleaf forests in the WLEF flux footprint (see publications for more details). It is also important that SE winds are screened from the flux data (see Cook et al, 2004 for details). Propane generator power. See MoreShow Less |
URL: | http://flux.aos.wisc.edu/twiki/bin/view/Main/ChEASData |
Research Topics: | The research and science objectives of the Willow Creek site are as follows: 1) Continuously measure the turbulent fluxes of carbon, water vapor, and temperature ... The research and science objectives of the Willow Creek site are as follows: 1) Continuously measure the turbulent fluxes of carbon, water vapor, and temperature above an upland deciduous forest; 2) Quantify the differential impact of environmental drivers, radiation, and vapor pressure deficit in an upland forest; 3) Determine the key driver, radiation or vapor pressure deficit, of flux data for each tower year, and on the basis of this analysis apply the appropriate model to help explain observed intersite, interannual, and interseasonal variation in evapotranspiration; 4) Contribute to cross-site comparisons of biometric estimates of annual carbon storage to assess the viability of a synthesis that could provide an independant constraint on meteorologically based estimates of the same variable. (Mackay et al. (2007); Cook et al. (2004); Curtis et al. (2002)) 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.




Copyright preference: Open use
US-WCr: Willow Creek
- 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-WCr 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-WCr data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1246111
Citation: Ankur Desai (2024), AmeriFlux BASE US-WCr Willow Creek, Ver. 31-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246111
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
- —
Acknowledgments
- —
Resources
- AmeriFlux Logos & Acknowledgments
US-WCr: Willow Creek
- 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-WCr.
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 |
---|
Date | Name | Data Product | Vers. | Intended Use | Intended Use Description | Download Count |
---|---|---|---|---|---|---|
Showing 0 to 0 of 0 results
Not Found
Uh Oh. Something is missing. Try double checking the URL and try again.
US-WCr: Willow Creek
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
AmeriFlux Images | Add Image |

2013.US.WCr.sitevisit.DSC_0060
2013.US.WCr.sitevisit.DSC_0060
Keywords: —
Location: United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

Wind River AmeriFlux canopy hut
Keywords: —
Location: Washington, United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

Willow Creek Tower from under canopy
Willow Creek Tower from under canopy
Keywords: Willow Creek Tower, ChEAS
Location: Wisconsin, United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

Willow Creek LI7200RS new box install
Installation of the new data logger and LI7550 and LI7200 pump boxes. Old pump box at top will be removed in the future.
Keywords: WillowCreek, US-WCr, LI7200, tower
Location: Wisconsin, United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

Willow Creek LI7200RS installation
New installation of the Licor LI7200 RS system at Willow Creek (US-WCr)
Keywords: US-WCr, WillowCreek, Flux, Licor, LI-7200RS
Location: Wisconsin, United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

Tower fun!
Jonathan Thom at Willow Creek.
Keywords: forest, tower, US-WCr
Location: Wisconsin, United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

Willow Creek Tower and shed
Keywords: —
Location: Wisconsin, United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As
US-WCr: Willow Creek
- 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 .
PhenoCam sites for US-WCr:
Use the links below to explore camera images and interactive timeseries for these sites.
Citation:
B. Seyednasrollah, A. M. Young, K. Hufkens, T. Milliman, M. A. Friedl, S. Frolking, and A. D. Richardson. Tracking vegetation phenology across diverse biomes using version 2.0 of the phenocam dataset. Scientific Data, 6(1):222, 2019. doi:10.1038/s41597-019-0229-9Camera Imagery
Milliman, T., B. Seyednasrollah, A.M. Young, K. Hufkens, M.A. Friedl, S. Frolking, A.D. Richardson, M. Abraha, D.W. Allen, M. Apple, M.A. Arain, J.M. Baker, D. Baldocchi, C.J. Bernacchi, J. Bhattacharjee, P. Blanken, D.D. Bosch, R. Boughton, E.H. Boughton, R.F. Brown, D.M. Browning, N. Brunsell, S.P. Burns, M. Cavagna, H. Chu, P.E. Clark, B.J. Conrad, E. Cremonese, D. Debinski, A.R. Desai, R. Diaz-Delgado, L. Duchesne, A.L. Dunn, D.M. Eissenstat, T. El-Madany, D.S.S. Ellum, S.M. Ernest, A. Esposito, L. Fenstermaker, L.B. Flanagan, B. Forsythe, J. Gallagher, D. Gianelle, T. Griffis, P. Groffman, L. Gu, J. Guillemot, M. Halpin, P.J. Hanson, D. Hemming, A.A. Hove, E.R. Humphreys, A. Jaimes-Hernandez, A.A. Jaradat, J. Johnson, E. Keel, V.R. Kelly, J.W. Kirchner, P.B. Kirchner, M. Knapp, M. Krassovski, O. Langvall, G. Lanthier, G.l. Maire, E. Magliulo, T.A. Martin, B. McNeil, G.A. Meyer, M. Migliavacca, B.P. Mohanty, C.E. Moore, R. Mudd, J.W. Munger, Z.E. Murrell, Z. Nesic, H.S. Neufeld, W. Oechel, A.C. Oishi, W.W. Oswald, T.D. Perkins, M.L. Reba, B. Rundquist, B.R. Runkle, E.S. Russell, E.J. Sadler, A. Saha, N.Z. Saliendra, L. Schmalbeck, M.D. Schwartz, R.L. Scott, E.M. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, J.E. Thom, R.Q. Thomas, A.K. Van den berg, R. Vargas, J. Verfaillie, C.S. Vogel, J.J. Walker, N. Webb, P. Wetzel, S. Weyers, A.V. Whipple, T.G. Whitham, G. Wohlfahrt, J.D. Wood, J. Yang, X. Yang, G. Yenni, Y. Zhang, Q. Zhang, and D. Zona. 2019. PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1689
Green Chromatic Coordinate Time Series
Seyednasrollah, B., A.M. Young, K. Hufkens, T. Milliman, M.A. Friedl, S. Frolking, A.D. Richardson, M. Abraha, D.W. Allen, M. Apple, M.A. Arain, J. Baker, J.M. Baker, D. Baldocchi, C.J. Bernacchi, J. Bhattacharjee, P. Blanken, D.D. Bosch, R. Boughton, E.H. Boughton, R.F. Brown, D.M. Browning, N. Brunsell, S.P. Burns, M. Cavagna, H. Chu, P.E. Clark, B.J. Conrad, E. Cremonese, D. Debinski, A.R. Desai, R. Diaz-Delgado, L. Duchesne, A.L. Dunn, D.M. Eissenstat, T. El-Madany, D.S.S. Ellum, S.M. Ernest, A. Esposito, L. Fenstermaker, L.B. Flanagan, B. Forsythe, J. Gallagher, D. Gianelle, T. Griffis, P. Groffman, L. Gu, J. Guillemot, M. Halpin, P.J. Hanson, D. Hemming, A.A. Hove, E.R. Humphreys, A. Jaimes-Hernandez, A.A. Jaradat, J. Johnson, E. Keel, V.R. Kelly, J.W. Kirchner, P.B. Kirchner, M. Knapp, M. Krassovski, O. Langvall, G. Lanthier, G.l. Maire, E. Magliulo, T.A. Martin, B. McNeil, G.A. Meyer, M. Migliavacca, B.P. Mohanty, C.E. Moore, R. Mudd, J.W. Munger, Z.E. Murrell, Z. Nesic, H.S. Neufeld, T.L. O'Halloran, W. Oechel, A.C. Oishi, W.W. Oswald, T.D. Perkins, M.L. Reba, B. Rundquist, B.R. Runkle, E.S. Russell, E.J. Sadler, A. Saha, N.Z. Saliendra, L. Schmalbeck, M.D. Schwartz, R.L. Scott, E.M. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, J.E. Thom, R.Q. Thomas, A.K. Van den berg, R. Vargas, J. Verfaillie, C.S. Vogel, J.J. Walker, N. Webb, P. Wetzel, S. Weyers, A.V. Whipple, T.G. Whitham, G. Wohlfahrt, J.D. Wood, S. Wolf, J. Yang, X. Yang, G. Yenni, Y. Zhang, Q. Zhang, and D. Zona. 2019. PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1674
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 US-WCr, 45.8059, -90.0799.
Click a square in the grid at left to display its data below.
Coordinates for selected GeoNEX Pixel
Lat: 45.8300 Long: -90.1000
US-WCr
Graph controls:
- Zoom: click-drag
- Pan: shift-click-drag
- Restore zoom level: double-click
- 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: Lat: 45.8300 Long: -90.1000
NIRv Near-Infrared Reflectance of vegetation
Resolution: 0.01° x 0.01° & 10 minutes
Coordinates for pixel: Lat: 45.8300 Long: -90.1000
DSR: Surface downward shortwave radiation
Resolution: 0.01° x 0.01° & Hourly
Coordinates for pixel: Lat: 45.8300 Long: -90.1000
LST: Land Surface Temperature
Resolution: 0.02° x 0.02° & Hourly
Coordinates for pixel: Lat: 45.8200 Long: -90.1000
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-WCr: Willow Creek
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
AmeriFlux Publications | Add Publication |
Year | Publication |
---|---|
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 | 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 | 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 | 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 | Besnard, S., Carvalhais, N., Arain, M. A., Black, A., de Bruin, S., Buchmann, N., Cescatti, A., Chen, J., Clevers, J. G., Desai, A. R., Gough, C. M., Havrankova, K., Herold, M., Hörtnagl, L., Jung, M., Knohl, A., Kruijt, B., Krupkova, L., Law, B. E., Lindroth, A., Noormets, A., Roupsard, O., Steinbrecher, R., Varlagin, A., Vincke, C., Reichstein, M. (2018) Quantifying The Effect Of Forest Age In Annual Net Forest Carbon Balance, Environmental Research Letters, 13(12), 124018. https://doi.org/10.1088/1748-9326/aaeaeb |
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, 187(4), 995-1007. https://doi.org/10.1007/s00442-018-4198-z |
2016 | Whelan, M. E., Hilton, T. W., Berry, J. A., Berkelhammer, M., Desai, A. R., Campbell, J. E. (2016) Carbonyl Sulfide Exchange In Soils For Better Estimates Of Ecosystem Carbon Uptake, Atmospheric Chemistry And Physics, 16(6), 3711-3726. https://doi.org/10.5194/acp-16-3711-2016 |
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 | Phillips, C. L., McFarlane, K. J., LaFranchi, B., Desai, A. R., Miller, J. B., Lehman, S. J. (2015) Observations of 14CO2 In Ecosystem Respiration From A Temperate Deciduous Forest In Northern Wisconsin, Journal Of Geophysical Research: Biogeosciences, 120(4), 600-616. https://doi.org/10.1002/2014jg002808 |
2014 | Matheny, A. M., Bohrer, G., Stoy, P. C., Baker, I. T., Black, A. T., Desai, A. R., Dietze, M. C., Gough, C. M., Ivanov, V. Y., Jassal, R. S., Novick, K. A., Schäfer, K. V., Verbeeck, H. (2014) Characterizing The Diurnal Patterns of Errors in The Prediction of Evapotranspiration by Several Land-Surface Models: An Nacp Analysis, Journal Of Geophysical Research: Biogeosciences, 119(7), 1458-1473. https://doi.org/10.1002/2014JG002623 |
2013 | Phillips, C., McFarlane, K.J., Risk, D., Desai, A.R. (2013) Biological And Physical Influences On Soil 14CO2 Seasonal Dynamics In A Temperate Hardwood Forest, Biogeosciences, 10(12), 7999-8012. https://doi.org/10.5194/bg-10-7999-2013 |
2013 | Keenan, T. F., Hollinger, D. Y., Bohrer, G., Dragoni, D., Munger, J. W., Schmid, H. P., Richardson, A. D. (2013) Increase In Forest Water-Use Efficiency As Atmospheric Carbon Dioxide Concentrations Rise, Nature, 499(7458), 324-327. https://doi.org/10.1038/nature12291 |
2013 | Barr, A., Richardson, A., Hollinger, D., Papale, D., Arain, M., Black, T., Bohrer, G., Dragoni, D., Fischer, M., Gu, L., Law, B., Margolis, H., McCaughey, J., Munger, J., Oechel, W., Schaeffer, K. (2013) Use Of Change-Point Detection For Friction–Velocity Threshold Evaluation In Eddy-Covariance Studies, Agricultural And Forest Meteorology, 171-172, 31-45. https://doi.org/10.1016/j.agrformet.2012.11.023 |
2012 | Richardson, A. D., Anderson, R. S., Arain, M. A., Barr, A. G., Bohrer, G., Chen, G., Chen, J. M., Ciais, P., Davis, K. J., Desai, A. R., Dietze, M. C., Dragoni, D., Garrity, S. R., Gough, C. M., Grant, R., Hollinger, D. Y., Margolis, H. A., McCaughey, H., Migliavacca, M., Monson, R. K., Munger, J. W., Poulter, B., Raczka, B. M., Ricciuto, D. M., Sahoo, A. K., Schaefer, K., Tian, H., Vargas, R., Verbeeck, H., Xiao, J., Xue, Y. (2012) Terrestrial Biosphere Models Need Better Representation Of Vegetation Phenology: Results From The North American Carbon Program Site Synthesis, Global Change Biology, 18(2), 566-584. https://doi.org/10.1111/j.1365-2486.2011.02562.x |
2010 | Desai, A.R. (2010) Climatic And Phenological Controls On Coherent Regional Interannual Variability Of Carbon Dioxide Flux In A Heterogeneous Landscape, Journal Of Geophysical Research, 115(G00J02), n/a-n/a. https://doi.org/10.1029/2010JG001423 |
2008 | Desai, A. R., Noormets, A., Bolstad, P. V., Chen, J., Cook, B. D., Davis, K. J., Euskirchen, E. S., Gough, C., Martin, J. G., Ricciuto, D. M., Schmid, H. P., Tang, J., Wang, W. (2008) Influence Of Vegetation And Seasonal Forcing On Carbon Dioxide Fluxes Across The Upper Midwest, Usa: Implications For Regional Scaling, Agricultural And Forest Meteorology, 148(2), 288-308. https://doi.org/10.1016/j.agrformet.2007.08.001 |
2005 | Desai, A. R., Bolstad, P. V., Cook, B. D., Davis, K. J., Carey, E. V. (2005) Comparing Net Ecosystem Exchange Of Carbon Dioxide Between An Old-Growth And Mature Forest In The Upper Midwest, Usa, Agricultural And Forest Meteorology, 128(1-2), 33-55. https://doi.org/10.1016/j.agrformet.2004.09.005 |
2005 | Hibbard, K. A., Law, B. E., Reichstein, M., Sulzman, J. (2005) An Analysis Of Soil Respiration Across Northern Hemisphere Temperate Ecosystems, Biogeochemistry, 73(1), 29-70. https://doi.org/10.1007/s10533-004-2946-0 |
2005 | Martin, J. G., Bolstad, P. V. (2005) Annual Soil Respiration In Broadleaf Forests Of Northern Wisconsin: Influence Of Moisture And Site Biological, Chemical, And Physical Characteristics, Biogeochemistry, 73(1), 149-182. https://doi.org/10.1007/s10533-004-5166-8 |
2004 | Yi, C., Li, R., Bakwin, P. S., Desai, A., Ricciuto, D. M., Burns, S. P., Turnipseed, A. A., Wofsy, S. C., Munger, J. W., Wilson, K., Monson, R. K. (2004) A Nonparametric Method For Separating Photosynthesis And Respiration Components In CO2 Flux Measurements, Geophysical Research Letters, 31(17), n/a-n/a. https://doi.org/10.1029/2004gl020490 |
2004 | Yi, C., Davis, K. J., Bakwin, P. S., Denning, A. S., Zhang, N., Desai, A., Lin, J. C., Gerbig, C. (2004) Observed Covariance Between Ecosystem Carbon Exchange And Atmospheric Boundary Layer Dynamics At A Site In Northern Wisconsin, Journal Of Geophysical Research: Atmospheres, 109(D8), n/a-n/a. https://doi.org/10.1029/2003jd004164 |
2004 | Bakwin, P. S., Davis, K. J., Yi, C., Wofsy, S. C., Munger, J. W., Haszpra, L., Barcza, Z. (2004) Regional Carbon Dioxide Fluxes From Mixing Ratio Data, Tellus Series B-Chemical and Physical Meteorology, 56(4), 301-311. https://doi.org/10.3402/tellusb.v56i4.16446 |
2004 | Bolstad, P. V., Davis, K. J., Martin, J., Cook, B. D., Wang, W. (2004) Component And Whole-System Respiration Fluxes In Northern Deciduous Forests, Tree Physiology, 24(5), 493-504. https://doi.org/10.1093/treephys/24.5.493 |
2004 | Cook, B. D., Davis, K. J., Wang, W., Desai, A., Berger, B. W., Teclaw, R. M., Martin, J. G., Bolstad, P. V., Bakwin, P. S., Yi, C., Heilman, W. (2004) Carbon Exchange And Venting Anomalies In An Upland Deciduous Forest In Northern Wisconsin, USA, Agricultural And Forest Meteorology, 126(3-4), 271-295. https://doi.org/10.1016/j.agrformet.2004.06.008 |
2003 | Baker, I., Denning, A. S., Hanan, N., Prihodko, L., Uliasz, M., Vidale, P., Davis, K., Bakwin, P. (2003) Simulated And Observed Fluxes Of Sensible And Latent Heat And CO2 At The WLEF-TV Tower Using SiB2.5, Global Change Biology, 9(9), 1262-1277. https://doi.org/10.1046/j.1365-2486.2003.00671.x |
2003 | Werner, C., Davis, K., Bakwin, P., Yi, C., Hurst, D., Lock, L. (2003) Regional-Scale Measurements Of CH4 Exchange From A Tall Tower Over A Mixed Temperate/Boreal Lowland And Wetland Forest, Global Change Biology, 9(9), 1251-1261. https://doi.org/10.1046/j.1365-2486.2003.00670.x |
2003 | Davis, K. J., Bakwin, P. S., Yi, C., Berger, B. W., Zhao, C., Teclaw, R. M., Isebrands, J. G. (2003) The Annual Cycles Of CO2 And H2O Exchange Over A Northern Mixed Forest As Observed From A Very Tall Tower, Global Change Biology, 9(9), 1278-1293. https://doi.org/10.1046/j.1365-2486.2003.00672.x |
2003 | Scott Denning, A., Nicholls, M., Prihodko, L., Baker, I., Vidale, P., Davis, K., Bakwin, P. (2003) Simulated Variations In Atmospheric CO2 Over A Wisconsin Forest Using A Coupled Ecosystem-Atmosphere Model, Global Change Biology, 9(9), 1241-1250. https://doi.org/10.1046/j.1365-2486.2003.00613.x |
2002 | Curtis, P. S., Hanson, P. J., Bolstad, P., Barford, C., Randolph, J., Schmid, H., Wilson, K. B. (2002) Biometric And Eddy-Covariance Based Estimates Of Annual Carbon Storage In Five Eastern North American Deciduous Forests, Agricultural And Forest Meteorology, 113(1-4), 3-19. https://doi.org/10.1016/s0168-1923(02)00099-0 |
2001 | Potter, B. E., Teclaw, R. M., Zasada, J. C. (2001) The Impact Of Forest Structure On Near-Ground Temperatures During Two Years Of Contrasting Temperature Extremes, Agricultural And Forest Meteorology, 106(4), 331-336. https://doi.org/10.1016/s0168-1923(00)00220-3 |
US-WCr: Willow Creek
- 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-WCr: Willow Creek
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
Wind Roses
Wind Speed (m/s)
Navigation
- Wind Speed Scale: Per Site
- Wind Direction Scale (%): Per Site
- Wind Speed Scale: Non-Linear
- Wind Direction Scale (%): AmeriFlux