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US-Los: Lost Creek

Tower_team:
PI: Ankur Desai desai@aos.wisc.edu - University of Wisconsin
FluxContact: Jonathan Thom jthom@ssec.wisc.edu - University of Wisconsin
Lat, Long: 46.0827, -89.9792
Elevation(m): 480.00
Network Affiliations: AmeriFlux, Phenocam
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: Dfb (Warm Summer Continental: significant precipitation in all seasons )
Mean Annual Temp (°C): 4.08
Mean Annual Precip. (mm): 828
Flux Species Measured: CO2, H, H2O, CH4
Years Data Collected: AmeriFlux: 2001 - Present
Description:
Shrub wetland site, chosen to be representative of the wetlands within the WLEF tall tower flux footprint. This is a deciduous shrub wetland. Coniferous ...
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URL: http://flux.aos.wisc.edu/twiki/bin/view/Main/ChEASData
Research Topics:
The research topics and objectives for the Lost Creek site include the following: 1) Quantify the differential impact of environmental drivers, radiation, ...
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Acknowledgment: —
Site Photo More Site Images
Image Credit:
Copyright preference: Request for permission
Site Publication More Site Publications

US-Los: Lost Creek

Instructions for DOIs for This Site

When using DOIs for this site, use the publications and acknowledgments listed below.

DOIs

Publications to use for Citations for this Site

    —

Acknowledgements

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Resources

US-Los: Lost Creek

This page displays the list of downloads of data for the site {{siteId}}.

NOTE: Version refers to the version of the AmeriFlux BASE-BADM product for the site was downloaded by the user and the download count indicates the number of times the person downloaded that version. The download count indicates the number of times the person downloaded the data.

Year Range
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US-Los: Lost Creek

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.

Includes all pixels that have acceptable quality

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. MODIS and VIIRS Land Products Fixed Sites Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1567

Read more on how to cite these MODIS products. Data come from NASA’s MODIS instruments installed on satellites Terra and Aqua, which scan the entire Earth’s surface every one to two days.

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.

US-Los: Lost Creek

Year Publication
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.
2018 Reed, D. E., Frank, J. M., Ewers, B. E., Desai, A. R. (2018) Time Dependency Of Eddy Covariance Site Energy Balance, Agricultural And Forest Meteorology, 249, 467-478.
2018 Pugh, C. A., Reed, D. E., Desai, A. R., Sulman, B. N. (2018) Wetland Flux Controls: How Does Interacting Water Table Levels And Temperature Influence Carbon Dioxide And Methane Fluxes In Northern Wisconsin?, Biogeochemistry, 137(1-2), 15-25.
2019 Bechtold, M., De Lannoy, G. J., Koster, R. D., Reichle, R. H., Mahanama, S. P., Bleuten, W., Bourgault, M. A., Brümmer, C., Burdun, I., Desai, A. R., Devito, K., Grünwald, T., Grygoruk, M., Humphreys, E. R., Klatt, J., Kurbatova, J., Lohila, A., Munir, T. M., Nilsson, M. B., Price, J. S., Röhl, M., Schneider, A., Tiemeyer, B. (2019) Peat‐Clsm: A Specific Treatment Of Peatland Hydrology In The Nasa Catchment Land Surface Model, Journal Of Advances In Modeling Earth Systems, 11(7), 2130-2162.
2019 Knox, S. H., Jackson, R. B., Poulter, B., McNicol, G., Fluet-Chouinard, E., Zhang, Z., Hugelius, G., Bousquet, P., Canadell, J. G., Saunois, M., Papale, D., Chu, H., Keenan, T. F., Baldocchi, D., Torn, M. S., Mammarella, I., Trotta, C., Aurela, M., Bohrer, G., Campbell, D. I., Cescatti, A., Chamberlain, S., Chen, J., Chen, W., Dengel, S., Desai, A. R., Euskirchen, E., Friborg, T., Gasbarra, D., Goded, I., Goeckede, M., Heimann, M., Helbig, M., Hirano, T., Hollinger, D. Y., Iwata, H., Kang, M., Klatt, J., Krauss, K. W., Kutzbach, L., Lohila, A., Mitra, B., Morin, T. H., Nilsson, M. B., Niu, S., Noormets, A., Oechel, W. C., Peichl, M., Peltola, O., Reba, M. L., Richardson, A. D., Runkle, B. R., Ryu, Y., Sachs, T., Schäfer, K. V., Schmid, H. P., Shurpali, N., Sonnentag, O., Tang, A. C., Ueyama, M., Vargas, R., Vesala, T., Ward, E. J., Windham-Myers, L., Wohlfahrt, G., Zona, D. (2019) Fluxnet-Ch4 Synthesis Activity: Objectives, Observations, And Future Directions, Bulletin Of The American Meteorological Society, .
2019 Turner, J., Desai, A. R., Thom, J., Wickland, K. P., Olson, B. (2019) Wind Sheltering Impacts On Land-Atmosphere Fluxes Over Fens, Frontiers In Environmental Science, 7, .
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.
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.
2018 Qiu, C., Zhu, D., Ciais, P., Guenet, B., Krinner, G., Peng, S., Aurela, M., Bernhofer, C., Brümmer, C., Bret-Harte, S., Chu, H., Chen, J., Desai, A. R., Dušek, J., Euskirchen, E. S., Fortuniak, K., Flanagan, L. B., Friborg, T., Grygoruk, M., Gogo, S., Grünwald, T., Hansen, B. U., Holl, D., Humphreys, E., Hurkuck, M., Kiely, G., Klatt, J., Kutzbach, L., Largeron, C., Laggoun-Défarge, F., Lund, M., Lafleur, P. M., Li, X., Mammarella, I., Merbold, L., Nilsson, M. B., Olejnik, J., Ottosson-Löfvenius, M., Oechel, W., Parmentier, F. W., Peichl, M., Pirk, N., Peltola, O., Pawlak, W., Rasse, D., Rinne, J., Shaver, G., Schmid, H. P., Sottocornola, M., Steinbrecher, R., Sachs, T., Urbaniak, M., Zona, D., Ziemblinska, K. (2018) Orchidee-Peat (Revision 4596), A Model For Northern Peatland Co≪Sub≫2≪/Sub≫, Water, And Energy Fluxes On Daily To Annual Scales, Geoscientific Model Development, 11(2), 497-519.
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.
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.
2009 Sulman, B.N.,  Desai, A.R., Cook, B.D., Saliendra, N., Mackay, D.S. (2009) Contrasting Carbon Dioxide Fluxes Between A Drying Shrub Wetland In Northern Wisconsin, USA, And Nearby Forests, Biogeosciences, 6(6), 1115-1126.
2004 Kaakinen, S., Kostiainen, K., Ek, F., Saranpaa, P., Kubiske, M. E., Sober, J., Karnosky, D. F., Vapaavuori, E. (2004) Stem Wood Properties Of Populus Tremuloides, Betula Papyrifera And Acer Saccharum Saplings After 3 Years Of Treatments To Elevated Carbon Dioxide And Ozone, Global Change Biology, 10(9), 1513-1525.
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.
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.
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.
2013 Sulman, B. N., Desai, A. R., Mladenoff, D. J. (2013) Modeling Soil And Biomass Carbon Responses To Declining Water Table In A Wetland-Rich Landscape, Ecosystems, 16(3), 491-507.
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.
2010 Sulman, B. N., Desai, A. R., Saliendra, N. Z., Lafleur, P. M., Flanagan, L. B., Sonnentag, O., Mackay, D. S., Barr, A. G., van der Kamp, G. (2010) CO2 Fluxes At Northern Fens And Bogs Have Opposite Responses To Inter-Annual Fluctuations In Water Table, Geophysical Research Letters, 37(19), n/a-n/a.
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.
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.
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.
2012 Grant, R.F., Desai, A.R.,  Sulman, B.N. (2012) Modelling Contrasting Responses Of Wetland Productivity To Changes In Water Table Depth, Biogeosciences, 9(11), 4215-4231.
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.
2012 Sulman, B. N., Desai, A. R., Schroeder, N. M., Ricciuto, D., Barr, A., Richardson, A. D., Flanagan, L. B., Lafleur, P. M., Tian, H., Chen, G., Grant, R. F., Poulter, B., Verbeeck, H., Ciais, P., Ringeval, B., Baker, I. T., Schaefer, K., Luo, Y., Weng, E. (2012) Impact of Hydrological Variations on Modeling of Peatland CO2 Fluxes: Results From the North American Carbon Program Site Synthesis, Journal Of Geophysical Research: Biogeosciences, 117(G01031), n/a-n/a.

US-Los: Lost Creek

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.

* 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-Los: Lost Creek

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 704m x 704m
  • Data Collected:
    • Wind roses use variables ‘WS’ and ‘WD’.
    Download Data Download Wind Rose as Image File (PNG)

    Wind Speed (m/s)

  • Graph Type
  • Wind Speed Scale
  • Wind Direction Scale (%)
  • Show Satellite Image
  • Show Wind Rose
    • Annual Average
    About Ameriflux Wind Roses
    Wind Rose Explanation
    A wind rose gives a succinct view of how wind speed and direction are typically distributed at a particular location. Presented in a circular format, a wind rose shows the frequency and intensity of winds blowing from particular directions. The length of each “spoke” around the circle indicates the amount of time (frequency) that the wind blows from a particular direction. Colors along the spokes indicate categories of wind speed (intensity). Each concentric circle represents a different frequency, emanating from zero at the center to increasing frequencies at the outer circles
    Utility
    This information can be useful to gain insight into regions surrounding a flux tower that contribute to the measured fluxes, and how those regions change in dependence of the time of day and season. The wind roses presented here are for four periods of the year, and in 16 cardinal directions. Graphics are available for all sites in the AmeriFlux network based on reported wind measurements at each site.
    Data from each site can be downloaded by clicking the ‘download’ button.
    Hover the cursor over a wind rose to obtain directions, speeds and intensities.
    Note that wind roses are not equivalent to flux footprints. Specifically, the term flux footprint describes an upwind area “seen” by the instruments measuring vertical turbulent fluxes, such that heat, water, gas and momentum transport generated in this area is registered by the instruments. Wind roses, on the other hand, identify only the direction and speed of wind.
    Where do these data come from?
    The wind roses are based on observed hourly data from the sites registered with the AmeriFlux Network.
    Parameters for AmeriFlux Wind Roses
    To use wind roses for a single AmeriFlux site, the following parameters may be most useful:
    • Wind Speed Scale: Per Site
    • Wind Direction Scale (%): Per Site
    To compare wind roses from more than one single AmeriFlux site, the following parameters may be most useful:
    • Wind Speed Scale: Non-Linear
    • Wind Direction Scale (%): AmeriFlux
    Mar - Jun; 6am - 6pm
    Mar - Jun; 6pm - 6am
    Jun - Sep; 6am - 6pm
    Jun - Sep; 6pm - 6am
    Sep - Dec; 6am - 6pm
    Sep - Dec; 6pm - 6am
    Dec - Mar; 6am - 6pm
    Dec - Mar; 6pm - 6am