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US-MOz: Missouri Ozark Site

Tower_team:
PI: Jeffrey Wood woodjd@missouri.edu - University of Missouri
PI: Lianhong Gu lianhong-gu@ornl.gov - Oak Ridge National Laboratory
Lat, Long: 38.7441, -92.2000
Elevation(m): 219.40
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: Cfa (Humid Subtropical: mild with no dry season, hot summer)
Mean Annual Temp (°C): 12.11
Mean Annual Precip. (mm): 986
Flux Species Measured: CO2
Years Data Collected: 2004 - Present
Years Data Available:2004 - 2017
Description:
The site is located in the University of Missouri Baskett Wildlife Research area, situated in the Ozark region of central Missouri. The site is uniquely ...
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URL: —
Research Topics:
Science objectives include: long term monitoring of carbon dioxide and water vapor concentrations, above canopy and sub-canopy energy fluxes, characterization ...
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Acknowledgment: The MOFLUX site is supported by Oak Ridge National Laboratory’s Terrestrial Ecosystem Science (TES) Scientific Focus Area (SFA), which in turn is supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research Program, Climate and Environmental Sciences Division.
Site Photo More Site Images
Image Credit: Jeffrey Wood
Copyright preference: As long as credit is given
Site Publication More Site Publications
Gu, L., Pallardy, S. G., Yang, B., Hosman, K. P., Mao, J., Ricciuto, D., Shi, X., Sun, Y. 2016. Testing a Land Model In Ecosystem Functional Space via a Comparison of Observed and Modeled Ecosystem Responses to Precipitation Regimes and Associated Stresses in a Central U.S. Forest, Journal Of Geophysical Research: Biogeosciences, 121:7, 1884-1902.

US-MOz: Missouri Ozark Site

Instructions for DOIs for This Site

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

DOIs

  • AmeriFlux
  • Citation: Jeffrey Wood, Lianhong Gu (2004-) AmeriFlux US-MOz Missouri Ozark Site, Dataset. https://doi.org/10.17190/AMF/1246081
  • Link: https://doi.org/10.17190/AMF/1246081

Publications to use for Citations for this Site

    —

Acknowledgements

  • The MOFLUX site is supported by Oak Ridge National Laboratory’s Terrestrial Ecosystem Science (TES) Scientific Focus Area (SFA), which in turn is supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research Program, Climate and Environmental Sciences Division.

Resources

US-MOz: Missouri Ozark Site

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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.

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US-MOz: Missouri Ozark Site

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-MOz: Missouri Ozark Site

Year Publication
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.
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.
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.
2015 Toomey, M., Friedl, M. A., Frolking, S., Hufkens, K., Klosterman, S., Sonnentag, O., Baldocchi, D. D., Bernacchi, C. J., Biraud, S. C., Bohrer, G., Brzostek, E., Burns, S. P., Coursolle, C., Hollinger, D. Y., Margolis, H. A., McCaughey, H., Monson, R. K., Munger, J. W., Pallardy, S., Phillips, R. P., Torn, M. S., Wharton, S., Zeri, M., Richardson, A. D. (2015) Greenness Indices From Digital Cameras Predict The Timing And Seasonal Dynamics Of Canopy-Scale Photosynthesis, Ecological Applications, 25(1), 99-115.
2019 Gu, L., Wood, J. D., Chang, C. Y., Sun, Y., Riggs, J. S. (2019) Advancing Terrestrial Ecosystem Science With A Novel Automated Measurement System For Sun-Induced Chlorophyll Fluorescence For Integration With Eddy Covariance Flux Networks, Journal Of Geophysical Research: Biogeosciences, 124(1), 127-146.
2019 Wood, J. D., Sadler, E. J., Fox, N. I., Greer, S. T., Gu, L., Guinan, P. E., Lupo, A. R., Market, P. S., Rochette, S. M., Speck, A., White, L. D. (2019) Land-Atmosphere Responses To A Total Solar Eclipse In Three Ecosystems With Contrasting Structure And Physiology, Journal Of Geophysical Research: Atmospheres, 124(2), 530-543.
2009 YANG, B., PALLARDY, S. G., MEYERS, T. P., GU, L., HANSON, P. J., WULLSCHLEGER, S. D., HEUER, M., HOSMAN, K. P., RIGGS, J. S., SLUSS, D. W. (2009) Environmental Controls On Water Use Efficiency During Severe Drought In An Ozark Forest In Missouri, Usa, Global Change Biology, 16(8), 2252-2271.
2015 Yue, X., Unger, N., Keenan, T. F., Zhang, X., Vogel, C. S. (2015) Probing The Past 30-Year Phenology Trend Of Us Deciduous Forests, Biogeosciences, 12(15), 4693-4709.
2017 Montané, F., Fox, A. M., Arellano, A. F., MacBean, N., Alexander, M. R., Dye, A., Bishop, D. A., Trouet, V., Babst, F., Hessl, A. E., Pederson, N., Blanken, P. D., Bohrer, G., Gough, C. M., Litvak, M. E., Novick, K. A., Phillips, R. P., Wood, J. D., Moore, D. J. (2017) Evaluating The Effect Of Alternative Carbon Allocation Schemes In A Land Surface Model (Clm4.5) On Carbon Fluxes, Pools, And Turnover In Temperate Forests, Geoscientific Model Development, 10(9), 3499-3517.
2017 Momen, M., Wood, J. D., Novick, K. A., Pangle, R., Pockman, W. T., McDowell, N. G., Konings, A. G. (2017) Interacting Effects Of Leaf Water Potential And Biomass On Vegetation Optical Depth, Journal Of Geophysical Research: Biogeosciences, 122(11), 3031-3046.
2017 Sun, Y., Frankenberg, C., Wood, J. D., Schimel, D. S., Jung, M., Guanter, L., Drewry, D. T., Verma, M., Porcar-Castell, A., Griffis, T. J., Gu, L., Magney, T. S., Köhler, P., Evans, B., Yuen, K. (2017) Oco-2 Advances Photosynthesis Observation From Space Via Solar-Induced Chlorophyll Fluorescence, Science, 358(6360), eaam5747.
2018 Wood, J. D., Knapp, B. O., Muzika, R., Stambaugh, M. C., Gu, L. (2018) The Importance Of Drought–Pathogen Interactions In Driving Oak Mortality Events In The Ozark Border Region, Environmental Research Letters, 13(1), 015004.
2014 Potosnak, M. J., LeStourgeon, L., Pallardy, S. G., Hosman, K. P., Gu, L., Karl, T., Geron, C., Guenther, A. B. (2014) Observed And Modeled Ecosystem Isoprene Fluxes From An Oak-Dominated Temperate Forest And The Influence Of Drought Stress, Atmospheric Environment, 84, 314-322.
2015 Seco, R., Karl, T., Guenther, A., Hosman, K. P., Pallardy, S. G., Gu, L., Geron, C., Harley, P., Kim, S. (2015) Ecosystem-Scale Volatile Organic Compound Fluxes During An Extreme Drought In A Broadleaf Temperate Forest Of The Missouri Ozarks (Central USA)), Global Change Biology, 21(10), 3657-3674.
2008 Gu, L., Hanson, P. J., Mac Post, W., Liu, Q. (2008) A Novel Approach For Identifying The True Temperature Sensitivity From Soil Respiration Measurements, Global Biogeochemical Cycles, 22(4), n/a-n/a.
2016 Gu, L., Pallardy, S. G., Hosman, K. P., Sun, Y. (2016) Impacts of Precipitation Variability on Plant Species and Community Water Stress in a Temperate Deciduous Forest in the Central US, Agricultural And Forest Meteorology, 217, 120-136.
2016 Gu, L., Pallardy, S. G., Yang, B., Hosman, K. P., Mao, J., Ricciuto, D., Shi, X., Sun, Y. (2016) Testing a Land Model In Ecosystem Functional Space via a Comparison of Observed and Modeled Ecosystem Responses to Precipitation Regimes and Associated Stresses in a Central U.S. Forest, Journal Of Geophysical Research: Biogeosciences, 121(7), 1884-1902.
2015 Gu, L., Pallardy, S. G., Hosman, K. P., Sun, Y. (2015) Drought-Influenced Mortality Of Tree Species With Different Predawn Leaf Water Dynamics In A Decade-Long Study Of A Central Us Forest, Biogeosciences, 12(10), 2831-2845.
2008 Gu, L., Hanson, P. J., Post, W. M., Kaiser, D. P., Yang, B., Nemani, R., Pallardy, S. G., Meyers, T. (2008) The 2007 Eastern Us Spring Freeze: Increased Cold Damage In A Warming World?, Bioscience, 58(3), 253-262.
2012 Gu, L., Massman, W. J., Leuning, R., Pallardy, S. G., Meyers, T., Hanson, P. J., Riggs, J. S., Hosman, K. P., Yang, B. (2012) The Fundamental Equation Of Eddy Covariance And Its Application In Flux Measurements, Agricultural And Forest Meteorology, 152, 135-148.
2013 Gu, L. (2013) An Eddy Covariance Theory Of Using O2 To CO2 Exchange Ratio To Constrain Measurements Of Net Ecosystem Exchange Of Any Gas Species, Agricultural And Forest Meteorology, 176, 104-110.
2017 Porras, R. C., Hicks Pries, C. E., McFarlane, K. J., Hanson, P. J., Torn, M. S. (2017) Association With Pedogenic Iron And Aluminum: Effects On Soil Organic Carbon Storage And Stability In Four Temperate Forest Soils, Biogeochemistry, 133(3), 333-345.
2013 McFarlane, K. J., Torn, M. S., Hanson, P. J., Porras, R. C., Swanston, C. W., Callaham, M. A., Guilderson, T. P. (2013) Comparison Of Soil Organic Matter Dynamics At Five Temperate Deciduous Forests With Physical Fractionation And Radiocarbon Measurements, Biogeochemistry, 112(1-3), 457-476.
2015 Dennis Baldocchi, Cove Sturtevant (2015) Does day and night sampling reduce spurious correlation between canopy photosynthesis and ecosystem respiration?, Agricultural and Forest Meteorology, 207, 117-126.
2006 Gu, L., Meyers, T., Pallardy, S. G., Hanson, P. J., Yang, B., Heuer, M., Hosman, K. P., Riggs, J. S., Sluss, D., Wullschleger, S. D. (2006) Direct And Indirect Effects Of Atmospheric Conditions And Soil Moisture On Surface Energy Partitioning Revealed By A Prolonged Drought At A Temperate Forest Site, Journal Of Geophysical Research, 111(D16), n/a-n/a.
2006 Gu, L., Meyers, T., Pallardy, S. G., Hanson, P. J., Yang, B., Heuer, M., Hosman, K. P., Liu, Q., Riggs, J. S., Sluss, D., Wullschleger, S. D. (2006) Influences Of Biomass Heat And Biochemical Energy Storages On The Land Surface Fluxes And Radiative Temperature, Journal Of Geophysical Research: Atmospheres, 112(D2), n/a-n/a.
1988 Pallardy, S. G., Nigh, T. A., Garrett, H. E. (1988) Changes In Forest Composition In Central Missouri: 1968-1982, American Midland Naturalist, 120(2), 380-390.

US-MOz: Missouri Ozark Site

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-MOz: Missouri Ozark Site

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 792m x 792m
  • 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