AmeriFlux Logo
Tower_team:
PI: Dennis Baldocchi Baldocchi@berkeley.edu - University of California, Berkeley
AncContact: Joe Verfaillie jverfail@berkeley.edu - University of California, Berkeley
FluxContact: Siyan Ma syma@berkeley.edu - University of California, Berkeley
Technician: Daphne Szutu daphneszutu@berkeley.edu - UC Berkeley
Lat, Long: 38.4133, -120.9507
Elevation(m): 129
Network Affiliations: AmeriFlux
Vegetation IGBP: GRA (Grasslands)
Climate Koeppen: Csa (Mediterranean: mild with dry, hot summer)
Mean Annual Temp (°C): 15.8
Mean Annual Precip. (mm): 559
Flux Species Measured: CO2
Years Data Collected: AmeriFlux: 2000 - Present
Description:
Located in the lower foothills of the Sierra Nevada Mountains on privately owned land, the Vaira Ranch site is classified as a grassland dominated by C3 ...
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URL: http://nature.berkeley.edu/biometlab/sites.php?tab=US-Var
Research Topics:
The research approach of the University of California, Berkeley Biometeorology Laboratory involves the coordinated use of experimental measurements and ...
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Acknowledgment: This research was supported in part by the Office of Science (BER), U.S. Department of Energy, Grant No. DE-FG02-03ER63638
Site Photo More Site Images
Image Credit: Dennis Baldocchi, 04/02/2005
Copyright preference: Open use
Site Publication More Site Publications

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

  • This research was supported in part by the Office of Science (BER), U.S. Department of Energy, Grant No. DE-FG02-03ER63638

Resources

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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MODIS NDVI

View timeseries and download data for 16-day Normalized Difference Vegetation Index (NDVI) for this site.

For other MODIS and related products for this site, visit MODIS/VIIRS Subsets.

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.

Year Publication
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.
2018 Schmidt, A., Creason, W., Law, B. E. (2018) Estimating Regional Effects Of Climate Change And Altered Land Use On Biosphere Carbon Fluxes Using Distributed Time Delay Neural Networks With Bayesian Regularized Learning, Neural Networks, 108, 97-113.
2017 Liu, Y., Hill, M. J., Zhang, X., Wang, Z., Richardson, A. D., Hufkens, K., Filippa, G., Baldocchi, D. D., Ma, S., Verfaillie, J., Schaaf, C. B. (2017) Using Data From Landsat, Modis, Viirs And Phenocams To Monitor The Phenology Of California Oak/Grass Savanna And Open Grassland Across Spatial Scales, Agricultural And Forest Meteorology, 237-238, 311-325.
2017 Filippa, G, Cremonesea, E, Migliavacca M., Galvagno, M., Sonnentag, O., Humphrey, E., Hufkens,K., Ryu, Y. Verfaillie, J., Morra di Cella, U., Richardson, A. (2017) NDVI derived from near-infrared-enabled digital cameras: Applicability across different plant functional types, Agricultural and Forest Meteorology, .
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 Kim, J., Guo, Q., Baldocchi, D., Leclerc, M., Xu, L., Schmid, H. (2006) Upscaling Fluxes From Tower To Landscape: Overlaying Flux Footprints On High-Resolution (IKONOS) Images Of Vegetation Cover, Agricultural And Forest Meteorology, 136(3-4), 132-146.
2005 Sims, D. A., Rahman, A. F., Cordova, V. D., Baldocchi, D. D., Flanagan, L. B., Goldstein, A. H., Hollinger, D. Y., Misson, L., Monson, R. K., Schmid, H. P., Wofsy, S. C., Xu, L. (2005) Midday Values Of Gross CO2 Flux And Light Use Efficiency During Satellite Overpasses Can Be Used To Directly Estimate Eight-Day Mean Flux, Agricultural And Forest Meteorology, 131(1-2), 1-12.
2012 Grant, R., Baldocchi, D., Ma, S. (2012) Ecological Controls On Net Ecosystem Productivity Of A Seasonally Dry Annual Grassland Under Current And Future Climates: Modelling With Ecosys, Agricultural And Forest Meteorology, 152, 189-200.
2004 Xu, L., Baldocchi, D. D. (2004) Seasonal Variation In Carbon Dioxide Exchange Over A Mediterranean Annual Grassland In California, Agricultural And Forest Meteorology, 123(1-2), 79-96.
2004 Baldocchi, D. D., Xu, L., Kiang, N. (2004) How Plant Functional-Type, Weather, Seasonal Drought, And Soil Physical Properties Alter Water And Energy Fluxes Of An Oak–Grass Savanna And An Annual Grassland, Agricultural And Forest Meteorology, 123(1-2), 13-39.
2007 Ma, S., Baldocchi, D. D., Xu, L., Hehn, T. (2007) Inter-Annual Variability In Carbon Dioxide Exchange Of An Oak/Grass Savanna And Open Grassland In California, Agricultural And Forest Meteorology, 147(3-4), 157-171.
2005 Gu, L., Falge, E. M., Boden, T., Baldocchi, D. D., Black, T., Saleska, S. R., Suni, T., Verma, S. B., Vesala, T., Wofsy, S. C., Xu, L. (2005) Objective Threshold Determination For Nighttime Eddy Flux Filtering, Agricultural And Forest Meteorology, 128(3-4), 179-197.
2008 Ryu, Y, Baldoicchi, D. D., Ma, S., Hehn, T. (2008) Interannual Variability Of Evapotranspiration And Energy Exchange Over An Annual Grassland In California, Journal Of Geophysical Research, 113(D09104), n/a-n/a.
2004 Xu, L., Baldocchi, D. D., Tang, J. (2004) How Soil Moisture, Rain Pulses, And Growth Alter The Response Of Ecosystem Respiration To Temperature, Global Biogeochemical Cycles, 18(4), n/a-n/a.
2016 Wolf, S., Keenan, T.F., Fisher, J.B., Baldocchi, D.D., Desai, A.R., Richardson, A.D., Scott, R.L., Law, B.E., Litvak, M.E., Brunsell, N.A., Peters, W., van der Laan-Luijkx, I.T. (2016) Warm spring reduced carbon cycle impact of the 2012 US summer drought, Proceedings of the National Academy of Sciences, 113(21), 5880-5885.
2016 Ma, S, Baldocchi, D.D., Wolf, S., Verfaillie, J. (2016) Slow ecosystem responses conditionally regulate annual carbon balance over 15 years in Californian oak-grass savanna, Agricultural and Forest Meteorology, 252-264.

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.

Wind Roses

Click an image below to enlarge it, or use the navigation panel.
  • Image scale: 795m x 795m
  • 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
    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