US-NC2: NC_Loblolly Plantation
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| Tower_team: | |
| PI: | Asko Noormets noormets@tamu.edu - Texas A&M University |
| DataManager: | Benju Baniya benju.baniya@ag.tamu.edu - Texas A&M University |
| Lat, Long: | 35.8030, -76.6685 |
| Elevation(m): | 5 |
| Network Affiliations: | AmeriFlux, Phenocam, USCCC |
| 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: | Cfa (Humid Subtropical: mild with no dry season, hot summer) |
| Mean Annual Temp (°C): | 16.6 |
| Mean Annual Precip. (mm): | 1320 |
| Flux Species Measured: | CO2 |
| Years Data Collected: | 2005 - Present |
| Years Data Available: | AmeriFlux BASE 2005 - 2024 Data Citation |
| Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
| Description: | The North Carolina Loblolly Pine site is located in a pine plantation amongst the mixed forests of the North Carolina lower coastal plain. During the late ... The North Carolina Loblolly Pine site is located in a pine plantation amongst the mixed forests of the North Carolina lower coastal plain. During the late 19th and early 20th centuries the region was logged extensively. After a series of clearcuts, the land was transformed for agricultural practices. In 1967 and 1969, 4000 ha was sold to the Weyerhauser company for agriculture, preservation, and commercial logging of loblolly pines in a series of plantations. The fifth rotation stand surrounding the tower was established in 1992. The only significant natural disturbances during the measurement period was a severe drought that spanned the entire duration of the 2007 growing season. Consequently, the 2007 total amount of precipitation was 486 mm below the 30-year norm. In the same year, the plantation was thinned and fertilized. The stand was thinned in Oct 2009. The eastern half of the site was fertilized in January 2011, and the entire site was fertilized in October 2012. See MoreShow Less |
| URL: | https://sites.google.com/site/ncfluxcoresites/ |
| Research Topics: | The research and science objectives of the North Carolina Loblolly Pine site are as follows: 1) quantify age-related changes in carbon and water exchange, ... The research and science objectives of the North Carolina Loblolly Pine site are as follows: 1) quantify age-related changes in carbon and water exchange, environmental regulation and stress sensitivity; 2) partition causes of variability between environmental and management factors; 3) Identify primary vulnerabilities to environmental stresses, and develop potential adaptive measures; 4) Characterize the sources of interannual variability in the fluxes, including sensitivity to natural disturbances such as severe droughts; 5) Examine the effects of ecosystem conversion from wetlands to intensively managed forests on plant hydraulic properties and water balances. (Domec et al., 2009, Noormets et al., 2009) See MoreShow Less |
| Acknowledgment: | — |
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- 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.
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Noormets, A., McNulty, S. G., Domec, J., Gavazzi, M., Sun, G., King, J. S. 2012.
The Role Of Harvest Residue In Rotation Cycle Carbon Balance In Loblolly Pine Plantations. Respiration Partitioning Approach,
Global Change Biology, 18:10, 3186-3201.
US-NC2: NC_Loblolly Plantation
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Use the information below for citation of this site. See the Data Policy page for more details.
DOI(s) for citing US-NC2 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-NC2 data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1246083
Citation: Asko Noormets, Ge Sun, Michael Gavazzi, Jean-Christophe Domec, Steve McNulty, Guofang Miao, Maricar Aguilos, Bhaskar Mitra, Kevan Minick, John King, Linqing Yang, Prajaya Prajapati (2025), AmeriFlux BASE US-NC2 NC_Loblolly Plantation, Ver. 17-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246083
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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US-NC2: NC_Loblolly Plantation
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This page displays the list of downloads of data for the site US-NC2.
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.
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US-NC2: NC_Loblolly Plantation
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Search Images for this Site Images found : 2
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US-NC2 2015.US.NC2.Sitevisit.IMG_6505
Description:
2015.US.NC2.Sitevisit.IMG_6505
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US-NC2 2015.US.NC2.Sitevisit.IMG_6497
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2015.US.NC2.Sitevisit.IMG_6497
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Site ID: US-NC2
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US-NC2: NC_Loblolly Plantation
- Overview
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- MODIS
- PhenoCam
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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. 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-NC2:
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-NC2, 35.803, -76.6685.
Click a square in the grid at left to display its data below.
Coordinates for selected GeoNEX Pixel
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
No NDVI data have been received for site US-NC2.
NDVI (unitless)
Resolution: 0.01° x 0.01° & 10 minutes
Coordinates for pixel:
NIRv Near-Infrared Reflectance of vegetation
No NIRv data have been received for site US-NC2.
NIRv (unitless)
Resolution: 0.01° x 0.01° & 10 minutes
Coordinates for pixel:
DSR: Surface downward shortwave radiation
No DSR data have been received for site US-NC2.
Shortwave Radiation (W/m2)
Resolution: 0.01° x 0.01° & Hourly
Coordinates for pixel:
LST: Land Surface Temperature
No LST data have been received for site US-NC2.
LST (K)
Resolution: 0.02° x 0.02° & Hourly
Coordinates for pixel:
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-NC2: NC_Loblolly Plantation
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Search Publications for this Site
Publications Found: 13
| 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 |
| 2021 | Aguilos, M., Sun, G., Noormets, A., Domec, J., McNulty, S., Gavazzi, M., Minick, K., Mitra, B., Prajapati, P., Yang, Y., King, J. (2021) Effects Of Land-Use Change And Drought On Decadal Evapotranspiration And Water Balance Of Natural And Managed Forested Wetlands Along The Southeastern Us Lower Coastal Plain, Agricultural And Forest Meteorology, 303, 108381. https://doi.org/10.1016/j.agrformet.2021.108381 |
| 2020 | Aguilos, M., Mitra, B., Noormets, A., Minick, K., Prajapati, P., Gavazzi, M., Sun, G., McNulty, S., Li, X., Domec, J., Miao, G., King, J. (2020) Long-Term Carbon Flux And Balance In Managed And Natural Coastal Forested Wetlands Of The Southeastern Usa, Agricultural And Forest Meteorology, 288-289, 108022. https://doi.org/10.1016/j.agrformet.2020.108022 |
| 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 | 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 |
| 2017 | Middleton, E., Rascher, U., Corp, L., Huemmrich, K., Cook, B., Noormets, A., Schickling, A., Pinto, F., Alonso, L., Damm, A., Guanter, L., Colombo, R., Campbell, P., Landis, D., Zhang, Q., Rossini, M., Schuettemeyer, D., Bianchi, R. (2017) The 2013 Flex—Us Airborne Campaign At The Parker Tract Loblolly Pine Plantation In North Carolina, Usa, Remote Sensing, 9(6), 612-643. https://doi.org/10.3390/rs9060612 |
| 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. https://doi.org/10.1016/j.agrformet.2015.03.010 |
| 2012 | Domec, J., Sun, G., Noormets, A., Gavazzi, M. J., Treasure, E. A., Cohen, E., Swenson, J. J., McNulty, S. G., King, J. S. (2012) A Comparison Of Three Methods To Estimate Evapotranspiration In Two Contrasting Loblolly Pine Plantations: Age-Related Changes In Water Use And Drought Sensitivity Of Evapotranspiration Components, Forest Science, 58(5), 497-512. https://doi.org/10.5849/forsci.11-051 |
| 2012 | Domec, J., Ogee, J., Noormets, A., Jouangy, J., Gavazzi, M., Treasure, E., Sun, G., McNulty, S. G., King, J. S. (2012) Interactive Effects Of Nocturnal Transpiration And Climate Change On The Root Hydraulic Redistribution And Carbon And Water Budgets Of Southern United States Pine Plantations, Tree Physiology, 32(6), 707-723. https://doi.org/10.1093/treephys/tps018 |
| 2012 | Noormets, A., McNulty, S. G., Domec, J., Gavazzi, M., Sun, G., King, J. S. (2012) The Role Of Harvest Residue In Rotation Cycle Carbon Balance In Loblolly Pine Plantations. Respiration Partitioning Approach, Global Change Biology, 18(10), 3186-3201. https://doi.org/10.1111/j.1365-2486.2012.02776.x |
| 2010 | Sun, G., Noormets, A., Gavazzi, M., McNulty, S., Chen, J., Domec, J., King, J., Amatya, D., Skaggs, R. (2010) Energy And Water Balance Of Two Contrasting Loblolly Pine Plantations On The Lower Coastal Plain Of North Carolina, USA, Forest Ecology And Management, 259(7), 1299-1310. https://doi.org/10.1016/j.foreco.2009.09.016 |
| 2010 | Domec, J., King, J. S., Noormets, A., Treasure, E., Gavazzi, M. J., Sun, G., McNulty, S. G. (2010) Hydraulic Redistribution Of Soil Water By Roots Affects Whole-Stand Evapotranspiration And Net Ecosystem Carbon Exchange, New Phytologist, 187(1), 171-183. https://doi.org/10.1111/j.1469-8137.2010.03245.x |
| 2010 | Noormets, A., Gavazzi, M. J., Mcnulty, S. G., Domec, J., Sun, G., King, J. S., Chen, J. (2010) Response Of Carbon Fluxes To Drought In A Coastal Plain Loblolly Pine Forest, Global Change Biology, 16(1), 272-287. https://doi.org/10.1111/j.1365-2486.2009.01928.x |
US-NC2: NC_Loblolly Plantation
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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-NC2: NC_Loblolly Plantation
- Overview
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- Data Citation
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- Image Gallery
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Wind Roses
Click an image below to enlarge it, or use the navigation panel.
Wind Speed (m/s)
Navigation
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