US-RC1: Cook Agronomy Farm - No Till
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| Tower_team: | |
| PI: | Brian Lamb blamb@wsu.edu - Washington State University |
| PI: | Jinshu Chi jinshuchi@hkust-gz.edu.cn - The Hong Kong University of Science and Technology, Guangzhou |
| PI: | Shelley Pressley spressley@wsu.edu - Washington State University |
| AncContact: | Bryan Carlson bryan.carlson@usda.gov - USDA-ARS NSARU |
| DataManager: | Eric Russell eric.s.russell@wsu.edu - Washington State University |
| Lat, Long: | 46.7837, -117.0777 |
| Elevation(m): | 807 |
| Network Affiliations: | AmeriFlux, LTAR |
| Vegetation IGBP: | CRO (Croplands: Lands covered with temporary crops followed by harvest and a bare soil period (e.g., single and multiple cropping systems). Note that perennial woody crops will be classified as the appropriate forest or shrub land cover type.) |
| Climate Koeppen: | Dsb (Warm Summer Continental: warm summer) |
| Mean Annual Temp (°C): | 9 |
| Mean Annual Precip. (mm): | 550 |
| Flux Species Measured: | CO2, H2O |
| Years Data Collected: | 2011 - 2016 |
| Years Data Available: | AmeriFlux BASE 2011 - 2016 Data Citation |
| Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
| Description: | RC1 operated from 2013-2016 at the R.J. Cook Agronomy Farm, as part of a cluster of 5 towers (RC1 to RC5) operated for the Regional Approaches to Climate ... RC1 operated from 2013-2016 at the R.J. Cook Agronomy Farm, as part of a cluster of 5 towers (RC1 to RC5) operated for the Regional Approaches to Climate Change (REACCH) USDA-supported research project. The tower predates the Longterm Agroecosystem Research (LTAR) site common experiment, which was established in nearby fields at the Cook Agronomy Farm in 2017. Cook Agronomy Farm is in the high precipitation agroecological zone of the Columbia Plateau’s dryland cropping region. Wheat-based crop rotations are grown on an annual planting schedule. RC1 was in no-till management since 1998, and was contrasted with RC2, which had conventional, reduced-tillage management. RC1 captured the same tillage practices as the US-CF1 site established in 2017 as part of LTAR common experiment. However, the towers have distinct footprints, aspects, and soil series composition. See MoreShow Less |
| URL: | https://www.reacchpna.org/ |
| Research Topics: | — |
| Acknowledgment: | The Regional Approaches to Climate Change project was funded by award #2011-68002-30191 from the National Institute of Food and Agriculture. |
- This site’s data can also be used under the more restrictive AmeriFlux Legacy Policy.
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Copyright preference: As long as credit is given
US-RC1: Cook Agronomy Farm - No Till
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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-RC1 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-RC1 data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1498748
Citation: Jinshu Chi, Brian Lamb, Shelley Pressley (2021), AmeriFlux BASE US-RC1 Cook Agronomy Farm - No Till, Ver. 2-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1498748
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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Acknowledgments
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US-RC1: Cook Agronomy Farm - No Till
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This page displays the list of downloads of data for the site US-RC1.
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 |
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| Date | Name | Data Product | Vers. | Intended Use | Intended Use Description | Download Count |
|---|---|---|---|---|---|---|
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US-RC1: Cook Agronomy Farm - No Till
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| AmeriFlux Images | Add Image |
US-RC1 EC Sites within the REACCH set.
Locations of sites associated with the Regional Approaches to Climate Change (REACCH) USDA-supported research program (US-RC1 = CAF-NT; US-RC2 = CAF-CT; US-RC3 = LIND; US-RC4 = MMTN; US-RC5 = MSLK). Figure 1 from Chi et al. 2017 (doi: 10.1002/2017JG004148).
Keywords: dryland, wheat PNW
Location: Washington, United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As
US-RC1 EC towers associated with the CAF LTAR
Locations of sites associated with the CAF-LTAR site near Pullman, Washington. US-RC1 is CAF-No till, US-RCS2 is CAF Conventional Till, US-CF1 is Cook East, US-CF2 is Cook West, US-CF3 is Boyd North, and US-CF4 is Boyd South.
Keywords: LTAR, wheat, dryland
Location: Washington, United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As
US-RC1: Cook Agronomy Farm - No Till
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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.
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 .
No PhenoCam data for this siteGeoNEX 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-RC1, 46.7837, -117.0777.
Click a square in the grid at left to display its data below.
Coordinates for selected GeoNEX Pixel
Graph controls:
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NDVI: Normalized Difference Vegetation Index
Resolution: 0.01° x 0.01° & 10 minutes
Coordinates for pixel:
NIRv Near-Infrared Reflectance of vegetation
Resolution: 0.01° x 0.01° & 10 minutes
Coordinates for pixel:
DSR: Surface downward shortwave radiation
Resolution: 0.01° x 0.01° & Hourly
Coordinates for pixel:
LST: Land Surface Temperature
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-RC1: Cook Agronomy Farm - No Till
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| 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 |
| 2019 | Waldo, S., Russell, E. S., Kostyanovsky, K., Pressley, S. N., O'Keeffe, P. T., Huggins, D. R., Stöckle, C. O., Pan, W. L., Lamb, B. K. (2019) N2O Emissions From Two Agroecosystems: High Spatial Variability And Long Pulses Observed Using Static Chambers And The Flux‐Gradient Technique, Journal Of Geophysical Research: Biogeosciences, 124(7), 1887-1904. https://doi.org/https://doi.org/10.1029/2019JG005032 |
| 2017 | Chi, J., Maureira, F., Waldo, S., Pressley, S. N., Stöckle, C. O., O'Keeffe, P. T., Pan, W. L., Brooks, E. S., Huggins, D. R., Lamb, B. K. (2017) Carbon And Water Budgets In Multiple Wheat-Based Cropping Systems In The Inland Pacific Northwest Us: Comparison Of Cropsyst Simulations With Eddy Covariance Measurements, Frontiers In Ecology And Evolution, 5, . https://doi.org/10.3389/fevo.2017.00050 |
| 2017 | Chi, J., Waldo, S., Pressley, S. N., Russell, E. S., O'Keeffe, P. T., Pan, W. L., Huggins, D. R., Stöckle, C. O., Brooks, E. S., Lamb, B. K. (2017) Effects Of Climatic Conditions And Management Practices On Agricultural Carbon And Water Budgets In The Inland Pacific Northwest Usa, Journal Of Geophysical Research: Biogeosciences, 122(12), 3142-3160. https://doi.org/10.1002/2017JG004148 |
| 2016 | Chi, J., Waldo, S., Pressley, S., O’Keeffe, P., Huggins, D., Stöckle, C., Pan, W. L., Brooks, E., Lamb, B. (2016) Assessing Carbon And Water Dynamics Of No-Till And Conventional Tillage Cropping Systems In The Inland Pacific Northwest Us Using The Eddy Covariance Method, Agricultural And Forest Meteorology, 218-219, 37-49. https://doi.org/10.1016/j.agrformet.2015.11.019 |
| 2016 | Waldo, S., Chi, J., Pressley, S. N., O’Keeffe, P., Pan, W. L., Brooks, E. S., Huggins, D. R., Stöckle, C. O., Lamb, B. K. (2016) Assessing Carbon Dynamics At High And Low Rainfall Agricultural Sites In The Inland Pacific Northwest Us Using The Eddy Covariance Method, Agricultural And Forest Meteorology, 218-219, 25-36. https://doi.org/10.1016/j.agrformet.2015.11.018 |
US-RC1: Cook Agronomy Farm - No Till
- Overview
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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.
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US-RC1: Cook Agronomy Farm - No Till
- Overview
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Wind Roses
Wind Speed (m/s)
Navigation
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