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 {{siteId}}.

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US-RC1: Cook Agronomy Farm - No Till

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Search Images for this Site Images found : 2

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EC Sites within the REACCH set.
**Description:**
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
**Credit:** Jinshi (Jackie) Chi
**Site ID:** US-RC1
**Location:** Washington, United States
**Image Date:** 2017
**Journal:** JGR-Biogeosciences
**Article Title:** —
**Copyright Permissions:** CC BY-NC-ND 4.0
**Right to Use:** As long as credit is given

View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

EC towers associated with the CAF LTAR
**Description:**
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
**Credit:** Eric Russell
**Site ID:** US-RC1
**Location:** Washington, United States
**Image Date:** 2018
**Journal:** —
**Article Title:** —
**Copyright Permissions:** CC-BY-NC-ND
**Right to Use:** As long as credit is given

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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.
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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

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.

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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 .

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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 .

Click a square in the grid at left to display its data below.

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NDVI: Normalized Difference Vegetation Index

Resolution: 0.01° x 0.01° & 10 minutes

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NIRv Near-Infrared Reflectance of vegetation

Resolution: 0.01° x 0.01° & 10 minutes

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DSR: Surface downward shortwave radiation

Resolution: 0.01° x 0.01° & Hourly

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LST: Land Surface Temperature

Resolution: 0.02° x 0.02° & Hourly

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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.

GeoNEX Surface Downward Solar Radiation (DSR):

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.

GeoNEX Land Surface Temperature (LST):

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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Search Publications for this Site Publications Found: 6

AmeriFlux Publications

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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., 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
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
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
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

US-RC1: Cook Agronomy Farm - No Till

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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

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Wind Roses

Click an image below to enlarge it, or use the navigation panel.

Image scale: 695m x 695m

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 (%)

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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

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 More Show 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.

US-RC1: Cook Agronomy Farm - No Till

US-RC1: Cook Agronomy Farm - No Till

DOI(s) for citing US-RC1 data

Publication(s) for citing site characterization

Acknowledgments

Resources

US-RC1: Cook Agronomy Farm - No Till

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US-RC1: Cook Agronomy Farm - No Till

EC Sites within the REACCH set.

EC towers associated with the CAF LTAR

US-RC1: Cook Agronomy Farm - No Till

US-RC1: Cook Agronomy Farm - No Till

BADM for This Site

US-RC1: Cook Agronomy Farm - No Till

Wind Roses

Wind Speed (m/s)

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