ecor: Eddy Correlation Flux Measurement System

The eddy correlation (ECOR) flux measurement system provides half-hour measurements of the surface turbulent fluxes of momentum, sensible heat, latent heat, and carbon dioxide. The ECOR uses the eddy covariance technique, which involves correlation of the vertical wind component with the horizontal wind component, air temperature, water vapor density, and CO2 density. The system includes:

  • A fast-response, 3D wind sensor (sonic anemometer) to record the orthogonal wind components and the speed of sound (SOS), which is used to derive the air temperature;
  • An open-path infrared gas analyzer (IRGA) to obtain the water vapor density and CO2 density; and
  • An IRGA to obtain the methane density (at the NSA and OLI sites only).

ECOR systems are deployed where other methods for measuring surface fluxes, such as energy balance Bowen ratio systems (EBBR), are difficult to use.

Uncorrected turbulent fluxes are available in the 30ecor datastream. It is recommended that routine ECOR corrections are applied to the data prior to use, and corrected fluxes are available in the 30qcecor VAP. In October 2019 the ECOR systems at SGP were upgraded with newer model instruments, including the addition of a microprocessor allowing both uncorrected and corrected fluxes in a single datastream, ecorsf, and eliminating the need for the ECOR VAP at these sites.

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

Active Instrument Locations

Facility Name Instrument Start Date
Oliktok Point, Alaska; AMF3 2014-07-16
Barrow, Alaska (71.325, -156.608, 5) 2011-09-16
Anthony, KS (Extended) 2011-11-15
Graciosa Island, Azores, Portugal 2014-07-03

2019

Varble A, S Nesbitt, P Salio, E Avila, P Borque, P DeMott, G McFarquhar, S van den Heever, E Zipser, D Gochis, R Houze, M Jensen, P Kollias, S Kreidenweis, R Leung, K Rasmussen, D Romps, and C Williams. 2019. Cloud, Aerosol, and Complex Terrain Interactions (CACTI) Field Campaign Report. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-19-028.

Osman M, D Turner, T Heus, and V Wulfmeyer. 2019. "Validating the Water Vapor Variance Similarity Relationship in the Interfacial Layer Using Observations and Large‐Eddy Simulations." Journal of Geophysical Research: Atmospheres, , 10.1029/2019JD030653.

Tao C, Y Zhang, S Tang, Q Tang, H Ma, S Xie, and M Zhang. 2019. "Regional Moisture Budget and Land‐Atmosphere Coupling over the U.S. Southern Great Plains Inferred from the ARM Long‐Term Observations." Journal of Geophysical Research: Atmospheres, 124(17-18), 10.1029/2019JD030585.

Tang S, C Tao, S Xie, and M Zhang. 2019. Description of the ARM Large-Scale Forcing Data from the Constrained Variational Analysis (VARANAL) Version 2. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-TR-222.

Fast J, L Berg, Z Feng, F Mei, R Newsom, K Sakaguchi, and H Xiao. 2019. "The Impact of Variable Land‐Atmosphere Coupling on Convective Cloud Populations Observed During the 2016 HI‐SCALE Field Campaign." Journal of Advances in Modeling Earth Systems, 11(8), 10.1029/2019MS001727.

Tang S, S Xie, Y Zhang, and DR Cook. 2019. The QCECOR Value-Added Product: Quality-Controlled Eddy Correlation Flux Measurements. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-TR-223.

Sullivan R, V Kotamarthi, and Y Feng. 2019. "Recovering evapotranspiration trends from biased CMIP5 simulations and sensitivity to changing climate over North America." Journal of Hydrometeorology, 20(8), 10.1175/JHM-D-18-0259.1.
Research Highlight

Anber U, S Giangrande, L Donner, and M Jensen. 2019. "Updraft Constraints on Entrainment: Insights from Amazonian Deep Convection." Journal of the Atmospheric Sciences, 76(8), 10.1175/JAS-D-18-0234.1.
Research Highlight

Newsom RK, C Sivaraman, TR Shippert, and LD Riihimaki. 2019. Doppler Lidar Vertical Velocity Statistics Value-Added Product. Ed. by Robert Stafford, U.S. DOE ARM user facility. DOE/SC-ARM-TR-149.

Cook DR and RC Sullivan. 2019. Eddy Correlation Flux Measurement System (ECOR) Instrument Handbook. Ed. by Robert Stafford, U.S. Department of Energy. DOE/SC-ARM/TR-052.


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