the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Over three decades, and counting, of near-surface turbulent flux measurements from the Atmospheric Radiation Measurement (ARM) user facility
Abstract. Processes mediating the coupling of terrestrial, aquatic, biospheric, and atmospheric systems influence weather, climate, and ecosystem dynamics via transfer of energy, momentum, water, and carbon (or other species). These exchange processes are quantified by measurements of near surface turbulent fluxes. Understanding processes at these interfaces provides insight into understanding and predicting current and future states within the Earth system. The Atmospheric Radiation Measurement (ARM) user facility has been conducting measurements of near surface turbulent fluxes since the early 1990's at long term fixed locations and shorter-term, mobile deployments across the Earth. ARM has utilized two established methods for conducting these measurements, energy balance Bowen ratio (EBBR) and eddy covariance (EC). Primary measurements from the former include sensible and latent heat flux, while the latter also measures fluxes of momentum and carbon (primarily carbon dioxide, with methane fluxes measured at select (two to date) locations). The EBBR systems were deployed at 22 locations, and to date, the EC systems have been deployed at over 50 sites with plans for additional novel site locations into the future. Herein, the history, evolution, and key aspects of these instrument systems are documented, along with information on data quality assurance and post-processing, and best use practices. Additionally, three recent data validation experiments were conducted, and their key findings are summarized. Finally, ancillary datasets acquired by ARM, that can contextualize and aid interpretation of the near surface turbulent flux measurements, are discussed.
Datasets described herein include the eddy correlation flux measurement system: 30ECOR (https://doi.org/10.5439/1879993, Sullivan et al., 1997), 30QCECOR (https://doi.org/10.5439/1097546, Gaustad 2023), and ECORSF (https://doi.org/10.5439/1494128, Sullivan et al., 2019a); the energy balance Bowen ratio system: 30EBBR (https://doi.org/10.5439/1023895, Sullivan et al., 1993) and 30BAEBBR (https://doi.org/10.5439/1027268, Gaustad and Xie 1993); and the carbon dioxide flux measurement system: CO2FLX (https://doi.org/10.5439/1287574, https://doi.org/10.5439/1287575, https://doi.org/10.5439/1287576, Koontz et al., 2015a,b,c). These data can be found by searching the above datastream names at https://adc.arm.gov/discovery/#/results/.
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RC1: 'Comment on essd-2025-168', Christopher Cox, 15 May 2025
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The manuscript “Over three decades, and counting, of near-surface turbulent flux measurements from the Atmospheric Radiation Measurement (ARM) user facility” by Sullivan et al. provides comprehensive documentation of surface-based turbulent flux observing at ARM. The manuscript reviews methods, history, configuration, validation, site characteristics, recommendations, available support tools, data access information, context with similar networks, etc. The manuscript provides invaluable documentation of a complex, global series of turbulent flux measurements that have been operated be ARM for more than 20 years.
I’m a user of ARM data myself, occasionally including the turbulent fluxes. While ARM data sets are known for exceptional documentation, the turbulent heat fluxes have been one of the more complex (in terms of varied application) and thus less tractable data sources provided by the organization. Therefore, this manuscript is a welcome addition to ESSD and will provide an excellent basis for researchers interested in the ARM turbulent flux products, making this one of the easiest manuscripts to judge in my career. The manuscript should be published promptly.
I have only one question (hopefully I didn't miss this). What happens to the raw, high-frequency (~10 Hz) component measurements (T,u,v,w,q)? Some researchers with specialized needs may be interested in the raw data to analyze spectral details or subsets over varying integration windows with various applications for corrections. Are the raw data available for these purposes? If they are archived, but unavailable, I recommend ARM consider releasing them with DOI (though please don’t hold up publication of this manuscript to do so). If they are not archived, I recommend ARM consider doing so in the future.
Citation: https://doi.org/10.5194/essd-2025-168-RC1
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