the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Long-term meteorological and carbon, water and energy flux data from the Boreal Ecosystem Research and Monitoring Sites, Saskatchewan, Canada
Abstract. The Boreal Ecosystem Research and Monitoring Sites (BERMS) are a network of flux tower research sites located near the southern boundary of the Boreal Plains Ecozone in Saskatchewan, Canada. This network includes four principal sites that characterize the region’s dominant vegetation types: mature trembling aspen (Old Aspen, OA, 1997–2017), mature black spruce (Old Black Spruce, OBS, 1997–present), mature jack pine (Old Jack Pine, OJP, 1997–present), and a minerotrophic patterned fen (Fen, 2002–present). The dataset reported here include continuous long-term records of site meteorological variables (air temperature, humidity, barometric pressure, precipitation, wind speed and direction), vertical profiles of soil temperature and volumetric water content, surface energy balance components (soil and biomass heat fluxes, photosynthetic heat flux, and eddy covariance-derived latent and sensible heat fluxes), and carbon fluxes (net ecosystem production, gross primary productivity, and ecosystem respiration). The strengths of the data set are its length and completeness, spanning up to 27 years; the care given to the measurement of net radiation and the minor surface energy balance terms; the care given to the measurement of precipitation and other hydrologic variables; and the proximity of the sites, which enables inter-site comparisons of the responses of the carbon and water balances to climatic controls. The data are available at https://doi.org/10.20383/103.01318 (Helgason et al., 2024).
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Status: open (until 23 Sep 2025)
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RC1: 'Comment on essd-2024-492', Anonymous Referee #1, 19 Aug 2025
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The manuscript provides a substantial documentation of long-term dataset from the Boreal Ecosystem Research and Monitoring Sites in Saskatchewan, Canada. It includes site-level flux measurements of carbon, water, and energy from four vegetation types over nearly three decades. The data are intended to support ecological modeling, inter-site comparisons, and Earth system analyses. While this manuscript provides a significant dataset for future research, it can benefit from substantial improvements as follows:
- The overall purpose of the paper is not introduced until deep into the text. The abstract and early sections lack an explicit statement of aim—specifically, to describe dataset content, quality, and usability. This should be clearly expressed in the first or second paragraph.
- Details regarding quality control, gap-filling methods, and flagging protocols are currently too summary. For reproducibility and transparency, include specifics on data cleaning routines, error thresholds, and imputation strategies.
- The manuscript would be strengthened by providing a concise data schema or table summarizing variables, units, temporal resolution, and quality flags. More information on file formats, naming conventions, and metadata components is essential.
- Known problems or limitations with the data are acknowledged, but resolution strategies or remaining caveats are not sufficiently detailed. Present any unresolved issues, their implications, and planned updates or revision mechanisms.
- The manuscript would benefit from a clearer discussion of how the dataset enhances or complements current global flux networks (e.g., AmeriFlux, FLUXNET). Highlight how these data fill geographic or temporal gaps.
The dataset is highly valuable and aligns well with the mission of Earth System Science Data. However, to reach publishable quality, the manuscript requires clearer articulation of aims, stronger integration with existing flux networks, and more comprehensive data documentation, quality control, and usability guidance.
Major points
- Re‐structure the introduction to state paper's objectives upfront.
- Expand on QA/QC and data processing protocols.
- Provide concise data tables and metadata schema.
- Integrate comparisons with other flux networks.
- Clarify known limitations and plans.
Minor points
- The abstract effectively lists what the dataset contains but lacks a clear statement of purpose. Add a sentence explaining why the dataset is being published and how it supports Earth system science research. Ensure subject-verb agreement (e.g., 'dataset include' should be 'dataset includes') and streamline awkward phrasing.
- The introduction sounds more like a description of the study site rather than the dataset and why is it important. Discuss the scientific significance of long-term boreal flux data and its role in addressing current climate and ecosystem science challenges.
- Figures abbreviations should be expanded for all figures. Consider moving the non relevant ones to a supplementary figure.
- Remove subjective descriptors such as “the care given to…”; instead, use neutral and objective phrasing (e.g., “instrumentation provided high-precision measurements”).
- Review for minor grammar errors—e.g., change “dataset include” to “dataset includes”—and streamline dense sentences for readability.
Citation: https://doi.org/10.5194/essd-2024-492-RC1
Data sets
Long-term meteorological and carbon, water and energy flux data from the Boreal Ecosystem Research and Monitoring Sites, Saskatchewan, Canada Warren Helgason et al. https://doi.org/10.20383/103.01318
Model code and software
Matlab scripts for processing BERMS data Alan Barr https://doi.org/10.20383/103.01318
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