Replication Data for: A mid-cost automated floating chamber system for high-frequency CO2 and CH4 flux measurements: design, calibration, and comparison with infrequent measurement strategies
What's in it
Small inland waters are important greenhouse gas (GHG) sources; however, most field campaigns rely on daytime-only measurements collected at multi-week intervals, potentially biasing flux estimates. We present the Buoyant Emission Recorder for Temporal High-Frequency Analyses (BERTHA), a mid-cost automated floating chamber system for high-frequency measurements of CO2 and CH4 fluxes. We describe the system’s design and show how empirically derived pressure and water vapour correction factors for the mid-cost CO2 and CH4 sensors increase the accuracy of reported concentrations and derived flux estimates. Additionally, we calculated the mean CO2 and CH4 emission using high-frequency measurements during 97 days and simulated alternative measurement scenarios based on the full dataset and evaluated how well these ‘reference means’ could be approached by 1) single, daytime-only chamber measurements at daily to monthly intervals, and 2) short-term (2–3 days) automated chamber deployments every 2–3 weeks combined with machine learning-based gap-filling. Results show that daytime-only measurements consistently and strongly underestimated the reference CO2 mean. CH4 emissions matched the …
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