Title: CH4 Flux Dataset and Upscaling Maps for TVC, Canada, 2019–2024
Citation: Ivanova, K., Virkkala, A.-M., Voigt, C., Sonnentag, O., Brovkin, V., Stacke, T., Bartsch, A., Widhalm, B., & Goeckede, M. (2025). CH4 Flux Dataset and Upscaling Maps for TVC, Canada, 2019–2024 [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.15753253
Study Site: Trail Valley Creek, Northwest Territories
Purpose: Arctic methane (CH4) budgets are uncertain because field measurements often capture only fragments of the wet-to-dry gradient that control tundra CH4 fluxes. Wet hotspots are over-represented, while dry, net-sink sites are under-sampled. We paired over 13 000 chamber flux measurements during peak growing season in July (2019–2024) from Trail Valley Creek in the western Canadian Arctic with co-registered remotely sensed predictor variables to test how spatial resolution (1 m vs. 10 m) and choice of machine-learning algorithm shape upscaled CH4 flux maps over our 3.1 km2 study domain.
Abstract: This dataset accompanies the study on methane (CH₄) flux upscaling and model comparison in Arctic wetlands of Trail Valley Creek, Northwest Territories, Canada, covering the period July 2019–2024. It includes in situ chamber measurements of CH₄ flux and geospatial model outputs All spatial files are provided as GeoTIFFs. The original tabular data is in Excel format. This dataset supports the reproducibility of the modeling pipeline and is suitable for further ecological, statistical, or remote sensing analyses.
This dataset includes CH₄ flux measurements originally published in Voigt et al. (2023).
Supplemental Information Summary:
Research:
Further Info:
Ivanova, K., Virkkala, A.-M., Brovkin, V., Stacke, T., Widhalm, B., Bartsch, A., Voigt, C., Sonnentag, O., and Göckede, M.: High-resolution remote sensing and machine-learning-based upscaling of methane fluxes: a case study in the Western Canadian tundra, Biogeosciences, 23, 233–262, https://doi.org/10.5194/bg-23-233-2026, 2026.
Status: Complete
Keywords:
methane,
modeling,
meteorology,
Geographical coordinates: North: 68.74, South: 68.74 East: -133.50 West: -133.50
Bounding Temporal Extent: Start Date: 2019-01-01, End
Date: 2024-12-31
