Forest CO2 and COS Flux Data for GPP Estimation, 2013-2017

Five years of eddy covariance flux data for carbonyl sulfide and carbon dioxide, measured at the Hyytiälä forest in Southern Finland. The dataset includes in-situ meteorological data and derived gross primary production estimates from January 2013 to December 2017, as described in a 2022 manuscript by Kohonen et al. Raw data are available upon request from the author at the University of Helsinki.

Use Cases

• Compare methods for estimating gross primary production based on the provided COS and CO2 flux measurements.
• Model the relationship between meteorological conditions and carbon flux dynamics in a boreal forest ecosystem.
• Validate remote sensing or process-based models of photosynthesis using the derived GPP estimates.
• Analyze seasonal and interannual variability in forest-atmosphere gas exchange over a five-year period.

Strengths

• Data covers a continuous five-year period from 2013 to 2017, enabling long-term trend analysis.
• Includes co-located measurements of COS and CO2 fluxes alongside meteorological variables, supporting multi-faceted analysis.
• Derived GPP estimates are provided, offering a direct target variable for model calibration and validation.

Limitations

• Row count and file size are unknown, which may limit suitability assessment for large-scale ML projects.
• Column-level documentation is absent; field semantics must be inferred from the manuscript or after download.
• Raw data access requires a manual request to the author, which may delay immediate use.

Provenance

Source

University of Helsinki, based on measurements from the Hyytiälä forest station.

Collection Method

Collected via eddy covariance flux towers and in-situ meteorological sensors.

Time Range

January 2013 to December 2017

Geography

Hyytiälä forest in Juupajoki, Southern Finland