PeatBog

Process eddy covariance flux tower data for peatland carbon exchange

Environmental AIFree

PeatBog processes raw eddy covariance sonic anemometer and gas analyzer data through spike removal, coordinate rotation, WPL density corrections, and spectral corrections to compute half-hourly CO2 and CH4 flux estimates over peatland ecosystems. The tool applies friction velocity filtering to exclude stable nighttime periods and fills data gaps using marginal distribution sampling. Annual carbon budget integration partitions net ecosystem exchange into gross primary production and ecosystem respiration components.

Key Features

• ✓Eddy covariance processing
• ✓WPL density corrections
• ✓Gap filling algorithms
• ✓NEE partitioning
• ✓Annual carbon budgets