Alaska Carbon Budgets and CO2 Exchange Estimates 2012-2014

2012-2014 data provides 3-hourly and daily mean estimates of net ecosystem CO2 exchange (NEE) at 0.5-degree resolution across Alaska, derived from CARVE aircraft data, WRF-STILT footprints, and flux tower measurements. The dataset includes annual carbon budgets for the entire state and for four landcover-based sub-regions: North Slope Tundra, South and West Tundra, Boreal Forests, and Mixed. This dataset was produced by the National Aeronautics and Space Administration.

Use Cases

• Modeling regional carbon budgets by analyzing annual contributions from biogenic, fossil fuel, and biomass burning sources.
• Studying diurnal and seasonal patterns of CO2 exchange using the 3-hourly NEE estimates.
• Comparing carbon flux dynamics across major Alaskan ecosystems using the four defined landcover sub-regions.
• Validating atmospheric transport models with the included CARVE aircraft atmospheric measurement data.
• Assessing spatial variability of net ecosystem exchange at a 0.5-degree resolution grid.

Strengths

• Provides high temporal resolution data with 3-hourly NEE estimates over a three-year period (2012-2014).
• Offers derived annual carbon budgets with source attribution for the entire state and four specific landcover regions.
• Integrates data from multiple measurement platforms, including aircraft, flux towers, and atmospheric modeling.

Limitations

• Specific column names and row counts are not provided by any source, limiting detailed structural understanding.
• There is a conflict in the 'last updated' metadata, with one source indicating 2014 and another indicating 2026.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Geostatistical Inverse Modeling of CARVE aircraft CO2 data, WRF-STILT footprints, and PVPRM-SIF data from flux towers.

Time Range

2012-2014

Freshness

2026-03-13 09:12:16.966869

Geography

State of Alaska at 0.5-degree resolution, with sub-regions: North Slope Tundra, South and West Tundra, Boreal Forests, and Mixed.