Global Monthly Gross Primary Productivity Model, 1982-2016

NASA provides a 35-year global dataset of monthly average Gross Primary Productivity (GPP) modeled at an 8 km spatial resolution. The model refines the standard Monteith light use efficiency equation by optimizing LUE values with FLUXNET tower data, then extrapolates using climatic, landscape, and vegetation variables. This long-term record is derived from GIMMS3g FPAR and MERRA-2 meteorological inputs.

Use Cases

• Analyzing long-term trends in global vegetation carbon uptake using the 35-year monthly GPP time series.
• Calibrating other satellite-based productivity models against this optimized light use efficiency framework.
• Studying the spatial distribution of carbon flux by examining the 8 km resolution global grid.
• Investigating correlations between GPP and explanatory climatic or vegetation factors used in the model.

Strengths

• Covers a 35-year temporal range from 1982 to 2016, enabling analysis of long-term trends.
• Uses an optimized light use efficiency model calibrated with selected FLUXNET tower site data for improved accuracy.
• Provides consistent global coverage at a relatively high 8 km spatial resolution.

Limitations

• Key metadata such as row count, column names, and exact dataset size are unavailable from all sources.
• Conflicting last updated dates exist between platforms (2017 vs. 2026), creating uncertainty about versioning.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Modeled using an optimized Monteith LUE equation, FLUXNET data, GIMMS3g FPAR, and MERRA-2 meteorological information.

Time Range

1982-2016

Freshness

2026-03-13 02:12:58.368829

Geography

Global