Song et al. (2025) Global Gross Primary Productivity Estimation Using Passive Microwave Observations From China's Fengyun‐3D Satellite

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Journal of Geophysical Research Atmospheres
• Year: 2025
• Date: 2025-12-17
• Authors: Binbin Song, Qingyang Liu, Jiheng Hu, Yipu Wang, Peng Zhang, Lin Chen, Shengli Wu, Rui Li
• DOI: 10.1029/2025jd044385

Research Groups

Not explicitly mentioned in the abstract.

Short Summary

This study develops and validates EDVI-GPP, a novel microwave-based global gross primary productivity (GPP) estimation method, demonstrating its reliability and reduced cloud effects compared to existing products, with a global GPP estimate of 123.77 ± 1.33 Pg C yr⁻¹ for 2020–2022.

Objective

• To develop and validate a microwave-based global gross primary productivity (GPP) estimation method, EDVI-GPP, using the microwave emissivity difference vegetation index (EDVI) retrieved from China's Fengyun-3D satellite.

Study Configuration

• Spatial Scale: Global
• Temporal Scale: Daily (estimation), 8-day (validation), 2020–2022 (study period), annual-averaged (global consistency)

Methodology and Data

• Models used: EDVI-GPP model (incorporates diffuse radiation effect), Shuffled Complex Evolution-University of Arizona (SCE-UA) algorithm (for parameter tuning), Three-cornered hat (TCH) method (for uncertainty evaluation).
• Data sources: China's Fengyun-3D satellite (for EDVI), in situ GPP measurements from 163 eddy covariance flux sites (covering 10 major ecosystem types), FLUXCOM-GPP, MODIS-GPP, GLASS-GPP, PML-GPP, and GOSIF-GPP (for comparison).

Main Results

• EDVI-GPP provides daily temporal resolution GPP estimations applicable under both clear and cloudy skies.
• At 8-day temporal resolution, EDVI-GPP shows a coefficient of determination (R²) of 0.51 with in situ GPP measurements during 2020–2022, comparable to several mainstream GPP products, with a reduced bias of −0.46 gC m⁻² day⁻¹.
• On a global scale, the annual-averaged EDVI-GPP exhibits high spatial consistency (R = 0.71–0.74) with compared GPP products.
• The EDVI-GPP model quantifies the mean global GPP as 123.77 ± 1.33 Pg C yr⁻¹ from 2020 to 2022, which aligns closely with other published estimates.
• EDVI-GPP exhibits a large uncertainty in agricultural areas.

Contributions

• Development of a new microwave-based global GPP estimation method (EDVI-GPP) using Fengyun-3D satellite data.
• Incorporation of microwave-derived variables into daily GPP estimation on a global scale.
• Provision of a less cloud-affected and reliable daily GPP measurement.

Funding

Not explicitly mentioned in the abstract.

Citation

@article{Song2025Global,
  author = {Song, Binbin and Liu, Qingyang and Hu, Jiheng and Wang, Yipu and Zhang, Peng and Chen, Lin and Wu, Shengli and Li, Rui},
  title = {Global Gross Primary Productivity Estimation Using Passive Microwave Observations From China's Fengyun‐3D Satellite},
  journal = {Journal of Geophysical Research Atmospheres},
  year = {2025},
  doi = {10.1029/2025jd044385},
  url = {https://doi.org/10.1029/2025jd044385}
}