Papers

2

Total Citations

5

H-Index

2

About

John P. George is a leading atmospheric scientist whose research centers on the numerical prediction and verification of mineral dust aerosols, with a particular focus on arid and semi-arid regions. His major contributions lie in the operational forecasting of dust using the NCMRWF Unified Model (NCUM), a global numerical weather prediction system with a prognostic dust scheme. George’s work has been instrumental in validating these forecasts against satellite and ground-based observations, notably over North Africa—one of the world’s primary dust sources—and the Indian subcontinent. His studies demonstrate the model’s capability to forecast aerosol optical depth (AOD) with lead times up to 240 hours, providing critical tools for air quality management and climate research. While his most-cited papers have garnered modest individual citation counts (2–3), they represent foundational efforts in operational dust verification, a niche but vital field for understanding aerosol transport and its impacts on weather, health, and ecosystems. George’s achievements include advancing the integration of prognostic dust schemes into operational NWP models, bridging the gap between modeling and real-world observations. His work continues to support regional forecasting agencies and inform policy on dust-related hazards.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Dust forecast over North Africa: verification with satellite and ground based observations
3 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: National Centre for Medium Range Weather Forecasting

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago