Integration of Linear Dynamic Emission and Climate Models with Air Traffic Simulations

Future air traffic management systems are required to balance the conflicting objectives of maximizing safety and efficiency of traffic flows while minimizing the climate impact of aviation emissions and contrails. Integrating emission and climate models together with air traffic simulations improve the understanding of the complex interaction between the physical climate system, carbon and other greenhouse gas emissions and aviation activity. This paper integrates a national-level air traffic simulation and optimization capability with simple climate models and carbon cycle models, and climate metrics to assess the impact of aviation on climate. The capability can be used to make trade-offs between extra fuel cost and reduction in global surface temperature change. The parameters in the simulation can be used to evaluate the effect of various uncertainties in emission models and contrails and the impact of different decision horizons. Alternatively, the optimization results from the simulation can be used as inputs to other tools that monetize global climate impacts like the Federal Aviation Administration's Aviation Environmental Portfolio Management Tool for Impacts.

• Record URL:
  http://www.aviationsystemsdivision.arc.nasa.gov/publications/2012/AIAA-2012-4756.pdf
• 
• Authors:
  • Sridhar, Banavar
  • Ng, Hok K
  • Chen, Neil Y
• Conference:
  • AIAA Guidance, Navigation, and Control Conference, 2012
  • Location: Minneapolis MN, United States
  • Date: 2012-8-13 to 2012-8-16
• Publication Date: 2012-8-13

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: 15p

Subject/Index Terms

• TRT Terms: Air pollution; Air traffic; Air traffic control; Climate; Environmental impacts; Greenhouse gases; Optimization; Traffic simulation
• Uncontrolled Terms: Contrails; Integrated models
• Subject Areas: Aviation; Environment; I15: Environment;

Filing Info

• Accession Number: 01480393
• Record Type: Publication
• Report/Paper Numbers: AIAA 2012-4756
• Files: TRIS
• Created Date: Apr 30 2013 4:03PM