News Highlights
EMF22 Briefing "Climate Change Scenarios: U.S. Domestic and International Policy Architectures"
On June 4, 2009 the Energy Modeling Forum conducted a briefing in Washington DC
focusing upon stabilization and transition scenarios for climate change policy.
This EMF Briefing included an Overview and Introduction by Professor John P. Weyant, Stanford University; an International Overview presented by Dr. Leon Clarke, Joint Global Climate Change Research Institute, and the U.S. Overview presented by Dr. Alan Fawcett, of the U.S. Environmental Protection Agency
- » EMF Briefing on Climate Policy Scenarios: U.S. Domestic and International Policy Architectures
- » EMF 22: Climate Change Control Scenarios
December 1, 2008
2008 Adelman-Frankel Award
The United States Association for Energy Economics (USAEE) has recently announced that EMF director John Weyant has won the 2008 Adelman-Frankel Award for a unique and innovative contribution to the field of energy economics. The USAEE recognized Professor Weyant for being a pioneer in evaluating climate change models for use in national and international policy discussions. This award follows those given to former EMF director, Professor James Sweeney, in 2007 and to the Energy Modeling Forum as an organization is 2005.
September 1, 2008
Land Use Report Released
A new report EMF-21: Land in Climate Stabilization Modeling: Initial Observations is available for download.
July 25, 2007
World Natural Gas Markets and Trade
The EMF 23 working group issued a summary report on World Natural Gas Markets and Trade. Complementing this report will be a special issue of the Energy Journal comprised of individually authored articles by participating modelers and other experts. 
April 1, 2008
Snowmass Climate Change Workshops
Since 1995, EMF and has held a summer conference workshop at Snowmass, Colorado on Climate Change Impacts and Integrated Assessment. The Snowmass 2008 workshop focused on land use modeling, challenges for integrated assessment, the economics of technologies to combat global warming, and uncertainty analysis.


