Workshop on Operational Approaches to Managing Weather Risk

2-3 December 2004
Atlanta, Georgia, U.S.A.

The workshop is being hosted by: The School of Earth and Atmospheric Sciences at the Georgia Institute of Technology.

The workshop is being organized by: The Center for Time Series Analysis (CATS) at the London School of Economics (LSE), directed by Dr. Leonard Smith.

Support for the workshop is provided partially by the US Weather Research Program administered by the US National Oceanic and Atmospheric Administration (NOAA).

The workshop is based on a workshop held in the United Kingdom in June 2004 (http://www.smithinst.ac.uk/Events/WeatherRisk/index_html) that was sponsored by the Smith Institute. Attendees at the first workshop included: Atlantic Electric & Gas, Barclays Capital, British Energy, British Petroleum Economics Unit, British Petroleum, EDF Energy, EDF Trading Ltd, Edison Mission Energy, Enfield Energy Centre Ltd, Entergy Koch Trading, ECMWF, European Centre for Medium-Range Weather Forecasting, Gaz de France, Met Office, MetRisk Ltd, Morgan Stanley, Powergen, RHM Technology, Risk Management Solutions, RWE npower renewables, RWE Trading GmbH, Science Applications International Corporation, Scottish and Southern Energy plc, Smith Institute, Office of Gas and Electricity Markets, Total Gas & Power Ltd, VECTIS, and Weather Exchange.

The aim of the workshop is to increase awareness of the potential benefits of probabilistic weather forecasts in the industrial and commercial communities.

Topics include:
* weather risk
* probabilistic weather forecasting
* industrial and commercial applications of weather forecasts

The workshop will provide opportunities to examine specific problems of interest to the participants. Follow-up activity will be offered to help those who would like to apply these methods to their businesses.

This is an open meeting and all interested parties are invited to attend. However, attendance is strictly limited to 40 participants and registration is offered on a first-come, first-served basis.