The Climate Impact Company Advantage

Provider of expert analysis and forecasts of short-term events such as severe storms, snow and ice storms and tropical cyclones; unmatched recognition of climate signals and their influence on pattern change in the medium-range; leader in observation and prediction of global oceanic climate signals and their influence on seasonal climate forecasts.

Examples: Lead briefer for many energy companies operations and risk management groups for severe storms and tropical cyclone risks. Recognized climate forecast leader for energy and agriculture sectors.

Formed in 2004 Climate Impact Company has issued many thousands of forecasts to industry leaders including professionally formatted products, follow-up to initial forecasts ensuring lowest risk to the user and review/verification of results. Climate Impact Company stresses interaction with the client which is as important as meteorological skill.

Examples: Helped design alert criteria for severe storm influence on for a major U.S. electricity transmission and distribution system, lead provider of impacts from tropical cyclone events to the Gulf Coast for a major global energy pipeline system company and provider of high wind forecasts due to tropical events for nuclear power plants.

Whether it's a quick bullet on a model change through instant messaging, a conference call for a severe weather event or a power point presentation online or at a conference on all issues climate including seasonal forecasts Climate Impact Company is an industry leader communicating information.

Examples: Major weather event ahead but models showing a big change? Be the forest to know that change. Sudden stratospheric warming or an advancing Madden Julian oscillation develops? Be the first to know the impact on the climate pattern ahead.

Although providing forecasts is our primary concern Climate Impact Company is involved with research on better ways to make forecasts particularly in climate. Climate Impact Company provides both operational products and research review.

Examples: Implementing the evolution of non-tropical ocean thermal patterns (Atlantic multi-decadal oscillation and Pacific decadal oscillation) in climate forecasting. Adjusting temperature forecasts to the bias provided by snow cover and soil moisture.