CFAN's seasonal forecasting solution combines state-of-the-art model-based forecast systems with a statistical/dynamical approach and predictability analysis that into a seasonal forecast product that consistently has better skill than our competitors.
Using seasonal climate forecast information in your decision making process requires an assessment of the confidence you can place in our forecast. Seasonal predictability can vary depending on the time of the year, location, and climatic regime. CFAN's comprehensive predictability and uncertainty analysis provides unique and critical information for your decision making process.
CFAN’s seasonal forecast product is based on both ECMWF and NOAA’s CFS model:
Monthly forecast summary provided by the 10th of the month
Provides overview of temperature and precipitation anomalies for next 6 months for the US and Europe
US temperature excedance graphics capture probabilistic view of temperature anomaly risk across the US
Additional in-depth meteorological components include: hemispheric height and temperature anomalies, ENSO, sea surface temperatures and teleconnections
In-depth summary report made available via the website contains key components from website along with additional analysis via ensemble clustering