Improving the long-lead predictability of El Niño using a novel forecasting scheme based on a dynamic components model

Engineering

• Subsurface 100%
• Component Model 100%
• Dynamic Component 100%
• Lead Time 50%
• Kalman Filter 50%
• State-Space Methods 50%
• Half Year 50%
• Seasonal Cycle 50%
• Parameter Estimation 50%
• Dynamic Models 50%
• Regular Base 50%

Earth and Planetary Sciences

• Time Series 100%
• Climate Variation 33%
• State of the Art 33%
• El Nino-Southern Oscillation 33%
• Dynamic Models 33%
• Ocean Temperature 33%
• Parameter Estimation 33%
• Sea Surface Temperature 33%
• Kalman Filter 33%
• Timescale 33%