Google’s SEEDS AI model utilizes probabilistic diffusion models to analyze weather data, including air pressure and atmospheric energy, and identify their interconnections. This technique, gaining popularity in weather and climate applications, empowers SEEDS to capture rare events that traditional models may overlook.
SEEDS’ ability to generate a vast number of forecasts allows researchers to delve into a broader range of possible weather scenarios. It potentially provides a more comprehensive understanding of impending hazardous events, leading to more accurate and timely forecasts.
Traditional weather prediction methods are resource-intensive and often fail to capture critical details of severe weather events. SEEDS, on the other hand, holds the promise of capturing these rare occurrences, enhancing our ability to prepare for and mitigate their impact.
Google’s commitment to weather and climate research underscores the significance of reliable weather information in the face of climate change. SEEDS represents a significant step forward in this field, opening up novel avenues for weather and climate science.
