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The extreme science of climate forecasting | FT Climate Capital
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- ESG Insights
Unlocking Climate Secrets: #Satellites #Data #Innovation Key Takeaways:
- Satellites crucial for large-scale climate observation and data collection.
- Integration of AI and machine learning enhances short-term weather forecasting.
- International collaboration vital for comprehensive climate understanding and action.
Further Insights
Climate Data Tsunami: The quality and quantity of data being collected by satellites and instruments on land and at sea is unprecedented, leading to significant advancements in our understanding of climate patterns.
Unified Trends: Despite different methodologies among climate agencies, there's a unanimous agreement on the increasing trend of surface and sea temperatures, underscoring the consistency and accuracy of global climate data.
Technological GameChanger: Around 100 dedicated meteorological satellite instruments are currently in operation, offering critical insights into various climate parameters, from methane emissions to sea ice thickness.
Historical Pattern Analysis: Machine learning models, through the analysis of vast datasets, have shown promise in forecasting future weather events, even accurately predicting rare occurrences like Hurricane Sandy.
Collaboration and Sharing: The open exchange of satellite data among international weather centers underscores a strong global collaborative effort crucial for building a comprehensive picture of the climate.
Oceanic Insights: Despite the extensive data collected from above, conventional sampling methods remain essential for verifying satellite data and exploring ocean depths beyond the reach of satellites.
AI's Forecasting Promise: AI and machine learning systems are increasingly used for short-term weather forecasting, offering the potential to improve the accuracy of weather predictions through data-driven insights.
Closing Thoughts: As we leverage advanced technologies and foster international cooperation to understand our changing climate, how can we better harness this wealth of data to accelerate global climate action?