India Meteorological Department to use dynamic models for forecasts
GS3Economy · S&T · Environment · Security· IT, AI, semiconductors & computing· Prelims·
Why in news
The India Meteorological Department (IMD) is moving towards dynamic models for monsoon forecasting to address past prediction failures and account for climate change impacts.
Background
M Rajeevan of the National Atmospheric Research Laboratory stated that coupled ocean atmospheric models show improved interannual variability forecasting. Michel Jarraud of the World Meteorological Organisation highlighted the necessity of global data and advanced computing for accurate weather predictions.
Facts for Prelims
- S&TCoupled ocean atmospheric models are used to improve interannual variability forecasting skills.
- BodyNational Atmospheric Research Laboratory (NARL) is involved in monsoon prediction research.
- BodyWorld Meteorological Organisation (WMO) emphasizes global data and advanced computing for weather predictions.
For Mains
Q. Discuss how the integration of advanced computing and coupled ocean atmospheric models can enhance India's climate resilience and agricultural stability.
Dimensions to cover in your answer
- Data integration: Bridging the gap between traditional agricultural knowledge and high-resolution dynamic weather modeling
- Technological bottleneck: Requirement for high-performance computing infrastructure to process real-time global atmospheric data
Keywords: interannual variability · coupled ocean atmospheric models · climate resilience · dynamic forecasting · meteorological modeling
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