July 19, 2025 11:10 am

Cyclone Prediction Breakthrough: INCOIS Enhances India’s Coastal Resilience

CURRENT AFFAIRS: Cyclone Prediction Breakthrough: INCOIS Enhances India’s Coastal Resilience, INCOIS Cyclone Study 2025, Cyclone Tauktae Analysis, India Cyclone Strengthening Patterns, IMD Prediction Systems, Ocean Heat Content and Cyclones, Arabian Sea Storm Behavior, Rapid Cyclone Growth Bay of Bengal, India Vertical Wind Shear Data

Cyclone Prediction Breakthrough: INCOIS Enhances India’s Coastal Resilience

Cyclone Prediction Gets Smarter with INCOIS Research

Cyclone Prediction Breakthrough: INCOIS Enhances India’s Coastal Resilience: India’s cyclone forecasting just got a major upgrade, thanks to recent findings from the Indian National Centre for Ocean Information and Services (INCOIS). Scientists there have made a significant breakthrough by quantifying the impact of oceanic and atmospheric conditions on cyclone formation. This research, focused on understanding the complex mix of factors behind storm intensification, is expected to improve early warning systems and disaster preparedness across India’s vulnerable coastal states.

Cyclone Seasons and India’s Coastal Vulnerability

The Indian coastline faces frequent threats during two peak cyclone periods—April to May and October to December. Storms in May and November tend to be the most intense. While the Bay of Bengal produces 75% of cyclones, the Arabian Sea is increasingly seeing powerful storms. Many of these cyclones now show rapid intensification, making prediction more difficult and response time shorter for authorities and coastal communities.

Tauktae: A Turning Point in Cyclone Research

The research draws heavily from Cyclone Tauktae (May 2021), one of the deadliest storms to hit the Arabian Sea in the last decade. Tauktae reached wind speeds up to 220 km/h and caused tragic incidents, including the capsizing of Barge P305. The storm’s trajectory—coming within 140 km of India’s western coast before hitting Gujarat—provided a perfect case to study cyclone behaviour. INCOIS quantified the contribution to intensification as 54% atmospheric and 46% oceanic, marking a first-of-its-kind ratio assessment in India.

Factors That Intensify Cyclones

Key variables driving cyclone intensity include mid-atmospheric humidity, low-level absolute vorticity, vertical wind shear, and tropical cyclone heat potential. INCOIS researchers found that elevated humidity and warmer ocean temperatures before Tauktae’s formation hinted at a high-intensity storm. Their methodology, now validated using other cyclones like Amphan, Mocha, and Ockhi, strengthens its reliability and applicability in real-world conditions.

Future of Forecasting and Global Impacts

INCOIS is developing a forecasting tool to incorporate these scientific insights into operational use by agencies like the India Meteorological Department (IMD). This tool, once integrated, will boost India’s cyclone preparedness by offering more accurate predictions and faster alerts. What’s more, the model is scalable—allowing it to be applied to cyclones in other ocean basins, making it a global solution for climate adaptation in coastal regions.

STATIC GK SNAPSHOT

Cyclone Prediction Breakthrough: INCOIS Enhances India’s Coastal Resilience:

Aspect Details
Key Organisation Indian National Centre for Ocean Information and Services
Focus Cyclone Case Study Cyclone Tauktae (May 2021)
Peak Cyclone Seasons in India April-May & October-December
Major Cyclone Basin Bay of Bengal (75% of cyclones)
Key Findings Atmospheric factors (54%) vs Oceanic (46%) in cyclone intensity
Notable Intensification Factors Humidity, ocean heat potential, wind shear, vorticity
Forecasting Tool Development Underway by INCOIS for IMD use
Cyclones for Validation Ockhi, Amphan, Mocha

 

Cyclone Prediction Breakthrough: INCOIS Enhances India’s Coastal Resilience
  1. INCOIS has improved cyclone forecasting accuracy in India as of 2025.
  2. The research is based on Cyclone Tauktae (May 2021)—a major Arabian Sea storm.
  3. INCOIS assessed cyclone intensification as 54% atmospheric and 46% oceanic.
  4. The project boosts India’s disaster readiness and early warning systems.
  5. Cyclone seasons in India peak during April-May and October-December.
  6. The Bay of Bengal generates around 75% of India’s cyclones.
  7. Arabian Sea cyclones are growing stronger and more frequent.
  8. Cyclone Tauktae reached wind speeds of 220 km/h, causing Barge P305 to capsize.
  9. The study examined mid-atmospheric humidity, ocean heat, and vertical wind shear.
  10. Low-level absolute vorticity was another intensifying factor for storms.
  11. INCOIS’s method was validated with Cyclones Amphan, Mocha, and Ockhi.
  12. A new forecasting tool is being built for the India Meteorological Department (IMD).
  13. The tool aims to provide faster cyclone alerts and real-time modeling.
  14. The new model allows quantification of cyclone intensity triggers.
  15. The cyclone intensity tool will be part of India’s climate adaptation toolkit.
  16. This innovation is scalable to other ocean basins for global forecasting use.
  17. It will help reduce response time for coastal communities.
  18. The findings enhance operational preparedness for maritime and coastal defence.
  19. The system supports long-term disaster resilience planning.
  20. INCOIS’s cyclone tool is a landmark in India’s environmental science capability.

 

Q1. What was the key case study for INCOIS’s cyclone prediction research?


Q2. According to INCOIS, what percentage of cyclone intensification was attributed to atmospheric factors?


Q3. Which ocean basin contributes 75% of India’s cyclones?


Q4. Which variable is NOT listed as intensifying cyclones in the INCOIS report?


Q5. What is the name of the institution that conducted the cyclone study?


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