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Twin Cyclonic Threats in the North Indian Ocean Region

Why in News ?

  • The India Meteorological Department (IMD) has reported two simultaneous cyclonic systems developing on either side of India —
    • Cyclone Montha in the Bay of Bengal,
    • and a persistent depression in the Arabian Sea.
  • Such twin cyclonic formations are rare but indicate a hyperactive North Indian Ocean phase.
  • Cyclone Montha is expected to make landfall near Kakinada (Andhra Pradesh) on October 28, 2025, while the Arabian Sea system is moving towards Gujarat.

Relevance:

  • GS-1 (Geography): Tropical cyclones – formation, classification, and regional patterns (Bay of Bengal vs Arabian Sea).
  • GS-3 (Environment): Climate change impact on cyclone intensity and frequency (IPCC AR6 linkage).
  • GS-3 (Disaster Management): Role of IMD, NDMA, NCRMP, and early warning systems.

Meteorological Context

  • Formation dates:
    • Bay of Bengal system formed October 24, intensified rapidly into Cyclone Montha by October 26.
    • Arabian Sea depression formed on October 22 — has not intensified or dissipated.
  • Movement patterns:
    • Cyclone Montha: Moving NNW at ~18 km/hr, currently ~520 km ESE of Chennai.
    • Arabian Sea depression: Highly erratic track — NW → NE → N → W → S → N again; now drifting towards Gujarat coast.
  • Wind speeds (IMD forecast):
    • Sustained: 90–100 km/hr
    • Gusts: Up to 110 km/hr
    • Classified as a Severe Cyclonic Storm (SCS).
  • Expected impact:
    • Storm surge: ~1 metre above astronomical tide, threatening low-lying areas of coastal Andhra Pradesh and Yanam (Puducherry).
    • Rainfall: Very heavy to extremely heavy rainfall over Andhra Pradesh, Odisha, Chhattisgarh, and Telangana.

Technical & Climatic Analysis

  • Faster-than-expected intensification due to:
    • High sea surface temperature (SST): ~30–31°C in Bay of Bengal.
    • Strong convection and latent heat release in the mid–upper troposphere.
    • Low vertical wind shear enabling organized circulation.
  • Twin cyclones phenomenon:
    • Known as “Basin Dipole Activity”, where simultaneous low-pressure systems form in both the Bay of Bengal and Arabian Sea.
    • Typically arises from enhanced Madden–Julian Oscillation (MJO) activity and Indian Ocean warm pool anomalies.
  • Climatic context:
    • October–November is the post-monsoon cyclone season, contributing 25–30% of annual cyclonic activity in the North Indian Ocean.
    • Bay of Bengal accounts for ~80% of cyclones in this basin; Arabian Sea for the remaining 20%.

Comparative Dynamics

Feature Cyclone Montha (Bay of Bengal) Arabian Sea Depression
Formation Date October 24, 2025 October 22, 2025
Status Severe Cyclonic Storm (SCS) Depression
Wind Speed 90–110 km/hr 30–40 km/hr
Landfall Forecast Near Kakinada (Andhra Pradesh) Moving towards Gujarat coast
SST Influence 30–31°C 29–30°C
IMD Alert Red alert for East Coast No official alert yet

Environmental & Socioeconomic Implications

  • Risk to coastal infrastructure: High wind + storm surge → potential damage to ports, power lines, and fishing harbours.
  • Agricultural impact: Possible crop loss in Andhra Pradesh, Odisha, and Telangana, especially in paddy and horticulture zones.
  • Marine hazards: Disruption of shipping routes in both Bay of Bengal and Arabian Sea.
  • Humanitarian preparedness: NDRF and state disaster management authorities placed on high alert.

Scientific and Policy Significance

  • IMD’s Early Warning System:
    • Use of INSAT-3D/3DRGFS, and ECMWF data for real-time tracking.
    • Demonstrates improved predictive accuracy under the National Monsoon Mission.
  • Climate linkage:
    • Strengthening evidence of warming-induced cyclone intensification in the North Indian Ocean.
    • Aligns with IPCC AR6 finding — increase in rapid intensification events since 1990s.
  • Policy relevance:
    • Supports India’s National Cyclone Risk Mitigation Project (NCRMP) under NDMA.
    • Reinforces need for urban flood resilience and coastal infrastructure hardening under PM Gati Shakti and Blue Economy Vision 2047.

Conclusion

  • The twin cyclonic systems — Montha in the Bay of Bengal and the Arabian Sea depression — represent a critical climate–weather intersection.While Cyclone Montha is a near-term threat to the east coast, the western depression underscores persistent oceanic heat anomalies and shifting monsoonal dynamics.
  • This episode highlights the growing complexity of India’s cyclonic climatology, demanding integrated early-warning systems, coastal adaptation measures, and regional cooperation in disaster risk reduction.

Static Revision

Definition and Classification

  • Cyclone: Rapidly rotating storm system characterized by a low-pressure center, strong winds, and heavy rainfall.
  • Types (based on wind speed – IMD classification):
  Wind Speed (km/hr) Example
Low Pressure Area <31 Monsoon lows
Depression (D) 31–49 Monsoon depressions
Deep Depression (DD) 50–61 Pre-cyclone phase
Cyclonic Storm (CS) 62–88 Cyclone Sitrang (2022)
Severe Cyclonic Storm (SCS) 89–117 Cyclone Montha (2025)
Very Severe Cyclonic Storm (VSCS) 118–165 Cyclone Tauktae (2021)
Extremely Severe Cyclonic Storm (ESCS) 166–220 Cyclone Amphan (2020)
Super Cyclonic Storm (SuCS) ≥221 Odisha Super Cyclone (1999)

Structure of a Tropical Cyclone

  • Eye: Calm center with descending air and clear skies.
  • Eye Wall: Ring of towering cumulonimbus clouds with strongest winds and rainfall.
  • Spiral Rainbands: Bands of clouds and thunderstorms spiraling towards the center.
  • Energy Source: Latent heat released by condensation over warm ocean waters (≥26.5°C).

Conditions Favourable for Cyclone Formation

  1. Warm sea surface temperature (≥26.5°C) up to 60 m depth.
  2. Coriolis force (absent near Equator → cyclones form between 5°–15° N/S).
  3. High humidity in the lower–mid troposphere.
  4. Atmospheric instability promoting convection.
  5. Low vertical wind shear (<10 m/s).
  6. Pre-existing low-pressure disturbance or intertropical convergence zone (ITCZ) perturbation.

North Indian Ocean (NIO) Cyclone Basin

  • Extent: Between 45°E–100°E longitude, including Bay of Bengal (BoB) and Arabian Sea (AS).
  • Seasonal Peaks:
    • Pre-monsoon: April–June
    • Post-monsoon: October–December (more intense)
  • Cyclone frequency (IMD average 1891–2020):
    • Bay of Bengal: ~5.5 cyclones/year (~80% of total NIO cyclones)
    • Arabian Sea: ~1.5 cyclones/year (~20%)
  • Recent trend: Frequency in Arabian Sea increasing due to rapid warming; BoB remains dominant in intensity.

Reasons for Bay of Bengal’s Higher Cyclonic Activity

  • Warmer SSTs (average 29–31°C).
  • Abundant moisture from rivers and monsoon outflow.
  • Shallow sea and high latent heat flux.
  • Remnant low-pressure systems from Pacific crossing over via Myanmar.
  • Weak vertical wind shear during transition seasons.
  • Favorable Madden–Julian Oscillation (MJO) phase more frequent.

Arabian Sea Cyclones — Emerging Concern

  • Earlier: Cooler waters and stronger wind shear inhibited cyclones.
  • Now (post-2000): Warming trend of +1.2°C/decade; conducive for more VSCS (Tauktae, Mekunu, Vayu, Biparjoy).
  • Driven by:
    • Indian Ocean Dipole (IOD) phases.
    • Anthropogenic warming of Western Indian Ocean.
    • Reduced aerosol loading increasing solar absorption.

Naming of Cyclones

  • Initiated in 2004 by WMO/ESCAP Panel on Tropical Cyclones.
  • Member countries: 13 (India, Bangladesh, Pakistan, Myanmar, Thailand, Sri Lanka, Maldives, Oman, UAE, Yemen, Qatar, Iran, Saudi Arabia).
  • Names are pre-determined and rotated in lists — next name after Montha will be from Myanmars contribution.

Indian Meteorological Institutions & Monitoring

  • Nodal Agency: India Meteorological Department (IMD) – Regional Specialized Meteorological Centre (RSMC), New Delhi.
  • Other key institutions:
    • National Centre for Medium Range Weather Forecasting (NCMRWF)
    • Indian National Centre for Ocean Information Services (INCOIS)
    • National Disaster Management Authority (NDMA)
    • National Cyclone Risk Mitigation Project (NCRMP)
  • Technology used: INSAT-3D/3DR, Doppler weather radars, GFS, ECMWF, and satellite-based SST data.

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