Skip to main content
Loading page, please wait…
HomeCurrent AffairsEditorialsGovt SchemesLearning ResourcesUPSC SyllabusPricingAboutUPSC AI ToolsUPSC AI ToolAI for UPSCUPSC ChatGPT

© 2026 Vaidra. All rights reserved.

PrivacyTerms
Vaidra Logo
Vaidra

Top 7 items + smart groups

UPSC GPT
New
Mains Evaluator
Test Generator
Geography Lab
New
History Lab
New
Current Affairs
Daily Solutions
Daily Puzzle

Version 2.0.0 • Built with ❤️ for UPSC aspirants

Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...

IMD‑IITM Study Links Victoria Mode to Shifting Climate Zones Across India

A joint IMD‑IITM study links the Pacific‑based Victoria Mode to expanding semi‑arid steppe zones and shrinking tropical savannah areas across India, especially in the north‑west and north‑east. The climate shift threatens agriculture, water security, and could trigger population displacement, making it a critical topic…
Overview A joint research paper by IMD and the IITM shows that rising temperatures and falling rainfall are reshaping India’s climate zones. The study attributes the changes to the Victoria Mode (VM) , a lesser‑known Pacific Ocean phenomenon. Key Developments In north‑west India, the semi‑arid steppe zone expanded from 25.7% (1951‑80) to 33.1% (1991‑2020); the milder temperate zone fell from 25.8% to 18.7% . In the north‑east, the tropical savannah area dropped from 18.4% to 11.8% , while the temperate zone rose to 82.5% . Peninsular India saw the steppe zone shrink from 30.3% to 16.4% , while the savannah grew to 75.7% . The study links the negative phase of VM to reduced moisture transport over western and eastern Uttar Pradesh, Bihar, and Gangetic West Bengal, causing drying in these fertile plains. Important Facts The researchers used IMD’s gridded data (0.25° ≈ 25 km) for five consecutive 30‑year windows, starting each decade after the previous one. They compared North Pacific sea‑surface temperatures with rainfall over the northern plains (1981‑2020) to isolate the VM signal. While the PDO and the ENSO are known to affect the Indian monsoon, the paper notes that most VM events have been followed by El Niño episodes, though a direct causal link is not established. UPSC Relevance Understanding VM adds depth to the GS3 syllabus on climate variability and its impact on agriculture, water security, and migration. The shift from savannah to temperate zones in the Gangetic belt raises concerns about food‑grain production, a key topic for questions on food security and rural livelihoods. The study also illustrates the use of high‑resolution gridded datasets, relevant for questions on climate monitoring and data‑driven policy making. Way Forward Integrate VM monitoring into the existing monsoon forecasting framework to improve seasonal outlooks. Strengthen water‑conservation and drought‑mitigation programmes in the newly expanded steppe zones of north‑west India. Promote climate‑resilient cropping patterns in regions transitioning from tropical savannah to temperate conditions. Encourage interdisciplinary research linking Pacific Ocean dynamics (VM, PDO, ENSO) with Indian monsoon behaviour. Timely policy action based on these scientific insights can mitigate food‑security risks and reduce displacement of vulnerable populations.
Loading article...

Quick Reference

Key Insight

Victoria Mode drives expanding semi‑arid zones, demanding climate‑smart policy.

Key Facts

  1. The study is a collaboration between the India Meteorological Department (IMD) and the Indian Institute of Tropical Meteorology (IITM).
  2. North‑west India's semi‑arid steppe zone grew from 25.7% (1951‑80) to 33.1% (1991‑2020).
  3. Temperate zone in the same region fell from 25.8% to 18.7% over the same periods.
  4. Negative phase of Victoria Mode (VM) reduces moisture transport over western/eastern Uttar Pradesh, Bihar and West Bengal.
  5. VM is a Pacific Ocean sea‑surface temperature pattern distinct from the Pacific Decadal Oscillation (PDO) and ENSO.
  6. Researchers used IMD’s 0.25° (~25 km) gridded data across five consecutive 30‑year windows up to 2020.
  7. Most VM events have been followed by El Niño episodes, though a direct causal link is not proven.

Background

GS‑3 covers climate variability, its impact on agriculture, water security and migration. The study shows how a remote Pacific oceanic mode can reshape Indian climate zones, highlighting the need for data‑driven forecasting and adaptive policies.

UPSC Syllabus

  • Prelims_GS — Physical Geography of India
  • Prelims_GS — World Geography

Mains Angle

In a GS‑3 answer, discuss integrating Victoria Mode monitoring into monsoon prediction systems and its implications for food security and rural livelihoods.

Explore:Current Affairs·Editorial Analysis·Govt Schemes·Study Materials·Previous Year Questions·UPSC GPT
  1. Home
  2. Prepare
  3. Current Affairs
  4. Environment
  5. IMD‑IITM Study Links Victoria Mode to Shifting Climate Zones Across India
GS370% Exam Relevance
Login to bookmark articles
Login to mark articles as complete

Overview

Full Article

Overview

A joint research paper by IMD and the IITM shows that rising temperatures and falling rainfall are reshaping India’s climate zones. The study attributes the changes to the Victoria Mode (VM), a lesser‑known Pacific Ocean phenomenon.

Key Developments

  • In north‑west India, the semi‑arid steppe zone expanded from 25.7% (1951‑80) to 33.1% (1991‑2020); the milder temperate zone fell from 25.8% to 18.7%.
  • In the north‑east, the tropical savannah area dropped from 18.4% to 11.8%, while the temperate zone rose to 82.5%.
  • Peninsular India saw the steppe zone shrink from 30.3% to 16.4%, while the savannah grew to 75.7%.
  • The study links the negative phase of VM to reduced moisture transport over western and eastern Uttar Pradesh, Bihar, and Gangetic West Bengal, causing drying in these fertile plains.

Important Facts

The researchers used IMD’s gridded data (0.25° ≈ 25 km) for five consecutive 30‑year windows, starting each decade after the previous one. They compared North Pacific sea‑surface temperatures with rainfall over the northern plains (1981‑2020) to isolate the VM signal.

While the PDO and the ENSO are known to affect the Indian monsoon, the paper notes that most VM events have been followed by El Niño episodes, though a direct causal link is not established.

Exam Relevance

Understanding VM adds depth to the GS3 syllabus on climate variability and its impact on agriculture, water security, and migration. The shift from savannah to temperate zones in the Gangetic belt raises concerns about food‑grain production, a key topic for questions on food security and rural livelihoods. The study also illustrates the use of high‑resolution gridded datasets, relevant for questions on climate monitoring and data‑driven policy making.

Way Forward

  • Integrate VM monitoring into the existing monsoon forecasting framework to improve seasonal outlooks.
  • Strengthen water‑conservation and drought‑mitigation programmes in the newly expanded steppe zones of north‑west India.
  • Promote climate‑resilient cropping patterns in regions transitioning from tropical savannah to temperate conditions.
  • Encourage interdisciplinary research linking Pacific Ocean dynamics (VM, PDO, ENSO) with Indian monsoon behaviour.

Timely policy action based on these scientific insights can mitigate food‑security risks and reduce displacement of vulnerable populations.

Read Original on hindu

Victoria Mode drives expanding semi‑arid zones, demanding climate‑smart policy.

Key Facts

  1. The study is a collaboration between the India Meteorological Department (IMD) and the Indian Institute of Tropical Meteorology (IITM).
  2. North‑west India's semi‑arid steppe zone grew from 25.7% (1951‑80) to 33.1% (1991‑2020).
  3. Temperate zone in the same region fell from 25.8% to 18.7% over the same periods.
  4. Negative phase of Victoria Mode (VM) reduces moisture transport over western/eastern Uttar Pradesh, Bihar and West Bengal.
  5. VM is a Pacific Ocean sea‑surface temperature pattern distinct from the Pacific Decadal Oscillation (PDO) and ENSO.
  6. Researchers used IMD’s 0.25° (~25 km) gridded data across five consecutive 30‑year windows up to 2020.
  7. Most VM events have been followed by El Niño episodes, though a direct causal link is not proven.

Background & Context

GS‑3 covers climate variability, its impact on agriculture, water security and migration. The study shows how a remote Pacific oceanic mode can reshape Indian climate zones, highlighting the need for data‑driven forecasting and adaptive policies.

UPSC Syllabus Connections

Prelims_GS•Physical Geography of IndiaPrelims_GS•World Geography

Mains Answer Angle

In a GS‑3 answer, discuss integrating Victoria Mode monitoring into monsoon prediction systems and its implications for food security and rural livelihoods.

Analysis

Related PYQs

No related PYQs linked to this article yet.

Practice Questions

Prelims
Medium
Prelims MCQ

Oceanic climate patterns affecting Indian monsoon

2 marks
4 keywords
GS3
Easy
Mains Short Answer

Shift in climate zones and agricultural policy

8 marks
4 keywords
GS3
Hard
Mains Essay

Monsoon forecasting, oceanic influences, climate‑resilient policy

25 marks
6 keywords
Related:Daily•Weekly

Loading related articles...

Loading related articles...

Tip: Click articles above to read more from the same date, or use the back button to see all articles.

IMD‑IITM Study Links Victoria Mode to Shif... | UPSC Current Affairs