CLIMATE HAZARD INTELLIGENCE PLATFORM

Every district
Every block
Every year since 1901

ClimIntellio, our ready-to-use climate hazard intelligence platform. Access high-resolution climate data, hazard maps, and projections tailored to your geography, sector, and risk profile. Our climate data enables powerful insights to build resilience, inform policy, and guide investments in a rapidly changing world.

120+ Years of Records 75 Years of Projections 3 SSP Pathways 13 Hazard Types 500+ Districts 5,000+ Sub-Districts 120+ Years of Records 75 Years of Projections 3 SSP Pathways 13 Hazard Types 500+ Districts 5,000+ Sub-Districts

INSIGHTS FROM CLIMINTELLIO, BUNDELKHAND, 123-YEAR RECORD

Synergistic Effects of Rising
Summer Temperatures & Decreasing Summer Season Rainfall

on Jhansi's Water Availability

Based on Indian Meteorological Department (IMD) daily gridded data 1901-2024

Access Full Report

123 yrs

Pre-monsoon rainfall
records (1901–2024)

driest

One of the driest
Pre-monsoon zones in UP

~30°C

Seasonal mean temp
(1981–2010 baseline)

8 blocks

Spatial risk
profiling, Jhansi

The Compounding Story PRE-MONSOON · ALL BLOCKS

Rain is splitting. Heat is universal.

↑ 4 BLOCKS

Babina, Badagaon,
Bangra, Mauranipur

↓ 4 BLOCKS

Moth, Bamaur,
Chirgaon, Gursarai

SCHEMATIC TREND DIRECTIONS · Analysis: ClimIntellio by ClimAgro Analytics · Data Source: IMD

Block-by-Block · Highest to Lowest Water Stress

District Brief Highlights

The Farmer's Reality

Farmers in Moth, Bamaur, and Gursarai are drilling deeper wells each year. This report puts 123 years of data behind what they have been saying — and shows it is getting worse, not better.

The Heat Story

Jhansi has one of the steepest rising heat-extreme trends in Uttar Pradesh. The same blocks losing rain are the ones whose heat extremes are intensifying — a compounding pressure on outdoor workers, crops, and agricultural credit risk.

The Water Demand Story

Pre-monsoon is peak agricultural and domestic water demand — precisely when rainfall is lowest and temperatures highest. Watershed investments and rural credit portfolios designed around old rainfall patterns face a growing mismatch with current conditions.

The Planning Gap

Water systems and rural programmes in Jhansi were built around historical climate norms. Block-level data now exists to inform where interventions are most urgent — and where existing schemes need to be reassessed.

CLIMINTELLIO

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Let ClimIntellio tell it.

The same climate intelligence is available for any of India's 600+ districts — ready for government institutions, watershed programmes, and financial bodies to act on.

contact@climagroanalytics.com · climagroanalytics.com · +91 9277 296 270

Every district Every block Every year since 1901

Synergistic Effects of Rising Summer Temperatures & Decreasing Summer Season Rainfall