By Akash Yadav, AIDMI, India

Extreme heat is getting worse across India. It is becoming more intense, more frequent, and reaching new areas. With climate change, its impact is only increasing. One of the most important tools we have to respond to this challenge is our own history. By studying past heatwaves and disaster data, both governments and communities can plan ahead. This helps protect people’s health, reduce financial losses, and prevent damage to essential services and infrastructure.

1. Understanding Historical Disaster Data

Historical disaster data includes past records of heatwaves, temperature trends, mortality rates, and socio-economic impacts. Sources of such qualitative and quantitative data include:

• Community surveys and case studies highlighting vulnerable populations such as women, outdoor workers, displaced communities, small business, and minorities, and their local coping strategies.
• Meteorological records from the India Meteorological Department (IMD).
• Health reports documenting heat-related illnesses and deaths.
• Economic and agricultural data showing crop failures and farm labour productivity losses.

Studying this data helps pinpoint high-risk areas, vulnerable populations, and how well previous public and private interventions have worked. In March 2025, a multi-disciplinary team from Harvard, along with extreme heat experts from leading climate institutes, highlighted the importance of such data during a dialogue with small businesses affected by heat in Ahmedabad.

2. Enhancing Early Warning Systems

Historical data improves early warning systems by enabling more accurate predictions. Key strategies include:

• Issuing timely alerts to the most affected population through SMS, social media, and local news channels.
• Developing heatwave forecasting models using temperature trends and previous heatwave patterns.
• Implementing colour-coded warning systems to indicate heat severity levels.

Predictive analytics can support both governments and communities in taking timely, proactive steps before heatwaves become a threat to lives and livelihoods. At the Colombo Dialogue on Disaster Risk Reduction in September 2024, convened by Duryog Nivaran, participants from multiple agencies emphasised the need to shift from early warning systems to anticipatory action for extreme heat, using historical data and past experiences as a guide.

3. Strengthening Public Health Preparedness

Data-driven insights enable targeted health interventions, such as:

• Allocating medical resources such as cooling centres, hydration stations, and emergency response teams in addition to “ready-for-action” ambulances and clinics.
• Identifying high-risk areas where heat-related illnesses have been frequent or severe.
• Training public and private healthcare workers on heat-related illness management, cure, and prevention.

By leveraging past health records, authorities can ensure better medical preparedness with a focus on public health in addition to occupational health hazards and reduce mortality rates.

4. Protecting Livelihoods and Agriculture

Extreme heat affects farmers, outdoor workers, and industries. Historical climate data helps:

• Develop heat-resilient cropping patterns based on past drought and heatwave impacts.
• Schedule work shifts for labourers during cooler hours.
• Promote water conservation techniques such as drip irrigation and rainwater harvesting.

By incorporating data on past agricultural losses into policy planning, authorities can better support rural communities in adapting to extreme heat. At the Extreme Heat and Climate Resilience workshop in Guwahati 2025, the Honourable Revenue Minister of Assam highlighted the growing need for collaboration between state authorities and key stakeholders to protect livelihoods and agriculture from the impacts of extreme heat, using historical data as a foundation.

5. Designing Climate-Resilient Infrastructure

Urban heat islands worsen extreme heat effects in cities. Historical temperature data helps in:

• Expanding tree cover in areas with high past temperature records to start with, and cover all open areas with trees and vegetation.
• Designing heat-resistant public buildings such as railway station or ward offices with reflective roofing and green spaces.
• Improving water management systems to prevent heat-induced droughts and water shortages and address the heat island effect.

Data-driven urban planning reduces the long-term impacts of heatwaves on infrastructure and public health.

6. Engaging Communities in Resilience Planning

Using historical disaster data to educate and engage affected communities strengthens local resilience. Strategies include:

• Encouraging behavioural changes such as increased hydration and avoiding outdoor activities during peak heat hours.
• Heat awareness for action campaigns based on past incidents and solutions.
• Community-led heat action plans using traditional knowledge and scientific data on solutions.

Local multiple participation ensures that interventions are practical, sustainable, and widely adopted.

Conclusion: Leveraging historical climate data enables proactive planning, better resource allocation, and improved crisis responses to extreme heat in India. By integrating past lessons into forecasting, health, infrastructure, and community strategies, India can build even better long-term resilience and reduce the devastating impacts of heatwaves to its citizens.