Odisha has long stood at the frontline of India’s battle with natural disasters. Cyclones, floods, and droughts have shaped its history, economy, and governance systems. Yet, a deeper and more complex transformation is underway- one that is less visible but far more pervasive. Climate variability, especially rising temperature extremes and heatwaves, is emerging as a dominant driver of disaster risk. Recent research on hydro-meteorological disasters in Odisha attempts to unravel this evolving risk landscape and proposes a paradigm shift in how we understand and manage disasters.
Traditional disaster management frameworks have largely focused on individual extreme events like cyclones, floods, or droughts. However, modern climate science shows that disasters are not merely triggered by isolated events but are conditioned by long-term climatic variability, persistence, and warming trends. Odisha’s geographical location along the Bay of Bengal, coupled with its dense river systems and monsoon-dependent climate, makes it exceptionally vulnerable to multiple interacting hazards.
The research adopts a climate-hazard-centric approach, shifting focus from events to the underlying climatic processes that amplify risk. Temperature, in particular, is identified as a cross-cutting driver influencing not only heatwaves directly but also floods, droughts, and lightning indirectly.
The study was guided by four core objectives: ensuring the reliability of long-term temperature data, quantifying climate variability and extremes, assessing heatwaves as an emerging major hazard, and developing an integrated risk assessment framework linking climate variability with disaster risk.
A key innovation lies in data homogenisation, a process that corrects inconsistencies caused by station relocation, instrumentation changes, and urbanisation effects. Using statistical and graphical techniques, the study demonstrates that raw climate data often contains artificial biases that can distort risk assessment. Once corrected, temperature records reveal more consistent variability patterns and realistic trends, reinforcing the importance of reliable data.
One of the most significant findings is that climate variability and not just long-term warming is the primary driver of disaster risk. Variability determines whether critical thresholds are crossed, triggering extreme events. Several anomalous years coincide with large-scale climatic phenomena such as El Niño, highlighting the role of global climate systems.
Heatwaves have emerged as a rapidly intensifying hazard. The frequency, duration, and persistence of heatwaves have increased significantly in recent decades. They now extend from March to June, often intensifying just before the onset of the monsoon. Interior regions face higher risk compared to coastal areas, where sea-breeze effects provide some moderation.
The severity of heatwaves is driven more by persistence than peak temperature alone. This has profound implications for public health, agriculture, and labour productivity. Despite causing substantial mortality and economic losses, heatwaves remain under-recognised in disaster policy.
Another key insight is the simultaneous increase in mean temperature and variability. Recent decades exhibit higher temperature variance compared to earlier periods, indicating a destabilising climate system. This breakdown of historical patterns means that past data may no longer reliably predict future risks.
The research also highlights spatial inequalities. Inland regions experience higher temperature variability and heatwave intensity, while coastal regions benefit from maritime moderation but remain vulnerable to cyclones and flooding. This calls for location-specific adaptation strategies.
The role of global climate systems such as ENSO is significant. El Niño years are associated with higher temperature anomalies and increased heatwave probability. Incorporating such signals into forecasting can improve preparedness.
The study proposes an integrated risk assessment framework linking climate variability with hazard, exposure, and vulnerability. Temperature variability drives direct impacts through heat stress and indirect impacts through altered rainfall patterns. It also creates compound risks where multiple hazards interact.
The policy implications are clear. Heatwaves must be recognised as major disasters. Climate data must be rigorously standardised. Risk assessments must incorporate variability indicators rather than relying solely on averages. Seasonal forecasting should integrate global climate signals. Adaptation planning must be region-specific, and heat action plans must be strengthened.
The overarching message is that climate variability is redefining disaster risk. Traditional approaches are no longer sufficient. A forward-looking, climate-informed approach is essential for resilience.
Odisha has demonstrated leadership in cyclone management, significantly reducing mortality over the years. The next frontier lies in addressing temperature-driven risks, particularly heatwaves, which pose a growing threat to human well-being and economic stability.
As climate change accelerates, invisible drivers such as variability and persistence are becoming more important than isolated extremes. The challenge is not merely to respond to disasters, but to anticipate and manage the changing climate conditions that create them.
Bishnupada Sethi
The author is an IAS Officer and serves as the Chairman of the Odisha Forest Development Corporation (OFDC) and continues as the Chief Administrator of the KBK districts.
