Impact Forecasting Toolkit: Paving the Way Towards Impact Forecasting

Hydrometeorological hazards, particularly tropical cyclones, pose a recurring threat to lives, livelihoods, and economic stability in vulnerable regions worldwide. Despite advancements in meteorological forecasting, the persistent gap between hazard prediction and actionable risk communication continues to undermine disaster preparedness and response. In Bangladesh, a country disproportionately affected by cyclones originating in the Bay of Bengal, early warning systems have historically reduced fatalities through timely alerts and infrastructure improvements. However, generic forecasts often fail to address the nuanced vulnerabilities of individual communities, resulting in varied impacts across the region with different livelihood sectoral damage. The critical challenge lies not in predicting what the weather will be but in communicating what the weather will do. While vital, traditional hazard-centric forecasts lack granularity in translating meteorological data into localized consequences. This limitation leaves disaster managers and communities unprepared to prioritize resources or implement targeted interventions, particularly in regions with heterogeneous exposure and vulnerability profiles.To address this gap, the Cyclone Impact Forecasting (IF) Toolkit demonstrates the paradigm shift toward impact-based decision-making. By integrating high-resolution hazard forecasts with dynamic vulnerability indices and sector-specific exposure data, this methodology enables the generation of location-specific impact scenarios. Grounded in multidisciplinary collaboration, the toolkit synthesizes advanced forecast products, socio-economic datasets, and remote sensing insights to quantify risks at both national (district) and sub-district (upazila) levels. For instance, during Cyclone Remal (2024), the integration of vegetation health indices allowed precise forecasting of agricultural losses, guiding preemptive harvests and asset protection in high-risk areas.