A forecast is not a decision: Design engineering for drought preparedness
More than 80 countries face chronic drought, yet only a third have systems in place to act before a drought arrives rather than after. The gap is costly. According to the United Nations Food and Agriculture Organization, every $1 invested in anticipatory action can save up to $7 in averted losses, while also helping protect lives and livelihoods before crisis conditions take hold. Acting early…
Millions of people in drought-stricken regions across 80 countries suffer each year, but only one-third have effective systems to prepare before a drought hits. The United Nations estimates that investing $1 in anticipatory action can prevent up to $7 in losses and save lives. Yet, the reasoning behind why more countries don’t adopt these practices remains unclear.
A Master of Design Engineering (MDE) thesis by Mitul Iyengar and Luke Fiorante sought to uncover this challenge. The researchers traveled to Mozambique, a nation with a robust government-led drought anticipatory action system, to investigate. Their investigation revealed that the core issue lies not in predicting droughts, but in determining the right moment to act.
Reliable seasonal forecasts are available, yet deciding when a forecast justifies action is the hard part. A "trigger" sets this threshold—a balance between avoiding unnecessary mobilization when a forecast is uncertain and missing the opportunity when a drought is imminent. This decision involves statistical analysis, political considerations, and local expertise.
In Mozambique, a national technical working group, comprising meteorologists, disaster managers, and other experts, collaboratively sets the trigger by analyzing extensive climate data and testing numerous thresholds against 25 years of drought history. The process, currently a manual and opaque task, is costly to replicate elsewhere.
Iyengar and Fiorante developed a platform called Ground State designed to democratize trigger calibration. Ground State automates the complex analysis into a repeatable workflow that national meteorological services can run independently. The tool presents a clear, interactive map of a country’s drought history, allowing users to adjust thresholds and instantly see the impact on drought forecasts and false alarms.
It operates without requiring specialized training or IT support, making it accessible to any nation. The researchers piloted the tool with Mozambique’s National Institute of Meteorology and the World Food Programme, aiming to launch it in new districts during the upcoming drought season. Ground State aims to empower countries to make informed, locally governed decisions about drought preparedness, rather than relying on automated recommendations.
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