As floods continue to leave a trail of destruction across parts of Ghana, the conversation is beginning to shift. It's no longer only about clearing drains or responding after communities have been inundated.
Increasingly, attention is turning to whether flood forecasting technology can help the country stay one step ahead.
For Henry N.A. Cobblah, Lead at iSolveAfrica Ltd, the challenge is not simply about weather. It is about information and how that information is used.
"Floods right now are not just natural disasters as we would see it. I see it more as a data and technology issue," he said, arguing that Ghana has yet to fully embrace digital tools that are already transforming disaster management elsewhere.
From Reactive to Predictive
Cobblah believes Ghana's biggest weakness is not the absence of technology but the limited use of it.
Drawing a comparison with countries that experience frequent rainfall, he noted that heavy rain does not automatically translate into widespread flooding.
"If you've lived in London... almost four out of the five, seven days usually are all rainy days and they do not really cause problems," he said, attributing that resilience to stronger data systems and better planning rather than differences in rainfall alone.
He admitted that even simple weather applications are rarely considered essential in Ghana, a sign, in his view, that predictive tools have not yet become part of everyday decision making.
"We're more reactive than predictive in this space," he observed. "There are more we could do, not just within the space of technology but in terms of implementation and policy as well."
AI Could Change the Equation
Artificial Intelligence, Cobblah argued, offers practical opportunities rather than futuristic promises.
By analysing decades of rainfall records, flood patterns and environmental data, AI systems could identify trends that are difficult for humans to detect. Those insights could then be used to predict which communities face the greatest risk before heavy rainfall begins.
"So more of AI could really be deployed in doing more of the analysis of decades of rainfall and flooding data," he explained.
He added that AI models could also help identify high risk zones and support emergency planning by giving authorities more time to prepare vulnerable communities.
Satellites Offer a Wider View
Technology from space could play an equally important role.
According to Cobblah, satellite data can provide near real time information on rainfall intensity, river levels and changing environmental conditions, allowing emergency agencies to monitor developing threats far more effectively than traditional methods.
Combined with geospatial analytics, those systems could improve the accuracy of flood forecasts while helping decision makers allocate resources before disaster strikes.
The discussion highlights a growing recognition that climate resilience is becoming as much a technology challenge as an environmental one.
For Ghana, the tools already exist. The larger question is whether institutions can move quickly enough to integrate data, artificial intelligence and modern forecasting systems into everyday disaster management. If they do, future floods may no longer catch communities by surprise.
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