Rain on an iron-sheet roof can sound like reassurance. Dust settles, gardens turn green, farmers return to their fields, and seasonal streams begin to fill. After a dry spell, the change is welcome. It is also the moment when drought quietly slips out of public discussion.
That is a mistake.
A wet day is not the same thing as water security. Even a rainy month cannot, by itself, tell us whether crops will receive enough water throughout the growing season, whether groundwater and reservoirs are recovering, or whether the next dry spell will arrive when plants are most vulnerable. The better question is therefore not simply, ‘Is it raining?’ It is, ‘What is this rain doing for our soils, crops and water systems, and what happens if it stops too soon?’
The science helps explain why. Drought is not one single condition that begins and ends with the first raindrop. Meteorological drought refers to rainfall remaining below what is normal for a place and period. Agricultural drought occurs when water in the root zone is insufficient for crops. Hydrological drought appears in depleted rivers, reservoirs and groundwater. These forms of drought are connected, but they do not always begin or end at the same time. A storm may wet the topsoil while deeper water stores remain low.
Nor does every millimetre of rainfall become water that a crop can use. Rainfall intensity, soil structure, land cover and slope all affect infiltration. When rain falls faster than compacted or degraded soil can absorb it, much of the water runs off, sometimes carrying valuable topsoil with it. According to FAO guidance on soil and water management, reduced infiltration can also limit groundwater recharge. The field may look wet for a few days while the soil profile still stores too little moisture to carry a crop through a later dry spell.
Timing matters just as much as total rainfall. Water stress during a sensitive crop stage, such as flowering or grain filling, can do more damage than the same number of dry days at another point in the season. Higher temperatures can intensify the problem by increasing evaporation from soil and water loss through plants. This is why a season with a respectable rainfall total can still produce poor yields if the rain arrives late, falls in a few intense bursts, or pauses at the wrong moment.
Uganda’s own National Climate Change Policy recognises that climate change will influence rainfall variability and affect rain-fed farming systems. Yet our public response still tends to move between two extremes: relief when rain returns and alarm when crops begin to fail. By the time drought becomes visible in empty water sources, wilted crops and rising food prices, preparedness has already become emergency response.
This is where the Food and Agriculture Organization’s Drought Impact Assessment Platform, or d-iap, offers a useful change in thinking. It is not a weather forecast and it does not tell a farmer whether rain will fall tomorrow. Instead, it helps users examine how different levels of water stress could affect particular crops, agricultural income, water productivity and irrigation needs under present and future climate conditions.
At the platform’s core is AquaCrop, FAO’s crop-water productivity model. D-iap combines crop modelling with global and regional datasets to assess rain-fed and irrigated production at a grid of roughly nine by nine kilometres. It covers up to 16 crops and can compare current conditions with mid-century and end-century projections from five global climate models under three climate pathways. For rain-fed crops, it shows the probability of mild yield losses of less than 30 per cent, moderate losses of 30 to 70 per cent, and severe losses above 70 per cent. It also estimates associated income losses and the irrigation water that might be needed to reduce drought impacts. FAO explains the methodology and indicators in detail.
Those figures are not certainties, and they should never replace local weather advisories, field observations or farmers’ knowledge. A global model cannot see every farm, soil type, seed variety or household constraint. Its value lies elsewhere: it turns drought from a vague future threat into a set of crop-specific planning questions. Where are yield losses most likely? Which crops face the greatest risk? How much water may be required? What could those losses mean for household income? And how might those answers change as the climate changes?
For Albert, that distinction is the scientific heart of the issue. We often treat drought as an event that becomes real only when we can see cracked soil or failed crops. But crop-water models allow us to work backwards from possible losses and ask what can be done before the damage occurs. If a district knows that a particular crop faces a high probability of severe loss under water stress, it can consider planting calendars, soil-moisture conservation, water harvesting, supplementary irrigation, drought-tolerant varieties and livelihood diversification before the crisis. The platform does not make the decision; it makes a more informed decision possible.
That also means d-iap should not become another impressive platform discussed in workshops but rarely used where agricultural decisions are made. District production and water offices could compare its outputs with crop calendars, local rainfall records and farmers’ reports. Extension workers could use simplified maps and examples in farmer groups. Researchers could test where the model agrees with lived experience and where local conditions require a different interpretation.
National planners could use the evidence to identify where limited irrigation, storage and adaptation funds would have the greatest value.
Sharon sees another question beneath the technology: who is able to access and use this evidence? A platform may be free and still remain inaccessible. It can sit behind unfamiliar terminology, expensive data bundles, language barriers and the assumption that climate information belongs to scientists and officials. When that happens, the people living closest to climate risk remain the farthest from the evidence used to allocate resources.
This is particularly important for young people and young women. They are frequently invited to climate events as beneficiaries, volunteers or voices of the future, but not always as people who can interpret evidence, question priorities and influence present-day budgets.
Participation that begins after a programme has been designed or after an adaptation budget has been approved is too late. Access to climate information is part of climate justice because information shapes whose risks are recognised, whose proposals are funded and whose knowledge is taken seriously.
Through Girls for Climate Action, our interest in d-iap therefore goes beyond publicising a website. We want young climate actors to gain the confidence to interrogate data, compare it with community knowledge and use it in practical advocacy. A young researcher might compare projected crop losses with farmers’ accounts of changing seasons. A community organiser might use the findings to argue for a water-harvesting allocation in a district budget. A green entrepreneur might identify demand for soil-moisture monitoring, efficient irrigation or locally repairable storage systems. A young woman farmer might use the information to question whether the crop promoted in her area remains a safe investment under changing rainfall patterns.
Making this possible requires more than telling young people to visit the platform. Government agencies, universities and civil-society organisations should create practical climate-data clinics where users can explore one local crop at a time. Technical findings should be translated into plain language and, where possible, local languages. Youth groups need modest support for internet access, field validation and community dialogues. Most importantly, the evidence they generate must have a route into district plans, extension priorities and budget hearings.
The rainy season is the right time to do this work. It is when communities can observe where water collects, where it runs off, which soils retain moisture and which water sources recover slowly. It is when households and local governments can repair storage, protect catchments, strengthen soil cover and plan for supplementary water before scarcity drives up the cost of every intervention. Preparedness is not a single drought-response document. It is a continuous practice of connecting evidence, local knowledge, budgets and responsibility.
We are not arguing that one digital platform will solve drought. No model can substitute for functional extension services, affordable technologies, public investment or accountable institutions. We are arguing that better decisions become possible when scientific evidence is available early, interpreted honestly and placed in the hands of people who can act on it. D-iap is one useful bridge between global climate science and the local questions that farmers, planners and advocates must answer.
Our two perspectives lead us to the same conclusion. Albert’s focus on crop-water science shows why rain alone is an unreliable measure of security. Sharon’s focus on participation shows why evidence alone is insufficient if communities, resource “gatekeepers,” and young people cannot use it to shape decisions. Drought resilience requires both: credible information and the power to act on it.
The sound of rain should not silence the drought conversation. It should make that conversation more practical: What are we storing? What are we learning? Which crops and communities remain exposed? Which investments must be made now, while there is still time?
The rain is falling. That is not a reason to stop talking about drought. It is our best opportunity to prepare for it.
The article was authored by Albert Ssebagala and Sharon Ocola, climate activists and Climate Corps Fellowship alumni. The opinions presented are their own and do not necessarily represent the views of any organization or institution they are affiliated with!
