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Andy Paterson • May 21st, 2026.
In 2025, more than a quarter of the US was under drought conditions. Those droughts were responsible for more than half of the $3.5 billion in agricultural losses. In the Southern Plains states, droughts in the 2025/26 season could reduce winter wheat yields by 25%, and have similar impacts on other crops and in other states.
Globally, the costs of droughts amount to $300+ billion each year, and 2026 could see even worse conditions in some regions, with a Super El Niño event anticipated later in the year.
However, 2026 is also an opportunity for procurement professionals to get a better understanding of the drought conditions their supply chain faces and invest in adaptation strategies that will mitigate losses and ensure supply continuity. This article will show how companies across the agricultural value chain can get long-range, accurate drought forecasts to make better procurement decisions.
Generic seasonal outlooks from climate science (NOAA, ECMWF, Copernicus) weren’t built for procurement decisions. They give you rainfall likelihood over a 7-14 day lead time. However, they don’t provide:
That means most forecasts are not decision-useful. Typically, the window to make an impactful decision has already passed by the time an accurate drought forecast arrives.
Procurement managers need forecasts with long lead times, more in-depth data around the duration and intensity of the drought, and how it impacts their specific crops to make better decisions.
If a drought occurs during crop dormancy or during an early vegetative stage, it will have little impact. However, even a 10% rainfall deficit relative to the norm during critical phases, such as flowering in corn and other grains, can be catastrophic.
Using the corn (maize) example, drought during the critical flowering stage can result in yield losses of up to 50%. A procurement leader who knows if a drought is likely to impact their corn crop during the flowering phase months in advance can work with their suppliers to:
Knowing a drought is coming is only useful if teams can translate that risk into operational and financial decisions.
That’s often the step that takes the most work, converting a projected rainfall deficit into a number that finance teams can actually sign off on adaptation investments.
This is where crop-stage-specific forecasting becomes critical. If irrigation depends on rainfall-fed reservoirs rather than non-renewable groundwater, water availability may decline just as crop water needs peak. That can increase irrigation costs, reduce yields, or force sourcing teams to secure supply elsewhere at higher prices.
These are the scenarios procurement teams need to model to determine the ROI of any adaptation:
For example, a citrus procurement team may need to commit irrigation budgets three to four months ahead of the August–November growing window. The confidence to make those decisions early and invest in irrigation comes from understanding expected rainfall deficits relative to crop water requirements at each stage of development and the water availability in that region.
That turns drought forecasting into a financial planning tool.
While procurement leaders can be agile in their purchasing when a drought kicks in in a certain area, allowing them to quickly switch suppliers, that typically means higher prices and a limited supply.
Across ClimateAi’s client list, we see that the best, most impactful decisions are made well ahead of time based on drought alerts. Some of those actions include:
The thread tying these decisions together is that longer lead times for drought events turn adaptations into a competitive advantage.
By the time drought shows up in commodity prices, your procurement decision was already made three months ago, locking in higher prices and supply risks.
The question for 2026 is whether your team is making sourcing decisions on the same forecasts everyone else is using, or on signals specific enough to act on.
To make better drought-resilient decisions in 2026, reach out for a demo.
A drought-resilient procurement strategy uses long-range climate and rainfall forecasting to anticipate supply risks before drought conditions impact yields, prices, or supplier reliability. Instead of reacting to shortages after they occur, procurement teams can proactively adjust sourcing, irrigation planning, and supplier engagement strategies months in advance.
Most weather forecasts focus on short-term rainfall probabilities and broad regional conditions. Procurement teams need crop-stage-specific forecasts that indicate when drought conditions are likely to affect critical growth phases, such as flowering or grain fill, and where yield losses are most severe.
Drought can reduce crop yields, increase irrigation costs, lower water availability, disrupt supplier reliability, and increase commodity prices. These impacts can ripple through food, beverage, and agricultural supply chains, especially when sourcing decisions are made months before shortages become visible in the market.
Crop-stage-specific drought forecasting combines climate forecasts with crop phenology data to determine whether water stress is likely to occur during the growth stages that matter most for yield and quality outcomes. This makes forecasts more operationally useful for procurement and sourcing teams.
Advanced climate intelligence platforms can identify drought risk patterns months ahead of critical growing periods. Longer lead times allow procurement teams to make sourcing and operational decisions before drought impacts become visible in commodity markets.

Andy Paterson is a content creator and strategist at ClimateAi. Before joining the team, he was a content leader at various climate and sustainability start-ups and enterprises.
Andy has held writing, content strategy, and editing roles at BCG, Persefoni, and Good.Lab. He has helped build one of the industry’s most popular newsletters and regularly publishes environmental science articles with Research Publishing.