Rainmaker, a cloud seeding company, has announced a partnership with Atmo, an AI-powered meteorology firm.

The collaboration aims to combine Atmo’s weather forecasting technology with Rainmaker’s cloud seeding efforts.

Under the agreement, Atmo will use its deep learning models to identify suitable clouds for seeding.

Rainmaker will supply data from its radar systems to assess precipitation results.

Furthermore, Atmo will offer Rainmaker’s drone-based cloud seeding services to its clients.

Cloud seeding aims to increase precipitation by altering cloud structures, but its results can vary based on region and weather conditions.

The West Texas Weather Modification Association, which has worked with Rainmaker, reported a 15% annual increase in rainfall—around two inches—due to such initiatives.

🔗 Source: TechCrunch

🧠 Food for thought

1️⃣ Cloud seeding has established efficacy boundaries despite decades of development

Cloud seeding has evolved considerably since its accidental discovery in 1946 by Vincent Schaefer at General Electric, who found that dry ice could induce snow crystal formation in supercooled clouds 1.

Despite 75+ years of development, scientific studies consistently show modest effectiveness, typically increasing precipitation by only 10-30% under ideal conditions, with the Wyoming experiment showing just a 3% increase with significant statistical uncertainty 2.

The West Texas Weather Modification Association’s own data indicates cloud seeding boosts regional precipitation by about 15% annually (around two inches) 3, demonstrating that while the technology works, its impact remains incremental rather than transformative.

This context helps explain why the Atmo-Rainmaker partnership focuses on identifying optimal clouds for seeding. The technology cannot create precipitation from nothing but rather enhances existing weather systems when precisely targeted.

Professor Rauber’s explanation that cloud seeding can’t significantly impact major storms (which process “trillions of gallons of water”) provides important perspective on the technology’s fundamental limitations that persist regardless of technological advancements.

2️⃣ Weather modification faces persistent challenges in public perception despite scientific consensus