Rain Enhancement Technologies Reports More Than 20% Warm-Season Precipitation Enhancement at La Sal Mountains Deployment

Two statistical models estimated a positive seasonal effect, while flood-warning suspensions left August and September outside the analysis.

Rhea-AI Summary

Rain Enhancement Technologies (RAIN) reported preliminary estimates of more than 20% warm-season precipitation enhancement at its La Sal Mountains deployment.

The company’s analysis covers April through July 2026 at the La Sal Upper monitoring station, which recorded 9.90 inches of precipitation. Two statistical models attributed more than 2 inches to WETA, its Weather Enhancement Technology Array, with estimated probabilities of a positive effect of 97% and 82%. The models compared observed precipitation with estimates of rainfall without WETA, using control stations outside its area of influence.

Operations were suspended during regional flood warnings in August and September 2026; both months were excluded because the array operated only part-time. Monitoring continues, with additional seasonal results planned.

3 points · 0 major

MixediHow this balance works

How this balance works

Rhea-AI gives every point it takes from this document a weight. Minor counts 1, Moderate 3 and Major 9, so one Major point outweighs several Minor ones. The bar adds up the weights on each side, and when neither side holds more than 65% of the total the balance reads Mixed.

It reads the document as published, with the same rules for every company, and it does not look at what the market expected or at how the stock traded, so a point can be objectively good on a day the stock falls.

Rhea-AI Sentiment measures something else, the tone of the wording.

How the balance worksHow Sentiment works

0 major · 2 points

Hollow bars mark forward-looking points. How the balance works

Positive

• Moderate pointPreliminary April–July 2026 analysis estimated more than 20% precipitation enhancement at La Sal Upper.
• Moderate pointEarlier winter 2025–26 analysis estimated more than 20% enhancement in snow water equivalent at the same site.
• Minor point. Forward-looking: it has not happened yet and may not happen.La Sal monitoring continues, with additional results planned as further seasonal data become available.

Negative

• Moderate pointRegional flood warnings prompted operating suspensions in August and September 2026; both months were excluded from analysis.
• Minor pointWarm-season findings remain preliminary; monthly estimates carry more uncertainty than the seasonal total.

News Explained

RET says its earlier winter 2025–26 analysis estimated more than 20% enhancement in snow water equivalent at La Sal; alongside the warm-season estimate, the company presents the two periods as indicating effects beyond snow season.

Key Figures

Warm-season precipitation enhancement: More than 20% Recorded precipitation: 9.90 inches Precipitation attributed to enhancement: More than 2 inches +3 more

Warm-season precipitation enhancement

More than 20%

April through July 2026; compared with the modeled no-WETA estimate

Recorded precipitation

9.90 inches

La Sal Upper station, April through July 2026

Precipitation attributed to enhancement

More than 2 inches

April through July 2026; both models

Positive-effect probability

97%

Ridge regression model; April through July 2026

Positive-effect probability

82%

Bayesian Structural Time Series model; April through July 2026

Winter snow-water-equivalent enhancement

More than 20%

Winter 2025–26 at the same La Sal site

Historical Context

1 past event · Latest: Aug 12

1 event

1. Aug 12

   winter pilot results

   24h Move

   -3.6%

   Reported over 20% winter snow-water-equivalent enhancement at the same La Sal site.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

ridge regression, bayesian structural time series, counterfactual approach

3 terms

ridge regression technical

"RET evaluated the data using two separate statistical methods, ridge regression"

A statistical method that estimates the relationship between a target (like returns) and many predictor variables by adding a penalty that shrinks coefficient sizes toward zero. Like adding a gentle leash to prevent any single predictor from dominating, it reduces overfitting and instability when predictors are highly correlated or numerous, producing more reliable forecasts and risk models used in investment analysis.

bayesian structural time series technical

"Bayesian Structural Time Series (BSTS)"

A Bayesian structural time series is a statistical method that models how a financial quantity (like sales, stock returns or website traffic) evolves over time by combining trend, seasonal patterns and random shocks, while explicitly quantifying uncertainty. For investors it’s useful for forecasting future values and estimating the likely impact of an event (such as a policy change or marketing campaign) by comparing observed outcomes to a modelled “what if” scenario — like a detailed weather forecast that also shows how confident the prediction is.

counterfactual approach technical

"RET's science team used a counterfactual approach"

A method for estimating what would have happened if a particular event, action, or condition had not occurred by constructing a hypothetical alternative outcome and comparing it to the actual observed outcome. It works by building that counterfactual using techniques such as statistical models, matched control groups, difference‑in‑differences, or synthetic controls; the estimate depends on assumptions that the model or chosen controls accurately represent the unobserved scenario, so conclusions are only as reliable as those assumptions and the quality of the comparisons.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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NAPLES, FL / ACCESS Newswire / October 22, 2026 / Rain Enhancement Technologies Holdco, Inc. (NASDAQ:RAIN) ("RET" or the "Company"), a leading provider of ionization precipitation enhancement technology, today announced preliminary warm-season results from its deployment of the WETA (Weather Enhancement Technology Array) in Utah's La Sal Mountains. The Company's analysis of April through July 2026 precipitation at the La Sal Upper monitoring station estimates more than 20% enhancement compared with what the site would have been expected to receive without the WETA. Both statistical models used in the evaluation place the probability that the WETA had a positive effect above 80%.

The results follow RET's previously reported winter 2025-26 findings, in which the Company's analysis estimated more than 20% enhancement in snow water equivalent at the same site during a historically dry winter. Together, the two periods indicate that the WETA's effect extends beyond snow season into the spring and summer months, when water demand from agriculture, communities and ecosystems typically peaks.

"Our winter results showed what the WETA can do for snowpack. These warm-season findings matter because they show the same installation continuing to deliver during the months when farmers, ranchers and water managers feel water stress most directly," said Randy Seidl, CEO of Rain Enhancement Technologies. "We are reporting these as preliminary results, and we are deliberately conservative in how we present them. We would rather let the data build the case season by season than overstate what a single season can tell us."

The WETA array is installed on Flat Iron Mesa, several miles inside San Juan County, Utah, near the La Sal Mountains, and its area of influence extends across portions of both San Juan and Grand counties. During precipitation events, prevailing southwest winds carry the array's ions northeast toward the range. To isolate the WETA's effect from natural weather variability, RET's science team used a counterfactual approach: the team trained statistical models on the historical relationship between precipitation in the La Sal Mountains and two control stations in the Abajo Mountains, approximately 40 miles to the south. The Abajo sites experience the same storm systems as La Sal but lie outside the area influenced by the WETA. The models then used observed Abajo data from the operating period to estimate what La Sal would have received without the WETA and compared that estimate with what was actually measured. All four stations are part of the U.S. Department of Agriculture's Natural Resources Conservation Service SNOTEL (Snow Telemetry) network.

"The question we set out to answer is simple: how much precipitation would La Sal have received without the WETA?" said Dr. Jeffrey Chagnon, Senior Meteorologist at Rain Enhancement Technologies. "By building that estimate from control sites that see the same storms, and testing it with two very different statistical approaches, we can separate the array's effect from the natural ups and downs of the weather. Both models point in the same direction for the April through July period, which gives us confidence in the seasonal result."

RET evaluated the data using two separate statistical methods, ridge regression and Bayesian Structural Time Series (BSTS). From April through July 2026, the La Sal Upper station recorded 9.90 inches of precipitation. Both models attribute more than 2 inches of that total to enhancement. The estimated probability that the effect was positive was 97% under the ridge regression model and 82% under the BSTS model. Both models estimated a positive effect in each month, although, as expected, month-by-month estimates carry more uncertainty than the seasonal total.

Consistent with the Company's operating protocols, RET suspended WETA operations during National Weather Service flood warnings in the region in August and September 2026. Because the array operated for only part of those months, RET has excluded them from this analysis.

Unlike conventional cloud seeding, which generally depends on sub-freezing conditions and aircraft or chemical dispersal, the WETA is a ground-based, solar-powered, chemical-free system that operates autonomously year-round. RET continues to monitor the La Sal deployment and will report additional results as further seasons of data become available.

About Rain Enhancement Technologies, Inc.

Rain Enhancement Technologies was founded to provide the world with reliable access to water, one of life's most important resources. To achieve this mission, RET develops, manufactures, and commercializes ionization precipitation generation technology that enhances rainfall and snowpack to address water scarcity challenges. The Company is also developing applications for fog mitigation to expand its weather modification capabilities. RET's chemical-free, solar-powered technology seeks to transform water resource management for businesses, society, and the planet. To learn more, go to www.rainenhancement.com.

Forward-Looking Statements

The disclosure herein includes certain statements that are not historical facts but are forward-looking statements for purposes of the safe harbor provisions under the United States Private Securities Litigation Reform Act of 1995. Forward-looking statements generally are accompanied by words such as "believe," "may," "will," "estimate," "continue," "anticipate," "intend," "expect," "should," "would," "plan," "project," "forecast," "predict," "potential," "seem," "seek," "future," "outlook," and similar expressions that predict or indicate future events or trends or that are not statements of historical matters, but the absence of these words does not mean that a statement is not forward-looking. These forward-looking statements include, but are not limited to, (1) statements regarding the significance of the statistical analysis of the performance of the WETA; (2) statements regarding impact of the WETA system on year-round precipitation; (3) references with respect to the anticipated benefits of the Company's WETA platform and technology; (4) the reliability of the statistical analysis of enhanced snowpack; and (5) current and future potential commercial and customer relationships. These statements are based on various assumptions, whether or not identified in this press release, and on the current expectations of RET's management and are not predictions of actual performance. These forward-looking statements are provided for illustrative purposes only and are not intended to serve as, and must not be relied on by any investor as, a guarantee, an assurance, a prediction or a definitive statement of fact or probability. Actual events and circumstances are difficult or impossible to predict and will differ from assumptions. Many actual events and circumstances are beyond the control of RET. These forward-looking statements are subject to a number of risks and uncertainties, as set forth in the section entitled "Risk Factors" in the Company's annual report on Form 10-K for the year ended December 31, 2025, filed with the SEC on April 15, 2026, as amended from time to time. If any of these risks materialize or our assumptions prove incorrect, actual results could differ materially from the results implied by these forward-looking statements. The risks and uncertainties above are not exhaustive, and there may be additional risks that Rain Enhancement Technologies, Inc. ("RETI") and RET do not presently know or that RETI and RET currently believe are immaterial that could also cause actual results to differ from those contained in the forward-looking statements. In addition, forward-looking statements reflect RETI and RET's expectations, plans or forecasts of future events and views as of the date of this press release. RETI and RET anticipate that subsequent events and developments will cause RETI and RET's assessments to change. However, while RETI and RET Holdco may elect to update these forward-looking statements at some point in the future, RETI and RET specifically disclaim any obligation to do so. These forward-looking statements should not be relied upon as representing RETI and RET's assessments as of any date subsequent to the date of this press release. Accordingly, undue reliance should not be placed upon the forward-looking statements.

Media Contact

Neal Stein
Technology PR Solutions
321-473-7407
nealjstein@techprsolutions.com

Linda Maynard
Rain Enhancement Technologies
(617) 869-4832
linda@rainenhancement.com

SOURCE: Rain Enhancement Technologies

View the original press release on ACCESS Newswire

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did Rain Enhancement Technologies report from its La Sal warm-season analysis?

The preliminary analysis estimated more than 20% precipitation enhancement at La Sal Upper from April through July 2026. The station recorded 9.90 inches of precipitation, and both statistical models attributed more than 2 inches to WETA.

How did Rain Enhancement Technologies estimate precipitation without WETA?

RET used historical precipitation relationships with two control stations in the Abajo Mountains, approximately 40 miles south, to estimate precipitation without WETA. Those stations experience the same storm systems but lie outside the array’s area of influence. The analysis used ridge regression and Bayesian Structural Time Series, two statistical modeling methods.