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NASA says the utility feeds VIIRS snow-cover and vegetation products into machine-learning river forecasts that shape releases at Mayfield and Mossyrock. The 2026 water year tested both directions.
The Scientist · Science desk

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NASA says the utility feeds VIIRS snow-cover and vegetation products into machine-learning river forecasts that shape releases at Mayfield and Mossyrock. The 2026 water year tested both directions.
Tacoma Power spent the 2025-26 water year defending its largest hydroelectric project against two opposite failures, a record inflow surge and a record-poor runoff season, and in both cases one of its inputs was a machine-learning river forecast built partly on NASA satellite data, according to an account published by NASA [1][2]. The project stores water behind the Mayfield and Mossyrock dams on the Cowlitz River and generates enough electricity to serve more than 151,000 homes a year [3], which makes a reservoir release decision a load decision too.
The product is Upstream Tech's HydroForecast, which combines weather forecasts and river measurements with NASA-produced satellite data on snow cover and vegetation conditions to predict river flow hours to days ahead, and refreshes every two hours [4]. That cadence is twelve model runs a day [5]. NASA turns observations from the VIIRS instrument on the Suomi-NPP satellite into snow-cover and vegetation-greenness products that cover entire watersheds, including areas where ground monitors are sparse [6]. Upstream Tech archives years of those products alongside weather forecast data and measured river flow from hundreds of watersheds, so the models learn common patterns in how water moves through a landscape and apply them at new locations [7]. Laura Read of Upstream Tech says tests across multiple basins found that adding snow and vegetation observations increased forecast skill [8].
The year gave the system something to work with. Unusual warmth over the winter of 2025-26 pushed a larger share of western precipitation to fall as rain rather than snow, with below-normal precipitation deepening deficits in some areas [9]. January, February and March each set the lowest western snow cover for that month in NASA's MODIS satellite record since 2001 [10], a record roughly 25 years long [11]. In December 2025 an atmospheric river produced one of the largest one-day inflow surges ever recorded at the Tacoma Power project [12], and the rain-heavy pattern moved water downstream quickly instead of banking it as snowpack, which held at 20% to 50% of normal [13]. On April 8 Washington state placed every watershed, the Cowlitz included, under a drought emergency [14]. From April through June, peak daily inflow to the project was among the lowest on record, according to Saul Villarreal, Tacoma Power's senior hydro operations manager [15]. Roughly four months separated the flood problem from the drought problem [16].
The utility uses HydroForecast alongside stream gauges, snow stations and operator judgment [17]. Villarreal says the short-term forecast during the December storm helped the utility anticipate how much water would reach the project and prepare for dynamic river conditions while meeting operating requirements [18]. As spring approached, Tacoma Power used the seasonal model to track the rising risk of weak runoff and began holding its reservoirs higher than usual to preserve water for summer, which left less space [19] - the standard flood-margin trade that a dry forecast forces.
Two things are worth watching. The first is pipeline dependence: Read says the short-term models run every two hours, so the inputs have to arrive on schedule, and while stopgaps exist, any interruption to the operational pipeline is, in her words, a huge deal [20]. A utility that has moved storage and release timing onto a two-hourly satellite-fed model has taken on the availability risk of that model's data supply. The second is whether the higher-than-normal spring storage was enough to carry summer demand [19][15], and whether the same playbook gets written down for other basins, since NASA's Erin Urquhart frames the point of the program as making freely available agency data useful to companies serving water managers [21].
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During the December storm, the NASA-informed short-term forecast helped the utility anticipate how much water would reach the project and prepare for dynamic river conditions while meeting operating requirements and keeping public safety at the forefront, Villarreal said.
As effects of the 2026 snow drought in the western United States carry into summer, NASA Earth data is feeding machine-learning forecasts that inform decisions about water, power, and public safety in Washington state.
Tacoma Power, a Washington public utility, is using a U.S. technology company's river-flow forecasts during a year of water extremes on the Cowlitz River.
The utility's largest hydroelectric project uses water stored behind Mayfield and Mossyrock dams to generate enough electricity to serve more than 151,000 homes each year.
Upstream Tech's HydroForecast combines weather forecasts and river measurements with NASA-produced satellite data on snow cover and vegetation conditions to predict river flow from hours to days ahead, and is updated every two hours; the forecasts are used by reservoir managers, hydropower producers, water utilities, and government agencies.
NASA turns observations from the VIIRS instrument on the Suomi-NPP satellite into data products on snow cover and vegetation greenness across entire watersheds, including where ground monitors are sparse.
Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
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Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Specific and dated, but one first-party publisher
The hydrologic record is concrete and checkable in principle - record-low MODIS monthly Western snow cover since 2001, snowpack at 20-50% of normal, a December 2025 record one-day inflow surge, an April 8 statewide drought emergency, and among-lowest April-June peak inflows - and named officials at NASA, Upstream Tech, and Tacoma Power are quoted on the record. But the cluster has exactly one source, that source is the agency promoting its own data's utility, and the central performance claim (that snow and vegetation inputs raised forecast skill) arrives with no metric, baseline, or published evaluation.
Live at one named utility, echoed by federal users of the same data
This is production use, not a pilot: HydroForecast shaped storm preparation in December and the decision to carry reservoirs above normal into summer at a project serving more than 151,000 homes, and it is used alongside gauges and operator judgment rather than as a demo. Adoption breadth is only partly evidenced - the source names user categories generically and cites NOAA's Colorado Basin River Forecast Center, the Bureau of Reclamation, and USDA NRCS as users of NASA snow data rather than of HydroForecast itself, and no customer count or contract detail is given.
Modestly overstated: benefits asserted, performance unmeasured
The factual hydrology is not inflated, and the story arguably understates its own most interesting finding - a vendor conceding that a public utility's forecasting stack breaks if a federal satellite feed misses its two-hour delivery. What is overstated is causal credit: forecast skill gains are asserted without numbers, the December storm and near-average summer reservoir outcome are narrated as forecast successes with no counterfactual, and the outputs of a data-provider press release are presented as evidence of value delivered.
Provider and vendor both benefit from the story being told this way
Every voice in the cluster gains from the same conclusion. NASA is making a public case that its freely available Earth observations produce ground-level national value, stated outright in the Water Resources program manager's quote. Upstream Tech gets a federally published customer reference for a commercial product built on that free data. Tacoma Power gets a public account of prudent drought stewardship. No skeptical, regulatory, or competing-vendor voice is present.
Facts likely sound, performance claims unverified
Confidence is moderate: the dated hydrologic and operational facts come from named officials and a documented satellite record and are unlikely to be wrong in substance, and the dependency disclosure is a direct quote against the speaker's commercial interest, which raises its credibility. Confidence is held down by single-publisher sourcing, first-party incentives, and the absence of any quantitative evaluation of the forecasts that the story credits with the outcomes.
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1 article · August 20, 2026