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cambridge.org > core > journals > environmental-data-science > article > generative-unsupervised-downscaling-of-climate-models-via-domain-alignment-application-to-wind-fields > 55A0F46DF3597AF1F8A5A89EE6C0DA18

Generative unsupervised downscaling of climate models via domain alignment: Application to wind fields | Environmental Data Science | Cambridge Core

13+ hour, 1+ min ago   (687+ words) We have implemented additional assurance measures to protect our systems. As a result, we have suspended some of our systems and services. We apologise for any temporary disruption some customers may experience. Published online by Cambridge University Press: 17 July 2026 The…...

mdpi.com
mdpi.com > 2076-16/18/3417 > 9088

Applied Sciences, Vol. 16, Pages 9088: Bounded Spatial Residual Adaptation for Multi-Station GNSS Displacement-Residual Forecasting

3+ hour, 1+ min ago   (596+ words) Multi-station global navigation satellite system (GNSS) displacement-residual forecasting may benefit from neighbouring stations, yet unrestricted spatial aggregation can obscure station-local temporal dynamics and the independent value of spatial information. Whether neighbouring stations provide additional predictive information after a strong station-local…...

BIOENGINEER.ORG
bioengineer.org > explainable-ai-and-terrain-data-sharpen-forecasts-of-devastating-apple-frosts

Explainable AI and Terrain Data Sharpen Forecasts of Devastating Apple

17+ hour, 26+ min ago   (95+ words) Every spring, apple growers across China hold their breath as blossoms open on trees that represent more than 40 percent of the world’s apple cultivation and production. When a late-spring frost sweeps through the orchards during flowering, the damage can be…...

RTL Today
today.rtl.lu > news > world > researchers-eye-ai-revolution-in-natural-disaster-forecasts-2092532687

Researchers eye AI revolution in natural disaster forecasts

2+ day, 6+ hour ago   (714+ words) A revolution in forecasting natural disasters is underway, say researchers in Switzerland who are training AI models on vast troves of NASA climate data to produce potentially-lifesaving data at lightning speed. They are feeding the NASA file stash into one…...

wplg
local10.com > weather > hurricane > 09/10/2026 > the-ai-hurricane-model-that-continues-to-blow-away-the-competition

The AI hurricane model that continues to blow away the competition

2+ day, 14+ hour ago   (712+ words) 2 men busted in alleged HOA kickback scheme, authorities say Flight instructor says cargo plane co-pilot was good student, ‘very safety-conscious’ Instructor recalls ‘safety-conscious’ first officer aboard Amazon cargo plane in fatal crash Deputies search for driver in fatal hit-and-run that…...

@PRNewswire
prnewswire.com > news-releases > tomorrowio-unveils-full-instrument-architecture-for-deepsky-its-next-generation-early-warning-weather-satellite-constellation-302874672.html

Tomorrow.io Unveils Full Instrument Architecture for DeepSky, Its Next-Generation Early Warning Weather Satellite Constellation

2+ day, 23+ hour ago   (518+ words) PR Newswire The five-instrument satellite suite will close the global atmospheric data gap, bringing advanced weather prediction and early warning capabilities to more than 5 billion people currently living without radar coverage. BOSTON, Sept. 10, 2026 /PRNewswire/ -- Tomorrow.io today unveiled the full…...

University at Albany
albany.edu > news-center > news > 2026-ualbany-researchers-partner-nasa-build-ai-tool-predicting-power-outages

UAlbany Researchers Partner with NASA to Build AI Tool for Predicting Power Outages

3+ day, 1+ hour ago   (601+ words) ALBANY, N.Y. (Sept. 10, 2026) — Driven by increasingly severe weather events, power outages are costing the U.S. economy between $50 billion and $150 billion annually in direct losses and lost productivity. New York ranks among the most affected states in the nation, with more than…...

the Guardian
theguardian.com > news > 09/10/2026 > weatherwatch-ai-model-beats-standard-methods-at-predicting-cyclones

Weatherwatch: AI model beats standard methods at predicting cyclones

3+ day, 4+ hour ago   (158+ words) Artificial intelligence system delivers a three-day forecast as accurate as previous two-day predictions Google’s WeatherNext AI model is better than existing systems at forecasting cyclones, according to a paper published in Nature. The AI-based technology gives an extra day of…...

mdpi.com
mdpi.com > 2076-16/18/3417 > 8964

Applied Sciences, Vol. 16, Pages 8964: A Hybrid Deep Learning Framework for Multi-Horizon Air Quality Forecasting Using Variational Mode Decomposition and Attention-Enhanced BiLSTM

3+ day, 22+ hour ago   (619+ words) Air pollution poses a major environmental and public health challenge in Metropolitan Lima, Peru, where complex topography, coastal meteorological conditions, and intense urbanization generate highly dynamic patterns of pollutant concentrations. Accurate multi-horizon forecasting is therefore essential for supporting environmental monitoring…...

EurekAlert!
eurekalert.org > multimedia > 1150475

How deep-learning modules match ecological time scales for smarter water forecasts.

4+ day, 20+ hour ago   (386+ words) This study compared nine time-series forecasting architectures across two reservoirs with contrasting trophic states (mesotrophic Königshütte with 3 predictors, and eutrophic Yazidang with 10 predictors) to predict chlorophyll a—a key proxy for algal blooms. The graphical summary reveals that forecast performance…...