Boosting models forecast Tabriz PM2.5 with mixed short- and multi-day skill
A study using 2013–2023 data from three aggregated Tabriz monitoring stations found that boosting models performed best for short-term forecasts, ...
Tag: meteorology
Wuhan ozone variability modeled with interpretable machine learning, 2019–2025
An interpretable machine-learning study of hourly ozone at one Wuhan monitoring site from 2019–2025 found strong short-term persistence and a ...
Diamond Dust Sky Eye Wins Grand Prize in 2026 AMS Photo Contest
Jaroslav Fous's Diamond Dust Sky Eye took the Grand Prize in the 2026 AMS Photo Contest, which drew 1,075 photographers ...
Small AI on the Edge, Big AI in the Cloud: New Framework Sharpens Wind Speed Forecasts
A new cloud-edge AI framework called SMWPF combines a lightweight edge predictor with a Qwen-based cloud model to cut wind ...
From Satellites to Smart Algorithms: How Four Decades of Flood Science Are Being Rewritten
A systematic review of 190 studies finds that integrated geospatial, meteorological, hydrological and AI-based approaches are transforming flood risk assessment, ...
AI Picks the Weather Clues That Matter Most for Solar Power Forecasts
A hybrid feature selection framework combining correlation analysis, PCA, neural sensitivity testing, and SHAP/LIME explainability reveals that average battery voltage ...
Riyadh’s Spring Air Pollution Mapped Across Seven Years of Dust and Heat
A seven-year study of springtime PM2.5 in Riyadh reveals severe pollution peaks, persistent hotspots in the city's south and center, ...
Weather, Not Just Emissions, Decides How India’s Air Pollution Rises and Falls
An eight-year analysis of in situ measurements across India shows particulate pollution declining over much of the Indo-Gangetic Plain while ...
Bayesian Spatial Model Sharpens Extreme Wind Gust Forecasts Across Germany
Researchers at the University of Bonn have developed a spatial Bayesian hierarchical extreme value model that calibrates wind gusts from ...
Hybrid AI Reaches 98% Accuracy Forecasting Air Quality in Data-Poor Istanbul District
Researchers built a two-stage hybrid machine learning framework combining K-Means clustering and XGBoost that predicts Istanbul's Air Quality Index with ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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