W
weatherapi.com
article
https://www.weatherapi.com/
{'location': {'name': 'Global', 'region': 'Maguindanao', 'country': 'Filipinas', 'lat': 7.3958, 'lon': 124.3069, 'tz_id': 'Asia/Manila', 'localtime_epoch': 1776461184, 'localtime': '2026-04-18 05:26'}, 'current': {'last_updated_epoch': 1776460500, 'last_updated': '2026-04-18 05:15', 'temp_c': 23.7, 'temp_f': 74.6, 'is_day': 0, 'condition': {'text': 'Patchy rain nearby', 'icon': '//cdn.weatherapi.com/weather/64x64/night/176.png', 'code': 1063}, 'wind_mph': 2.2, 'wind_kph': 3.6, 'wind_degree': 28, 'wind_dir': 'NNE', 'pressure_mb': 1010.0, 'pressure_in': 29.83, 'precip_mm': 0.01, 'precip_in': 0.0, 'humidity': 86, 'cloud': 55, 'feelslike_c': 25.8, 'feelslike_f': 78.5, 'windchill_c': 23.7, 'windchill_f': 74.6, 'heatindex_c': 25.8, 'heatindex_f': 78.5, 'dewpoint_c': 21.2, 'dewpoint_f': 70.2, 'vis_km': 10.0, 'vis_miles': 6.0, 'uv': 0.0, 'gust_mph': 6.7, 'gust_kph': 10.8}}
F
finance.yahoo.com
research
https://finance.yahoo.com/news/space-based-weather-modification-research-1433…
The space-based weather modification market is experiencing robust growth, projected to expand from $1.58 billion in 2025 to $1.73 billion in
E
etcjournal.com
research
https://etcjournal.com/2026/02/10/the-ai-revolution-in-weather-forecasting-fi…
Five innovations—NOAA’s operational hybrid AI systems, ECMWF’s ensemble AI forecasts, Google DeepMind’s breakthrough hurricane prediction, Cambridge’s end-to-end Aardvark system, and NVIDIA’s open Earth-2 infrastructure—collectively represent a transformation in weather science as significant as the introduction of satellite imagery or numerical weather prediction itself. This measured approach acknowledges that while AI excels at pattern recognition and can process certain forecasting tasks with remarkable speed, physics-based models still provide valuable insights, particularly for understanding the causal mechanisms driving weather phenomena. Companies and organizations ranging from AI weather provider Brightband to Southwest Power Pool, S&P Global Energy, and insurance giant AXA are already deploying these tools for applications spanning real-time global forecasting, renewable energy grid management, climate risk assessment, and catastrophe modeling. AI models learn statistical relationships from historical data during an intensive training phase, but once trained, they can rapidly generate forecasts by applying learned patterns—similar to how an experienced forecaster can quickly intuit likely outcomes based on recognizing familiar weather patterns.
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facebook.com
research
https://www.facebook.com/roseparade/posts/announcing-rose-parade-weather-modi…
Weather modification, commonly known as cloud seeding, is the application of scientific technology that can enhance a cloud's ability to produce