Tootfinder

Google DeepMind's Weather Lab, launched in June, showed superior accuracy in forecasting Hurricane Erin's path up to 72 hours ahead, beating traditional models (Eric Berger/Ars Technica)
https://arstechnica.com/science/2025/0

Google’s AI model just nailed the forecast for the strongest Atlantic storm this year
If they improve further, AI weather models may very well become the gold standard.

Photometric Redshift Forecast for 7-Dimensional Sky Survey
Eunhee Ko, Myungshin Im
https://arxiv.org/abs/2509.22165 https://arxiv.org/pdf/2509.22165…

Photometric Redshift Forecast for 7-Dimensional Sky Survey
We investigate the expected accuracy of redshifts that can be obtained using low-resolution spectroscopic (medium-band) data from the 7-Dimensional Sky Survey (7DS). By leveraging 40 densely sampled filters with widths of full width at half maximum (FWHM) = 25 nm, we create 7DS mock catalogs and estimate the redshift accuracy for three 7DS main surveys: Wide-field Time-Domain Survey (WTS), Intensive Monitoring Survey (IMS), and Reference Image Survey (RIS). Using photometric redshifts calculate…

An Observations-focused Assessment of Global AI Weather Prediction Models During the South Asian Monsoon
Aman Gupta, Aditi Sheshadri, Dhruv Suri
https://arxiv.org/abs/2509.01879

An Observations-focused Assessment of Global AI Weather Prediction Models During the South Asian Monsoon
Seven state-of-the-art AI weather models (FourCastNet, FourCastNet-SFNO, Pangu-Weather, GraphCast, Aurora, AIFS, and GenCast) are evaluated against observational data during the South Asian Monsoon. The models are tested on temperature, winds, global kinetic energy spectrum, regional precipitation, cloud cover, cyclone trajectory prediction, and hyperlocal predictions around extreme weather events. The models forecast large-scale dynamics with reasonable accuracy, but fall short on key metrics …

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/6]:
- Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure
Lucas English, Mahdi Abolghasemi