1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2025
Operational machine learning for remote spectroscopic detection of CH point sources
Vít Růžička, Gonzalo Mateo-García, Itziar Irakulis-Loitxate +7
Mitigating anthropogenic methane sources is one of the most cost-effective levers to slow down global warming. While satellite-based imaging spectrometers, such as EMIT, PRISMA, an…
physics.ao-ph2024★ 1 cited
AI-driven weather forecasts enable anticipated attribution of extreme events to human-made climate change
Bernat Jiménez-Esteve, David Barriopedro, Juan Emmanuel Johnson +1
Anthropogenic climate change (ACC) is altering the frequency and intensity of extreme weather events. Attributing individual extreme events (EEs) to ACC is becoming crucial to asse…