4 citations · 4 across the 2 of their papers we have counts for
2 papers
stat.ML2022
Robust detection and attribution of climate change under interventions
Enikő Székely, Sebastian Sippel, Nicolai Meinshausen +2
Fingerprints are key tools in climate change detection and attribution (D&A) that are used to determine whether changes in observations are different from internal climate variabil…
stat.AP2019★ 4 cited
A direct approach to detection and attribution of climate change
Eniko Székely, Sebastian Sippel, Reto Knutti +2
We present here a novel statistical learning approach for detection and attribution (D&A) of climate change. Traditional optimal D&A studies try to directly model the observations…