Eviatar Escolar Bach
@eviatarbach.bsky.social
Lecturer (Asst. Prof.) in meteorology and math. & stats | Data assimilation, climate, ML, applied dynamical systems, predictability, inverse problems, climate politics
She/her 🏳️⚧️
https://eviatarbach.com
She/her 🏳️⚧️
https://eviatarbach.com
Reposted by Eviatar Escolar Bach
If I were deliberately trying to cause vulnerable refugees as much distress as possible, this is how I would do it. Constantly shifting the ground underneath them, never allowing them a moment of certainty and stability. This is barbarism.
November 19, 2025 at 9:06 AM
If I were deliberately trying to cause vulnerable refugees as much distress as possible, this is how I would do it. Constantly shifting the ground underneath them, never allowing them a moment of certainty and stability. This is barbarism.
In synthetic experiments with prescribed signal-to-noise ratios, we find that new scoring rule–based estimators agree with the classical ones on whether the signal-to-noise ratio is anomalous or not. In application to the North Atlantic Oscillation, the results are more equivocal. (3/3)
November 3, 2025 at 10:17 AM
In synthetic experiments with prescribed signal-to-noise ratios, we find that new scoring rule–based estimators agree with the classical ones on whether the signal-to-noise ratio is anomalous or not. In application to the North Atlantic Oscillation, the results are more equivocal. (3/3)
This information-theoretic framework provides a new interpretation of the signal-to-noise paradox in climate forecasting, and could lead to more robust statistical tests for it. Additionally, it allows for the definition of a signal-to-noise ratio for categorical forecasts. (2/3)
November 3, 2025 at 10:17 AM
This information-theoretic framework provides a new interpretation of the signal-to-noise paradox in climate forecasting, and could lead to more robust statistical tests for it. Additionally, it allows for the definition of a signal-to-noise ratio for categorical forecasts. (2/3)