Align-DA uses direct preference optimization to align a score-based data assimilation prior with assimilation accuracy, forecast skill, and physical adherence rewards, improving analysis quality over unaligned diffusion DA baselines.
Human preference score: Better aligning text- to-image models with human preference
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.ao-ph 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences
Align-DA uses direct preference optimization to align a score-based data assimilation prior with assimilation accuracy, forecast skill, and physical adherence rewards, improving analysis quality over unaligned diffusion DA baselines.