A multilinear operator learned on PCA coefficients maps time-since-ignition inputs to smoke outputs, matching Monte Carlo accuracy with half the model calls and outperforming prior classifiers on holdout data.
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Turbulence accelerates droplet collisions in developing clouds, causing earlier onset of precipitation at the ground and larger first raindrops than in non-turbulent cases.
Contextual language embeddings exhibit a robust 5/3 power-law spectrum in token-sequence fluctuations, analogous to Kolmogorov turbulence.
Atmosphere functions as steam engine with global power 4.4±0.9 W/m² from water cycle, matching total atmospheric power 4.3±0.6 W/m² and explaining condensation-driven dynamics via precipitation.
Juno MWR observations from PJ51-PJ61 show Jupiter's north pole 6-7 K warmer than the equator at 1 bar with ammonia at 3x solar and water at 2.1x solar, similar to lower latitudes.
AIMIP Phase 1 sets up a common experiment and five evaluation criteria for AI atmosphere models forced by historical sea surface temperatures, finding they match conventional models on most metrics but underestimate some warming trends and diverge on out-of-sample tests.
Benzene reacts with HCN via 1,4-cycloaddition and C2H2 loss to yield pyrimidine, which then forms purine with NH3 and HCN, as shown by quantum calculations and modeled for cold dry Mars conditions.
Large-ensemble experiments in a minimal QG model show that generic eddy straining does not maintain atmospheric blocks.
SGED-TCD is a lag-resolved causal discovery framework that uses structural gating and perturbation-effect alignment to infer interpretable weighted causal networks from complex time series, shown on heat-pollution extremes in China.
AI/ML weather tools face integration challenges from mismatched 'regimes of scale' in how data and models are organized compared to traditional meteorology practices.
Users' memory of privacy settings drifts over time from exact recall to gist-based impressions that bias toward sharing with larger audiences than originally intended.
A gradient-enhanced local Bayesian optimization framework that converges optimality as deeply as standard optimizers but with significantly fewer function evaluations on 2-40 dimensional unimodal problems, outperforming them under noisy gradients.
DeepONet surrogate model accurately predicts wave-induced radiation stress and wave heights in steady-state simulations as a replacement for the SWAN numerical model.
CNN post-processing applied member-wise to a 51-member 40-km NWP ensemble creates a 5-km high-resolution ensemble forecast system with improved deterministic accuracy and probabilistic reliability for surface temperatures.
Multi-platform remote sensing and modeling document the arrival and altitude-dependent properties of intercontinental smoke from 2017 Pacific Northwest wildfires over Spain.
A critical review of methods for estimating onshore wind energy potentials at multiple levels, with an attempt to derive best practice recommendations.
The paper reviews physical processes, modeling techniques, retrieval methods, and observational strategies for characterizing exoplanet atmospheres, emphasizing Swiss research progress.
citing papers explorer
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Regimes of Scale in AI Meteorology
AI/ML weather tools face integration challenges from mismatched 'regimes of scale' in how data and models are organized compared to traditional meteorology practices.
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Temporal Drift in Privacy Recall: Users Misremember From Verbatim Loss to Gist-Based Overexposure
Users' memory of privacy settings drifts over time from exact recall to gist-based impressions that bias toward sharing with larger audiences than originally intended.