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.
3D GCM simulations favor a thick (>=10 bar), CO2-rich (>1% mixing ratio) atmosphere for 55 Cancri e that matches JWST spectra while ruling out thin or CO/CO2-poor cases.
A kernel-based data-driven optimization method computes optimal perturbations to control the spectrum of transfer operators in high-dimensional dynamical systems.
Introduces power-law, logistic, and discrepancy-based tapers for correlation-based localization that suppress spurious correlations and often preserve more posterior ensemble variance than distance-based methods in synthetic reservoir assimilation tests.
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.
Experimental validation of a digital twin for a 4.6-km FSO link shows a 6-mode receiver reduces turbulence-induced outage probability to 2.02e-5.
Full conditional distribution modeling outperforms direct binary classification for rare threshold exceedances by learning bulk parameters from moderate events.
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.
A multi-task Patch-cGAN with lightning-derived spatial loss weighting improves post-processed forecasts of intense precipitation and lightning occurrence over the Korean Peninsula in summer 2025.
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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Enabling Real-Time Training of a Wildfire-to-Smoke Map with Multilinear Operators
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.
-
Direct Lagrangian tracking simulation of droplet growth in vertically-developing turbulent cloud
Turbulence accelerates droplet collisions in developing clouds, causing earlier onset of precipitation at the ground and larger first raindrops than in non-turbulent cases.
-
Turbulence-like 5/3 spectral scaling in contextual representations of language as a complex system
Contextual language embeddings exhibit a robust 5/3 power-law spectrum in token-sequence fluctuations, analogous to Kolmogorov turbulence.
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Reinterpreting the JWST Observations of 55 Cancri e with a Non-Grey General Circulation Model
3D GCM simulations favor a thick (>=10 bar), CO2-rich (>1% mixing ratio) atmosphere for 55 Cancri e that matches JWST spectra while ruling out thin or CO/CO2-poor cases.
-
Data-driven methods for computation of optimal linear response in high-dimensional dynamical systems
A kernel-based data-driven optimization method computes optimal perturbations to control the spectrum of transfer operators in high-dimensional dynamical systems.
-
Statistical Tapers for Correlation-Based Localization in Ensemble Data Assimilation
Introduces power-law, logistic, and discrepancy-based tapers for correlation-based localization that suppress spurious correlations and often preserve more posterior ensemble variance than distance-based methods in synthetic reservoir assimilation tests.
-
Atmosphere as a steam engine
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 Microwave Radiometer Observations Reveal A Warmer Polar Atmosphere on Jupiter
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: systematic evaluations of AI weather and climate models
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.
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Novel Chemical Pathways for the Formation of Nucleobase Precursors via Benzene {\pi}-Bond Addition to HCN
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.
-
Evidence against a general positive eddy feedback in atmospheric blocking
Large-ensemble experiments in a minimal QG model show that generic eddy straining does not maintain atmospheric blocks.
-
Mitigating Outages in a 4.6-km FSO Link via Mode-Diverse Reception: An Experimentally Validated Digital Twin Approach
Experimental validation of a digital twin for a 4.6-km FSO link shows a 6-mode receiver reduces turbulence-induced outage probability to 2.02e-5.
-
Forecasting threshold exceedance of atmospheric variables at a specific location
Full conditional distribution modeling outperforms direct binary classification for rare threshold exceedances by learning bulk parameters from moderate events.
-
Structural Gating and Effect-aligned Lag-resolved Temporal Causal Discovery Framework with Application to Heat-Pollution Extremes
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.
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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.
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Efficient Gradient-Enhanced Bayesian Optimizer with Comparisons to Conjugate-Gradient and Quasi-Newton Optimizers for Unconstrained Local Optimization
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.
-
Event-Aware Loss Design for Forecasting of Convective Precipitation and Lightning
A multi-task Patch-cGAN with lightning-derived spatial loss weighting improves post-processed forecasts of intense precipitation and lightning occurrence over the Korean Peninsula in summer 2025.
-
Operator Learning for Surrogate Modeling of Wave-Induced Forces from Sea Surface Waves
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-based Surface Temperature Forecasts with Ensemble Numerical Weather Prediction
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.
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Ground/space, passive/active remote sensing observations coupled with particle dispersion modelling to understand the inter-continental transport of wildfire smoke plumes
Multi-platform remote sensing and modeling document the arrival and altitude-dependent properties of intercontinental smoke from 2017 Pacific Northwest wildfires over Spain.
-
Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments
A critical review of methods for estimating onshore wind energy potentials at multiple levels, with an attempt to derive best practice recommendations.
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NCCR PlanetS: Observational and computational characterization of exoplanet atmospheres
The paper reviews physical processes, modeling techniques, retrieval methods, and observational strategies for characterizing exoplanet atmospheres, emphasizing Swiss research progress.
- Inertial-Range Energy Transfer Free from Isotropic Assumption in Turbulent Space Plasma