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Every paper Pith has read. Search by title, abstract, or pith.
282 papers in physics.ao-ph · page 1
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Atmosphere steam cycle generates 4.4 W/m2 matching total power
Atmosphere as a steam engine
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AI weather models move like particles down a learned free-energy slope
The physics of AI weather models
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SAI nearly halves CONUS extreme precipitation increase
Precipitation diffusion downscaling and application to out-of-distribution simulations with and without stratospheric aerosol injection
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Quantum circuits in UNet boost wind downscaling metrics
Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling
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Akatsuki data give first Venus gravity wave momentum fluxes of 10-30 m²/s²
Variation of Venusian Gravity Wave Absolute Momentum Fluxes and Drag as Retrieved from the Akatsuki Mission
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Perturbations regulate decorrelation rates in Lorenz '96 ensembles
Decomposing Ensemble Spread in Lorenz '96 With Learned Stochastic Parameterizations
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Moisture gradient cuts African easterly jet by 30 percent
Water vapor buoyancy and the African easterly jet
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Testbed on AI weather model maps typhoon sensitivity to perturbations
A Simulation Methodology Testbed for Typhoon Sensitivity Analysis: Framework Development and Perturbation-Response Experiments with the Pangu Weather Model
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Microwaves raise hydrogen from olivine 12 times over hot-plate heating
Microwave-Stimulated Serpentinization of Olivine for Geological Hydrogen Production
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Meridional motion drives noctilucent cloud particle size changes
Three-Dimensional Velocity Analysis and Particle Size Dynamics from Multi-Site RGB-Photometry of Noctilucent Clouds
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Tiered model sustains weather data after open access change
From Licensing to Open Access: Designing a Sustainable Transition in Operational Weather Data
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AMD model enables accurate cloud LES across resolutions without tuning
Effect of grid anisotropy, resolution, and subgrid-scale models in pseudo-spectral Large Eddy Simulations of low-level clouds
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Angular momentum density unifies lift and added mass
Beyond Vorticity: An Angular Momentum Perspective on Fluid Flow
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Typology sorts ways to blend ML into physics weather models
Blending machine learning and physics-based approaches for weather and climate: a typology
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10,000-year cyclone catalog reproduces observed track densities
A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS)
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Sakurai formula matches reentry infrasound to 9 percent
Benchmarking Cylindrical Blast Wave Theory Against the OSIRIS-REx Sample Return Capsule Reentry
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Diffusion emulators make optimal particle filters training-free
Training-Free Bayesian Filtering with Generative Emulators
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MEEM matches BEM wave force accuracy with 100x smaller matrices
Matrix structure and convergence behavior of the matched eigenfunction method for computing heave wave forces on generalized concentric bodies
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ITCZ belts break zonal symmetry with weak inflow and large MSE contrast
Spontaneous Zonal Symmetry Breaking of Tropical Rain Belt
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Scalar satellite data yields 1.5 km TC vector winds globally
Global kilometre-scale tropical cyclone inner-core vector winds from sparse scalar CYGNSS observations
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Zero-shot model downscales precipitation to daily 10 km fields globally
Longwang: Zero-Shot Global Spatiotemporal Precipitation Downscaling with a Latent Generative Prior
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Nonlinear SAEs uncover 72% more climate features in weather AI
Beyond Linear Superposition: Discovering Climate Features in AI Weather Models with KAN-SAE
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Koopman mode matches escape times in noisy bistable system
Data-driven analysis of metastability in a stochastic bistable system
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AI agent evolves forecasts cutting Sierra runoff error 29%
Probabilistic Seasonal Streamflow Forecasting Across California's Sierra Nevada Watersheds with Agentic AI
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Lead-time bias fix unlocks 4 km precipitation forecasts from global AI
SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland
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One GPU runs DG ocean model at speed of 1500 CPU cores
An efficient multi-GPU implementation for the Discontinuous Galerkin ocean model SLIM
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Simulated annealing selects better climate year subsets for energy models
Bridging the climate to energy data gap: simulated annealing for representative climate year selection
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Coarse-graining yields scale-specific available potential energy equations
Coarse-grained local available potential energy
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Both basins can sink when hydrological cycle is weak
Multi-stability of Atlantic and Pacific overturning: The role of Freshwater Forcing Asymmetries and the Hydrological Cycle
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Probabilistic GNN achieves lowest errors in global ocean forecasting
Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting
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Engineered particles make SAI cooling measurable without operator input
From Particles to Policy: Technical Building Blocks for Multi-State SAI Coordination
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Engineered particles make SAI cooling and sources independently verifiable
From Particles to Policy: Technical Building Blocks for Multi-State SAI Coordination
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Generative prior plus sensor branches improves satellite rain estimates
A plug-and-play generative framework for multi-satellite precipitation estimation
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Guided sampling reduces extreme precipitation forecasts plausibly
Guided Diffusion Sampling for Precipitation Forecast Interventions
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Surface deformations grow linearly with subsurface turbulence intensity
Free-surface deformations induced by three-dimensional turbulence
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Vortex predictability splits: persistence short-term
State-resolved multimodal contributions to stratospheric polar vortex predictability
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Doubling CO2 lowers seawater pH by only 0.25 units
Acidification of Water by CO2
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Water vapor nucleates into droplets at saturation ratio near 5
Tracking water vapor homogeneous nucleation and droplet growth with spectroscopy and holography in a free expansion cloud chamber
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ACC eddy saturation switches mechanism at wind-friction threshold
Drag-Controlled Regime Transitions in the Eddy Saturation Mechanism of the Antarctic Circumpolar Current
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ML generator cuts cloud radiative bias by factor of three
Assessment of cloud and associated radiation fields from a GAN stochastic cloud subcolumn generator
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ML cloud subcolumn generator reduces radiation bias by factor of three
Assessment of cloud and associated radiation fields from a GAN stochastic cloud subcolumn generator
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MLP scales small-ensemble covariances to cut EnKF error
Enabling High-Accuracy Data Assimilation with Limited Ensembles via Machine Learning-Based Covariance Correction
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Machine learning corrects covariances to improve small-ensemble data assimilation
Enabling High-Accuracy Data Assimilation with Limited Ensembles via Machine Learning-Based Covariance Correction
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Generative model preserves climate variable links at 50x resolution
Generative climate downscaling enables high-resolution compound risk assessment by preserving multivariate dependencies
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Lightning and quantum avalanches share the same scaling laws
A Unified Critical Scaling Theory for Macroscopic Lightning and Quantum Avalanches: From Three-Dimensional Directed Percolation to Testable Predictions
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Visibility nowcasts drop on new data due to distribution shifts
Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift
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Brazil weather data harmonized into 25-year hourly archive
METBRA25Y: Brazil Surface Meteorology Archive with Harmonized Variables and Quality Control
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Solar radiation ranks first in ERA5 turbulence predictions
Learning from Translation: Seasonal Errors and Feature Importance of the ERA5 Turbulence Predictions
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CNN improves IR precipitation estimates for satellite merges
GPROF-IR: An Improved Single-Channel Infrared Precipitation Retrieval for Merged Satellite Precipitation Products
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AI models match conventional climate models on historical data
AIMIP Phase 1: systematic evaluations of AI weather and climate models