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🏛️ The physics.ao-ph Crypt
physics.ao-ph: Where physics.ao-ph papers rest without their code.
140
Total Papers
106
No Code
3
Twilight
31
Has Code
22.1%
Survival Rate
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Machine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions
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Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics
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Recurrent U-net: Deep learning to predict daily summertime ozone in the United States
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Machine Learning Parameterization of the Multi-scale Kain-Fritsch (MSKF) Convection Scheme
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Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification
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Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques
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On the Predictive Skill of Artificial Intelligence-based Weather Models for Extreme Events using Uncertainty Quantification
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Monte-Carlo based non-line-of-sight underwater wireless optical communication channel modeling and system performance analysis under turbulence
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Global Estimation of Subsurface Eddy Kinetic Energy of Mesoscale Eddies Using a Multiple-input Residual Neural Network
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A Comparison of Machine Learning Algorithms for Predicting Sea Surface Temperature in the Great Barrier Reef Region
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Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation
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Oceananigans.jl: A Julia library that achieves breakthrough resolution, memory and energy efficiency in global ocean simulations
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Investigating Ground-level Ozone Formation: A Case Study in Taiwan
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Detecting anthropogenic cloud perturbations with deep learning
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Improved Forecasts of Global Extreme Marine Heatwaves Through a Physics-guided Data-driven Approach
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DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling
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Simulating the Air Quality Impact of Prescribed Fires Using Graph Neural Network-Based PM$_{2.5}$ Forecasts
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Precipitation Nowcasting With Spatial And Temporal Transfer Learning Using Swin-UNETR
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Skilful Precipitation Nowcasting Using NowcastNet
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An Interpretable Model of Climate Change Using Correlative Learning
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New Insights into Global Warming: End-to-End Visual Analysis and Prediction of Temperature Variations
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Towards Specialized Supercomputers for Climate Sciences: Computational Requirements of the Icosahedral Nonhydrostatic Weather and Climate Model
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