:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Humphreys, R. J.
Format:	Preprint
Published:	2026
Subjects:	Atmospheric and Oceanic Physics
Online Access:	https://arxiv.org/abs/2602.01236
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Predicting Forecast Error for the HRRR Using LSTM Neural Networks: A Comparative Study Using New York and Oklahoma State Mesonets
by: Evans, David Aaron, et al.
Published: (2025)

A Radar-Based Hail Climatology of Australia
by: Brook, Jordan P., et al.
Published: (2023)

Prediction of Tropical Pacific Rain Rates with Over-parameterized Neural Networks
by: You, Hojun, et al.
Published: (2023)

Interpretable Neural Networks to Predict Momentum Fluxes of Orographic Gravity Waves
by: Haslauer, Elias, et al.
Published: (2026)

The Impact of Cumulus Clouds and CCNs Regeneration on Aerosol Vertical Distribution and Size
by: Arieli, Yael, et al.
Published: (2024)

A Comparative Study of Convolutional and Recurrent Neural Networks for Storm Surge Prediction in Tampa Bay
by: Ghahfarokhi, Mandana Farhang, et al.
Published: (2024)

Enhancing Deterministic Freezing Level Predictions in the Northern Sierra Nevada Through Deep Neural Networks
by: Gorooh, Vesta Afzali, et al.
Published: (2025)

Event-scale Internal Tide Variability via X-band Marine Radar
by: Simpson, Alexandra J., et al.
Published: (2024)

Deep Learning Based Monthly Temperature Prediction for Jilin Province: A Multi Model Comparative Study 2000 2026
by: Deng, Xingyue, et al.
Published: (2026)

Improving prediction of heavy rainfall in the Mediterranean with Neural Networks using both observation and Numerical Weather Prediction data
by: Pujol, Killian, et al.
Published: (2025)

Characterizing GPROF Regional Bias Using Radar-Derived Hydrometeor Information
by: Goldenstern, Eric, et al.
Published: (2024)

Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model
by: Loveday, Nicholas, et al.
Published: (2025)

Retrieval of Ocean Surface Currents and Vertical Shear from HF Radar Observations
by: Hasson, G., et al.
Published: (2026)

High-Frequency Radar observation of strong and contrasted currents: the Alderney race paradigm
by: Dumas, Dylan, et al.
Published: (2024)

Evaluation of the Real-time El Niño Forecasts by the Climate Network Approach between 2011 and Present
by: Bunde, A., et al.
Published: (2024)

Analytical insights into the transient climate response
by: Chtirkova, Boriana
Published: (2026)

Lagrangian Drifter Path Identification and Prediction: SINDy vs Neural ODE
by: Bayindir, Cihan, et al.
Published: (2024)

Bridging the Sensitivity Gap in Precipitation Estimates from Spaceborne Radars using Passive Microwave Observations
by: Pfreundschuh, Simon, et al.
Published: (2026)

A Neural Network-Based Submesoscale Vertical Heat Flux Parameterization and Its Implementation in Regional Ocean Modeling System (ROMS)
by: Zhou, Shuyi, et al.
Published: (2024)

Uncertainty Quantification of Wind Gust Predictions in the Northeast United States: An Evidential Neural Network and Explainable Artificial Intelligence Approach
by: Jahan, Israt, et al.
Published: (2025)

MAG-Net: Physics-Aware Multi-Modal Fusion of Geostationary Satellite and Radar for Severe Convective Precipitation Nowcasting
by: Chen, Dandan, et al.
Published: (2026)

High Frequency Radar Observing System Simulation Experiment in the Western Mediterranean Sea: a Lagrangian assessment approach
by: Lasheras, Jaime Hernandez, et al.
Published: (2024)

A Pareto-Based Sensitivity Analysis and Multiobjective Calibration Approach for Integrating Streamflow and Evaporation Data
by: Yeste, Patricio, et al.
Published: (2025)

Prediction and Predictability of the Wet-Season Rainfall over Southeast India
by: S, Harini, et al.
Published: (2026)

Predicting Tropical Cyclone Track Forecast Errors using a Probabilistic Neural Network
by: Fernandez, M. A., et al.
Published: (2025)

Physically Interpretable Emulation of a Moist Convecting Atmosphere with a Recurrent Neural Network
by: Song, Qiyu, et al.
Published: (2025)

Machine Learning-Based Prediction of Heat Index in Selected U.S. Cities
by: Han, Yushan, et al.
Published: (2026)

A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data
by: Veillette, Mark S., et al.
Published: (2024)

WP-MIP: An Artificial Intelligence, Hybrid and Physically Based Model Intercomparison Project for Weather Prediction
by: McTaggart-Cowan, Ron, et al.
Published: (2026)

Advancing Spatio-temporal Storm Surge Prediction with Hierarchical Deep Neural Networks
by: Naeini, Saeed Saviz, et al.
Published: (2024)

Prediction of storm surge on evolving landscapes under climate change
by: Johnson, David R, et al.
Published: (2023)

A Hybrid Analytical Framework for Asymmetric Pressure and Boundary Layer Wind Simulation in Nor'easters
by: Mirfakhar, Seyedeh Fatemeh, et al.
Published: (2025)

A Comparative Analysis of Clustering Algorithms for Characterizing Surface Ocean Variability in the Western Mediterranean
by: Rodriguez-Mendez, Victor, et al.
Published: (2026)

Automated Detection and Climatological Analysis of Ripple-Scale Gravity Wave Instabilities Using a Squeeze-and-Excitation Convolutional Neural Network
by: Hu, Jiahui, et al.
Published: (2026)

Zero-Shot Super-Resolution from Unstructured Data Using a Transformer-Based Neural Operator for Urban Micrometeorology
by: Yasuda, Yuki, et al.
Published: (2025)

An Earth-System-Oriented View of the S2S Predictability of North American Weather Regimes
by: Pérez-Carrasquilla, Jhayron S., et al.
Published: (2024)

Can Transfer Learning be Used to Identify Tropical State-Dependent Bias Relevant to Midlatitude Subseasonal Predictability?
by: Mayer, Kirsten J., et al.
Published: (2024)

On the predictability of springtime ozone depletion events using the ECCC Global Deterministic Prediction System
by: de Grandpre, J., et al.
Published: (2024)

A Deep Learning Approach to Radar-based QPE
by: Yo, Ting-Shuo, et al.
Published: (2024)

Predictability Limit of the 2021 Pacific Northwest Heatwave from Deep-Learning Sensitivity Analysis
by: Vonich, P. Trent, et al.
Published: (2024)