Imagen de Portada

Understanding Left-Moving Supercells: Environmental Factors and Forecasting Challenges

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zeeb, Aaron W., Allen, John T., Broeke, Matthew Van Den
Formato:	Preprint
Publicado:	2026
Materias:	Atmospheric and Oceanic Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Supercell environments using GridRad-Severe and the HRRR: Addressing discrepancies between prior tornado datasets
por: Coffer, Brice, et al.
Publicado: (2025)

A Case Study of the Tornadic Supercell in the Province of Pampanga, Philippines (27 May 2024)
por: Capuli, Generich H., et al.
Publicado: (2025)

The Effect of Tornadic Supercell Thunderstorms on the Atmospheric Muon Flux
por: Luszczak, William, et al.
Publicado: (2024)

Evaluating the Prediction of Wind Power Ramping Events in the Belgian Offshore Zone
por: Meng, Ruoke, et al.
Publicado: (2025)

Skill of Long-Range Forecasts of Ocean Wave Spectra from the Navy ESPC Version 2 System
por: Rogers, W. E., et al.
Publicado: (2025)

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

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts
por: Van Poecke, Aaron, et al.
Publicado: (2024)

Possible, Yes; Ignorant, Perhaps: A Scorecard for Possibilistic Forecasts
por: Lawson, John R.
Publicado: (2026)

Impact of Forecast Stability on Navigational Contrail Avoidance
por: Dean, Thomas R, et al.
Publicado: (2025)

Forecast error diagnostics in neural weather models
por: Perkan, Uros, et al.
Publicado: (2025)

Investigating How Neighbourhood Scores Reflect Forecast Error
por: Antonio, Bobby
Publicado: (2026)

Forecast error growth: A dynamic-stochastic model
por: Bach, Eviatar, et al.
Publicado: (2024)

How Convective Mass Flux Responds to Environmental Humidity
por: Seidel, Seth D., et al.
Publicado: (2025)

Diffusion-based Probabilistic Air Quality Forecasting with Mechanistic Insight
por: Ding, Ao, et al.
Publicado: (2026)

Deep-Learned Observation Operators for Artificial Intelligence Weather Forecasting Models
por: Lieberman, Kelsey, et al.
Publicado: (2026)

Meteorologically-Informed Adaptive Conformal Prediction for Tropical Cyclone Intensity Forecasting
por: Chen, Xuepeng, et al.
Publicado: (2025)

How does an AI Weather Model Learn to Forecast Extreme Weather?
por: Baiman, Rebecca, et al.
Publicado: (2025)

The Jive Verification System and its Transformative Impact on Weather Forecasting Operations
por: Loveday, Nicholas, et al.
Publicado: (2024)

Extending SST Anomaly Forecasts Through Simultaneous Decomposition of Seasonal and PDO Modes
por: Kallummal, Rameshan
Publicado: (2026)

Evaluating the Predictability of Selected Weather Extremes with Aurora, an AI Weather Forecast Model
por: Huang, Qin, et al.
Publicado: (2026)

ML-Physical Fusion Models Are Accelerating the Paradigm Shift in Operational Typhoon Forecasting
por: Niu, Zeyi
Publicado: (2025)

Probabilistic Seasonal Streamflow Forecasting Across California's Sierra Nevada Watersheds with Agentic AI
por: Lopez-Gomez, Ignacio, et al.
Publicado: (2026)

Toward Trustworthy Short-Range Forecasts with AFNO: From Skill Metrics to Conservation Checks
por: Sunil, Akshay, et al.
Publicado: (2026)

Comparing Ocean Forecasts Driven with Machine Learning-based and Physics-based Atmospheric Forcings
por: Zhou, Xiaobing, et al.
Publicado: (2026)

A Tolerance-Based Framework for Spatio-Temporal Forecast Validation Using the gamma-Index
por: Voyant, Cyril
Publicado: (2026)

XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting
por: Wang, Xiang, et al.
Publicado: (2024)

BiXiao: An AI-Based Atmospheric Environment Forecasting Model Using Discontinuous Grids
por: Ji, Shengxuan, et al.
Publicado: (2025)

Projections of standardised energy indices in future climate scenarios
por: Dolores-Tesillos, Edgar, et al.
Publicado: (2024)

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

TSformer: A Non-autoregressive Spatial-temporal Transformers for 30-day Ocean Eddy-Resolving Forecasting
por: Wang, Guosong, et al.
Publicado: (2024)

Challenges in assessing Fire Weather changes in a warming climate
por: Matteo, Aurora, et al.
Publicado: (2025)

Spatial Controls of Lower Tropospheric Stability
por: Van Loon, Senne, et al.
Publicado: (2025)

Air Quality and Greenhouse Gas Emissions Assessment of Data Centers in Texas: Quantifying Impacts and Environmental Tradeoffs
por: Eslami, Ebrahim
Publicado: (2025)

On Using Medium-Range Ensemble Forecasts for Storm Transposition of Synoptic-Scale Systems in Probable Maximum Precipitation Estimation
por: Mure-Ravaud, Mathieu
Publicado: (2026)

Terrain-aware Deep Learning for Wind Energy Applications: From Kilometer-scale Forecasts to Fine Wind Fields
por: Lin, Chensen, et al.
Publicado: (2025)

YingLong-weather: AI-Based Limited Area Models for Forecasting of Non-precipitation Surface Meteorological Variables
por: Xu, Pengbo, et al.
Publicado: (2024)

Understanding the Evolution of Global Atmospheric Rivers with Vapor Kinetic Energy Framework
por: Zhang, Aidi, et al.
Publicado: (2025)

A Cloud Condensation Model on Insoluble Nuclei Validated with Radiosonde and Ceilometer Data: Implications for Dust based Rainfall Forecasting
por: Arielly, Rani, et al.
Publicado: (2026)

Dynamic and thermodynamic contributions to future extreme-rainfall intensification: a case study for Belgium
por: Schoofs, Jozefien, et al.
Publicado: (2025)

Improving Post-Processing for Quantitative Precipitation Forecasting Using Deep Learning: Learning Precipitation Physics from High-Resolution Observations
por: Lee, ChangJae, et al.
Publicado: (2025)