Cover Image

Winter Precipitation Type Diagnosis and Uncertainty Quantification with a Physically Consistent Machine Learning Method

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Becker, Charlie, Gagne II, David John, Demuth, Julie, Schreck, John S., Radford, Jacob, Gantos, Gabrielle, Kim, Eliot, Kimpara, Dhamma, Reiner, Sophia, Willson, Justin, Wirz, Christopher D.
Format:	Preprint
Published:	2025
Subjects:	Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CAMulator: Fast Emulation of the Community Atmosphere Model
by: Chapman, William E., et al.
Published: (2025)

Controllable Probabilistic Forecasting with Stochastic Decomposition Layers
by: Schreck, John S., et al.
Published: (2025)

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)

Community Research Earth Digital Intelligence Twin (CREDIT)
by: Schreck, John, et al.
Published: (2024)

Improving AI weather prediction models using global mass and energy conservation schemes
by: Sha, Yingkai, et al.
Published: (2025)

Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications
by: Schreck, John S., et al.
Published: (2023)

Investigating the use of terrain-following coordinates in AI-driven precipitation forecasts
by: Sha, Yingkai, et al.
Published: (2025)

Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation
by: Fan, Da, et al.
Published: (2025)

Improving ensemble extreme precipitation forecasts using generative artificial intelligence
by: Sha, Yingkai, et al.
Published: (2024)

Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model
by: Sha, Yingkai, et al.
Published: (2023)

Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations
by: Fan, Da, et al.
Published: (2023)

Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
by: Hua, Zhanxiang, et al.
Published: (2025)

AI-Based Regional Emulation for Kilometer-Scale Dynamical Downscaling
by: Sha, Yingkai, et al.
Published: (2026)

A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling
by: González-Abad, Jose
Published: (2024)

Reinforcement Learning (RL) Meets Urban Climate Modeling: Investigating the Efficacy and Impacts of RL-Based HVAC Control
by: Yu, Junjie, et al.
Published: (2025)

GPROF-IR: An Improved Single-Channel Infrared Precipitation Retrieval for Merged Satellite Precipitation Products
by: Pfreundschuh, Simon, et al.
Published: (2026)

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

Huayu: Advanced Real-Time Precipitation Estimation from Geostationary Satellite
by: Song, Zijiang, et al.
Published: (2025)

Dynamics and Model Representation of Two Contrasting Extreme Precipitation Events in the Sahel
by: Sanogo, Souleymane, et al.
Published: (2025)

Moisture Budgets and Circulation Analogs: Diagnosing Dynamic and Thermodynamic Precipitation Change
by: Doane-Solomon, Robert, et al.
Published: (2026)

Marine Heatwaves in the Arabian Sea: Drivers and Impacts on Atmospheric Circulation and Extreme Precipitation
by: Suhas, D. L., et al.
Published: (2026)

Winter forecasting of September/October rainfall
by: Marcelja, Stjepan
Published: (2026)

Do Climate Models Need Microphysical and Convective Parameterizations to Generate Accurate Precipitation Fields?
by: Moreno, Raul, et al.
Published: (2026)

Precipitation diffusion downscaling and application to out-of-distribution simulations with and without stratospheric aerosol injection
by: Dong, Cameron, et al.
Published: (2026)

Epistemic and Aleatoric Uncertainty Quantification in Weather and Climate Models
by: Mansfield, Laura A., et al.
Published: (2025)

Arctic Oscillation Modulation of Winter Air-Sea Coupling in the East/Japan Sea: Persistence, Timescales, and Extremes
by: Lim, Gyuchang, et al.
Published: (2025)

Winter Noctilucent Clouds Following Sudden Stratospheric Warming: First Observations
by: Ugolnikov, Oleg S.
Published: (2025)

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

How do the Pacific and Atlantic Oceans synergize to modulate Southeastern United States Precipitation Variability?
by: Singhai, Priyanshi, et al.
Published: (2024)

Consistency Conditions for Differentiable Surrogate Losses
by: Khurana, Drona, et al.
Published: (2025)

The Link between Gulf Stream Precipitation and European Blocking in General Circulation Models and the Role of Horizontal Resolution
by: Strommen, Kristian, et al.
Published: (2024)

Flow Matching for Convective-Scale Precipitation Downscaling
by: Wetherell, Tom
Published: (2026)

Guided Diffusion Sampling for Precipitation Forecast Interventions
by: Ueyama, Ayumu, et al.
Published: (2026)

Data-Driven Probabilistic Air-Sea Flux Parameterization
by: Wu, Jiarong, et al.
Published: (2025)

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

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

Direct Radiative Impacts of Stratospheric Aerosols on the Tropical Troposphere: Clouds, Precipitation, and Circulation in Convection-Resolving and Global Simulations
by: McGraw, Zachary, et al.
Published: (2025)

GPC/m: Global Precipitation Climatology by Machine Learning; Quasi-global, Daily, and One Degree Spatial Resolution
by: Takahashi, Hiroshi G.
Published: (2024)

Am I Confused or Is This Confusing?: Deep Ensembles for ENSO Uncertainty Quantification
by: McAfee, Devin M., et al.
Published: (2025)

Climatology of severe local storm environments and synoptic-scale features over North America in ERA5 reanalysis and CAM6 simulation
by: Li, Funing, et al.
Published: (2020)