Cover Image

Assimilating Observed Surface Pressure into ML Weather Prediction Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Slivinski, Laura C., Whitaker, Jeffrey S., Frolov, Sergey, Smith, Timothy A., Agarwal, Niraj
Format:	Preprint
Published:	2024
Subjects:	Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Skillful Global Ocean Emulation and the Role of Correlation-Aware Loss
by: Agarwal, Niraj, et al.
Published: (2026)

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

Imposing the Fundamental Dynamical Constraint of Hydrostatic Balance to Improve Global ML Weather Prediction
by: Subramaniam, Akshay, et al.
Published: (2025)

Exploring the Use of Machine Learning Weather Models in Data Assimilation
by: Tian, Xiaoxu, et al.
Published: (2024)

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

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

Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation
by: Andry, Gérôme, et al.
Published: (2025)

Machine Learning (ML)-Physics Fusion Model Outperforms Both Physics-Only and ML-Only Models in Typhoon Predictions
by: Niu, Zeyi, et al.
Published: (2025)

Error Growth Dynamic and Predictability of Tropical Cyclone in Machine Learning Weather Prediction Model
by: Pu, Jingchen, et al.
Published: (2026)

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

Improving Typhoon Predictions by Integrating Data-Driven Machine Learning Models with Physics Models Based on the Spectral Nudging and Data Assimilation
by: Niu, Zeyi, et al.
Published: (2024)

Observed Patterns of Surface Solar Irradiance under Cloudy and Clear-sky Conditions
by: Mol, Wouter, et al.
Published: (2023)

Learning Data-driven Surrogate and Correction Models for Satellite Observations in Numerical Weather Prediction
by: Buono, Gian Luca, et al.
Published: (2026)

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

Predicting Beyond Training Data via Extrapolation versus Translocation: AI Weather Models and Dubai's Unprecedented 2024 Rainfall
by: Sun, Y. Qiang, et al.
Published: (2025)

Remote Influences of Land Surface Temperature and their Implications for Sea Surface Temperature Patterns
by: Zhang, Bosong, et al.
Published: (2026)

Watch an AI Weather Model Learn (and Unlearn) Tropical Cyclones
by: Baiman, Rebecca, et al.
Published: (2026)

HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales
by: Abdi, Daniel, 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)

Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK
by: Wang, Wenqi, et al.
Published: (2024)

3D-Var Data Assimilation using a Variational Autoencoder
by: Melinc, Boštjan, et al.
Published: (2023)

LO-SDA: Latent Optimization for Score-based Atmospheric Data Assimilation
by: Sun, Jing-An, et al.
Published: (2025)

Predictability of Global AI Weather Models
by: Kieu, Chanh
Published: (2024)

Physically Consistent Global Atmospheric Data Assimilation with Machine Learning in Latent Space
by: Fan, Hang, et al.
Published: (2025)

A Deep Learning Earth System Model for Efficient Simulation of the Observed Climate
by: Cresswell-Clay, Nathaniel, et al.
Published: (2024)

Impact of an Ensemble of Ocean Data Assimilations in ECMWF's next generation ocean reanalysis system
by: Chrust, Marcin, et al.
Published: (2024)

ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting
by: Xiang, Yanfei, et al.
Published: (2024)

Mixed-Precision Computing in the GRIST Dynamical Core for Weather and Climate Modelling
by: Chen, Siyuan, 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)

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)

Towards NoahMP-AI: Enhancing Land Surface Model Prediction with Deep Learning
by: Mbarak, Mahmoud, et al.
Published: (2025)

Instability-Aware Steering of an Extreme Atmospheric River in an AI Weather Foundation Model
by: Liu, Moyan, et al.
Published: (2026)

Intraseasonal Equatorial Kelvin and Rossby Waves in Modern AI-ML Models
by: Jalan, Shrutee, et al.
Published: (2025)

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts
by: Gupta, Aayush, et al.
Published: (2026)

Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
by: Manshausen, Peter, et al.
Published: (2024)

DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
by: Gong, Junchao, et al.
Published: (2025)

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

Future Amplification of Moist Weather Extremes in the Midlatitudes
by: Li, Funing, et al.
Published: (2026)

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

Unsupervised Super-Resolution Data Assimilation Using Conditional Variational Autoencoders with Estimating Background Covariances via Super-Resolution
by: Yasuda, Yuki, et al.
Published: (2023)