activity
20232026
most citedOMG-HD: A High-Resolution AI Weather Model for End-to-End Forecasts from Observations

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

physics.ao-ph2026

Skillful high-resolution weather forecasting independent of physical models

Pengcheng Zhao, Siqi Xiang, Weixin Jin +10

Accurate and timely weather forecasts are critical for high-impact decisions in modern society. Machine-learning-based weather prediction is emerging as an alternative for producin…

cs.LG2026

Advancing Subseasonal Forecasting with Machine Learning

Hannah Guan, Soukayna Mouatadid, Paulo Orenstein +10

Decision-makers rely on weather forecasts to plant crops, manage wildfires, allocate water and energy, and prepare for weather extremes. Today, such forecasts enjoy unprecedented a…

physics.ao-ph2025

Huracan: A skillful end-to-end data-driven system for ensemble data assimilation and weather prediction

Zekun Ni, Jonathan Weyn, Hang Zhang +7

Over the past few years, machine learning-based data-driven weather prediction has been transforming operational weather forecasting by providing more accurate forecasts while usin…

physics.ao-ph20241 cited

OMG-HD: A High-Resolution AI Weather Model for End-to-End Forecasts from Observations

Pengcheng Zhao, Jiang Bian, Zekun Ni +9

In recent years, Artificial Intelligence Weather Prediction (AIWP) models have achieved performance comparable to, or even surpassing, traditional Numerical Weather Prediction (NWP…

eess.SP2023

Kunyu: A High-Performing Global Weather Model Beyond Regression Losses

Zekun Ni

Over the past year, data-driven global weather forecasting has emerged as a new alternative to traditional numerical weather prediction. This innovative approach yields forecasts o…