activity
20242026
most citedA Foundation Model for the Earth System

36 citations · 42 across the 8 of their papers we have counts for

collaborators

9 papers

physics.ao-ph2026

MW-Nowcast: Six-hour ensemble nowcasting of extreme precipitation

Ning Wang, Zuliang Fang, Weixin Jin +19

Extending reliable nowcasting of extreme precipitation could provide critical additional time for warnings and emergency response during high-impact events such as flash floods. Ra…

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.LG2025★ 1 cited

SolarSeer: Ultrafast and accurate 24-hour solar irradiance forecasts outperforming numerical weather prediction across the USA

Mingliang Bai, Zuliang Fang, Shengyu Tao +14

Accurate 24-hour solar irradiance forecasting is essential for the safe and economic operation of solar photovoltaic systems. Traditional numerical weather prediction (NWP) models…

physics.ao-ph2025★ 1 cited

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-ph2024★ 1 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…

physics.ao-ph2024★ 1 cited

ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting

Yanfei Xiang, Weixin Jin, Haiyu Dong +7

The forecasting skill of numerical weather prediction (NWP) models critically depends on the accurate initial conditions, also known as analysis, provided by data assimilation (DA)…

physics.ao-ph2024★ 1 cited

WeatherReal: A Benchmark Based on In-Situ Observations for Evaluating Weather Models

Weixin Jin, Jonathan Weyn, Pengcheng Zhao +7

In recent years, AI-based weather forecasting models have matched or even outperformed numerical weather prediction systems. However, most of these models have been trained and eva…

physics.ao-ph2024★ 36 cited

A Foundation Model for the Earth System

Cristian Bodnar, Wessel P. Bruinsma, Ana Lucic +15

Reliable forecasts of the Earth system are crucial for human progress and safety from natural disasters. Artificial intelligence offers substantial potential to improve prediction…

physics.ao-ph2024★ 1 cited

An ensemble of data-driven weather prediction models for operational sub-seasonal forecasting

Jonathan A. Weyn, Divya Kumar, Jeremy Berman +4

We present an operations-ready multi-model ensemble weather forecasting system which uses hybrid data-driven weather prediction models coupled with the European Centre for Medium-r…