activity
20232026
most citedA Foundation Model for the Earth System

36 citations · 49 across the 9 of their papers we have counts for

collaborators

10 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.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…

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

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…

cs.AI2023★ 8 cited

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang +89

In the upcoming decade, deep learning may revolutionize the natural sciences, enhancing our capacity to model and predict natural occurrences. This could herald a new era of scient…