most citedFengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere

3 citations · 4 across the 9 of their papers we have counts for

collaborators

15 papers

cs.AI2025

SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents

Yankai Jiang, Wenjie Lou, Lilong Wang +17

We introduce SCP: the Science Context Protocol, an open-source standard designed to accelerate discovery by enabling a global network of autonomous scientific agents. SCP is built…

cs.AI2025

EWE: An Agentic Framework for Extreme Weather Analysis

Zhe Jiang, Jiong Wang, Xiaoyu Yue +5

Extreme weather events pose escalating risks to global society, underscoring the urgent need to unravel their underlying physical mechanisms. Yet the prevailing expert-driven, labo…

cs.CV2025

SynWeather: Weather Observation Data Synthesis across Multiple Regions and Variables via a General Diffusion Transformer

Kaiyi Xu, Junchao Gong, Zhiwang Zhou +7

With the advancement of meteorological instruments, abundant data has become available. Current approaches are typically focus on single-variable, single-region tasks and primarily…

physics.ao-ph2025

LO-SDA: Latent Optimization for Score-based Atmospheric Data Assimilation

Jing-An Sun, Hang Fan, Junchao Gong +8

Data assimilation (DA) plays a pivotal role in numerical weather prediction by systematically integrating sparse observations with model forecasts to estimate optimal atmospheric i…

cs.LG2025

DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space

Junchao Gong, Jingyi Xu, Ben Fei +7

Weather prediction is a critical task for human society, where impressive progress has been made by training artificial intelligence weather prediction (AIWP) methods with reanalys…

physics.geo-ph2025

OpenSWI: A Massive-Scale Benchmark Dataset for Surface Wave Dispersion Curve Inversion

Feng Liu, Sijie Zhao, Xinyu Gu +8

Surface wave dispersion curve inversion plays a critical role in both shallow resource exploration and deep geological studies, yet it remains hindered by sensitivity to initial mo…