17 citations · 20 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
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…
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…
MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather
Sylwester Klocek, Haiyu Dong, Matthew Dixon +7
We present the encoder-forecaster convolutional long short-term memory (LSTM) deep-learning model that powers Microsoft Weather's operational precipitation nowcasting product. This…