Shibang Zhu

I am currently pursuing a professional master’s degree at the Department of Atmospheric and Oceanic Sciences (AOS), Fudan University, advised by Prof. Wen Zhou. I completed my undergraduate studies in Spatial Information and Digital Technology at Shanghai Ocean University in 2026.

My interests lie in weather and climate predictability, especially East Asian monsoons, heatwave-to-heavy-rainfall transitions, and combining machine learning with physical-process information. Current projects include drought forecasting, quasi-biennial oscillation (QBO) experiments, and Antarctic station forecasts.

Resume

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Education

Fudan UniversitySep. 2026 – Present

Professional Master’s in Meteorology · Department of Atmospheric and Oceanic Sciences · Advisor: Prof. Wen Zhou

Shanghai Ocean UniversitySep. 2022 – Jul. 2026

B.Eng. in Spatial Information and Digital Technology · GPA 3.59/4.0, ranked 2/91 (Top 5%)

Research Experience

ResNet-Transformer Runoff Prediction with Multi-Source Data FusionFirst authorAug. 2024 – May 2025

A ResNet-Transformer runoff forecasting model fusing meteorological, DEM, and upstream-runoff data; NSE 0.992, ≈13.8% above the LSTM baseline. First-author paper in Water Resources Management (JCR Q1).

Intelligent Meteorological MapProject leaderJul. 2024 – Mar. 2025

An AI platform unifying meteorological visualization, forecasting, and analytics: ECharts/Cesium frontend, SpringBoot + MySQL/Redis backend, and a CNN-LSTM temperature module.

Honors & Awards

Competitions

Third Prize · 2025 National College Students Computer Design Competition (project leader)
Second Prize · 2025 Shanghai Computer Application Ability Competition (project leader)
Third Prize · 2024 CUMCM (Shanghai division)
S Prize · 2025 MCM/ICM (COMAP)

Scholarships & Honors

First-Class People’s Scholarship
Outstanding Student Pacesetter
Single-Subject Excellence & Professional Achievement Scholarship
Outstanding Youth League Member

Software Copyrights

Multiple software copyrights, incl. CV-based software for vehicle collision risk assessment.

Skills

ProgrammingPython, Java

Frameworks & ToolsPyTorch, SpringBoot, ECharts, Cesium

DatabasesMySQL, Oracle, Redis

OtherCET-6 (542) · Academic English reading & writing

Publications

2025

Application of the ResNet-Transformer Model for Runoff Prediction Based on Multi-source Data Fusion

Shibang Zhu (First author), Zhaocai Wang, Wenting Zhang, Jingqi Yang

Water Resources Management, 39 (2025), 6073–6092 · JCR Q1, IF = 4.7 (Springer)

A multi-source data fusion ResNet-Transformer model for runoff forecasting in the Jinsha River Basin; average NSE 0.992 across forecast horizons (≈13.8% above the LSTM baseline), with SHAP-based interpretability analysis.

DOI: 10.1007/s11269-025-04241-3

Blogs

What AI Weather Models Can (and Can’t) Tell Us TodayStarter

Oct. 2026

How data-driven weather models work — what they do well, where they blur, and what forecasters should trust.

AI Meets Physical Mechanisms: Why Constraints MatterStarter

Sep. 2026

Why physical constraints matter more than raw accuracy — and how to tell genuine skill from climatological mimicry.

East Asian Monsoon Extremes: When Heatwaves Turn Into DownpoursStarter

Aug. 2026

Heatwave-to-heavy-rainfall transitions: circulation, air–sea memory, and their predictability.

Projects

Current Projects

Daily-Scale Drought Forecasting in the Jinsha River Basin2026 – Present

Since joining the group in 2026, I have been building a physics-guided deep-learning hybrid model for daily-scale drought forecasting in the Jinsha River Basin, extending the multi-source fusion approach of my runoff study to drought. Code and data on GitHub.

Quasi-Biennial Oscillation (QBO) Experiments2026 – Present

I am exploring the QBO as a predictor of extended-range variability, tracing how QBO phases connect to circulation anomalies that influence East Asian climate. Code on GitHub.

Antarctic Station Forecasts2026 – Present

I am applying AI weather models to forecasting for Antarctic stations: verification, site-specific correction, and products supporting fieldwork.

Private Projects

freeearth
🔒 Private repository
2D/3D meteorological geospatial visualization toolkit for Leaflet and Cesium (v0.9.0).
FD-ICECAP
🔒 Private repository
Polar forecasting system for Antarctic stations.
climate-data-downloader
🔒 Private repository
Climate data download toolkit.
crypto-trader-monitor
🔒 Private repository
Cryptocurrency market monitoring system.

For inquiries, please contact me via email.

Open Source

jinsha-daily-drought-hybrid

Code & data for the Jinsha River Basin daily drought forecasting project: a physics-guided hybrid model (PyTorch).
Python
pytorch-cnn-lstm-temperature-prediction

PyTorch CNN-LSTM temperature time-series forecasting experiments behind the Intelligent Meteorological Map’s real-time predictions.
Python
noaa-dashboard-python

Interactive Plotly dashboards for NOAA weather-station extreme-temperature data.
Python