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Email

yuhang.zhang12@unimelb.edu.au

Credentials


Position
Research Fellow in Hydroclimate Forecasting
Department of Infrastructure Engineering
Education
PhD
Beijing Normal University
ORCID

0000-0001-6996-0008

Dr Yuhang Zhang

Research Fellow in Hydroclimate Forecasting
Department of Infrastructure Engineering

27 Scholarly works
1 Projects

HIGHLIGHTS

  • 2026

    Journal article

    A localisation strategy for scalable and efficient multi-source precipitation blending at high resolutions over large domains
    DOI: 10.1016/j.jhydrol.2026.135831
  • 2026

    Other

    Supplementary material to "Design and trial implementation of a continental-scale, kilometre-resolution hourly precipitation analysis for Australia using satellite, radar and gauges"
    DOI: 10.5194/egusphere-2026-666-supplement
  • 2026

    Journal article

    Use of regional sensitivity analysis for diagnosing parsimony of models: A water model case study
    DOI: 10.1016/j.envsoft.2025.106727
  • 2023

    Research Contracts

    Historical / Near Real Time Precipitation Product
  • 2022

    Journal article

    QRF4P-NRT: Probabilistic Post-Processing of Near-Real-Time Satellite Precipitation Estimates Using Quantile Regression Forests
    DOI: 10.1029/2022WR032117
  • 2021

    Journal article

    New Insights Into Error Decomposition for Precipitation Products
    DOI: 10.1029/2021GL094092
  • 2021

    Journal article

    Error characteristics and scale dependence of current satellite precipitation estimates products in hydrological modeling
    DOI: 10.3390/rs13163061
Yuhang Zhang

RECENT SCHOLARLY WORKS

  • 2025

    Journal article

    Improving PM2.5 simulations using LSTM: a study on spatiotemporal generalization
    DOI: 10.1016/j.apr.2025.102647
  • 2025

    Conference Proceedings

    Advancing High-Resolution Precipitation Analysis for Operational Hydrological Applications in Australia: Data Sources, Methodologies, and Recommendations
    DOI: 10.1002/wat2.70037
  • 2025

    Journal article

    The global drought-sensitive areas will expand in the future
    DOI: 10.1016/j.ecolind.2025.113838
  • 2025

    Journal article

    Improve streamflow simulations by combining machine learning pre-processing and post-processing
    DOI: 10.1016/j.jhydrol.2025.132904
  • 2025

    Journal article

    Water body seasonality reveals the dominant role of human activity across the Yangtze River Basin in China
    DOI: 10.1016/j.jhydrol.2025.132759
  • 2025

    Journal article

    Fine-tuning long short-term memory models for seamless transition in hydrological modelling: From pre-training to post-application
    DOI: 10.1016/j.envsoft.2025.106350
  • 2024

    Journal article

    Climate change leads to an expansion of global drought-sensitive area
    DOI: 10.1016/j.jhydrol.2024.130874

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