Chong-Yu Xu

Professor

University of Oslo

Norway

Research Interests

Explore related searches

Professors in Norway

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Chong-Yu Xu is a Professor at the University of Oslo in Norway. His research areas include hydrological drought evaluation, climate change impacts, and ecological assessments using machine learning techniques. Recent publications highlight innovative methods for analyzing extreme precipitation changes and assessing geological disaster risks. He is committed to advancing the understanding of interactions between climate, hydrology, and ecological systems.

Articles (20)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (2)

Thordis Thorarinsdottir

Professor

University of Oslo

NORWAY

View details

Stefan Sobolowski

Research Professor/Theme leader

NORCE Norwegian Research Centre

NORWAY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Chong-Yu Xu

Research Interests

Explore related searches

Contact this professor

About

Articles (20)

Future Local‐Scale Extreme Precipitation Changes in Norway: A Convection‐Permitting Climate Model Perspective

A novel time-varying threshold level method for evaluating non-stationary hydrological drought

Geological Disaster Susceptibility and Risk Assessment in Complex Mountainous Terrain: A Case Study from Southern Ningxia, China

Boosting Efficiency: Optimizing Pumped-Storage Power Station Operation by a Mixed Integer Linear Programming Approach

Investigating the Regulation Effects of Vegetation Restoration on Precipitation Patterns Over the Loess Plateau, China

Unraveling Interactive Effects of Climate, Hydrology, and CO2 on Ecological Drought with Interpretable Machine Learning

Assessing the performance of convection-permitting climate model in reproducing basin-scale hydrological extremes: A western Norway case study

A Framework for Quantifying the Robustness and Uncertainty of Drought Projections

Formation mechanism analysis and the prediction for compound flood arising from rainstorm and tide using explainable artificial intelligence

Identification of drought-flood abrupt alternation by a new non-stationary framework considering natural-social system impacts

A novel framework to improve the consistency of water quality attribution from natural and anthropogenic factors

An Integrated Framework for Spatiotemporally Merging Multi-Sources Precipitation Based on F-SVD and ConvLSTM

Detection and Attribution of Changes in Terrestrial Water Storage across China: Climate Change versus Vegetation Greening

An Integrated Approach for Analyzing the Morphological Evolution of the Lower Reaches of the Minjiang River Based on Long-Term Remote Sensing Data

A pathway analysis method for quantifying the contributions of precipitation and potential evapotranspiration anomalies to soil moisture drought

Flexible and consistent Flood–Duration–Frequency modeling: A Bayesian approach

Short-Term Evapotranspiration Forecasting of Rubber (Hevea brasiliensis) Plantations in Xishuangbanna, Southwest China

Oceanic climate changes threaten the sustainability of Asia’s water tower

Response of Soil Erosion to Climate and Subsequent Vegetation Changes in a High-Mountain Basin

Flood Frequency Analysis Using Mixture Distributions in Light of Prior Flood Type Classification in Norway

Collaborators (2)

Thordis Thorarinsdottir

Stefan Sobolowski

Make your next move.