Yang Hong

Professor

University of Oklahoma

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

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

About

Yang Hong is a Professor at the University of Oklahoma in the United States. His research areas include hydrometeorology, flood predictability, and the impacts of climate change on precipitation patterns. Recent publications focus on the evaluation of precipitation products, flood characteristics, and simulation frameworks aimed at optimizing flood forecasting and management.

Articles (12)

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Collaborators (4)

Renee A. McPherson

UNITED STATES

View details

Xiao-Ming Hu

University of Oklahoma

UNITED STATES

View details

Shang Gao

Assistant Professor

University of Arizona

UNITED STATES

View details

Yixin Wen

Assistant Professor

University of Florida

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Yang Hong

Research Interests

Explore related searches

Contact this professor

About

Articles (12)

Cross-Examining Precipitation Products by Rain Gauge, Remote Sensing, and WRF Simulations over a South American Region across the Pacific Coast and Andes

Spatiotemporal Characteristics of US Floods: Current Status and Forecast Under a Future Warmer Climate

A flood predictability study for Hurricane Harvey with the CREST-iMAP model using high-resolution quantitative precipitation forecasts and U-Net deep learning precipitation nowcasts

Can re-infiltration process be ignored for flood inundation mapping and prediction during extreme storms? A case study in Texas Gulf Coast region

CREST-VEC: a framework towards more accurate and realistic flood simulation across scales

The conterminous United States are projected to become more prone to flash floods in a high-end emissions scenario

Spatiotemporal Characteristics of US Floods: Current Status and Forecast Under a Future Warmer Climate

Cross-Examining Precipitation Products by Rain Gauge, Remote Sensing, and WRF Simulations over a South American Region across the Pacific Coast and Andes

A flood predictability study for Hurricane Harvey with the CREST-iMAP model using high-resolution quantitative precipitation forecasts and U-Net deep learning precipitation nowcasts

Can re-infiltration process be ignored for flood inundation mapping and prediction during extreme storms? A case study in Texas Gulf Coast region

CREST-VEC: a framework towards more accurate and realistic flood simulation across scales

A comprehensive flood inundation mapping for Hurricane Harvey using an integrated hydrological and hydraulic model

Collaborators (4)

Renee A. McPherson

Xiao-Ming Hu

Shang Gao

Yixin Wen

Make your next move.