Daniel Wright

Assistant Professor

University of Wisconsin-Madison

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

ORCID

Google Scholar

About

Daniel Wright is an Assistant Professor at the University of Wisconsin–Madison, USA. His research focuses on flood frequency, urban drainage systems, and climate-induced changes in flood hazards, with recent contributions to the understanding of rainfall variability and its impacts. He has published extensively on topics such as flood prediction accuracy using AI, satellite precipitation datasets, and urban flooding dynamics.

Daniel Wright

Research Interests

Explore related searches

Contact this professor

About

Articles (27)

Dynamics-constrained rainfall projection reveals substantial increase in population exposure to unprecedented floods in the North China Plain

Impacts of rainfall spatiotemporal variability on pressurized flow conditions in urban drainage systems

Increasing flood hazard in the Lower Mississippi River due to extreme storm clustering

Flood frequency sampling error: insights from regional analysis, stochastic storm transposition, and physics-based modeling

Morphing Sub‐Daily Rainfall Fields Based on Temperature Shifts to Project Future Changes in Rainfall Extremes

AI Improves the Accuracy, Reliability, and Economic Value of Continental‐Scale Flood Predictions

STREAM‐Sat: A Novel Near‐Realtime Quasi‐Global Satellite‐Only Ensemble Precipitation Dataset

CON-SST-RAIN: Continuous Stochastic Space–Time Rainfall generation based on Markov chains and transposition of weather radar data

Precipitation uncertainty estimation and rainfall-runoff model calibration using iterative ensemble smoothers

A simple and robust approach for adapting design storms to assess climate-induced changes in flash flood hazard

Urban flooding is intensified by outdated design guidelines and a lack of a systems approach

Connectivity in urbanscapes can cause unintended flood impacts from stormwater systems

Investigating Utilization of Activated Distributed Storage Networks for Peak Flow Reduction Using Stochastic Storm Transposition

A Nonstationary Stochastic Rainfall Generator Conditioned on Global Climate Models for Design Flood Analyses in the Mississippi and Other Large River Basins

A Nonstationary Stochastic Rainfall Generator Conditioned on Global Climate Models for Design Flood Analyses in the Mississippi and Other Large River Basins

Evolution and Characterization of Pressurized Flow Conditions in Stormwater Collection Networks

Urban Ecohydrology: Accounting for Sub‐Grid Lateral Water and Energy Transfers in a Land Surface Model

Advancing Characterization and Modeling of Space-Time Correlation Structure and Marginal Distribution of Short-Duration Precipitation

The evaluation and downscaling‐calibration of IMERG precipitation products at sub‐daily scales over a metropolitan region

Incorporating IMERG satellite precipitation uncertainty into seasonal and peak streamflow predictions using the Hillslope Link hydrological model

Toward a Globally-Applicable Uncertainty Quantification Framework for Satellite Multisensor Precipitation Products Based on GPM DPR

Diverse Physical Processes Drive Upper‐Tail Flood Quantiles in the US Mountain West

Ensemble Representation of Satellite Precipitation Uncertainty Using a Nonstationary, Anisotropic Autocorrelation Model

The Effect of Storm Direction on Flood Frequency Analysis

Connecting Hydrometeorological Processes to Low‐Probability Floods in the Mountainous Colorado Front Range

Breaking Down the Computational Barriers to Real‐Time Urban Flood Forecasting

The Upper Tail of Precipitation in Convection‐Permitting Regional Climate Models and Their Utility in Nonstationary Rainfall and Flood Frequency Analysis

Collaborators (20)

Frances V. Davenport

Viviana Maggioni

Felipe Quintero

Pierre-Emmanuel Kirstetter

Carolyn Voter

Valeriy Ivanov

Zhe Li

Ricardo Mantilla

Søren Thorndahl

Francesco Marra

Gabriele Villarini

Witold Krajewski

Jose Vasconcelos

Ashish Sharma

Giuseppe Mascaro

Hayley J. Fowler

Guo Yu

Quan Wang

Gabriel Perez

Christoffer Bang Andersen

How do I reach out?

Meet Kite AI