Global climate models (GCMs) are developed to simulate past climate and produce
projections of climate in future. Their roles in ascertaining regional issues and possible …

Climate change and global urbanization have often been anticipated to increase future
population exposure (frequency and intensity) to extreme weather over the coming decades …

Decision making under deep uncertainty (DMDU) approaches are well‐suited for making
decisions about infrastructure to manage flooding exacerbated by climate change. One …

Six bias correction (BC) methods; delta-method (DT), linear scaling (LS), power
transformation of precipitation (PTR), empirical quantile mapping (EQM), gamma quantile …

A data-driven approach for obtaining near-term (2–20 years) regional temperature and
precipitation projections utilizing local historical observations was established in this study to …

Abstract Intensity-duration-frequency (IDF) curves, commonly used in stormwater
infrastructure design to represent characteristics of extreme rainfall, are gradually being …

Impacts modelers and stakeholders use publicly available data sets of downscaled climate
projections to assess and design infrastructure for changes in future rainfall extremes. If …

MOP and 239–242, 240–241t; Policy Statement 418, 238; report 2 3–4, 232; Standard 26-97
244; standards about sensitivity to weather and climate extremes 240–241t ASCE/ANSI …

Efforts to diagnose the risks of a changing climate often rely on downscaled and bias-
corrected climate information, making it important to understand the uncertainties and …

Stormwater infrastructure in the United States is designed using governmental precipitation
frequency documents and informed by State Departments of Transportation (DOT) …