This paper surveys the current state of knowledge regarding large-scale meteorological
patterns (LSMPs) associated with short-duration (less than 1 week) extreme precipitation …

Ongoing and potential future changes in precipitation will affect water management
infrastructure. Urban drainage systems are particularly vulnerable. Design standards for …

In this study, a recurrent neural network (RNN) was used to perform statistical downscaling,
and its advantages were showed compared to the traditional artificial neural network (ANN) …

The Pyrenees, located in the transition zone of Atlantic and Mediterranean climates,
constitute a paradigmatic example of mountains undergoing rapid changes in environmental …

This New York City Panel on Climate Change (NPCC3) chapter builds on the projections
developed by the second New York City Panel on Climate Change (NPCC2)(Horton et al …

The present study projected future climate change for the densely populated Central North
region of Egypt (CNE) for two representative concentration pathways (RCPs) and two futures …

Current generation general circulation models (GCMs) simulate synoptic-scale climate state
variables such as geopotential heights, specific humidity, and integrated vapor transport …

Empirical-statistical downscaling (ESD) can be a computationally advantageous alternative
to dynamical downscaling in representing a high-resolution regional climate. Two distinct …

Climate change is expected to result in more intense precipitation events that will affect the
performance and design requirements of stormwater infrastructure. Such changes will vary …

Confronting the challenges of a rapidly urbanizing world threatened by climate change
requires expanding the traditional influence and capabilities of urban planning and urban …