We present the first application of a fast super resolution convolutional neural network
(FSRCNN) based approach for downscaling earth system model (ESM) simulations. Unlike …

Motivated by the need for cities to prepare for and adapt to climate change, we advance the
paradigm of safe‐to‐fail by focusing on the decision dilemmas and the consideration of …

The water cycle is an important component of the earth system and it plays a key role in
many facets of society, including energy production, agriculture, and human health and …

Global warming is incurring diverse climate changes across different regimes, where high-
resolution models provide valuable insights of the regional climate changes for guiding …

Global warming leads to more frequent and more violent extreme weather events, which
cause severe natural disasters. The sensitivity of physical schemes in numerical weather …

We evaluate the simulated teleconnection of El Niño–Southern Oscillation (ENSO) to winter
season precipitation extremes over the United States in a long (98 years) 1950 control high …

Climate projections at fine spatial resolutions are required to conduct accurate risk
assessment for critical infrastructure and design adaptation planning. Generating these …

The potential impacts of floods are of significant concern to our modern society raising the
need to identify and quantify all the uncertainties that can impact their simulations. Climate …

We evaluate a high‐resolution (0.25°), four‐member ensemble simulation of the global
climate (1979–2005) with the US Department of Energy's Energy Exascale Earth System …

Coupled general circulation models are of paramount importance to quantitatively assessing
the magnitude of future climate change. Usual methods for validating climate models include …