A low-to-no snow future and its impacts on water resources in the western United States

ER Siirila-Woodburn, AM Rhoades… - Nature Reviews Earth & …, 2021 - nature.com
Anthropogenic climate change is decreasing seasonal snowpacks globally, with potentially
catastrophic consequences on water resources, given the long-held reliance on snowpack …

Kilometer-scale climate models: Prospects and challenges

C Schär, O Fuhrer, A Arteaga, N Ban… - Bulletin of the …, 2020 - journals.ametsoc.org
Currently major efforts are underway toward refining the horizontal resolution (or grid
spacing) of climate models to about 1 km, using both global and regional climate models …

The High-Resolution Rapid Refresh (HRRR): An hourly updating convection-allowing forecast model. Part I: Motivation and system description

DC Dowell, CR Alexander, EP James… - Weather and …, 2022 - journals.ametsoc.org
Abstract The High-Resolution Rapid Refresh (HRRR) is a convection-allowing
implementation of the Advanced Research version of the Weather Research and …

Confronting the challenge of modeling cloud and precipitation microphysics

H Morrison, M van Lier‐Walqui… - Journal of advances …, 2020 - Wiley Online Library
In the atmosphere, microphysics refers to the microscale processes that affect cloud and
precipitation particles and is a key linkage among the various components of Earth's …

[HTML][HTML] Opinion: Optimizing climate models with process knowledge, resolution, and artificial intelligence

T Schneider, LR Leung, RCJ Wills - Atmospheric Chemistry and …, 2024 - acp.copernicus.org
Accelerated progress in climate modeling is urgently needed for proactive and effective
climate change adaptation. The central challenge lies in accurately representing processes …

Active surface area-dependent water harvesting of desert beetle-inspired hybrid wetting surfaces

JP Chakrapani Gunarasan, JW Lee - Langmuir, 2024 - ACS Publications
The increasing frequency of water scarcity is an acute worldwide problem. Nature-inspired
water harvesting from fog is an important method to obtain freshwater in arid areas. Existing …

Data‐driven super‐parameterization using deep learning: Experimentation with multiscale Lorenz 96 systems and transfer learning

A Chattopadhyay, A Subel… - Journal of Advances in …, 2020 - Wiley Online Library
To make weather and climate models computationally affordable, small‐scale processes are
usually represented in terms of the large‐scale, explicitly resolved processes using physics …

Modernization of atmospheric physics parameterization in Canadian NWP

R McTaggart‐Cowan, PA Vaillancourt… - Journal of Advances …, 2019 - Wiley Online Library
Atmospheric physics is represented in numerical models by parameterizations that use
resolved‐scale information to estimate the effects of physical processes on the atmospheric …

Evaluation of mesoscale convective systems in climate simulations: Methodological development and results from MPAS-CAM over the United States

Z Feng, F Song, K Sakaguchi, LR Leung - Journal of Climate, 2021 - journals.ametsoc.org
A process-oriented approach is developed to evaluate warm-season mesoscale convective
system (MCS) precipitation and their favorable large-scale meteorological patterns …

Deep emulators for differentiation, forecasting, and parametrization in Earth science simulators

M Nonnenmacher… - Journal of Advances in …, 2021 - Wiley Online Library
To understand and predict large, complex, and chaotic systems, Earth scientists build
simulators from physical laws. Simulators generalize better to new scenarios, require fewer …