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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 …
catastrophic consequences on water resources, given the long-held reliance on snowpack …
Kilometer-scale climate models: Prospects and challenges
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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
A process-oriented approach is developed to evaluate warm-season mesoscale convective
system (MCS) precipitation and their favorable large-scale meteorological patterns …
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 …
simulators from physical laws. Simulators generalize better to new scenarios, require fewer …