Impact of Physics Parameterization Ordering in a Global Atmosphere Model
Because weather and climate models must capture a wide variety of spatial and temporal scales, they rely heavily on parameterizations of subgrid‐scale processes.
Aaron S. Donahue, Peter M. Caldwell
doaj +1 more source
How Do Climate Model Resolution and Atmospheric Moisture Affect the Simulation of Unprecedented Extreme Events Like the 2021 Western North American Heat Wave? [PDF]
Although the 2021 Western North America (WNA) heat wave was predicted by weather forecast models, questions remain about whether such strong events can be simulated by global climate models (GCMs) at different model resolutions.
Chang, Ping +5 more
core +1 more source
ELM2.1-XGBfire1.0: improving wildfire prediction by integrating a machine learning fire model in a land surface model [PDF]
Wildfires have shown increasing trends in both frequency and severity across the contiguous United States (CONUS). However, process-based fire models have difficulties in accurately simulating the burned area over the CONUS due to a simplification of the
Y. Liu +5 more
doaj +1 more source
The Influence of Climate Variability and Future Climate Change on Atlantic Hurricane Season Length
Atlantic hurricane season length is important for emergency management preparation, motivating the need to understand its variability and change. We investigated the influence of ocean variability on Atlantic hurricane season length in observations and a
Christina M. Patricola +2 more
doaj +1 more source
Simulating Dynamic Roots in the Energy Exascale Earth System Land Model
Roots are important contributors to plant development, functioning to provide nutrients and water for plant growth. However, roots and their functions are often simplified in Earth system models, which limit the feedback of root foraging strategy on ...
B. A. Drewniak
doaj +1 more source
E3SM-MMF: Cloud Resolving Model Development on Heterogeneous Supercomputers
Cloud Resolving Model (CRM) development for efficient utilization of GPUs on hybrid supercomputers in preparation for exascale. This work is part of a larger project, E3SM-MMF component of the U.S. Department of Energy(DOE) Exascale Computing Project.
Norman, Matt +4 more
openaire +1 more source
Modeling perennial bioenergy crops in the E3SM land model (ELMv2)
Modeling perennial bioenergy crops in the E3SM land model (ELMv2)
openaire +1 more source
A cleaner snow future mitigates Northern Hemisphere snowpack loss from warming. [PDF]
Hao D +7 more
europepmc +1 more source
AI-based weather and climate models are emerging as accurate and computationally efficient tools. Beyond weather forecasting, they also show promise to accelerate storyline analyses. We evaluate NeuralGCM’s ability to simulate an extreme heatwave against
Shiheng Duan +3 more
doaj +1 more source
Arctic benthos biogeochemistry in E3SM: progress and applications
Nicole Jeffery +3 more
openaire +2 more sources

