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Multiscale Convective Circulations and Scale Interactions in a Global Storm‐Resolving Model
Understanding the relation between large‐scale (≳100 km) tropical atmospheric motions and small‐scale convective circulations remains a challenge, despite such multiscale interactions playing a crucial role in the dynamics of large‐scale circulations. In
Pedro Angulo‐Umana +3 more
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Global storm‐resolving models (GSRMs) that can explicitly resolve some of deep convection are now being integrated for climate timescales. GSRMs are able to simulate more realistic precipitation distributions relative to traditional Coupled Model ...
Ilai Guendelman +9 more
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Mesoscale convective systems (MCSs) are critical components of global energy and water cycles and significantly contribute to extreme weather events. However, projecting future MCS behavior remains challenging due to the limitations of regional models ...
Wenhao Dong +5 more
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Weaker land-atmosphere coupling in global storm-resolving simulation. [PDF]
Significance The soil moisture–precipitation feedback plays an important role in shaping climate patterns over land. However, the sign of this feedback remains a topic of ongoing debate.
Lee J, Hohenegger C.
europepmc +2 more sources
Investigating the sign of stratocumulus adjustments to aerosols in the ICON global storm-resolving model [PDF]
Aerosols can cause brightening of stratocumulus clouds, thereby cooling the climate. Observations and models disagree on the magnitude of this cooling, partly because of the aerosol-induced liquid water path (LWP) adjustment, with climate models ...
E. Fons +6 more
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Global storm‐resolving model (GSRM) simulations (kilometer‐scale horizontal resolution) of the atmosphere can capture the interaction between the scales of deep cumulus convection and the large‐scale dynamics and thermodynamic properties of the ...
Timothy M. Merlis +10 more
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Using the novel kilometer‐scale global storm‐resolving model Geophysical Fluid Dynamics Laboratory eXperimental System for High‐resolution prediction on Earth‐to‐Local Domains (X‐SHiELD), we investigate the impact of a 4 K increase in sea surface ...
Emanuele Silvio Gentile +6 more
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Reduced cloud cover errors in a hybrid AI-climate model through equation discovery and automatic tuning [PDF]
Cloud-related parameterizations remain a leading source of uncertainty in climate projections. Although machine learning holds promise for Earth system models (ESMs), many data-driven parameterizations lack interpretability, physical consistency, and ...
Arthur Grundner +5 more
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This study firstly examines both spatial and temporal preferences for afternoon precipitation over morning soil moisture using global storm-resolving simulations from two state-of-the-art km-scale Earth system models: the ICOsahedral Non-hydrostatic ...
Junhong Lee +4 more
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Advancing precipitation prediction using a new-generation storm-resolving model framework – SIMA-MPAS (V1.0): a case study over the western United States [PDF]
Global climate models (GCMs) have advanced in many ways as computing power has allowed more complexity and finer resolutions. As GCMs reach storm-resolving scales, they need to be able to produce realistic precipitation intensity, duration, and frequency
X. Huang +7 more
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