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Journal of Advances in Modeling Earth Systems, 2023 One approach to improving the accuracy of a coarse‐grid global climate model is to add machine‐learned (ML) state‐dependent corrections to the prognosed model tendencies, such that the climate model evolves more like a reference fine‐grid global storm ...
Anna Kwa +8 more
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Muted Amazon Rainfall Response to Deforestation in a Global Storm‐Resolving Model
Geophysical Research LettersOngoing Amazon deforestation has raised concerns about forest dieback via induced precipitation changes. Previous studies have found that complete deforestation reduces evapotranspiration, contributing to low precipitation rates that would limit the ...
Arim Yoon, Cathy Hohenegger
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Correcting Coarse‐Grid Weather and Climate Models by Machine Learning From Global Storm‐Resolving Simulations [PDF]
Journal of Advances in Modeling Earth Systems, 2022 Global atmospheric “storm‐resolving” models with horizontal grid spacing of less than 5 km resolve deep cumulus convection and flow in complex terrain.
Christopher S. Bretherton +8 more
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Geophysical Research LettersCirrus dominate the longwave radiative budget of the tropics. For the first time, the variability in cirrus properties and longwave cloud radiative effects (CREs) that arises from using different microphysical schemes within nudged global storm‐resolving
R. L. Atlas +4 more
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Tropical Cyclones in Global Storm-Resolving Models [PDF]
Journal of the Meteorological Society of Japan, 2021 Recent progress in computing and model development has initiated the era of global storm-resolving modeling and with it the potential to transform weather and climate prediction. Within the general theme of vetting this new class of models, the present study evaluates nine global-storm resolving models in their ability to simulate tropical cyclones ...
Falko Judt +2 more
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Tropical Cirrus in Global Storm‐Resolving Models: 1. Role of Deep Convection [PDF]
Earth and Space Science, 2022 Pervasive cirrus clouds in the upper troposphere and tropical tropopause layer (TTL) influence the climate by altering the top‐of‐atmosphere radiation balance and stratospheric water vapor budget.
J. M. Nugent +4 more
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Earth's FutureMesoscale 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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The Fractal Nature of Clouds in Global Storm‐Resolving Models [PDF]
Geophysical Research Letters, 2021 AbstractClouds in observations are fractals: they show self‐similarity across scales ranging from 1 to 1,000 km. This includes individual storms and large‐scale cloud structures typical of organized convection. It is not known whether global storm‐resolving models reproduce the observed fractal scaling laws for clouds and organized convection.
Hannah Christensen, Oliver Driver
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Impact of Microphysics on Tropical Precipitation Extremes in a Global Storm‐Resolving Model [PDF]
Geophysical Research Letters, 2021 AbstractThe impact of microphysics on tropical precipitation extremes is explored with a global storm‐resolving model by modifying the terminal velocity of raindrops. Depending on the time scales, precipitation extremes respond differently. Hourly extremes are influenced dynamically through the microphysical modulation on the convective updraft speed ...
Jiawei Bao, Julia M Windmiller
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Geophysical Research Letters, 2022 AbstractDaily and sub‐daily precipitation statistics are investigated from three global model ensembles: (a) global storm‐resolving models (GSRMs) with typical horizontal resolutions of ∼4 km, (b) “high”‐resolution global models with typical resolutions of ∼50 km and (c) “standard”‐resolution global models with typical resolutions of ∼100 km.
Hsi-Yen, Stephen A Klein, Jiwoo Lee
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