[HTML][HTML] The development of the NCEP global ensemble forecast system version 12

X Zhou, Y Zhu, D Hou, B Fu, W Li… - Weather and …, 2022 - journals.ametsoc.org
Abstract The Global Ensemble Forecast System (GEFS) is upgraded to version 12, in which
the legacy Global Spectral Model (GSM) is replaced by a model with a new dynamical core …

Climate sensitivity and relative humidity changes in global storm-resolving model simulations of climate change

TM Merlis, KY Cheng, I Guendelman, L Harris… - Science …, 2024 - science.org
The climate simulation frontier of a global storm-resolving model (GSRM; or k-scale model
because of its kilometer-scale horizontal resolution) is deployed for climate change …

Cloud microphysics in global cloud resolving models

T Seiki, W Roh, M Satoh - Atmosphere-Ocean, 2022 - Taylor & Francis
Global cloud resolving models (GCRMs) are a new type of general circulation model that
explicitly calculates the growth of cloud systems with fine spatial resolutions and more than …

Correcting coarse‐grid weather and climate models by machine learning from global storm‐resolving simulations

CS Bretherton, B Henn, A Kwa… - Journal of Advances …, 2022 - Wiley Online Library
Global atmospheric “storm‐resolving” models with horizontal grid spacing of less than 5 km
resolve deep cumulus convection and flow in complex terrain. They promise to be reference …

Correcting weather and climate models by machine learning nudged historical simulations

O Watt‐Meyer, ND Brenowitz, SK Clark… - Geophysical …, 2021 - Wiley Online Library
Due to limited resolution and inaccurate physical parameterizations, weather and climate
models consistently develop biases compared to the observed atmosphere. Using the …

Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learning

R Eusebi, GA Vecchi, CY Lai, M Tong - Communications Earth & …, 2024 - nature.com
Tropical cyclones are responsible for large-scale loss of life and property,,–, motivating
accurate risk assessment and forecasting. These objectives require accurate reconstructions …

Kilometer-scale global warming simulations and active sensors reveal changes in tropical deep convection

M Bolot, LM Harris, KY Cheng, TM Merlis… - npj Climate and …, 2023 - nature.com
Abstract Changes in tropical deep convection with global warming are a leading source of
uncertainty for future climate projections. A comparison of the responses of active sensor …

Correcting a 200 km resolution climate model in multiple climates by machine learning from 25 km resolution simulations

SK Clark, ND Brenowitz, B Henn, A Kwa… - Journal of Advances …, 2022 - Wiley Online Library
Abstract Bretherton et al.(2022, https://doi. org/10.1029/2021MS002794) demonstrated a
successful approach for using machine learning (ML) to help a coarse‐resolution global …

Impact of warmer sea surface temperature on the global pattern of intense convection: Insights from a global storm resolving model

KY Cheng, L Harris, C Bretherton… - Geophysical …, 2022 - Wiley Online Library
Intense convection (updrafts exceeding 10 ms− 1) plays an essential role in severe weather
and Earth's energy balance. Despite its importance, how the global pattern of intense …

The Precipitation Response to Warming and CO2 Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models

I Guendelman, TM Merlis, KY Cheng… - Geophysical …, 2024 - Wiley Online Library
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 …