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[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 …
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
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 …
because of its kilometer-scale horizontal resolution) is deployed for climate change …
Cloud microphysics in global cloud resolving models
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 …
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
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 …
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
Due to limited resolution and inaccurate physical parameterizations, weather and climate
models consistently develop biases compared to the observed atmosphere. Using the …
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
Tropical cyclones are responsible for large-scale loss of life and property,,–, motivating
accurate risk assessment and forecasting. These objectives require accurate reconstructions …
accurate risk assessment and forecasting. These objectives require accurate reconstructions …
Kilometer-scale global warming simulations and active sensors reveal changes in tropical deep convection
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 …
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
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 …
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
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 …
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
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 …
are now being integrated for climate timescales. GSRMs are able to simulate more realistic …