[HTML][HTML] Probabilistic weather forecasting with machine learning
Weather forecasts are fundamentally uncertain, so predicting the range of probable weather
scenarios is crucial for important decisions, from warning the public about hazardous …
scenarios is crucial for important decisions, from warning the public about hazardous …
A review of recent and emerging machine learning applications for climate variability and weather phenomena
Climate variability and weather phenomena can cause extremes and pose significant risk to
society and ecosystems, making continued advances in our physical understanding of such …
society and ecosystems, making continued advances in our physical understanding of such …
An unprecedented set of high‐resolution earth system simulations for understanding multiscale interactions in climate variability and change
P Chang, S Zhang, G Danabasoglu… - Journal of Advances …, 2020 - Wiley Online Library
We present an unprecedented set of high‐resolution climate simulations, consisting of a 500‐
year pre‐industrial control simulation and a 250‐year historical and future climate simulation …
year pre‐industrial control simulation and a 250‐year historical and future climate simulation …
[HTML][HTML] Impact of model resolution on tropical cyclone simulation using the HighResMIP–PRIMAVERA multimodel ensemble
Impact of Model Resolution on Tropical Cyclone Simulation Using the HighResMIP–PRIMAVERA
Multimodel Ensemble in: Journal of Climate Volume 33 Issue 7 (2020) Jump to Content …
Multimodel Ensemble in: Journal of Climate Volume 33 Issue 7 (2020) Jump to Content …
Projected future changes in tropical cyclones using the CMIP6 HighResMIP multimodel ensemble
Future changes in tropical cyclone properties are an important component of climate change
impacts and risk for many tropical and midlatitude countries. In this study we assess the …
impacts and risk for many tropical and midlatitude countries. In this study we assess the …
[HTML][HTML] TempestExtremes v2. 1: A community framework for feature detection, tracking, and analysis in large datasets
TempestExtremes (TE) is a multifaceted framework for feature detection, tracking, and
scientific analysis of regional or global Earth system datasets on either rectilinear or …
scientific analysis of regional or global Earth system datasets on either rectilinear or …
The DOE E3SM coupled model version 1: Description and results at high resolution
This study provides an overview of the coupled high‐resolution Version 1 of the Energy
Exascale Earth System Model (E3SMv1) and documents the characteristics of a 50‐year …
Exascale Earth System Model (E3SMv1) and documents the characteristics of a 50‐year …
The shifting scales of western US landfalling atmospheric rivers under climate change
Atmospheric rivers (ARs) can be a boon and bane to water resource managers as they have
the ability to replenish water reserves, but they can also generate million‐to‐billion‐dollar …
the ability to replenish water reserves, but they can also generate million‐to‐billion‐dollar …
Enhanced Atlantic Meridional Mode predictability in a high-resolution prediction system
Accurate prediction of sea surface temperatures (SSTs) in the tropical North Atlantic on
multiyear timescales is of paramount importance due to its notable impact on tropical …
multiyear timescales is of paramount importance due to its notable impact on tropical …
[HTML][HTML] Increased amplitude of atmospheric rivers and associated extreme precipitation in ultra-high-resolution greenhouse warming simulations
Atmospheric rivers play an integral role in the global water cycle, but predicting their future
changes remains uncertain due to inter-model and inter-detection-method differences …
changes remains uncertain due to inter-model and inter-detection-method differences …