Big Data in Earth system science and progress towards a digital twin

X Li, M Feng, Y Ran, Y Su, F Liu, C Huang… - Nature Reviews Earth & …, 2023 - nature.com
The concept of a digital twin of Earth envisages the convergence of Big Earth Data with
physics-based models in an interactive computational framework that enables monitoring …

Convection‐permitting modeling with regional climate models: Latest developments and next steps

P Lucas‐Picher, D Argüeso, E Brisson… - Wiley …, 2021 - Wiley Online Library
Approximately 10 years ago, convection‐permitting regional climate models (CPRCMs)
emerged as a promising computationally affordable tool to produce fine resolution (1–4 km) …

The digital revolution of Earth-system science

P Bauer, PD Dueben, T Hoefler, T Quintino… - Nature Computational …, 2021 - nature.com
Computational science is crucial for delivering reliable weather and climate predictions.
However, despite decades of high-performance computing experience, there is serious …

Ambitious partnership needed for reliable climate prediction

J Slingo, P Bates, P Bauer, S Belcher, T Palmer… - Nature Climate …, 2022 - nature.com
Current global climate models struggle to represent precipitation and related extreme
events, with serious implications for the physical evidence base to support climate actions. A …

Climate change impacts on wind power generation

SC Pryor, RJ Barthelmie, MS Bukovsky… - Nature Reviews Earth & …, 2020 - nature.com
Wind energy is a virtually carbon-free and pollution-free electricity source, with global wind
resources greatly exceeding electricity demand. Accordingly, the installed capacity of wind …

Confronting the challenge of modeling cloud and precipitation microphysics

H Morrison, M van Lier‐Walqui… - Journal of advances …, 2020 - Wiley Online Library
In the atmosphere, microphysics refers to the microscale processes that affect cloud and
precipitation particles and is a key linkage among the various components of Earth's …

Ocean mesoscale and frontal-scale ocean–atmosphere interactions and influence on large-scale climate: A review

H Seo, LW O'Neill, MA Bourassa, A Czaja… - Journal of …, 2023 - journals.ametsoc.org
Two decades of high-resolution satellite observations and climate modeling studies have
indicated strong ocean–atmosphere coupled feedback mediated by ocean mesoscale …

[HTML][HTML] Neural general circulation models for weather and climate

D Kochkov, J Yuval, I Langmore, P Norgaard, J Smith… - Nature, 2024 - nature.com
General circulation models (GCMs) are the foundation of weather and climate prediction 1,
2. GCMs are physics-based simulators that combine a numerical solver for large-scale …

Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions

J Yuval, PA O'Gorman - Nature communications, 2020 - nature.com
Global climate models represent small-scale processes such as convection using subgrid
models known as parameterizations, and these parameterizations contribute substantially to …

The future of Earth system prediction: Advances in model-data fusion

A Gettelman, AJ Geer, RM Forbes, GR Carmichael… - Science …, 2022 - science.org
Predictions of the Earth system, such as weather forecasts and climate projections, require
models informed by observations at many levels. Some methods for integrating models and …