Destination Earth: High-Performance Computing for Weather and Climate

Article Meteorology & Atmospheric Sciences

The July 2019 European Heat Wave in a Warmer Climate: Storyline Scenarios with a Coupled Model Using Spectral Nudging

Antonio Sanchez-Benitez et al.

Summary: By coupling a climate model and employing the storyline approach, we successfully simulated the European heat wave event and predicted that peak temperatures in Central Europe could reach 50 degrees Celsius in the coming decades.

JOURNAL OF CLIMATE (2022)

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Editorial Material Environmental Sciences

Ambitious partnership needed for reliable climate prediction

Julia Slingo et al.

Summary: Global climate models currently have difficulty accurately predicting precipitation and extreme events, which has significant implications for supporting climate actions. Overcoming this limitation would require collaboration on an unprecedented scale and the development of kilometer-scale models.

NATURE CLIMATE CHANGE (2022)

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Article Multidisciplinary Sciences

Learning earth system models from observations: machine learning or data assimilation?

A. J. Geer

Summary: Recent progress in machine learning has inspired the idea of directly improving earth system models from observations, with data assimilation and machine learning sharing many similarities that can be unified under a Bayesian framework. Bayesian networks provide a practical framework for integrating data assimilation and machine learning to improve physical models of earth system processes.

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2021)

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Article Environmental Sciences

A digital twin of Earth for the green transition

Peter Bauer et al.

Summary: The EU plans to fund the development of digital twins of Earth to support its green transition. By using a methodological framework, they aim to create a new Earth system simulation and observation capability.

NATURE CLIMATE CHANGE (2021)

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Article Computer Science, Interdisciplinary Applications

Scaling digital twins from the artisanal to the industrial

Steven A. Niederer et al.

Summary: Mathematical modeling and simulation are transitioning from development and analysis tools to operational monitoring, control, and decision support, utilizing digital twins that are currently difficult to scale. Challenges and opportunities for scaling digital twins are discussed, along with potential barriers to wider adoption of this technology.

NATURE COMPUTATIONAL SCIENCE (2021)

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Article Meteorology & Atmospheric Sciences