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Journal of Advances in Modeling Earth Systems (JAMES)

Bar graphs from the paper
Posted inEditors' Highlights

Unleashing the Power of AutoML for Atmospheric Research

by Jiwen Fan 16 March 202315 March 2023

Automated Machine Learning liberates domain scientists from selecting learners and hyperparameters and discovers the importance of atmospheric trace gases for improving surface PM2.5 estimates.

Global map showing upper-level atmospheric winds
Posted inEditors' Highlights

Better Resolution Might Unlock the Mystery of Storms

by Bjorn Stevens 13 March 202313 March 2023

Climate models have many persistent and systematic biases, but a new study shows that allowing for a physical rather than statistical representation of energy transport reduces one of them.

Schematic diagram showing the workflow presented in the paper.
Posted inEditors' Highlights

A New Approach to Spinning-Up Passive Tracers in Ocean Models

by Matthew Long 9 March 202317 March 2023

A new computational method enables finding steady-state distributions of tracers in ocean circulation models, opening opportunities for physical and biogeochemical insight.

Schematic representation of the model setup developed in this paper
Posted inEditors' Highlights

Examining Aerosol-Cloud-Climate Interactions at a Large Scale

by Jiwen Fan 7 March 202316 March 2023

A new numerical setup demonstrates that aerosols could affect clouds, and hence the radiation budget, thousands of kilometers from their location.

3 simulations presented in the paper.
Posted inEditors' Highlights

Interactive Learning for Better AI-Based Subgrid-Scale Modeling

by Pedram Hassanzadeh and Stephen M. Griffies 18 January 202318 January 2023

A study shows that interactive learning can significantly enhance the performance of artificial intelligence-based parameterization of small-scale processes, a critical component of climate models.

A forest scene depicts the base of several hemlock trees with their roots exposed.
Posted inResearch Spotlights

To Estimate Plant Water Use, Consider the Xylem

by Sarah Derouin 13 January 202331 January 2023

New research shows that chemical isotopes from plant xylem can improve representations of the forest water cycle.

Two maps using color to show sea level and resulting self-attraction and loading field.
Posted inEditors' Highlights

Accurate Ocean Tides for Earth System Models

by Stephen M. Griffies 1 December 202216 February 2023

Accurate tide models require self-attraction and loading terms, but can this calculation be done accurately and efficiently for use in global tide and Earth system models?

Figure 1 from the paper, showing a schematic of key processes controlling coastal carbon dynamics.
Posted inEditors' Highlights

Substantial Advance Towards a Global Coastal Carbon Model

by Andreas Oschlies 27 September 202220 October 2022

First simulations of a new biogeochemistry-circulation coastal grid refinement demonstrate seamless inclusion of small-scale coastal processes in a state-of-the-art Earth system model.

Figure 6 from the paper, showing equations and three maps.
Posted inEditors' Highlights

Consistently Closing the Energy Budget in Earth System Models

by John Thuburn 19 September 202223 January 2023

Researchers review the challenges and prospects of Earth System Models that incorporate a consistent closed energy budget.

Diagram showing the global mean full-cycle methane budget.
Posted inEditors' Highlights

A Significant Advancement in Modeling the Global Methane Cycle

by Jiwen Fan 8 September 202213 March 2023

The capability to fully model the global methane cycle advances the international climate science community’s ability of providing essential evidence to underpin climate mitigation policy.

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Features from AGU Journals

RESEARCH SPOTLIGHTS
Earth’s Future
“How to Build a Climate-Resilient Water Supply”
By Rachel Fritts

EDITORS' HIGHLIGHTS
AGU Advances
“How Do Atmospheric Rivers Respond to Extratropical Variability?”
By Sarah Kang

EDITORS' VOX
Reviews of Geophysics
“Rare and Revealing: Radiocarbon in Service of Paleoceanography”
By Luke C. Skinner and Edouard Bard

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