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Atmospheric Rivers: Changes in Arctic Sea Ice

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Milena VenezianiAuthors Info & Claims

PEARC '23: Practice and Experience in Advanced Research Computing 2023: Computing for the Common Good

Pages 426 - 428

https://doi.org/10.1145/3569951.3603642

Published: 10 September 2023 Publication History

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Abstract

Climate modeling is a critical resource that helps scientists understand the processes and ramifications of global climate change. At the Los Alamos National Laboratory, The High-Latitude Application and Testing of Earth System Models (HiLAT) Science Focus Area, in collaboration with the Regional Arctic Systems Model (RASM) use a specialized configuration of the DOE’s Energy Exascale Earth System Model (E3SM) to study the changing Arctic environment. Here we describe the collaborative effort to visualize the interactions between the ocean, sea ice, Arctic cyclones and atmospheric rivers.

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Climate modeling is a critical resource that helps scientists understand the processes and ramifications of global climate change. At the Los Alamos National Laboratory, The High-Latitude Application and Testing of Earth System Models (HiLAT) Science Focus Area use a specialized configuration of the DOE?s Energy Exascale Earth System Model (E3SM) to study the changing Arctic environment. Here we describe the collaborative effort to couple the three models into one visualization revealing the interactions between the ocean, sea ice, Arctic cyclones and atmospheric rivers.

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References

[1]

M. Rantanen, A. Y. Karpechko, A. Lipponen, K. Nordling, O. Hyvärinen, K. Ruosteenoja, T. Vihma, and A. Laaksonen. 2022. The Arctic has warmed nearly four times faster than the globe since 1979. Communications Earth & Environment 3, 1 (2022), 168.

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[2]

M. Veneziani, W. Maslowski, Y. J. Lee, G. D’Angelo, R. Osinski, M. R. Petersen, W. Weijer, 2022. An evaluation of the E3SMv1 Arctic ocean and sea-ice regionally refined model. Geoscientific Model Development 15, 7 (2022), 3133–3160. https://doi.org/10.5194/gmd-15-3133-2022

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[3]

P. Zhang, G. Chen, and M. Ting. 2023. More frequent atmospheric rivers slow the seasonal recovery of Arctic sea ice. (2023), 266–273. https://doi.org/10.1038/s41558-023-01599-3

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Index Terms

Atmospheric Rivers: Changes in Arctic Sea Ice
1. Applied computing
  1. Physical sciences and engineering
    1. Earth and atmospheric sciences
      1. Environmental sciences
2. Computing methodologies
  1. Modeling and simulation
    1. Simulation types and techniques
      1. Scientific visualization

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Information

Published In

PEARC '23: Practice and Experience in Advanced Research Computing 2023: Computing for the Common Good

July 2023

519 pages

ISBN:9781450399852

DOI:10.1145/3569951

Editors:
Robert Sinkovits
San Diego Supercomputer Center
,
Alana Romanella
University of Colorado Boulder
,
Shelley Knuth
University of Colorado Boulder
,
Ken Hackworth
Pittsburgh Supercomputing Center
,
Jeff Pummill
University of Arkansas

This work is licensed under a Creative Commons Attribution-NoDerivatives International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 September 2023

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Short-paper
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Refereed limited

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PEARC '23

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PEARC '23: Practice and Experience in Advanced Research Computing

July 23 - 27, 2023

OR, Portland, USA

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Overall Acceptance Rate 133 of 202 submissions, 66%

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