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Seminar: Introducing NEDAS: a Light-weight and Scalable Python Solution for Ensemble Data Assimilation

Tue, Apr 30 2024, 1 - 2pm

CISL Work In Progress (WIP) Seminar - April 2024

Tue, Apr 9 2024, 1 - 2pm

Virtual

In fiscal year 2023, CISL achieved many key landmarks, including the smooth launch of the long-awaited Derecho supercomputing system. CISL also made important strides in HPC and data science, showcasing its continued sector-wide leadership. Finally, following an international search, CISL ended FY23 with Thomas Hauser named as CISL Director.

Advancing Earth System Science through Research Computing and Data Services at the NSF NCAR

Thu, May 2 2024, 10am

Virtual

SIParCS 2020 - Shiqi Sheng

NSF NCAR researcher awarded large resource grant in national AI initiative

May 8, 2024

SIParCS 2020 - Shivani Singh

Advantages of Assimilating Multispectral Satellite Retrievals of Atmospheric Composition: A Demonstration Using MOPITT Carbon...

External URL

https://amt.copernicus.org/articles/17/1941/2024/

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Atmospheric Measurement Techniques

By Wenfu Tang, Benjamin Gaubert, Louisa Emmons, et al.

Identifying and Categorizing Bias in AI/ML for Earth Sciences

External URL

https://journals.ametsoc.org/view/journals/bams/105/3/BAMS-D-23-0196.1.xml

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By Amy McGovern, Ann Bostrom, Marie McGraw, et al.

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This material is based upon work supported by the NSF National Center for Atmospheric Research, a major facility sponsored by the U.S. National Science Foundation and managed by the University Corporation for Atmospheric Research. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.