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CI 2022 : 11th International Conference on Climate Informatics


When May 9, 2022 - May 13, 2022
Where Asheville, North Carolina, USA
Submission Deadline Jan 28, 2022
Notification Due Mar 11, 2022
Final Version Due May 8, 2022
Categories    data science   climate informatics   drought prediction   oceanography

Call For Papers

The North Carolina Institute for Climate Studies is pleased to announce the 11th International Conference on Climate Informatics, which will be hosted at The Collider in Asheville, North Carolina, in May 2022. The conference is supported by NOAA’s National Centers for Environmental Information and The Collider.

The Climate Informatics conference series aims to bring together researchers and users across different disciplines and sectors to forge international collaboration between climate science, data science, and computer science, share state-of-art developments in climate data and informatics, and accelerate the rate of discovery in climate science and adaptation of climate applications.

The subject matter should be selected with Climate Informatics in mind: either presenting algorithms that could have potential applications in geosciences or datasets and physical problems that pose a specific problem in geosciences are both welcome, but ideally should combine machine/deep learning and advanced statistics with a geophysical issue.

This year’s conference offers two tracks for submissions:

a) Full paper submission

The accepted full paper will be considered to be included in an open-access, peer-reviewed special collection on the journal Environmental Data Science tied to the conference.

The paper should be no longer than 8 pages, including references, using the templates provided by Environmental Data Science (for more information, see the journal’s instructions for authors).

Download LaTeX template files from
Download a Word template from

b) Extended abstract submission

No template is provided and no particular formatting is required, but extended abstract should contain sufficient information for the reviewer to determine the quality of the work, including data and methods used as well as a summary of results. The extended abstract should be no longer than 2 pages, including the most relevant references or figures (not required). You can present preliminary results.

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