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ZENODO
Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Other ORP type . 2024
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2024
License: CC BY
Data sources: Datacite
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NSF Science and Technology Center (STC) Learning the Earth with Artificial Intelligence and Physics (LEAP) Operations Manual (V.3, March 2024))

appsOther research productkeyboard_double_arrow_right Other ORP type , Other literature type 31 Mar 2024Publisher:Zenodo
Authors: Gentine, Pierre; McKinley, Galen; Zheng, Tian; Cogburn, Courtney; Zanna, Laure; Vondrick, Carl; Burbano, Vanessa; +2 Authors

doi: 10.5281/zenodo.7470615 , 10.5281/zenodo.11147583

NSF Science and Technology Center (STC) Learning the Earth with Artificial Intelligence and Physics (LEAP) Operations Manual (V.3, March 2024))

Abstract

The purpose of LEAP's Operations Manual is to document key procedures to ensure that all LEAPmembers understand the underlying basis for leadership and decision-making. The OperationsManual empowers LEAP’s leadership team and staff to make decisions that are within their areasof responsibility, to streamline and standardize operations, promote transparency, and buildteamwork. Finally, the Operations Manual will also serve as a resource for human resources,including hiring procedures, succession planning, and performance evaluation, and be arepository for key contacts. This manual is complemented by two additional documents: LEAP's Bylaws and LEAP's Code of Conduct. LEAP's Operations Manual will be updated and versioned on a periodic basis. The current version is V3, dated March 2024.

Keywords

machine learning, climate change, climate science, data science

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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