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Big Earth Data Volume 6, 2022 - Issue 3: Global Reference Grids for Big Earth Data
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Research Article

EASE-DGGS: a hybrid discrete global grid system for Earth sciences

Jeffery A. Thompsona Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, USA;b GEMS Informatics Initiative, University of Minnesota, Minneapolis, MN, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-8438-4424View further author information
ORCID Icon,
Mary J. Brodzikc National Snow and Ice Data Center, Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USAView further author information
,
Kevin A. T. Silversteina Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, USA;b GEMS Informatics Initiative, University of Minnesota, Minneapolis, MN, USAView further author information
,
Mason A. Hurleyb GEMS Informatics Initiative, University of Minnesota, Minneapolis, MN, USAView further author information
&
Nathan L. Carlsona Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, USAView further author information
Pages 340-357 | Received 01 Jul 2021, Accepted 18 Nov 2021, Published online: 01 Feb 2022

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