The Climate Model Output Rewriter (CMOR)

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Publication Details

Journal
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Published
2026-09-22
DOI
https://doi.org/10.5281/zenodo.592733
Citations
3
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
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article

The Climate Model Output Rewriter (CMOR)

Paul James Durack, D. Nadeau, Charles M. Doutriaux, Karl E. Taylor et al.
3 citations
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Climate variability and models
article

The Climate Model Output Rewriter (CMOR)

Paul James Durack, D. Nadeau, Charles M. Doutriaux, Karl E. Taylor, Karl E. Taylor
article en
3 citations

Abstract

Features User input files can now override the source, experiment, and institution global-attribute values when those attributes are not required by the controlled vocabulary. (#988, #995) Added CMIP7 site dimension examples for Python, Fortran, and C, including their generated NetCDF headers and run-script support. (#997, #1000) Bugfixes Corrected the ordering of projected-grid coordinates in the complex-grid example and CRS tests from [x, y] to [y, x]. (#996, #998) Changes Updated the CMIP7 tables submodule and associated tests. Issues / Pull Requests Handling of optional global attributes (#988) Allow user-defined values for source, experiment, and institution (#995) dimension order in example 6 (#996) Reverse the order of the projection coordinates of grids from [x, y] to [y, x] (#998) Additional CMOR example (for "site" data) (#997) Add examples that use the site dimension (#1000) GitHub

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Intersil (United States) (US), Agencia Estatal de Meteorología (ES), Lawrence Livermore National Laboratory (US), Met Office (GB), Universidad de Cantabria (ES), Japan Agency for Marine-Earth Science and Technology (JP), German Climate Computing Centre (DE), Culture Resource (EG), Climate Resource (Australia), Program for Climate Model Diagnosis and Intercomparison (US)
Climate action
Openalex Percentile: Top 100%
Climate variability and models
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