Energy Exascale Earth System Model v1.1 ...
First release of E3SM v1.1 This release includes scientifically-validated tunings of the E3SM Land Model (ELM) and E3SM Atmosphere Model (EAM) for coupled simulations with active land, ocean, and sea ice biogeochemistry, for ELM configurations using the CTC approach to representing nutrient competit...
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Online Access: | https://dx.doi.org/10.11578/e3sm/dc.20200825.11 https://www.osti.gov/doecode/biblio/42003 |
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ftdatacite:10.11578/e3sm/dc.20200825.11 2023-08-27T04:11:54+02:00 Energy Exascale Earth System Model v1.1 ... E3SM Project, DOE 2018 https://dx.doi.org/10.11578/e3sm/dc.20200825.11 https://www.osti.gov/doecode/biblio/42003 en eng Not Available https://dx.doi.org/10.11578/e3sm/dc.20180418.36 Software SoftwareSourceCode Energy Exascale Earth System Model v1.1 article 2018 ftdatacite https://doi.org/10.11578/e3sm/dc.20200825.1110.11578/e3sm/dc.20180418.36 2023-08-07T14:24:23Z First release of E3SM v1.1 This release includes scientifically-validated tunings of the E3SM Land Model (ELM) and E3SM Atmosphere Model (EAM) for coupled simulations with active land, ocean, and sea ice biogeochemistry, for ELM configurations using the CTC approach to representing nutrient competition. Additional diagnostic variables have been made available as history variables from the ELM, and from the MPAS-Ocean and MPAS-Seaice biogeochemistry modules, in order to improve consistency with the output variable requests of the Coupled Climate Carbon Cycle Model Intercomparison Project (C4MIP), and to support improved analysis of the land, ocean, and sea ice carbon cycles. The atmosphere models prognostic CO2 code has been updated to enable regridding of anthropogenic CO2 emission files to the E3SMs native spectral element grid. Note that (1) the prognostic CO2 configuration of E3SM has not been scientifically validated, and (2) the regridding of emission files as currently implemented is not ... Article in Journal/Newspaper Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
description |
First release of E3SM v1.1 This release includes scientifically-validated tunings of the E3SM Land Model (ELM) and E3SM Atmosphere Model (EAM) for coupled simulations with active land, ocean, and sea ice biogeochemistry, for ELM configurations using the CTC approach to representing nutrient competition. Additional diagnostic variables have been made available as history variables from the ELM, and from the MPAS-Ocean and MPAS-Seaice biogeochemistry modules, in order to improve consistency with the output variable requests of the Coupled Climate Carbon Cycle Model Intercomparison Project (C4MIP), and to support improved analysis of the land, ocean, and sea ice carbon cycles. The atmosphere models prognostic CO2 code has been updated to enable regridding of anthropogenic CO2 emission files to the E3SMs native spectral element grid. Note that (1) the prognostic CO2 configuration of E3SM has not been scientifically validated, and (2) the regridding of emission files as currently implemented is not ... |
format |
Article in Journal/Newspaper |
author |
E3SM Project, DOE |
spellingShingle |
E3SM Project, DOE Energy Exascale Earth System Model v1.1 ... |
author_facet |
E3SM Project, DOE |
author_sort |
E3SM Project, DOE |
title |
Energy Exascale Earth System Model v1.1 ... |
title_short |
Energy Exascale Earth System Model v1.1 ... |
title_full |
Energy Exascale Earth System Model v1.1 ... |
title_fullStr |
Energy Exascale Earth System Model v1.1 ... |
title_full_unstemmed |
Energy Exascale Earth System Model v1.1 ... |
title_sort |
energy exascale earth system model v1.1 ... |
publisher |
Not Available |
publishDate |
2018 |
url |
https://dx.doi.org/10.11578/e3sm/dc.20200825.11 https://www.osti.gov/doecode/biblio/42003 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://dx.doi.org/10.11578/e3sm/dc.20180418.36 |
op_doi |
https://doi.org/10.11578/e3sm/dc.20200825.1110.11578/e3sm/dc.20180418.36 |
_version_ |
1775355559169490944 |