High-resolution climate simulations using the Model for Prediction Across Scales - Atmosphere (MPAS-A; version 5.1) ...
We present multi-seasonal simulations representative of present-day and future environments using the global Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1 with high resolution (15 km) throughout the Northern Hemisphere. We select 10 simulation years with varying phases of El N...
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Online Access: | https://dx.doi.org/10.5061/dryad.8cz8w9gtp https://datadryad.org/stash/dataset/doi:10.5061/dryad.8cz8w9gtp |
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ftdatacite:10.5061/dryad.8cz8w9gtp 2024-02-04T10:04:25+01:00 High-resolution climate simulations using the Model for Prediction Across Scales - Atmosphere (MPAS-A; version 5.1) ... Michaelis, Allison Turnau, Roger Lackmann, Gary Robinson, Walter 2022 https://dx.doi.org/10.5061/dryad.8cz8w9gtp https://datadryad.org/stash/dataset/doi:10.5061/dryad.8cz8w9gtp en eng Dryad https://dx.doi.org/10.5194/gmd-12-3725-2019 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS Earth and related environmental sciences weather modeling global climate models Climate change High resolution Northern Hemisphere Dataset dataset 2022 ftdatacite https://doi.org/10.5061/dryad.8cz8w9gtp10.5194/gmd-12-3725-2019 2024-01-05T04:39:59Z We present multi-seasonal simulations representative of present-day and future environments using the global Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1 with high resolution (15 km) throughout the Northern Hemisphere. We select 10 simulation years with varying phases of El Niño–Southern Oscillation (ENSO) and integrate each for 14.5 months. We use analyzed sea surface temperature (SST) patterns for present-day simulations. For the future climate simulations, we alter present-day SSTs by applying monthly-averaged temperature changes derived from a 20-member ensemble of Coupled Model Intercomparison Project phase 5 (CMIP5) general circulation models (GCMs) following the Representative Concentration Pathway (RCP) 8.5 emissions scenario. Daily sea ice fields, obtained from the monthly-averaged CMIP5 ensemble mean sea ice, are used for present-day and future simulations. Due to storage limitations, the full dataset is much too large to be published (~50TB). Instead, a subset consisting of ... : See Michaelis et al. 2019 for details on the creation of this dataset. ... Dataset 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 |
topic |
FOS Earth and related environmental sciences weather modeling global climate models Climate change High resolution Northern Hemisphere |
spellingShingle |
FOS Earth and related environmental sciences weather modeling global climate models Climate change High resolution Northern Hemisphere Michaelis, Allison Turnau, Roger Lackmann, Gary Robinson, Walter High-resolution climate simulations using the Model for Prediction Across Scales - Atmosphere (MPAS-A; version 5.1) ... |
topic_facet |
FOS Earth and related environmental sciences weather modeling global climate models Climate change High resolution Northern Hemisphere |
description |
We present multi-seasonal simulations representative of present-day and future environments using the global Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1 with high resolution (15 km) throughout the Northern Hemisphere. We select 10 simulation years with varying phases of El Niño–Southern Oscillation (ENSO) and integrate each for 14.5 months. We use analyzed sea surface temperature (SST) patterns for present-day simulations. For the future climate simulations, we alter present-day SSTs by applying monthly-averaged temperature changes derived from a 20-member ensemble of Coupled Model Intercomparison Project phase 5 (CMIP5) general circulation models (GCMs) following the Representative Concentration Pathway (RCP) 8.5 emissions scenario. Daily sea ice fields, obtained from the monthly-averaged CMIP5 ensemble mean sea ice, are used for present-day and future simulations. Due to storage limitations, the full dataset is much too large to be published (~50TB). Instead, a subset consisting of ... : See Michaelis et al. 2019 for details on the creation of this dataset. ... |
format |
Dataset |
author |
Michaelis, Allison Turnau, Roger Lackmann, Gary Robinson, Walter |
author_facet |
Michaelis, Allison Turnau, Roger Lackmann, Gary Robinson, Walter |
author_sort |
Michaelis, Allison |
title |
High-resolution climate simulations using the Model for Prediction Across Scales - Atmosphere (MPAS-A; version 5.1) ... |
title_short |
High-resolution climate simulations using the Model for Prediction Across Scales - Atmosphere (MPAS-A; version 5.1) ... |
title_full |
High-resolution climate simulations using the Model for Prediction Across Scales - Atmosphere (MPAS-A; version 5.1) ... |
title_fullStr |
High-resolution climate simulations using the Model for Prediction Across Scales - Atmosphere (MPAS-A; version 5.1) ... |
title_full_unstemmed |
High-resolution climate simulations using the Model for Prediction Across Scales - Atmosphere (MPAS-A; version 5.1) ... |
title_sort |
high-resolution climate simulations using the model for prediction across scales - atmosphere (mpas-a; version 5.1) ... |
publisher |
Dryad |
publishDate |
2022 |
url |
https://dx.doi.org/10.5061/dryad.8cz8w9gtp https://datadryad.org/stash/dataset/doi:10.5061/dryad.8cz8w9gtp |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://dx.doi.org/10.5194/gmd-12-3725-2019 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.8cz8w9gtp10.5194/gmd-12-3725-2019 |
_version_ |
1789972886593732608 |