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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ftzenodo:oai:zenodo.org:6930687 2024-09-15T18:35:19+00:00 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 2022-10-17 https://doi.org/10.5061/dryad.8cz8w9gtp unknown Zenodo https://doi.org/10.5194/gmd-12-3725-2019 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.8cz8w9gtp oai:zenodo.org:6930687 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode weather modeling global climate models climate change High resolution Northern hemisphere info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5061/dryad.8cz8w9gtp10.5194/gmd-12-3725-2019 2024-07-26T19:31:52Z 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 6-hourly warm season (May-September) 2-meter temperature, precipitation, and 500hPa height is presented. If you wish to access the full dataset (as presented in Michaelis et al. 2019), please contact one of the authors. The files included are in NetCDF4 format so the program or programming language used needs to be capable of processing it. Python and MATLAB are both good options. Funding provided by: National Science Foundation Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001 Award Number: AGS-1560844 Funding provided by: National Science Foundation Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001 Award Number: AGS-1546743 Other/Unknown Material Sea ice Zenodo |
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weather modeling global climate models climate change High resolution Northern hemisphere |
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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 |
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 6-hourly warm season (May-September) 2-meter temperature, precipitation, and 500hPa height is presented. If you wish to access the full dataset (as presented in Michaelis et al. 2019), please contact one of the authors. The files included are in NetCDF4 format so the program or programming language used needs to be capable of processing it. Python and MATLAB are both good options. Funding provided by: National Science Foundation Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001 Award Number: AGS-1560844 Funding provided by: National Science Foundation Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001 Award Number: AGS-1546743 |
format |
Other/Unknown Material |
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 |
Zenodo |
publishDate |
2022 |
url |
https://doi.org/10.5061/dryad.8cz8w9gtp |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://doi.org/10.5194/gmd-12-3725-2019 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.8cz8w9gtp oai:zenodo.org:6930687 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.8cz8w9gtp10.5194/gmd-12-3725-2019 |
_version_ |
1810478402836103168 |