Evaluation of a unique approach to high-resolution climate modeling 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...
Published in: | Geoscientific Model Development |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2019
|
Subjects: | |
Online Access: | https://doi.org/10.5194/gmd-12-3725-2019 https://doaj.org/article/339b8820bad64a25be69a0b2c082dd05 |
id |
ftdoajarticles:oai:doaj.org/article:339b8820bad64a25be69a0b2c082dd05 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:339b8820bad64a25be69a0b2c082dd05 2023-05-15T18:18:00+02:00 Evaluation of a unique approach to high-resolution climate modeling using the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1 A. C. Michaelis G. M. Lackmann W. A. Robinson 2019-08-01T00:00:00Z https://doi.org/10.5194/gmd-12-3725-2019 https://doaj.org/article/339b8820bad64a25be69a0b2c082dd05 EN eng Copernicus Publications https://www.geosci-model-dev.net/12/3725/2019/gmd-12-3725-2019.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-12-3725-2019 1991-959X 1991-9603 https://doaj.org/article/339b8820bad64a25be69a0b2c082dd05 Geoscientific Model Development, Vol 12, Pp 3725-3743 (2019) Geology QE1-996.5 article 2019 ftdoajarticles https://doi.org/10.5194/gmd-12-3725-2019 2022-12-31T15:55:53Z 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. The present-day simulations provide a reasonable reproduction of large-scale atmospheric features in the Northern Hemisphere such as the wintertime midlatitude storm tracks, upper-tropospheric jets, and maritime sea-level pressure features as well as annual precipitation patterns across the tropics. The simulations also adequately represent tropical cyclone (TC) characteristics such as strength, spatial distribution, and seasonal cycles for most Northern Hemisphere basins. These results demonstrate the applicability of these model simulations for future studies examining climate change effects on various Northern Hemisphere phenomena, and, more generally, the utility of MPAS-A for studying climate change at spatial scales generally unachievable in GCMs. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Geoscientific Model Development 12 8 3725 3743 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Geology QE1-996.5 |
spellingShingle |
Geology QE1-996.5 A. C. Michaelis G. M. Lackmann W. A. Robinson Evaluation of a unique approach to high-resolution climate modeling using the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1 |
topic_facet |
Geology QE1-996.5 |
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. The present-day simulations provide a reasonable reproduction of large-scale atmospheric features in the Northern Hemisphere such as the wintertime midlatitude storm tracks, upper-tropospheric jets, and maritime sea-level pressure features as well as annual precipitation patterns across the tropics. The simulations also adequately represent tropical cyclone (TC) characteristics such as strength, spatial distribution, and seasonal cycles for most Northern Hemisphere basins. These results demonstrate the applicability of these model simulations for future studies examining climate change effects on various Northern Hemisphere phenomena, and, more generally, the utility of MPAS-A for studying climate change at spatial scales generally unachievable in GCMs. |
format |
Article in Journal/Newspaper |
author |
A. C. Michaelis G. M. Lackmann W. A. Robinson |
author_facet |
A. C. Michaelis G. M. Lackmann W. A. Robinson |
author_sort |
A. C. Michaelis |
title |
Evaluation of a unique approach to high-resolution climate modeling using the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1 |
title_short |
Evaluation of a unique approach to high-resolution climate modeling using the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1 |
title_full |
Evaluation of a unique approach to high-resolution climate modeling using the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1 |
title_fullStr |
Evaluation of a unique approach to high-resolution climate modeling using the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1 |
title_full_unstemmed |
Evaluation of a unique approach to high-resolution climate modeling using the Model for Prediction Across Scales – Atmosphere (MPAS-A) version 5.1 |
title_sort |
evaluation of a unique approach to high-resolution climate modeling using the model for prediction across scales – atmosphere (mpas-a) version 5.1 |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/gmd-12-3725-2019 https://doaj.org/article/339b8820bad64a25be69a0b2c082dd05 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Geoscientific Model Development, Vol 12, Pp 3725-3743 (2019) |
op_relation |
https://www.geosci-model-dev.net/12/3725/2019/gmd-12-3725-2019.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-12-3725-2019 1991-959X 1991-9603 https://doaj.org/article/339b8820bad64a25be69a0b2c082dd05 |
op_doi |
https://doi.org/10.5194/gmd-12-3725-2019 |
container_title |
Geoscientific Model Development |
container_volume |
12 |
container_issue |
8 |
container_start_page |
3725 |
op_container_end_page |
3743 |
_version_ |
1766193850438647808 |