A Global/Regional Integrated Model System‐Chemistry Climate Model: 1. Simulation Characteristics
Abstract This study describes the simulation characteristics of a newly developed Global/Regional Integrated Model system‐Chemistry Climate Model (GRIMs‐CCM), which is listed in Chemistry Climate Model Initiative as a participating model. The GRIMs‐CCM was run using a standard set of forcings, and h...
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ftdoajarticles:oai:doaj.org/article:6796c48c276849dfaad17f79f7f1adce 2023-05-15T13:44:49+02:00 A Global/Regional Integrated Model System‐Chemistry Climate Model: 1. Simulation Characteristics Yong‐Cheol Jeong Sang‐Wook Yeh Seungun Lee Rokjin J. Park 2019-10-01T00:00:00Z https://doi.org/10.1029/2019EA000727 https://doaj.org/article/6796c48c276849dfaad17f79f7f1adce EN eng American Geophysical Union (AGU) https://doi.org/10.1029/2019EA000727 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2019EA000727 https://doaj.org/article/6796c48c276849dfaad17f79f7f1adce Earth and Space Science, Vol 6, Iss 10, Pp 2016-2030 (2019) GRIMS‐CCM Simulation Regional biases Astronomy QB1-991 Geology QE1-996.5 article 2019 ftdoajarticles https://doi.org/10.1029/2019EA000727 2022-12-31T15:31:45Z Abstract This study describes the simulation characteristics of a newly developed Global/Regional Integrated Model system‐Chemistry Climate Model (GRIMs‐CCM), which is listed in Chemistry Climate Model Initiative as a participating model. The GRIMs‐CCM was run using a standard set of forcings, and historical sea surface temperatures and sea ice concentration from the Hadley Centre were prescribed. The simulation results of GRIMs‐CCM were compared to the National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis data set 1. The GRIMs‐CCM satisfactorily simulated the climatological (1960–2010) atmospheric features and atmospheric teleconnections resulting from tropical sea surface temperature forcing. However, the GRIMs‐CCM also had some regional biases; for instance, particularly, the temperature bias over the Antarctic was noticeable. We further analyzed physical processes that caused such biases and the influence of coupled chemistry‐climate processes in the GRIMs‐CCM, which may provide further guidance to improve an earlier version of the GRIMs‐CCM and other climate‐chemistry models participating in the Chemistry Climate Model Initiative. Article in Journal/Newspaper Antarc* Antarctic Sea ice Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic Earth and Space Science 6 10 2016 2030 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
GRIMS‐CCM Simulation Regional biases Astronomy QB1-991 Geology QE1-996.5 |
spellingShingle |
GRIMS‐CCM Simulation Regional biases Astronomy QB1-991 Geology QE1-996.5 Yong‐Cheol Jeong Sang‐Wook Yeh Seungun Lee Rokjin J. Park A Global/Regional Integrated Model System‐Chemistry Climate Model: 1. Simulation Characteristics |
topic_facet |
GRIMS‐CCM Simulation Regional biases Astronomy QB1-991 Geology QE1-996.5 |
description |
Abstract This study describes the simulation characteristics of a newly developed Global/Regional Integrated Model system‐Chemistry Climate Model (GRIMs‐CCM), which is listed in Chemistry Climate Model Initiative as a participating model. The GRIMs‐CCM was run using a standard set of forcings, and historical sea surface temperatures and sea ice concentration from the Hadley Centre were prescribed. The simulation results of GRIMs‐CCM were compared to the National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis data set 1. The GRIMs‐CCM satisfactorily simulated the climatological (1960–2010) atmospheric features and atmospheric teleconnections resulting from tropical sea surface temperature forcing. However, the GRIMs‐CCM also had some regional biases; for instance, particularly, the temperature bias over the Antarctic was noticeable. We further analyzed physical processes that caused such biases and the influence of coupled chemistry‐climate processes in the GRIMs‐CCM, which may provide further guidance to improve an earlier version of the GRIMs‐CCM and other climate‐chemistry models participating in the Chemistry Climate Model Initiative. |
format |
Article in Journal/Newspaper |
author |
Yong‐Cheol Jeong Sang‐Wook Yeh Seungun Lee Rokjin J. Park |
author_facet |
Yong‐Cheol Jeong Sang‐Wook Yeh Seungun Lee Rokjin J. Park |
author_sort |
Yong‐Cheol Jeong |
title |
A Global/Regional Integrated Model System‐Chemistry Climate Model: 1. Simulation Characteristics |
title_short |
A Global/Regional Integrated Model System‐Chemistry Climate Model: 1. Simulation Characteristics |
title_full |
A Global/Regional Integrated Model System‐Chemistry Climate Model: 1. Simulation Characteristics |
title_fullStr |
A Global/Regional Integrated Model System‐Chemistry Climate Model: 1. Simulation Characteristics |
title_full_unstemmed |
A Global/Regional Integrated Model System‐Chemistry Climate Model: 1. Simulation Characteristics |
title_sort |
global/regional integrated model system‐chemistry climate model: 1. simulation characteristics |
publisher |
American Geophysical Union (AGU) |
publishDate |
2019 |
url |
https://doi.org/10.1029/2019EA000727 https://doaj.org/article/6796c48c276849dfaad17f79f7f1adce |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Sea ice |
genre_facet |
Antarc* Antarctic Sea ice |
op_source |
Earth and Space Science, Vol 6, Iss 10, Pp 2016-2030 (2019) |
op_relation |
https://doi.org/10.1029/2019EA000727 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2019EA000727 https://doaj.org/article/6796c48c276849dfaad17f79f7f1adce |
op_doi |
https://doi.org/10.1029/2019EA000727 |
container_title |
Earth and Space Science |
container_volume |
6 |
container_issue |
10 |
container_start_page |
2016 |
op_container_end_page |
2030 |
_version_ |
1766207204234362880 |