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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Published in:Earth and Space Science
Main Authors: Yong‐Cheol Jeong, Sang‐Wook Yeh, Seungun Lee, Rokjin J. Park
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union (AGU) 2019
Subjects:
Online Access:https://doi.org/10.1029/2019EA000727
https://doaj.org/article/6796c48c276849dfaad17f79f7f1adce
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spelling 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
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