A Global/Regional Integrated Model System‐Chemistry Climate Model: 1. Simulation Characteristics. Issue 10 (31st October 2019)

• Record Type: Journal Article
• Authors: Jeong, Yong‐Cheol; Yeh, Sang‐Wook; Lee, Seungun; Park, Rokjin J.
• Is Part Of: Earth and space science. Volume 6:Issue 10(2019)
• Page Start: 2016
• Page End: 2030
• Publication Date: 2019-10-31
• Subjects: GRIMS‐CCM -- Simulation -- Regional biases; Space sciences -- Periodicals; Geophysics -- Periodicals; 500.5
• DOI: 10.1029/2019EA000727
• Languages: English
• ISSNs: 2333-5084

Abstract

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. Key Points: We described the simulation characteristics of a newly developed Global/Regional Integrated Model system‐Chemistry Climate Model (GRIMs‐CCM) The GRIMs‐CCM simulated the climatological atmospheric features as well as atmospheric teleconnections resulting from tropical SST forcing The physical processes that cause biases in the GRIMs‐CCM provide further guidance to improve other climate‐chemistry models in the CCMI