IEECAS OpenIR  > 黄土与第四纪地质国家重点实验室(2010~)
Cloud Radiative Feedbacks during the ENSO Cycle Simulated by CAMS-CSM
Chen, Lin1,2,3; Hua, Lijuan4; Rong, Xinyao4; Li, Jian4; Wang, Lu1; Zhang, Guo4; Sun, Ming1; Ge, Zi'an1
Corresponding AuthorHua, Lijuan(hualj@cma.gov.cn)
2019-08-01
Source PublicationJOURNAL OF METEOROLOGICAL RESEARCH
ISSN2095-6037
Volume33Issue:4Pages:666-677
AbstractThis study evaluated the simulated cloud radiative feedbacks (CRF) during the El Nino-Southern Oscillation (ENSO) cycle in the latest version of the Chinese Academy of Meteorological Sciences climate system model (CAMS-CSM). We conducted two experimental model simulations: the Atmospheric Model Intercomparison Project (AMIP), forced by the observed sea surface temperature (SST); and the preindustrial control (PIcontrol), a coupled run without flux correction. We found that both the experiments generally reproduced the observed features of the shortwave and longwave cloud radiative forcing (SWCRF and LWCRF) feedbacks. The AMIP run exhibited better simulation performance in the magnitude and spatial distribution than the PIcontrol run. Furthermore, the simulation biases in SWCRF and LWCRF feedbacks were linked to the biases in the representation of the corresponding total cloud cover and precipitation feedbacks. It is interesting to further find that the simulation bias originating in the atmospheric component was amplified in the PIcontrol run, indicating that the coupling aggravated the simulation bias. Since the PIcontrol run exhibited an apparent mean SST cold bias over the cold tongue, the precipitation response to the SST anomaly (SSTA) changes during the ENSO cycle occurred towards the relatively warmer western equatorial Pacific. Thus, the corresponding cloud cover and CRF shifted westward and showed a weaker magnitude in the PI-control run versus observational data. In contrast, the AMIP run was forced by the observational SST, hence representing a more realistic CRF. Our results demonstrate the challenges of simulating CRF in coupled models. This study also underscores the necessity of realistically representing the climatological mean state when simulating CRF during the ENSO cycle.
KeywordENSO CAMS climate system model cloud radiative feedbacks ENSO cycle
DOI10.1007/s13351-019-8104-3
WOS KeywordCLIMATE SYSTEM MODEL ; EL-NINO ; ATMOSPHERE FEEDBACKS ; DYNAMICAL FEEDBACKS ; WATER-VAPOR ; COLD-TONGUE ; STABILITY ; ASYMMETRY
Indexed BySCI ; SCI
Language英语
Funding ProjectNational Key Research and Development Program[2018YFC1506002] ; National Natural Science Foundation of China[41606011] ; National Natural Science Foundation of China[41705059] ; National Natural Science Foundation of China[41630423] ; National Natural Science Foundation of China[41420104002] ; Basic Scientific Research and Operation Foundation of Chinese Academy of Meteorological Sciences[2017Y007] ; National Science Foundation[AGS-1565653] ; National (Key) Basic Research and Development (973) Program of China[2015CB453200] ; Startup Foundation for Introducing Talent of NUIST, LASG Open Project ; open fund of State Key Laboratory of Loess and Quartary Geology[SKLLQG1802] ; NUIST Excellent Bachelor Dissertation Funding[1241591901003]
WOS Research AreaMeteorology & Atmospheric Sciences
Funding OrganizationNational Key Research and Development Program ; National Natural Science Foundation of China ; Basic Scientific Research and Operation Foundation of Chinese Academy of Meteorological Sciences ; National Science Foundation ; National (Key) Basic Research and Development (973) Program of China ; Startup Foundation for Introducing Talent of NUIST, LASG Open Project ; open fund of State Key Laboratory of Loess and Quartary Geology ; NUIST Excellent Bachelor Dissertation Funding
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000485010900006
PublisherSPRINGER HEIDELBERG
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/13504
Collection黄土与第四纪地质国家重点实验室(2010~)
Corresponding AuthorHua, Lijuan
Affiliation1.Nanjing Univ Informat Sci & Technol NUIST, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Joint Int Res Lab Climate & Environm Change, Key Lab Meteorol Disaster,Minist Educ, Nanjing 210044, Jiangsu, Peoples R China
2.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China
3.Chinese Acad Sci, State Key Lab Loess & Quaternary Geol, Inst Earth Environm, Xian 710061, Shaanxi, Peoples R China
4.China Meteorol Adm, Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
Recommended Citation
GB/T 7714
Chen, Lin,Hua, Lijuan,Rong, Xinyao,et al. Cloud Radiative Feedbacks during the ENSO Cycle Simulated by CAMS-CSM[J]. JOURNAL OF METEOROLOGICAL RESEARCH,2019,33(4):666-677.
APA Chen, Lin.,Hua, Lijuan.,Rong, Xinyao.,Li, Jian.,Wang, Lu.,...&Ge, Zi'an.(2019).Cloud Radiative Feedbacks during the ENSO Cycle Simulated by CAMS-CSM.JOURNAL OF METEOROLOGICAL RESEARCH,33(4),666-677.
MLA Chen, Lin,et al."Cloud Radiative Feedbacks during the ENSO Cycle Simulated by CAMS-CSM".JOURNAL OF METEOROLOGICAL RESEARCH 33.4(2019):666-677.
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