Coupled climate response to Atlantic Multidecadal Variability in a multi-model multi-resolution ensemble

被引:0
|
作者
Daniel L. R. Hodson
Pierre-Antoine Bretonnière
Christophe Cassou
Paolo Davini
Nicholas P. Klingaman
Katja Lohmann
Jorge Lopez-Parages
Marta Martín-Rey
Marie-Pierre Moine
Paul-Arthur Monerie
Dian A. Putrasahan
Christopher D. Roberts
Jon Robson
Yohan Ruprich-Robert
Emilia Sanchez-Gomez
Jon Seddon
Retish Senan
机构
[1] University of Reading,Department of Meteorology
[2] Barcelona Supercomputing Center,undefined
[3] Carrer de Jordi Girona,undefined
[4] 29-31,undefined
[5] Departamento de Física de la Tierra y Astrofísica,undefined
[6] Facultad de Ciencias Físicas,undefined
[7] Universidad Complutense de Madrid,undefined
[8] Consiglio Nazionale delle RicercheInstituto di Scienze dell’Atmosfera e del Clima (CNR-ISAC),undefined
[9] Max Planck Institute for Meteorology,undefined
[10] ECMWF,undefined
[11] Met Office,undefined
[12] CECI,undefined
[13] Université de Toulouse,undefined
[14] CERFACS/CNRS,undefined
[15] CERFACS Toulouse,undefined
[16] CERFACS/CECI,undefined
来源
Climate Dynamics | 2022年 / 59卷
关键词
AMV; Atlantic multidecadal variability; AMO; Atlantic multidecadal oscillation; High resolution; Decadal variability;
D O I
暂无
中图分类号
学科分类号
摘要
North Atlantic sea surface temperatures (SSTs) underwent pronounced multidecadal variability during the twentieth and early twenty-first century. We examine the impacts of this Atlantic Multidecadal Variability (AMV), also referred to as the Atlantic Multidecadal Oscillation (AMO), on climate in an ensemble of five coupled climate models at both low and high spatial resolution. We use a SST nudging scheme specified by the Coupled Model Intercomparision Project’s Decadal Climate Prediction Project Component C (CMIP6 DCPP-C) to impose a persistent positive/negative phase of the AMV in the North Atlantic in coupled model simulations; SSTs are free to evolve outside this region. The large-scale seasonal mean response to the positive AMV involves widespread warming over Eurasia and the Americas, with a pattern of cooling over the Pacific Ocean similar to the Pacific Decadal Oscillation (PDO), together with a northward displacement of the inter-tropical convergence zone (ITCZ). The accompanying changes in global atmospheric circulation lead to widespread changes in precipitation. We use Analysis of Variance (ANOVA) to demonstrate that this large-scale climate response is accompanied by significant differences between models in how they respond to the common AMV forcing, particularly in the tropics. These differences may arise from variations in North Atlantic air-sea heat fluxes between models despite a common North Atlantic SST forcing pattern. We cannot detect a widespread effect of increased model horizontal resolution in this climate response, with the exception of the ITCZ, which shifts further northwards in the positive phase of the AMV in the higher resolution configurations.
引用
收藏
页码:805 / 836
页数:31
相关论文
共 50 条
  • [31] Multi-model ensemble forecasting of North Atlantic tropical cyclone activity
    Gabriele Villarini
    Beda Luitel
    Gabriel A. Vecchi
    Joyee Ghosh
    [J]. Climate Dynamics, 2019, 53 : 7461 - 7477
  • [32] Multi-model ensemble forecasting of North Atlantic tropical cyclone activity
    Villarini, Gabriele
    Luitel, Beda
    Vecchi, Gabriel A.
    Ghosh, Joyee
    [J]. CLIMATE DYNAMICS, 2019, 53 (12) : 7461 - 7477
  • [33] Leading Modes of East Asian Winter Climate Variability and Their Predictability: An Assessment of the APCC Multi-Model Ensemble
    Sohn, Soo-Jin
    Tam, Chi-Yung
    Park, Chung-Kyu
    [J]. JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2011, 89 (05) : 455 - 474
  • [34] Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots
    Wang, Junpeng
    Liu, Xiaotong
    Shen, Han-Wei
    Lin, Guang
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2017, 23 (01) : 81 - 90
  • [35] A novel approach to a multi-model ensemble for climate change models: Perspectives on the representation of natural variability and historical and future climate
    Kim, Yong-Tak
    Yu, Jae-Ung
    Kim, Tae-Woong
    Kwon, Hyun-Han
    [J]. WEATHER AND CLIMATE EXTREMES, 2024, 44
  • [36] CLIMATE CHANGE PROJECTIONS FOR THE PORTUGUESE VITICULTURE USING A MULTI-MODEL ENSEMBLE
    Fraga, Helder
    Santos, Joao A.
    Malheiro, Aureliano C.
    Moutinho-Pereira, Jose
    [J]. CIENCIA E TECNICA VITIVINICOLA, 2012, 27 (01): : 39 - 48
  • [37] Multi-resolution protein model
    Kim, Deok-Soo
    Lee, Bohyung
    Won, Chung-In
    Kim, Donguk
    Ryu, Joonghyun
    Cho, Youngsong
    Kim, Chong-Min
    Lee, Sung-Hoon
    Bhak, Jonghwa
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2007, PT 2, PROCEEDINGS, 2007, 4706 : 639 - 652
  • [38] Multi-model ensemble: technique and validation
    Rozante, J. R.
    Moreira, D. S.
    Godoy, R. C. M.
    Fernandes, A. A.
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2014, 7 (05) : 2333 - 2343
  • [39] Climate change projections of medicanes with a large multi-model ensemble of regional climate models
    Romera, Raquel
    Angel Gaertner, Miguel
    Sanchez, Enrique
    Dominguez, Marta
    Jesus Gonzalez-Aleman, Juan
    Miglietta, Mario Marcello
    [J]. GLOBAL AND PLANETARY CHANGE, 2017, 151 : 134 - 143
  • [40] Model independence in multi-model ensemble prediction
    Abramowitz, Gab
    [J]. AUSTRALIAN METEOROLOGICAL AND OCEANOGRAPHIC JOURNAL, 2010, 59 : 3 - 6