Time-Evolving Radiative Feedbacks in the Historical Period

被引:2
|
作者
Salvi, Pietro [1 ,2 ,3 ]
Gregory, Jonathan M. [1 ,4 ]
Ceppi, Paulo [2 ,3 ]
机构
[1] Univ Reading, Natl Ctr Atmospher Sci, Reading, England
[2] Imperial Coll London, Dept Phys, London, England
[3] Grantham Inst, Imperial Coll London, London, England
[4] Hadley Ctr, Met Off, Exeter, England
基金
欧洲研究理事会;
关键词
radiative forcing; stability; volcanic aerosol; radiative feedbacks; warm pool; time-varying; MODEL INTERCOMPARISON PROJECT; SURFACE-TEMPERATURE-CHANGE; CLIMATE SENSITIVITY; EXPERIMENTAL-DESIGN; VOLCANIC-ERUPTIONS; CLOUD FEEDBACK; GLOBAL CLOUD; DEPENDENCE; PATTERNS; IMPACT;
D O I
10.1029/2023JD038984
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
We investigate the time-dependence of radiative feedback in the historical period (since the late 19th century), by analyzing experiments using coupled atmosphere-ocean climate models with historical greenhouse gas, anthropogenic aerosol, and natural forcings, each separately. We find that radiative feedback depends on forcing agent, primarily through the effect of cloud on shortwave radiation, because the various forcings cause different changes in global-mean tropospheric stability per degree of global-mean temperature change. The large time-variation of historical feedback driven by observed sea surface temperature change alone, with no forcing agents, is also consistent with tropospheric stability change, and differs from the similarly large and significant historical time-variation of feedback that is simulated in response to all forcing agents together. We show that the latter results from the varying relative sizes of individual forcings. We highlight that volcanic forcing is especially important for understanding the time-variation, because it stimulates particularly strong feedbacks that tend to reduce effective climate sensitivity. We relate this to stability changes due to enhanced surface temperature response in the Indo-Pacific warm pool.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Dynamic Modeling and Forecasting of Time-evolving Data Streams
    Matsubara, Yasuko
    Sakurai, Yasushi
    KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019, : 458 - 468
  • [42] Time-evolving rule-based knowledge bases
    Lorentzos, NA
    Yialouris, CP
    Sideridis, AB
    DATA & KNOWLEDGE ENGINEERING, 1999, 29 (03) : 313 - 335
  • [43] A Local Approximation Approach for Processing Time-Evolving Graphs
    Ji, Shuo
    Zhao, Yinliang
    SYMMETRY-BASEL, 2018, 10 (07):
  • [44] Analysis of acoustic channels with a time-evolving sinusoidal surface
    Choo, Youngmin
    Seong, Woojae
    APPLIED ACOUSTICS, 2014, 78 : 28 - 32
  • [45] Graph Motif Entropy for Understanding Time-Evolving Networks
    Zhang, Zhihong
    Chen, Dongdong
    Bai, Lu
    Wang, Jianjia
    Hancock, Edwin R.
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (04) : 1651 - 1665
  • [46] Efficient Closeness Centrality Computation in Time-Evolving Graphs
    Ni, Peng
    Hanai, Masatoshi
    Tan, Wen Jun
    Cai, Wentong
    PROCEEDINGS OF THE 2019 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2019), 2019, : 378 - 385
  • [47] Queryable Compression on Time-Evolving Social Networks with Streaming
    Nelson, Michael
    Radhakrishnan, Sridhar
    Sekharan, Chandra N.
    2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 146 - 151
  • [48] Characteristics of Acoustic Channel with Time-evolving Regular Surface
    Choo, Youngmin
    Seong, Woojae
    Lee, Keunhwa
    Hong, Wooyoung
    INTERNATIONAL JOURNAL OF OFFSHORE AND POLAR ENGINEERING, 2014, 24 (02) : 129 - 134
  • [49] TensorCast: Forecasting Time-Evolving Networks with Contextual Information
    Araujo, Miguel
    Ribeiro, Pedro
    Faloutsos, Christos
    PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2018, : 5199 - 5203
  • [50] Clustering of time-evolving scaling dynamics in a complex signal
    Saghir, Hamidreza
    Chau, Tom
    Kushki, Azadeh
    PHYSICAL REVIEW E, 2016, 94 (01)