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Observed changes in temperature extremes over Asia and their attribution

  • Identification data

    Identifier: imarina:5131762
    Authors:
    Siyan DongYing SunEnric AguilarXuebin ZhangThomas C. PetersonLianchun SongYingxian Zhang
    Abstract:
    This study presents trends in a newly compiled temperature extreme indices dataset for Asia covering the period of 1958-2012. Daily data were homogenized prior to the calculation of the indices. A clear warming trend was observed in all indices, which is consistent with the global warming. In most of the indices, larger warming was observed at high latitudes than at low latitudes. We also compared observations with simulations from the Coupled Model Inter-comparison Project Phase 5 for some indices using an optimal fingerprinting method. These indices include the number of days with daily maximum or minimum temperatures greater than their 90th percentiles or smaller than their 10th percentiles, the annual highest daily maximum and minimum temperatures, and the annual lowest daily maximum and minimum temperatures. We determined that the warming trend was inconsistent with the natural variability of the climate system but agreed with climate responses to external forcing as simulated by the models.The anthropogenic and natural signals could be detected and separated from each other in the region for almost all indices, indicating the robustness of the warming signal as well as the attribution of warming to external causes.
  • Others:

    Author, as appears in the article.: Siyan Dong; Ying Sun; Enric Aguilar; Xuebin Zhang; Thomas C. Peterson; Lianchun Song; Yingxian Zhang
    Department: Geografia
    URV's Author/s: Aguilar Anfrons, Enrique Modesto
    Keywords: Observations in asia Extreme temperatures Attribution Anthropogenic forcing
    Abstract: This study presents trends in a newly compiled temperature extreme indices dataset for Asia covering the period of 1958-2012. Daily data were homogenized prior to the calculation of the indices. A clear warming trend was observed in all indices, which is consistent with the global warming. In most of the indices, larger warming was observed at high latitudes than at low latitudes. We also compared observations with simulations from the Coupled Model Inter-comparison Project Phase 5 for some indices using an optimal fingerprinting method. These indices include the number of days with daily maximum or minimum temperatures greater than their 90th percentiles or smaller than their 10th percentiles, the annual highest daily maximum and minimum temperatures, and the annual lowest daily maximum and minimum temperatures. We determined that the warming trend was inconsistent with the natural variability of the climate system but agreed with climate responses to external forcing as simulated by the models.The anthropogenic and natural signals could be detected and separated from each other in the region for almost all indices, indicating the robustness of the warming signal as well as the attribution of warming to external causes.
    Research group: Centre en Canvi Climàtic (C3)
    Thematic Areas: Meteorology & atmospheric sciences Interdisciplinar Geografía Geociências Engenharias i Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência da computação Biodiversidade Atmospheric science Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: enric.aguilar@urv.cat
    Author identifier: 0000-0002-8384-377X
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://link.springer.com/article/10.1007/s00382-017-3927-z
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Climate Dynamics. 51 (1-2): 339-353
    APA: Siyan Dong; Ying Sun; Enric Aguilar; Xuebin Zhang; Thomas C. Peterson; Lianchun Song; Yingxian Zhang (2018). Observed changes in temperature extremes over Asia and their attribution. Climate Dynamics, 51(1-2), 339-353. DOI: 10.1007/s00382-017-3927-z
    Article's DOI: 10.1007/s00382-017-3927-z
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2018
    Publication Type: Journal Publications
  • Keywords:

    Atmospheric Science,Meteorology & Atmospheric Sciences
    Observations in asia
    Extreme temperatures
    Attribution
    Anthropogenic forcing
    Meteorology & atmospheric sciences
    Interdisciplinar
    Geografía
    Geociências
    Engenharias i
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência da computação
    Biodiversidade
    Atmospheric science
    Astronomia / física
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