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Projections of precipitation over China based on CMIP6 models

机译:基于CMIP6模型的中国降水预测

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摘要

Precipitation fluctuations are continuously threatening the environment and may cause huge economic losses. In present study, the precipitation over China has been evaluated under five principal shared socioeconomic pathways (SSPs) scenarios during 2015-2099 based on eight CMIP6 models bias-corrected by the method of Equidistant Cumulative Distribution Functions. The results showed that (1) the simulated precipitation in China was in good agreement with observed precipitation for the eight CMIP6 models during 1961-2014, especially for the UKESM1-0-LL and MIROC6. However, the simulated annual mean precipitation has been significantly overvalued in the Southwest River basin ( 50%), while it was undervalued in the higher elevations of the Northwest River basin ( - 60%); (2) the annual mean precipitation will show a fluctuating upward trend during 2015-2099 over China under all the SSPs scenarios for the eight CMIP6 models. The rate of precipitation increase over north China will be higher than that in south China, especially in the Northwest River basin (reach 57.44% in the 2090s under the SSP5-8.5 for the ensemble mean). This increase of the precipitation in north China might alleviate the shortage of water there, but will not change the pattern of more rain in the south and less in the north; (3) in the southeastern basins, the precipitation of the multi-model ensemble (MME) and MIROC6 during 2011-2020 will be lower than that of 1961-2010 (- 6.53 to - 0.06%) under all SSPs scenarios. While the precipitation will increase obviously under all the SSPs scenarios, especially for the SSP5-8.5 scenario after the year of 2060; (4) the bias of the MME was much lower than that of individual CMIP6 models, and the bias of lower SSPs scenarios will be relatively lower. Generally, uncertainty ranges of precipitation fluctuations in north China (15.31-79.26%) will be higher than those in south China (16.06-7.55%). These findings revealed the projections and uncertainties of CMIP6 precipitation over China, which will be helpful for a better understanding of the future evolution of precipitation in China at large scale and in other regions of the world.
机译:降水波动不断威胁环境,并可能导致巨大的经济损失。在本研究中,降水中国已根据五个主要共享社会经济途径程序(SSP)的场景时2015至99年基础上通过等距累积分布函数的方法8个CMIP6模型偏差校正评估。结果表明:在1961至2014年(1)模拟的在中国的降水与观测到的降水量为八个CMIP6车型基本一致,尤其是对UKESM1-0-LL和MIROC6。然而,模拟年降水量已经显著在西南流域高估(大于50%),而这是在西北流域的高海拔低估(小于 - 60%); (2)年平均降水量将在下的所有SSP的情景八个CMIP6车型2015年至2099年在中国呈现波动上升的趋势。降水增加了中国北方的速度会比中国南高,特别是在西北流域(REACH在2090年代57.44%的SSP5-8.5的集合平均下)。中国北方降水量的这种增加可能缓解的水有短缺,但不会改变的雨水较多的模式在南方和北方少; (3)在东南盆地中,多模式集合(MME)和MIROC6的期间2011-2020沉淀会比的1961至2010年降低( - 0.06% - 6.53至)根据所有SSP场景。虽然降水将明显增加下的所有SSP的情况下,尤其是对2060年以后的SSP5-8.5方案; (4)所述MME的偏压比个别CMIP6模型的要低得多,和较低的SSP场景偏置会相对降低。一般来说,在中国北方(15.31-79.26%)降水量波动的不确定性范围会比在中国南部(16.06-7.55%)更高。这些发现揭示了在中国的预测和CMIP6沉淀的不确定性,这将有利于更好地了解在中国大规模降水的未来发展,并在世界其他地区。

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  • 作者单位

    Nanjing Forestry Univ Joint Innovat Ctr Modern Forestry Studies Coll Bi Nanjing 210037 Jiangsu Peoples R China;

    Nanjing Forestry Univ Joint Innovat Ctr Modern Forestry Studies Coll Bi Nanjing 210037 Jiangsu Peoples R China|Chinese Acad Sci Xinjiang Inst Ecol & Geog Urumqi 830011 Xinjiang Peoples R China;

    Chinese Acad Sci Xinjiang Inst Ecol & Geog Urumqi 830011 Xinjiang Peoples R China;

    Nanjing Forestry Univ Joint Innovat Ctr Modern Forestry Studies Coll Bi Nanjing 210037 Jiangsu Peoples R China;

    China Meteorol Adm Natl Climate Ctr Beijing 100081 Peoples R China;

    Chinese Acad Sci Xinjiang Inst Ecol & Geog Urumqi 830011 Xinjiang Peoples R China;

    Nanjing Univ Informat Sci & Technol Sch Geog Sci Nanjing 210044 Jiangsu Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CMIP6; Precipitation; SSPs; Large river basin; China;

    机译:CMIP6;降水;SSP;大河流域;中国;

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