State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China.
Environ Sci Pollut Res Int. 2022 Apr;29(18):26214-26229. doi: 10.1007/s11356-021-17474-7. Epub 2021 Dec 1.
The Pan-Third Pole (PTP) region, which encompasses the Eurasian highlands and their surroundings, has experienced unprecedented, accelerated warming during the past decades. This study evaluates the performance of historical simulation runs of the Coupled Model Intercomparison Project (CMIP6) in capturing spatial patterns and temporal variations observed over the PTP region for mean and extreme temperatures. In addition, projected changes in temperatures under four Shared Socioeconomic Pathway (SSP) scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) are also reported. Four indices were used to characterize changes in temperature extremes: the annual maximum value of daily maximum temperature (TXx), the annual minimum value of daily minimum temperature (TNn), and indices for the percentage of warm days (TX90p) and warm nights (TN90p). Results indicate that most CMIP6 models generally capture the characteristics of the observed mean and extreme temperatures over the PTP region, but there still are slight cold biases in the Tibetan Plateau. Future changes of mean and extreme temperatures demonstrate that a strong increase will occur for the entire PTP region during the twenty-first century under all four SSP scenarios. Between 2015 and 2099, ensemble area-averaged annual mean temperatures are projected to increase by 1.24 °C/100 year, 3.28 °C/100 year, 5.57 °C/100 year, and 7.40 °C/100 year for the SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios, respectively. For TXx and TNn, the most intense warming is projected in Central Asia. The greatest number of projected TX90p and TN90p will occur in the Southeast Asia and Tibetan Plateau, respectively.
泛第三极(PTP)地区涵盖了欧亚大陆高地及其周边地区,在过去几十年经历了前所未有的加速变暖。本研究评估了耦合模式比较计划第六阶段(CMIP6)历史模拟运行在捕捉 PTP 地区平均和极端温度的空间模式和时间变化方面的表现。此外,还报告了四个共享社会经济路径(SSP)情景下(SSP1-2.6、SSP2-4.5、SSP3-7.0 和 SSP5-8.5)的温度变化预测。使用四个指数来描述温度极端变化:日最高温度年最大值(TXx)、日最低温度年最小值(TNn)以及温暖日(TX90p)和温暖夜(TN90p)的百分比指数。结果表明,大多数 CMIP6 模型通常可以捕捉到 PTP 地区观测到的平均和极端温度特征,但青藏高原仍存在轻微的冷偏差。未来平均和极端温度的变化表明,在所有四个 SSP 情景下,整个 PTP 地区在 21 世纪将经历强烈的升温。在 2015 年至 2099 年期间,预计所有四个 SSP 情景下的年平均温度的集合区域平均值将分别增加 1.24°C/100 年、3.28°C/100 年、5.57°C/100 年和 7.40°C/100 年。对于 TXx 和 TNn,预计中亚地区的升温最为强烈。预计 TX90p 和 TN90p 的最大数量将分别出现在东南亚和青藏高原。