中国农业气象 ›› 2025, Vol. 46 ›› Issue (7): 918-931.doi: 10.3969/j.issn.1000-6362.2025.07.002

• 农业气候资源与气候变化栏目 • 上一篇    下一篇

基于CMIP6 GCMs的台兰河流域未来降水量和气温变化特征

策李格尔,董文明,郝哲,徐敬东,彭亮   

  1. 1.新疆农业大学水利与土木工程学院/新疆水利工程安全与水灾害防治重点实验室,乌鲁木齐 830052;2.新疆维吾尔自治区国土综合整治中心,乌鲁木齐 830002;3.阿克苏水文勘测局,阿克苏 843000
  • 收稿日期:2024-08-07 出版日期:2025-07-20 发布日期:2025-07-20
  • 作者简介:第一作者联系方式:策李格尔,E-mail:1505878719@qq.com
  • 基金资助:
    新疆维吾尔自治区重大科技专项项目(2023A02002−1);自然资源部荒漠-绿洲生态监测与修复工程技术创新中心项目(2023KFKTA001)

Future Changes of Precipitation and Temperature over Tailan River Basin Based on CMIP6 GCMs

CELIGEER, DONG Wen-ming, HAO Zhe, XU Jing-dong, PENG Liang   

  1. 1.College of Hydraulic and Civil Engineering, Xinjiang Agricultural University/Xinjiang Key Laboratory of Hydraulic Engineering Security and Water Disasters Prevention, Urumqi 830052, China; 2. Department of Natural Resources of Xinjiang Uygur Autonomous Region, Urumqi 830002; 3. Aksu Hydrological Survey Service, Aksu 843000
  • Received:2024-08-07 Online:2025-07-20 Published:2025-07-20

摘要:

高寒山区是内陆河流域重要的产流区,对气候变化十分敏感。本研究基于耦合模式比较计划第六阶段(CMIP6)14个全球气候模式(GCM),以1995−2014年为基准期,利用Delta降尺度偏差校正后多模式集合平均(MME)模式数据,分析21世纪末期(2081−2100年)在3种共享社会经济路径情景(SSP1−2.6、SSP2−4.5和SSP5−8.5)下台兰河流域降水量(Pre)、最高气温(Tmax)和最低气温(Tmin)的变化,以期了解未来气候情景下流域降水量和气温的变化规律,为制定应对气候变化策略提供参考依据。结果表明:1Delta降尺度和偏差校正方法可有效校正14CMIP6气候模式降水量、气温及MME模式与观测数据的偏差。偏差校正后,MME模式模拟精度优于所有单一气候模式结果。(2)至21世纪末期(20812100年),3种情景下台兰河流域的年均降水量和气温较基准期均增加(上升)。降水距平百分比较基准期分别增加7.84~11.45个百分点、18.45~21.35个百分点和20.20~24.02个百分点,年均最高气温和最低气温较基准期分别升高2.03~2.07℃、2.95~3.02℃、5.07~5.12℃和1.85~1.92℃、2.99~3.04℃、6.09~6.13℃。(32025−2100年,SSP1−2.6、SSP2−4.5和SSP5−8.5 3情景下台兰河流域年均降水量、最高气温和最低气温显著增加,年均降水量增长率分别为6.51mm·10a−18.81mm·10a−19.01mm·10a−1,年均最高、最低气温升温速率分别为0.09℃·10a10.16℃·10a1、0.42℃·10a1和0.09℃·10a10.17℃·10a1、0.43℃·10a1

关键词: 台兰河流域, CMIP6, Delta降尺度, 多模式集合平均

Abstract:

Mountainous alpine areas are important water−producing areas in inland river basins that are highly sensitive to climate change. This study explored the projected changes in precipitation, maximum temperature (Tmax) and minimum temperature (Tmin) in the Tailan river basin (TRB) based on 14 Global Climate Models (GCMs) from the coupled model intercomparison project phase 6 (CMIP6) and the multi−model ensemble (MME) of the bias−corrected dataset by Delta method during 2081−2100, with reference to the baseline period 1995−2014, under three integrated scenarios (SSP1−2.6, SSP2−4.5, and SSP5−8.5) of Shared Socioeconomic Pathways (SSPs) in order to understand precipitation and temperature changes over TRB and provide references for local strategies against climate change. The results showed that: (1) the biases between CMIP6 GCMs and observation value could be effectively corrected by DCM. Meanwhile, it was found that the MME was better than all other individual models for each climatic variable. (2) Precipitation,Tmax,Tmin over the TRB from 2025 to 2100 was projected to increase under SSP1−2.6, SSP2−4.5 and SSP5−8.5. Precipitation was projected to increase at the rate of 6.51mm·10y−1, 8.81mm·10y1 and 9.01mm·10y1 under SSP1−2.6, SSP2−4.5, and SSP5−8.5, respectively. Tmax was projected to increase at the rate of 0.09℃·10y1, 0.16℃·10y1 and 0.42℃·10y1 under SSP1−2.6, SSP2−4.5 and SSP5−8.5, respectively. Tmin was projected to increase at the rate of 0.09℃·10y1, 0.17℃·10y1 and 0.43℃·10y1 under SSP1−2.6, SSP2−4.5 and SSP5−8.5, respectively. (3) During 20812100both precipitation and temperature over TRB increased under three integrated scenarios (SSP12.6, SSP24.5 and SSP58.5). The annual precipitation was projected to increase by 7.84−11.45pp, 18.45−21.35pp and 20.20−24.02pp under SSP1−2.6, SSP2−4.5 and SSP5−8.5, respectively. The annual mean Tmax over the TRB was projected to increase by 2.03−2.07℃, 2.95−3.02℃ and 5.07−5.12℃ under SSP1−2.6, SSP2−4.5 and SSP5−8.5. The annual mean Tmin over the TRB was projected to increase by 1.85−1.92℃, 2.99−3.04℃ and 6.09−6.13℃ under SSP1−2.6, SSP2−4.5 and SSP5−8.5.

Key words: Tailan river basin (TRB), CMIP6, Delta method, Multi?model ensemble (MME)