Estimations of potential evapotranspiration from CMIP6 multi-model ensemble over Africa

被引:2
|
作者
Yahaya, Ibrahim [1 ,2 ]
Li, Zhenjie [1 ,3 ]
Zhou, Jian [1 ]
Jiang, Shan [1 ]
Su, Buda [1 ]
Huang, Jinlong [1 ]
Xu, Runhong [4 ]
Havea, Peni Hausia [1 ]
Jiang, Tong [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Inst Disaster Risk Management, Sch Geog Sci, Nanjing 210044, Peoples R China
[2] Gombe State Univ, Dept Geog, PMB 127, Gombe, Gombe, Nigeria
[3] Lincang Meteorol Bur, Lincang 677099, Yunnan, Peoples R China
[4] Qinghai Normal Univ, Sch Geog Sci, Xining 810008, Peoples R China
基金
美国国家科学基金会;
关键词
Potential evapotranspiration; CMIP6; SSPs; Climate change; Africa; CHANGE IMPACT ANALYSIS; CLIMATE; TRENDS; MODEL; SENSITIVITY; WATER; ZONE; SOIL;
D O I
10.1016/j.atmosres.2024.107255
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Potential evapotranspiration (PET) plays a pivotal role in resource management and drought assessment. However, future PET estimates remain underexplored in the African region. This study employs twenty General Circulation Models (GCMs) to estimate past (1979-2014) and future PET changes across near -term (2021-2040), mid-term (2061-2080), and long-term (2081-2100) periods, considering four Shared Socioeconomic Pathways (SSPs) including SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The research assesses the impact of various climatic factors on PET across Africa and its sub -regions using the Penman -Monteith model. The analysis reveals that Penman -Monteith estimates for PET during 1979-2014 exhibit an increase of 0.68 mm per year (mm/a) across Africa. Notably, the Northern region (NAF), Sahara (SAH), Southern region (SAF), and Eastern region (EAF) experience higher PET changes of 1.78 mm/a, 1.75 mm/a, 1.09 mm/a, and 0.12 mm/a, respectively. Conversely, the Western region (WAF) and Central region (CAF) exhibit negative trends of -0.03 mm/a, and0.28 mm/a. Future PET in whole Africa is projected to increase by 0.05 mm/a in SSP1-2.6 and SSP2-4.5, and 0.07 mm/a in higher emissions for 2021-2040, by 0.02 mm/an under SSP1-2.6, 0.07 in SSP2-4.5, 0.09 mm/a, and 0.16 mm/a, in SSP3-7.0 and SSP5-8.5 for 2061-2080, and by -0.01 mm/a in SSP1-2.6, 0.05 mm/a SSP2-4.5, 0.10 mm/a SSP3-7.0, and 0.18 mm/a SSP5-8.5 for 2081-2100. Furthermore, higher emissions are anticipated to drive PET increases in various regions during 2081-2100, with NAF, SAH, and SAF projected to rise by 0.17 mm/a, 0.16 mm/a, and 0.23 mm/a, respectively. WAF, CAF, and EAF are expected to experience increases of 0.20 mm/a, 0.19 mm/a, and 0.15 mm/a, respectively. Contribution analysis indicates that solar radiation played a major factor in PET over Africa as well as in WAF, CAF, and EAF. Maximum temperatures were pivotal in NAF, SAH, and SAF. In future periods (2021-2040, 2061-2080, and 2081-2100), maximum temperatures take precedence to Africa's PET, and at varying percentages to different sub -regions. The findings underscore the significance of PET estimation, particularly in the context of drought evaluation locally and regionally.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Projecting future reference evapotranspiration in Iran based on CMIP6 multi-model ensemble
    Modaresi, Fereshteh
    Araghi, Alireza
    THEORETICAL AND APPLIED CLIMATOLOGY, 2023, 153 (1-2) : 101 - 112
  • [2] Projecting future reference evapotranspiration in Iran based on CMIP6 multi-model ensemble
    Fereshteh Modaresi
    Alireza Araghi
    Theoretical and Applied Climatology, 2023, 153 : 101 - 112
  • [3] Temperature extremes Projections over Bangladesh from CMIP6 Multi-model Ensemble
    Akter, Mst Yeasmin
    Islam, Abu Reza Md Towfiqul
    Mallick, Javed
    Alam, Md Mahfuz
    Alam, Edris
    Shahid, Shamsuddin
    Biswas, Jatish Chandra
    Alam, G. M. Manirul
    Pal, Subodh Chandra
    Oliver, Md Moinul Hosain
    THEORETICAL AND APPLIED CLIMATOLOGY, 2024, 155 (09) : 8843 - 8869
  • [4] CMIP6 multi-model ensemble projection of reference evapotranspiration using machine learning algorithms
    Nouri, Milad
    Veysi, Shadman
    Agricultural Water Management, 2024, 306
  • [5] Optimizing the multi-model ensemble of CMIP6 GCMs for climate simulation over Bangladesh
    Afifa Talukder
    Shamsuddin Shaid
    Syewoon Hwang
    Edris Alam
    Kamrul Islam
    Mohammad Kamruzzaman
    Scientific Reports, 15 (1)
  • [6] Future drought characteristics through a multi-model ensemble from CMIP6 over South Asia
    Zhai, Jianqing
    Mondal, Sanjit Kumar
    Fischer, Thomas
    Wang, Yanjun
    Su, Buda
    Huang, Jinlong
    Tao, Hui
    Wang, Guojie
    Ullah, Waheed
    Uddin, Md. Jalal
    ATMOSPHERIC RESEARCH, 2020, 246
  • [7] Projected changes in wet and dry extremes in the CMIP6 multi-model ensemble over the IGAD region of Eastern Africa
    Paulino Omoj Omay
    Nzioka J. Muthama
    Christopher Oludhe
    Josiah M. Kinama
    Guleid Artan
    Zachary Atheru
    Discover Atmosphere, 2 (1):
  • [8] Evaluation of the CMIP6 multi-model ensemble for climate extreme indices
    Kim, Yeon-Hee
    Min, Seung-Ki
    Zhang, Xuebin
    Sillmann, Jana
    Sandstad, Marit
    WEATHER AND CLIMATE EXTREMES, 2020, 29
  • [9] Probabilistic projection of extreme precipitation changes over Iran by the CMIP6 multi-model ensemble
    Khansalari, Sakineh
    Mohammadi, Atefeh
    CLIMATIC CHANGE, 2024, 177 (07)