On the simulations of latent heat flux over the Indian Ocean in CMIP6 models

被引:0
|
作者
Mohan, Soumya [1 ,2 ]
Ruchith, R. D. [1 ]
机构
[1] CSIR, Natl Inst Oceanog, Phys Oceanog Div, Panaji, Goa, India
[2] Acad Sci & Innovat Res AcSIR, Gaziabad, India
关键词
CMIP6; LHF; Climate models; Long-term trend; Multimodel mean; BIASES; VARIABILITY; STABILITY; PRODUCTS;
D O I
10.1007/s00382-023-06871-y
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The historical simulations of latent heat flux (LHF) over the Indian Ocean (IO) region in 46 climate models participating in the phase 6 of Coupled Model Intercomparison Project (CMIP6) have been evaluated against the ERA5 dataset for the period 1975-2014. The multimodel mean (MMM) captures the observed spatial pattern of LHF climatological mean state to a great extent, but there are large biases in magnitude, especially over the region north of 20 degrees S and south of 40 degrees S, and these biases are common to more than 70% of the individual CMIP6 models. The origins of these biases are due to overestimated surface winds and vertical humidity gradients in the models. The simulated trend values of LHF are largely underestimated and are highly inconsistent in individual models. The basin-wide increase of surface saturation specific humidity (Q(s)) is largely compensated by a similar increase in near-surface saturation specific humidity (Q(a)) trend, which leads to reduced vertical humidity gradient for the latent heat transfer to take place at the air-sea interface. The long-term trend of sea surface temperature (SST) and Q(S) are found to be reasonable in CMIP6 models. One of the reasons for the underestimated LHF trend in CMIP6 models is the faster rate of increase of Q(a )and very slow rate of increase of surface wind speed compared to the ERA5 dataset.
引用
收藏
页码:5573 / 5595
页数:23
相关论文
共 50 条
  • [1] On the simulations of latent heat flux over the Indian Ocean in CMIP6 models
    Soumya Mohan
    R. D. Ruchith
    Climate Dynamics, 2023, 61 : 5573 - 5595
  • [2] CMIP6 projections of surface latent heat flux over the North Indian Ocean
    Naskar, Pravat Rabi
    Mohapatra, Mrutyunjay
    Singh, Gyan Prakash
    THEORETICAL AND APPLIED CLIMATOLOGY, 2024, 155 (08) : 8067 - 8076
  • [3] Indian Ocean Intermediate Water Masses and Their Simulations by CMIP6 Models
    Zhou, Jihao
    Li, Yuanlong
    Du, Yan
    Hong, Yu
    Lu, Lei
    Lu, Ying
    Wang, Wei-Lei
    Wang, Fan
    JOURNAL OF CLIMATE, 2024, 37 (23) : 6285 - 6303
  • [4] Zonal current structure of the Indian Ocean in CMIP6 models
    Zhang, Jianbin
    Wang, Chunzai
    DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY, 2023, 208
  • [5] Comparison of Indian Ocean warming simulated by CMIP5 and CMIP6 models
    Li Jingyi
    Su Jingzhi
    ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2020, 13 (06) : 604 - 611
  • [6] Evaluation of precipitation simulations in CMIP6 models over Uganda
    Ngoma, Hamida
    Wen, Wang
    Ayugi, Brian
    Babaousmail, Hassen
    Karim, Rizwan
    Ongoma, Victor
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2021, 41 (09) : 4743 - 4768
  • [7] Understanding Biases in Indian Ocean Seasonal SST in CMIP6 Models
    Mckenna, Sebastian
    Santoso, Agus
    Sen Gupta, Alex
    Taschetto, Andrea S.
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2024, 129 (02)
  • [8] Teleconnection and the Antarctic response to the Indian Ocean Dipole in CMIP5 and CMIP6 models
    Sen, Arnab
    Deb, Pranab
    Matthews, Adrian J.
    Joshi, Manoj M.
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2024, 150 (765) : 5020 - 5036
  • [9] Key process diagnostics for monsoon intraseasonal oscillation over the Indian Ocean in coupled CMIP6 models
    Li, Baosheng
    Zhou, Lei
    Qin, Jianhuang
    Meng, Ze
    CLIMATE DYNAMICS, 2022, 59 (9-10) : 2853 - 2870
  • [10] Key process diagnostics for monsoon intraseasonal oscillation over the Indian Ocean in coupled CMIP6 models
    Baosheng Li
    Lei Zhou
    Jianhuang Qin
    Ze Meng
    Climate Dynamics, 2022, 59 : 2853 - 2870