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
  • [11] CMIP6 projected sea surface temperature over the North Indian Ocean
    Naskar, Pravat Rabi
    Singh, Gyan Prakash
    Pattanaik, Dushmanta Ranjan
    JOURNAL OF EARTH SYSTEM SCIENCE, 2024, 133 (04)
  • [12] Latent heat flux variability over the tropical Indian Ocean
    Mohan, Soumya
    Ruchith, R. D.
    Rahul, S.
    Shanas, P. R.
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2023, 43 (13) : 6225 - 6242
  • [13] The Subsurface and Surface Indian Ocean Dipoles and Their Association with ENSO in CMIP6 models
    Ge SONG
    Rongcai REN
    AdvancesinAtmosphericSciences, 2023, 40 (06) : 975 - 987
  • [14] The Subsurface and Surface Indian Ocean Dipoles and Their Association with ENSO in CMIP6 models
    Ge Song
    Rongcai Ren
    Advances in Atmospheric Sciences, 2023, 40 : 975 - 987
  • [15] Southern Ocean polynyas in CMIP6 models
    Mohrmann, Martin
    Heuze, Celine
    Swart, Sebastiaan
    CRYOSPHERE, 2021, 15 (09): : 4281 - 4313
  • [16] The Subsurface and Surface Indian Ocean Dipoles and Their Association with ENSO in CMIP6 models
    Song, Ge
    Ren, Rongcai
    ADVANCES IN ATMOSPHERIC SCIENCES, 2023, 40 (06) : 975 - 987
  • [17] Intercomparison of tropical Indian Ocean circulation in ocean reanalysis and evaluation in CMIP6 climate models
    Deepika, P. Bhanu
    Mohan, Soumya
    Srinivas, G.
    DYNAMICS OF ATMOSPHERES AND OCEANS, 2024, 106
  • [18] Assessment of the potential of CMIP6 models in simulating the sea surface temperature variability over the tropical Indian Ocean
    Biswarup Bhattacharya
    Sachiko Mohanty
    Charu Singh
    Theoretical and Applied Climatology, 2022, 148 : 585 - 602
  • [19] Evolution of the Indian summer monsoon rainfall simulations from CMIP3 to CMIP6 models
    B. Abida Choudhury
    P. V. Rajesh
    Yasmin Zahan
    B. N. Goswami
    Climate Dynamics, 2022, 58 : 2637 - 2662
  • [20] Assessment of the potential of CMIP6 models in simulating the sea surface temperature variability over the tropical Indian Ocean
    Bhattacharya, Biswarup
    Mohanty, Sachiko
    Singh, Charu
    THEORETICAL AND APPLIED CLIMATOLOGY, 2022, 148 (1-2) : 585 - 602