Abstract
The simulation and prediction of the Indian summer monsoon (ISM) and its intraseasonal component in climate models remain a grand scientific challenge for numerical simulations. Recently, an intraseasonal mode was proposed over the tropical Indian Ocean, named central Indian Ocean (CIO) mode. The CIO mode index and the monsoon intraseasonal oscillations (MISO) have a high correlation. In this study, the simulations of the CIO mode in the sixth phase of the Coupled Model Intercomparison Project (CMIP6) models are examined. Although the coupled ocean–atmosphere feedbacks associated with the CIO mode are not fully reproduced, the results show that a better depiction of the CIO mode in CMIP6 models is favorable for a better simulation of northward-propagating MISO and heavy rainfall during the ISM. Dynamic diagnostics unveil that the rendition of the CIO mode is dominated by kinetic energy conversion from the background to the intraseasonal variability. Furthermore, kinetic energy conversion is controlled by the meridional shear of background zonal winds (\(\frac{\partial \overline{u}}{\partial y }\)), which is underestimated in most CMIP6 models, leading to a weak barotropic instability. As a result, a better simulation of \(\frac{\partial \overline{u}}{\partial y }\) is required for improving the CIO mode simulation in climate models, which helps to improve the simulation and prediction skill of northward-propagating MISO and monsoonal precipitation.
Highlights
The Indian summer monsoon (ISM) precipitation has tremendous scientific and socioeconomic significance, which contributes about 80% of the total annual precipitation over the Indian subcontinent (Bollasina, 2014) and has a substantial influence on agricultural and industrial productions
The coupled ocean-atmosphere feedbacks associated with the central Indian Ocean (CIO) mode are not fully reproduced, the results show that a better depiction of the CIO mode in CMIP6 models is favorable for a better simulation of northward-propagating monsoon intraseasonal oscillations (MISO) and heavy rainfall during the ISM
Ocean warm pool exists along the equator from the central to the eastern Indian Ocean, but they are underestimated in CMIP6 models
Summary
The Indian summer monsoon (ISM) precipitation has tremendous scientific and socioeconomic significance, which contributes about 80% of the total annual precipitation over the Indian subcontinent (Bollasina, 2014) and has a substantial influence on agricultural and industrial productions. Most of the S2S airsea coupled models can reproduce the CIO mode on initial days, the simulations of the CIO mode become deficient rapidly as the lead time for forecast increases Such biases in the CIO mode simulation are mainly attributed to the weak meridional shear of the low-frequency zonal winds (a low-pass filter of 100 days) in the above climate models, which reduces the barotropic kinetic energy conversion from the background state to intraseasonal variabilities. The intercomparisons among different CMIP6 models help to promote the process understandings of the CIO mode and are expected to improve the simulations of MISO and monsoonal precipitation. This is the motivation for this paper.
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