EGU22-9751, updated on 28 Mar 2022
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

The subseasonal to seasoanl predictability of marine heatwave in Indian Ocean

Yue Yu
Yue Yu
  • Second Institute of Oceanography, State Key Laboratory of Satellite Ocean Environment Dynamics, China (

In recent decades, worldwide marine heat wave events have become stronger and more frequent. Especially in the Indian Ocean, where occurs the most significant sea surface temperature warming trend. We use observation and reanalysis data to extract the Indian Ocean marine heatwave events since 1981. And then analyzing the temporal and spatial characteristics of marine heatwave events through feature indicators. According to the different period of the development of the marine heatwave, the sources of predictability from the atmospheric and ocean circulation anomaly are revealed. Then five representative heat wave events will be selected, and multi-member ensemble hindcast with different lead times will be conducted for each event with CESM2 model. Based on the hindcast results, we evaluate the prediction skills for the Indian Ocean marine heatwaves. The capability of models to simulate the sub-seasonal to seasonal signals that affect the heat wave event will be examined eventually.

How to cite: Yu, Y.: The subseasonal to seasoanl predictability of marine heatwave in Indian Ocean, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9751,, 2022.