Dynamic-balanced global tropical cyclone removal dataset and tropical cyclone impacts on the global climate mean field and variability

Using dynamic-balanced data in which tropical cyclones (TCs) are removed by the potential vorticity inversion technique, Arakane and Hsu (2021) showed that TCs significantly modulated the long-term mean state of the summer monsoon in the western North Pacific (WNP), and increased its intraseasonal variability by 50% to 70%. In order to investigate the TC impact on the global climate field, not just over the WNP, we have newly created TC removal data in which all TCs in all ocean basins are removed, rather than limiting it to TCs over the WNP region as in the previous version. In the process, improvements were also made to the potential vorticity inversion formulation to make it more suitable for removing TCs. In this presentation, we will report on the details of creating this new TC-removed data, and TC impacts on the mean fields and variability of global climate as revealed by the analysis using this data.