Observational analysis shows moisture flux variability in Australian climates, indicating changes in rainfall patterns ahead.
The variability of climate is assessed using the observational fifth generation of the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA5) for 1980–2019 and data from 35 Coupled Model Intercomparison Project Phase 6 (CMIP6) models for a suite of variables, including the vertically integrated horizontal moisture flux vector from 10 models. The standard deviation of the seasonal anomalies within the 40-year period is calculated for grid points and for rainfall averaged over Australian regions. The four-season average of standard deviation, denoted VAR, is a measure of overall variability. From ERA5, the average for grid points over Australia (AUS) is 4–11% higher than that from all land in 60°S–60°N (LAN) for each variable, except for flux and 850-hPa eastward wind, which are 31–41% higher. The variability linked to two mode indices, NINO34 and PID (Pacific–Indian Dipole), is quantified by the four-season average of the magnitude of the regression anomaly. For each index, the 35-model average (av35) of the linked variability averaged over AUS and LAN for rainfall, temperature and pressure is typically less than 30% of the net VAR. The statistics for 2040–2079 under the shared socioeconomic pathway with expected radiative forcing 5–8.5 W m−2 (SSP5-8.5) are scaled to provide a change representative of the 2°C global warming level. There is little change overall in VAR, except for moisture variables, with flux increasing typically 10%. From av35, for rainfall AUS increased 6% and LAN 9%, in part owing to an increase in the VAR of the NINO34 index of 14%. The PID index provides a stronger link to the range of model change of the variability of all-Australia rainfall, and hence the uncertainty in projected change.
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I. G. Watterson (2025) studied this question.
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