A rise in subweekly temperature variability over Southern Hemisphere landmasses detected in multiple reanalyses

Abstract. The inter-dataset agreement of trends in subweekly near-surface (850 hPa) temperature variability over Southern Hemisphere midlatitude land masses is assessed among twelve global atmospheric reanalysis datasets. First, a comparison of the climatological temperature variance and dominant sources and sinks of variance reveals that, except for NCEP-NCAR (R1) and NCEP-DOE (R2), there is a relatively good agreement for both their magnitudes and spatial distributions over the satellite era (1980–2022), which indicates that the key features of subweekly variability are sufficiently well represented. Concerning trends, there is a good agreement for the positive trends in subweekly variability over the satellite era affecting South Africa in September-October-November (SON) and Southern America in December-January-February (DJF). Although most reanalyses agree concerning the positive trend affecting Australia in SON, it has not yet emerged from the noise associated with interannual variability when considering only the satellite era. It is significant, however, when the period is extended (1954–2022) or the most recent decades (1990–2022). The trends are explained primarily by a more efficient generation of subweekly temperature variance by horizontal temperature advection. This generation is also identified as a source of bias among the datasets. The trends are found to be reproduced even in those reanalyses that do not assimilate satellite data (JRA-55C) or that assimilate surface observations only (ERA-20C, 20CRv2c, and 20CRv3).