On the use of a regression model for trend estimates from ground-based atmospheric observations in the Southern hemisphere

Abstract

The present reports on the use of a multi-regression model adapted at Reunion University for temperature and ozone trend estimates. Depending on the location of the observing site, the studied geophysical signal is broken down in form of a sum of forcings that explain most of its variability. The trend values are then derived from the residual terms as linear function. The paper discusses different case studies by using different parameterisation, and reports on retrievals of temperature and ozone trend estimates over different sites in the southern hemisphere: South Africa (Durban and Upinhton), Reunion Island and Argentian (Buenos-Aires)