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)
Reference:
Bencherif, H, Begue, NM, Diab, CR et al. 2010. On the use of a regression model for trend estimates from ground-based atmospheric observations in the Southern hemisphere. 26th Annual conference of the South African Society for Atmosphere Science. Gariep Dam, Free State, South Africa, 20-22 September 2010, pp 7-8
Bencherif, H., Begue, N., Diab, C., Sivakumar, V., & Keckhut, P. (2010). On the use of a regression model for trend estimates from ground-based atmospheric observations in the Southern hemisphere. South African Society for Atmospheric Sciences. http://hdl.handle.net/10204/4560
Bencherif, H, NM Begue, CR Diab, V Sivakumar, and P Keckhut. "On the use of a regression model for trend estimates from ground-based atmospheric observations in the Southern hemisphere." (2010): http://hdl.handle.net/10204/4560
Bencherif H, Begue N, Diab C, Sivakumar V, Keckhut P, On the use of a regression model for trend estimates from ground-based atmospheric observations in the Southern hemisphere; South African Society for Atmospheric Sciences; 2010. http://hdl.handle.net/10204/4560 .
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