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

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dc.contributor.author Bencherif, H
dc.contributor.author Begue, NM
dc.contributor.author Diab, CR
dc.contributor.author Sivakumar, V
dc.contributor.author Keckhut, P
dc.date.accessioned 2010-11-17T12:25:19Z
dc.date.available 2010-11-17T12:25:19Z
dc.date.issued 2010-09
dc.identifier.citation 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 en
dc.identifier.isbn 978-0-620-47333-0
dc.identifier.uri http://hdl.handle.net/10204/4560
dc.description 26th Annual conference of the South African Society for Atmosphere Science. Gariep Dam, Free State, South Africa, 20-22 September 2010 en
dc.description.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) en
dc.language.iso en en
dc.publisher South African Society for Atmospheric Sciences en
dc.relation.ispartofseries Conference Paper en
dc.subject Atmosphere science en
dc.subject Climate change en
dc.subject Weather en
dc.subject Water scarcity en
dc.subject SASAS 2010 en
dc.title On the use of a regression model for trend estimates from ground-based atmospheric observations in the Southern hemisphere en
dc.type Conference Presentation en
dc.identifier.apacitation 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 en_ZA
dc.identifier.chicagocitation 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 en_ZA
dc.identifier.vancouvercitation 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 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Bencherif, H AU - Begue, NM AU - Diab, CR AU - Sivakumar, V AU - Keckhut, P AB - 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) DA - 2010-09 DB - ResearchSpace DP - CSIR KW - Atmosphere science KW - Climate change KW - Weather KW - Water scarcity KW - SASAS 2010 LK - https://researchspace.csir.co.za PY - 2010 SM - 978-0-620-47333-0 T1 - On the use of a regression model for trend estimates from ground-based atmospheric observations in the Southern hemisphere TI - On the use of a regression model for trend estimates from ground-based atmospheric observations in the Southern hemisphere UR - http://hdl.handle.net/10204/4560 ER - en_ZA


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