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Downscaled climate change projections over northeastern South Africa: Implications for streamflow

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dc.contributor.author Mkhwanazi, M
dc.contributor.author Landman, WA
dc.contributor.author Engelbrecht, FA
dc.contributor.author Olivier, C
dc.date.accessioned 2016-05-16T09:41:18Z
dc.date.available 2016-05-16T09:41:18Z
dc.date.issued 2015-09
dc.identifier.citation Mkhwanazi, M, Landman, WA, Engelbrecht, FA and Olivier, C. 2015. Downscaled climate change projections over Northeastern South Africa: Implications for streamflow. 31st Conference of the South African Society for Atmospheric Science: Applying the weather, Hennops River Valley, Centurion, South Africa, 21-22 September 2015 en_US
dc.identifier.isbn 978-0-620-67825-4
dc.identifier.uri http://hdl.handle.net/10204/8525
dc.description 31st Conference of the South African Society for Atmospheric Science: Applying the weather, Hennops River Valley, Centurion, South Africa, 21-22 September 2015. en_US
dc.description.abstract The study assesses the impacts of anthropogenic forcing on seasonal streamflows over northeastern South Africa by using both dynamically and statistically downscaled multi-decadal climate change projections. The statistical model approach is to build linear links between observed present-day climate of flows and mid-tropospheric atmospheric circulation and then use the developed relationships to provide guidance on future-climate streamflows. Both CCAM raw runoff (as a proxy for streamflows) and statistically downscaled streamflows indicate a decreasing trend over northeastern South Africa. Statistical analysis on simulated data is done based on four 30-year periods (1981-2010, 2011-2040, 2041-2070, 2071-2100) from which parametric distributions are calculated and interpreted. en_US
dc.language.iso en en_US
dc.publisher SASAS en_US
dc.relation.ispartofseries Workflow;15725
dc.subject Streamflow en_US
dc.subject Perfect prognosis en_US
dc.subject Climate change en_US
dc.subject Statistical downscaling en_US
dc.title Downscaled climate change projections over northeastern South Africa: Implications for streamflow en_US
dc.type Other Material en_US
dc.identifier.apacitation Mkhwanazi, M., Landman, W., Engelbrecht, F., & Olivier, C. 2015. <i>Downscaled climate change projections over northeastern South Africa: Implications for streamflow.</i> http://hdl.handle.net/10204/8525 en_ZA
dc.identifier.chicagocitation Mkhwanazi, M, WA Landman, FA Engelbrecht, and C Olivier. 2015. <i>Downscaled climate change projections over northeastern South Africa: Implications for streamflow.</i> http://hdl.handle.net/10204/8525 en_ZA
dc.identifier.vancouvercitation Mkhwanazi M, Landman W, Engelbrecht F, Olivier C. 2015. <i>Downscaled climate change projections over northeastern South Africa: Implications for streamflow.</i> http://hdl.handle.net/10204/8525 en_ZA
dc.identifier.ris TY - Other Material AU - Mkhwanazi, M AU - Landman, WA AU - Engelbrecht, FA AU - Olivier, C AB - The study assesses the impacts of anthropogenic forcing on seasonal streamflows over northeastern South Africa by using both dynamically and statistically downscaled multi-decadal climate change projections. The statistical model approach is to build linear links between observed present-day climate of flows and mid-tropospheric atmospheric circulation and then use the developed relationships to provide guidance on future-climate streamflows. Both CCAM raw runoff (as a proxy for streamflows) and statistically downscaled streamflows indicate a decreasing trend over northeastern South Africa. Statistical analysis on simulated data is done based on four 30-year periods (1981-2010, 2011-2040, 2041-2070, 2071-2100) from which parametric distributions are calculated and interpreted. DA - 2015-09 DB - ResearchSpace DP - CSIR KW - Streamflow KW - Perfect prognosis KW - Climate change KW - Statistical downscaling LK - https://researchspace.csir.co.za PY - 2015 SM - 978-0-620-67825-4 T1 - Downscaled climate change projections over northeastern South Africa: Implications for streamflow TI - Downscaled climate change projections over northeastern South Africa: Implications for streamflow UR - http://hdl.handle.net/10204/8525 ER - en_ZA


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