dc.contributor.author |
Engelbrecht, FA
|
|
dc.contributor.author |
Landman, WA
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|
dc.contributor.author |
Engelbrecht, CJ
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|
dc.contributor.author |
Landman, S
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|
dc.contributor.author |
Bopape, Mary-Jane M
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|
dc.contributor.author |
Roux, B
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dc.contributor.author |
McGregor, JL
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|
dc.date.accessioned |
2012-04-13T16:03:15Z |
|
dc.date.available |
2012-04-13T16:03:15Z |
|
dc.date.issued |
2011-12 |
|
dc.identifier.citation |
Engelbrecht, F.A., Landman, W.A., Engelbrecht, C.J., Landman, S., Bopape, M.M., Roux, B. and McGregor, J.L. 2011. Multi-scale climate modelling over Southern Africa using a variable-resolution global model. WaterSA, vol. 37(5), pp 647-658 |
en_US |
dc.identifier.issn |
0378-4738 |
|
dc.identifier.issn |
1816-7950 |
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dc.identifier.uri |
http://www.wrc.org.za/Pages/DisplayItem.aspx?ItemID=9247&FromURL=%2FPages%2FKH_WaterSA.aspx%3F
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|
dc.identifier.uri |
http://hdl.handle.net/10204/5759
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|
dc.description |
Copyright: 2011 Water Research Commission |
en_US |
dc.description.abstract |
Evidence is provided of the successful application of a single atmospheric model code at time scales ranging from short-range weather forecasting through to projections of future climate change, and at spatial scales that vary from relatively low-resolution global simulations, to ultra-high resolution simulations at the micro-scale. The model used for these experiments is a variable-resolution global atmospheric model, the conformal-cubic atmospheric model (CCAM). It is shown that CCAM may be used to obtain plausible projections of future climate change, as well as skilful forecasts at the seasonal and short-range time scales, over the Southern African region. The model is additionally applied for extended simulations of present-day climate at spatial scales ranging from global simulations at relatively low horizontal resolution, to the micro-scale at ultra-high (1 km) resolution. Applying the atmospheric model at the shorter time scales provides the opportunity to test its physical parameterisation schemes and its response to fundamental forcing mechanisms (e.g. ENSO). The existing skill levels at the shorter time scales enhance the confidence in the model projections of future climate change, whilst the related verification studies indicate opportunities for future model improvement. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Water Research Commission |
en_US |
dc.relation.ispartofseries |
Workflow;8589 |
|
dc.subject |
Multi-scale climate modelling |
en_US |
dc.subject |
Variable-resolution atmospheric model |
en_US |
dc.title |
Multi-scale climate modelling over Southern Africa using a variable-resolution global model |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Engelbrecht, F., Landman, W., Engelbrecht, C., Landman, S., Bopape, M. M., Roux, B., & McGregor, J. (2011). Multi-scale climate modelling over Southern Africa using a variable-resolution global model. http://hdl.handle.net/10204/5759 |
en_ZA |
dc.identifier.chicagocitation |
Engelbrecht, FA, WA Landman, CJ Engelbrecht, S Landman, Mary-Jane M Bopape, B Roux, and JL McGregor "Multi-scale climate modelling over Southern Africa using a variable-resolution global model." (2011) http://hdl.handle.net/10204/5759 |
en_ZA |
dc.identifier.vancouvercitation |
Engelbrecht F, Landman W, Engelbrecht C, Landman S, Bopape MM, Roux B, et al. Multi-scale climate modelling over Southern Africa using a variable-resolution global model. 2011; http://hdl.handle.net/10204/5759. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Engelbrecht, FA
AU - Landman, WA
AU - Engelbrecht, CJ
AU - Landman, S
AU - Bopape, Mary-Jane M
AU - Roux, B
AU - McGregor, JL
AB - Evidence is provided of the successful application of a single atmospheric model code at time scales ranging from short-range weather forecasting through to projections of future climate change, and at spatial scales that vary from relatively low-resolution global simulations, to ultra-high resolution simulations at the micro-scale. The model used for these experiments is a variable-resolution global atmospheric model, the conformal-cubic atmospheric model (CCAM). It is shown that CCAM may be used to obtain plausible projections of future climate change, as well as skilful forecasts at the seasonal and short-range time scales, over the Southern African region. The model is additionally applied for extended simulations of present-day climate at spatial scales ranging from global simulations at relatively low horizontal resolution, to the micro-scale at ultra-high (1 km) resolution. Applying the atmospheric model at the shorter time scales provides the opportunity to test its physical parameterisation schemes and its response to fundamental forcing mechanisms (e.g. ENSO). The existing skill levels at the shorter time scales enhance the confidence in the model projections of future climate change, whilst the related verification studies indicate opportunities for future model improvement.
DA - 2011-12
DB - ResearchSpace
DP - CSIR
KW - Multi-scale climate modelling
KW - Variable-resolution atmospheric model
LK - https://researchspace.csir.co.za
PY - 2011
SM - 0378-4738
SM - 1816-7950
T1 - Multi-scale climate modelling over Southern Africa using a variable-resolution global model
TI - Multi-scale climate modelling over Southern Africa using a variable-resolution global model
UR - http://hdl.handle.net/10204/5759
ER -
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en_ZA |