dc.contributor.author |
Landman, Willem Adolf
|
|
dc.contributor.author |
Barnston, Anthony G.
|
|
dc.contributor.author |
Vogel, Coleen
|
|
dc.date.accessioned |
2020-02-26T10:48:03Z |
|
dc.date.issued |
2019-11 |
|
dc.description.abstract |
Some of the biggest emerging market economies include countries in South America, Asia and Africa. Broad‐scale political and developmental similarities (e.g., societally impactful developmental challenges related to climate variability) offer opportunities for comparative research resulting in potentially improved understanding of the complexities of various climate adaptation interventions including disaster risk reduction. Countries or geographical regions of the world significantly affected by climate extremes may consider collaboration on issues such as understanding and modelling of the climate system, especially when there is a common, dominant and somewhat plausible climate mode such as the El Niño–Southern Oscillation (ENSO) affecting the regions' climate variability. Better ENSO and subsequent climate predictions alone, however, are not enough to reduce the risks associated with such events. The socio‐economic and political context in which climate finds expression and in which climate forecasts have potential value also need to be understood. Here we present seasonal precipitation forecast skill over 20 geographical regions including emerging or developing regions, but also a few developed regions, in order to rank their ENSO‐related seasonal rainfall predictability in an attempt to cluster regions of similar ENSO climate predictability. We then also provide some of the broad contours to investigate the level of human “development” within these clusters in order to begin to understand some of the socio‐economic factors that configure vulnerabilities. Such profiles begin to show some areas of macro‐level vulnerability that may then provide further possible inter‐area collaborations, albeit at very gross level scales. |
en_ZA |
dc.description.department |
Geography, Geoinformatics and Meteorology |
en_ZA |
dc.description.embargo |
2020-11-30 |
|
dc.description.librarian |
hj2020 |
en_ZA |
dc.description.sponsorship |
The National Research Foundation of
South Africa, Grant/Award Number: 114689. |
en_ZA |
dc.description.uri |
http://wileyonlinelibrary.com/journal/joc |
en_ZA |
dc.identifier.citation |
Landman WA, Barnston AG, Vogel C, Savy J. Use of El Niño–Southern Oscillation related seasonal precipitation predictability in developing regions for potential societal benefit. Int J Climatol. 2019;39:5327–5337. https://doi.org/10.1002/joc.6157. |
en_ZA |
dc.identifier.issn |
0899-8418 (print) |
|
dc.identifier.issn |
1097-0088 (online) |
|
dc.identifier.other |
10.1002/joc.6157 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/73563 |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
Wiley |
en_ZA |
dc.rights |
© 2019 Royal Meteorological Society. This is the pre-peer reviewed version of the following article : Use of El Niño–Southern Oscillation related seasonal precipitation predictability in developing regions for potential societal benefit. Int J Climatol. 2019;39:5327–5337. https://doi.org/10.1002/joc.6157.
which has been published in final form at : http://wileyonlinelibrary.com/journal/joc. |
en_ZA |
dc.subject |
El Niño–Southern Oscillation (ENSO) |
en_ZA |
dc.subject |
Collaboration |
en_ZA |
dc.subject |
Emerging economies |
en_ZA |
dc.subject |
Human development |
en_ZA |
dc.subject |
Seasonal climate modelling |
en_ZA |
dc.subject |
Skill |
en_ZA |
dc.title |
Use of El Niño–Southern Oscillation related seasonal precipitation predictability in developing regions for potential societal benefit |
en_ZA |
dc.type |
Postprint Article |
en_ZA |