Climate analogues: Finding tomorrow’s agriculture today
The analogues approach, developed by CCAFS in R programming, is a novel way of supporting climate and crop models with on-the-ground empirical testing. In essence, the analogues tool connects sites with statistically similar (‘analogous’) climates, across space (i.e. between locations) and/or...
| Autores principales: | , , , , , , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
CGIAR Research Program on Climate Change, Agriculture and Food Security
2011
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| Acceso en línea: | https://hdl.handle.net/10568/16420 |
| _version_ | 1855516417719271424 |
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| author | Ramírez Villegas, Julián Armando Lau, Charlotte Köhler, Ann-Kristin Jarvis, Andy Arnell, N.P. Osborne, Tom M. Hooker, Josh |
| author_browse | Arnell, N.P. Hooker, Josh Jarvis, Andy Köhler, Ann-Kristin Lau, Charlotte Osborne, Tom M. Ramírez Villegas, Julián Armando |
| author_facet | Ramírez Villegas, Julián Armando Lau, Charlotte Köhler, Ann-Kristin Jarvis, Andy Arnell, N.P. Osborne, Tom M. Hooker, Josh |
| author_sort | Ramírez Villegas, Julián Armando |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The analogues approach, developed by CCAFS in R programming, is a novel way of supporting
climate and crop models with on-the-ground empirical testing. In essence, the analogues tool
connects sites with statistically similar (‘analogous’) climates, across space (i.e. between
locations) and/or time (i.e. with past or future climates). A CCAFS dissimilarity index or
Hallegatte index can be used to systematically identify climate analogues across the world, for
certain regions, or among specific locations. Users may use default criteria or choose from a
variety of global climate models (GCMs), scenarios, and input data. Once analogue sites are
identified, information gathered from local field studies or databases can be used and compared
to provide data for further studies, propose high-potential adaptation pathways, facilitate
farmer-to-farmer exchange of knowledge, validate computational models, test new technologies
and/or techniques, or enable us to learn from history. Users may manipulate the tool in the free,
open-source R software, or access a simplified user-friendly version online. |
| format | Artículo preliminar |
| id | CGSpace16420 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2011 |
| publishDateRange | 2011 |
| publishDateSort | 2011 |
| publisher | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| publisherStr | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| record_format | dspace |
| spelling | CGSpace164202025-11-05T17:13:59Z Climate analogues: Finding tomorrow’s agriculture today Ramírez Villegas, Julián Armando Lau, Charlotte Köhler, Ann-Kristin Jarvis, Andy Arnell, N.P. Osborne, Tom M. Hooker, Josh climate The analogues approach, developed by CCAFS in R programming, is a novel way of supporting climate and crop models with on-the-ground empirical testing. In essence, the analogues tool connects sites with statistically similar (‘analogous’) climates, across space (i.e. between locations) and/or time (i.e. with past or future climates). A CCAFS dissimilarity index or Hallegatte index can be used to systematically identify climate analogues across the world, for certain regions, or among specific locations. Users may use default criteria or choose from a variety of global climate models (GCMs), scenarios, and input data. Once analogue sites are identified, information gathered from local field studies or databases can be used and compared to provide data for further studies, propose high-potential adaptation pathways, facilitate farmer-to-farmer exchange of knowledge, validate computational models, test new technologies and/or techniques, or enable us to learn from history. Users may manipulate the tool in the free, open-source R software, or access a simplified user-friendly version online. 2011-12-08 2012-02-03T08:42:10Z 2012-02-03T08:42:10Z Working Paper https://hdl.handle.net/10568/16420 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security Ramírez-Villegas J, Lau C., Köhler, A-K, Signer J, Jarvis A, Arnell N, Osborne T, Hooker J. 2011. Climate analogues: Finding tomorrow’s agriculture today. Working Paper 12. Copenhagen, Denmark: CCAFS. |
| spellingShingle | climate Ramírez Villegas, Julián Armando Lau, Charlotte Köhler, Ann-Kristin Jarvis, Andy Arnell, N.P. Osborne, Tom M. Hooker, Josh Climate analogues: Finding tomorrow’s agriculture today |
| title | Climate analogues: Finding tomorrow’s agriculture today |
| title_full | Climate analogues: Finding tomorrow’s agriculture today |
| title_fullStr | Climate analogues: Finding tomorrow’s agriculture today |
| title_full_unstemmed | Climate analogues: Finding tomorrow’s agriculture today |
| title_short | Climate analogues: Finding tomorrow’s agriculture today |
| title_sort | climate analogues finding tomorrow s agriculture today |
| topic | climate |
| url | https://hdl.handle.net/10568/16420 |
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