| タイトル | Representative Agricultural Pathways and Scenarios for Regional Integrated Assessment of Climate Change Impacts, Vulnerability, and Adaptation |
| 本文（外部サイト） | http://hdl.handle.net/2060/20150009315 |
| 著者（英） | Nhemachena, Charles; Rosenzweig, Cynthia; Antle, John M.; Vervoort, Joost; Ponnusamy, Paramasivam; Hathie, Ibrahima; Rasnayaka, Herath; Mulwa, Richard; Ashfaq, Muhammad; Tui, Sabine Homann-Kee; Valdivia, Roberto O.; Ruane, Alexander C.; Singh, Harbir |
| 発行日 | 2015-01-01
2015 |
| 言語 | eng |
| 内容記述 | The global change research community has recognized that new pathway and scenario concepts are needed to implement impact and vulnerability assessment where precise prediction is not possible, and also that these scenarios need to be logically consistent across local, regional, and global scales. For global climate models, representative concentration pathways (RCPs) have been developed that provide a range of time-series of atmospheric greenhouse-gas concentrations into the future. For impact and vulnerability assessment, new socio-economic pathway and scenario concepts have also been developed, with leadership from the Integrated Assessment Modeling Consortium (IAMC).This chapter presents concepts and methods for development of regional representative agricultural pathways (RAOs) and scenarios that can be used for agricultural model intercomparison, improvement, and impact assessment in a manner consistent with the new global pathways and scenarios. The development of agriculture-specific pathways and scenarios is motivated by the need for a protocol-based approach to climate impact, vulnerability, and adaptation assessment. Until now, the various global and regional models used for agricultural-impact assessment have been implemented with individualized scenarios using various data and model structures, often without transparent documentation, public availability, and consistency across disciplines. These practices have reduced the credibility of assessments, and also hampered the advancement of the science through model intercomparison, improvement, and synthesis of model results across studies. The recognition of the need for better coordination among the agricultural modeling community, including the development of standard reference scenarios with adequate agriculture-specific detail led to the creation of the Agricultural Model Intercomparison and Improvement Project (AgMIP) in 2010. The development of RAPs is one of the cross-cutting themes in AgMIP's work plan, and has been the subject of ongoing work by AgMIP since its creation. |
| NASA分類 | Meteorology and Climatology |
| レポートNO | GSFC-E-DAA-TN23154 |
| 権利 | Copyright, Distribution as joint owner in the copyright |
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