| 来源类型 | Monograph (IIASA Working Paper) |
| 规范类型 | 论文 |
| Narrowing Uncertainty of Projections of the Global Economy-Climate System Dynamics via Mutually Compatible Integration within Multi-Model Ensembles. | |
| Kovalevskiy D; Shchiptsova A; Rovenskaya E; Hasselmann K | |
| 发表日期 | 2016 |
| 出版者 | IIASA, Laxenburg, Austria: WP-16-015 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | Any model used to derive projections of future climate or assess its impact constitutes a particular simplification of reality. To date, no model building process can guarantee full “objectivity” in the choice of model assumptions and parameterization. In this connection, researchers have introduced a number of stylized integrated assessment models, which attempt to represent the full time-dynamic non-linear causal loop between accumulated emissions, economy and climate, yet in a aggregated, simplified fashion to enable extensive uncertainty analysis with respect to both structural and parametric uncertainty. |
| 主题 | Advanced Systems Analysis (ASA) |
| URL | http://pure.iiasa.ac.at/id/eprint/14470/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/126059 |
| 推荐引用方式 GB/T 7714 | Kovalevskiy D,Shchiptsova A,Rovenskaya E,et al. Narrowing Uncertainty of Projections of the Global Economy-Climate System Dynamics via Mutually Compatible Integration within Multi-Model Ensembles.. 2016. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| WP-16-015.pdf（696KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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