| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1007/s10287-018-0339-4 |
| Large scale extreme risk assessment using copulas: an application to drought events under climate change for Austria. | |
| Hochrainer-Stigler S; Silm K; Timonina-Farkas A | |
| 发表日期 | 2018 |
| 出处 | Computational Management Science |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | Droughts pose a significant challenge to farmers, insurers as well as governments around the world and the situation is expected to worsen in the future due to climate change. We present a large scale drought risk assessment approach that can be used for current and future risk management purposes. Our suggested methodology is a combination of a large scale agricultural computational modelling -, extreme value-, as well as copula approach to upscale local crop yield risks to the national scale. We show that combining regional probabilistic estimates will significantly underestimate losses if the dependencies between regions during drought events are not taken explicitly into account. Among the many ways to use these results it is shown how it enables the assessment of current and future costs of subsidized drought insurance in Austria. |
| 主题 | Ecosystems Services and Management (ESM) ; Risk & ; Resilience (RISK) |
| URL | http://pure.iiasa.ac.at/id/eprint/15647/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131292 |
| 推荐引用方式 GB/T 7714 | Hochrainer-Stigler S,Silm K,Timonina-Farkas A. Large scale extreme risk assessment using copulas: an application to drought events under climate change for Austria.. 2018. |
| 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 | ||
| Hochrainer-Stigler20（1247KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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