| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1002/2016GL071768 |
| Spatiotemporal Dynamics of Global Drought. | |
| Herrera-Estrada JE; Satoh Y; Sheffield J | |
| 发表日期 | 2017 |
| 出处 | Geophysical Research Letters 44 (5): 1-25 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | Understanding the evolution and physical drivers of drought is critical to informing forecasting efforts. One aspect that has seldom been explored is the joint evolution of droughts in space and time. Most studies fix the reference area and focus on their temporal variability, or study their spatial heterogeneity over fixed durations. This work implements a Lagrangian approach by aggregating contiguous areas under drought into clusters. These clusters become the frame of reference and are tracked as they evolve through space and time. Clusters were identified from soil moisture data from the Climate Forecast System Reanalysis (1979-2009). Evapotranspiration, moisture fluxes, and precipitation were used to explore the relevance of possible mechanisms of drought propagation. While most droughts remain near their origin, the centroid of 10% of clusters traveled at least 1,400-3,100 km, depending on the continent. This approach also revealed that large-scale droughts often lock into further growth and intensification. |
| 主题 | Water (WAT) |
| URL | http://pure.iiasa.ac.at/id/eprint/14387/ |
| 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/130920 |
| 推荐引用方式 GB/T 7714 | Herrera-Estrada JE,Satoh Y,Sheffield J. Spatiotemporal Dynamics of Global Drought.. 2017. |
| 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 | ||
| grl55582.pdf（1282KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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