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| DOI | 10.1029/2023EF003629 |
| Assessment of the Global Relationship of Different Types of Droughts in Model Simulations Under High Anthropogenic Emissions | |
| 发表日期 | 2024 |
| EISSN | 2328-4277 |
| 起始页码 | 12 |
| 结束页码 | 4 |
| 卷号 | 12期号:4 |
| 英文摘要 | This study provides a global analysis of the relationship between drought metrics obtained from several climatic, hydrologic and ecological variables in a climate change framework using CMIP6 model data. A comprehensive analysis of the evolution of drought severity on a global scale is carried out for the historical experiment (1850-2014) and for future simulations under a high emissions scenario (SSP5-8.5). This study focuses on comparing trends in the magnitude and duration of drought events according to different standardized indices over the world land-surface area. The spatial and temporal relationship between the different drought indices on a global scale was also evaluated. Overall, there is a fairly large consensus among models and drought metrics in pointing to drought increase in southern North America, Central America, the Amazon region, the Mediterranean, southern Africa and southern Australia. Our results show important spatial differences in drought projections, which are highly dependent on the drought metric employed. While a strong relationship between climatic indices was evident, climatic and ecological drought metrics showed less dependency over both space and time. Importantly, our study demonstrates uncertainties in future projections of drought trends and their interannual variability related to the relationship among indices, stressing the importance of coherent climatic, hydrological and plant physiological patterns when analyzing CMIP6 model simulations of droughts under a warming climate scenario. Using climate change models, we perform a drought analysis in terms of climatic, hydrologic and ecological variables on a global scale, studying the projections under a high emission scenario. We analyze how drought events will evolve in the future with respect to their magnitude and duration, and if the different drought metrics agree in space and time. In general, models and metrics agree that there will be drought increase in southern North America, Central America, the Amazon region, the Mediterranean, southern Africa and southern Australia. However, results differ across the world and really depend on the metric used. We show that climatic indices are strongly connected with each other, but no so related to ecological ones. We also find that there are uncertainties in future projections of drought trends, highlighting that we should always take into account the spatial and temporal agreement between climatic, hydrological and plant physiological patterns when studying drought projections. Important differences in drought projections as a function of drought metrics The temporal relationship between the precipitation-based climatic metrics is high worldwide A weak relationship is found between climatic and ecological drought indices |
| 英文关键词 | climate change; drought projections; CMIP6 simulations; model uncertainty |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences |
| WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences |
| WOS记录号 | WOS:001205257700001 |
| 来源期刊 | EARTHS FUTURE
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/287291 |
| 作者单位 | Universidade de Vigo; Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Instituto Pirenaico de Ecologia (IPE); University of Zaragoza |
| 推荐引用方式 GB/T 7714 | . Assessment of the Global Relationship of Different Types of Droughts in Model Simulations Under High Anthropogenic Emissions[J],2024,12(4). |
| APA | (2024).Assessment of the Global Relationship of Different Types of Droughts in Model Simulations Under High Anthropogenic Emissions.EARTHS FUTURE,12(4). |
| MLA | "Assessment of the Global Relationship of Different Types of Droughts in Model Simulations Under High Anthropogenic Emissions".EARTHS FUTURE 12.4(2024). |
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