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DOI | 10.5194/hess-24-2921-2020 |
Comparing Palmer Drought Severity Index drought assessments using the traditional offline approach with direct climate model outputs | |
Yang Y.; Zhang S.; Roderick M.L.; McVicar T.R.; Yang D.; Liu W.; Li X. | |
发表日期 | 2020 |
ISSN | 1027-5606 |
起始页码 | 2921 |
结束页码 | 2930 |
卷号 | 24期号:6 |
英文摘要 | Anthropogenic warming has been projected to increase global drought for the 21st century when calculated using traditional offline drought indices. However, this contradicts observations of the overall global greening and little systematic change in runoff over the past few decades and climate projections of future greening with slight increases in global runoff for the coming century. This calls into question the drought projections based on traditional offline drought indices. Here we calculate a widely used traditional drought index (i.e., the Palmer Drought Severity Index, PDSI) using direct outputs from 16 Coupled Model Intercomparison Project Phase 5 (CMIP5) models (PDSI_CMIP5) such that the hydrologic consistency between PDSI_CMIP5 and CMIP5 models is maintained. We find that the PDSI_CMIP5-depicted drought increases (in terms of drought severity, frequency, and extent) are much smaller than that reported when PDSI is calculated using the traditional offline approach that has been widely used in previous drought assessments under climate change. Further analyses indicate that the overestimation of PDSI drought increases reported previously using the PDSI is primarily due to ignoring the vegetation response to elevated atmospheric CO2 concentration ([CO2]) in the traditional offline calculations. Finally, we show that the overestimation of drought using the traditional PDSI approach can be minimized by accounting for the effect of CO2 on evapotranspiration. © 2020 Institute of Electrical and Electronics Engineers Inc.. All rights reserved. |
语种 | 英语 |
scopus关键词 | Carbon dioxide; Climate change; Drought; Runoff; Anthropogenic warming; Climate projection; Coupled Model Intercomparison Project; Drought severity; Off-line approaches; Palmer drought severity indices; Systematic changes; Vegetation response; Climate models; carbon dioxide; climate change; climate modeling; CMIP; concentration (composition); drought; environmental assessment; evapotranspiration; hydrological modeling; runoff; vegetation |
来源期刊 | Hydrology and Earth System Sciences
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/159385 |
作者单位 | Yang, Y., State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, China; Zhang, S., State Key Laboratory of Earth Surface Process and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, China; Roderick, M.L., Research School of Earth Sciences, Australian National University, Canberra, ACT, Australia, Australian Research Council Centre of Excellence for Climate Extremes, Canberra, ACT, Australia; McVicar, T.R., Australian Research Council Centre of Excellence for Climate Extremes, Canberra, ACT, Australia, CSIRO Land and Water, Canberra, ACT, Australia; Yang, D., State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, China; Liu, W., Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Li, X., S... |
推荐引用方式 GB/T 7714 | Yang Y.,Zhang S.,Roderick M.L.,et al. Comparing Palmer Drought Severity Index drought assessments using the traditional offline approach with direct climate model outputs[J],2020,24(6). |
APA | Yang Y..,Zhang S..,Roderick M.L..,McVicar T.R..,Yang D..,...&Li X..(2020).Comparing Palmer Drought Severity Index drought assessments using the traditional offline approach with direct climate model outputs.Hydrology and Earth System Sciences,24(6). |
MLA | Yang Y.,et al."Comparing Palmer Drought Severity Index drought assessments using the traditional offline approach with direct climate model outputs".Hydrology and Earth System Sciences 24.6(2020). |
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