DOI: 10.1175/JCLI-D-17-0378.1
Scopus记录号: 2-s2.0-85040926565
论文题名: Evaluation of downscaled CMIP5 Coupled with VIC model for flash drought simulation in a humid subtropical basin, China
作者: Zhang Y. ; You Q. ; Chen C. ; Ge J. ; Adnan M.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 3 起始页码: 1075
结束页码: 1090
语种: 英语
英文关键词: Climate records
; Climate variability
; Drought
; Extreme events
; Hydrologic cycle
; Subtropics
Scopus关键词: Climate change
; Climate models
; Climatology
; Tropics
; Climate record
; Climate variability
; Extreme events
; Hydrologic cycles
; Subtropics
; Drought
; annual variation
; climate variation
; CMIP
; computer simulation
; drought
; extreme event
; heat wave
; hydrological cycle
; China
英文摘要: Compared to traditional drought events, flash droughts evolve rapidly during short-term extreme atmospheric conditions, with a lasting period of one pentad to several weeks. There are two main categories of flash droughts: the heat wave flash drought (HWFD), which is mainly caused by persistent high temperatures (heat waves), and the precipitation deficit flash drought (PDFD), which is mainly triggered by precipitation deficits. The authors' previous research focused on the characteristics and causes of flash drought based on meteorological observations and Variable Infiltration Capacity (VIC) model simulations in a humid subtropical basin (Gan River basin, China). In this study, the authors evaluated the downscaled phase 5 of the Coupled Model Intercomparison Project (CMIP5) models' simulations, coupled with the VIC model (CMIP5-VIC) in reproducing flash droughts in a humid subtropical basin in China. Most downscaled CMIP5-VIC simulations can reproduce the spatial patterns of flash droughts with respect to the benchmarks. The coupled models fail to readily replicate interannual variation (interannual pentad change), but most models can reflect the interannual variability (temporal standard deviation) and long-term average pentads of flash droughts. It is difficult to simultaneously depict both the spatial and temporal features of flash droughts within only one coupled model. The climatological patterns of the best multimodel ensemble mean are close to those of the all-model ensemble mean, but the best multimodel ensemble mean has a minimal bias range and relatively low computational burden. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111675
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Key Lab. of Meteorological Disaster, Ministry of Education, Nanjing Univ. of Information Sci., Tech., Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing, China; School of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing, China; State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
Recommended Citation:
Zhang Y.,You Q.,Chen C.,et al. Evaluation of downscaled CMIP5 Coupled with VIC model for flash drought simulation in a humid subtropical basin, China[J]. Journal of Climate,2018-01-01,31(3)