DOI: 10.1002/joc.5512
论文题名: Statistics of multi-year droughts from the method for object-based diagnostic evaluation
作者: Abatan A.A. ; Gutowski W.J. ; Jr. ; Ammann C.M. ; Kaatz L. ; Brown B.G. ; Buja L. ; Bullock R. ; Fowler T. ; Gilleland E. ; Halley Gotway J.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 8 起始页码: 3405
结束页码: 3420
语种: 英语
英文关键词: Denver Water
; drought objects
; MODE
; SPEI
; SPI
; UCRB
Scopus关键词: Global warming
; Colorado River Basin
; Denver Water
; Maximum temperature
; MODE
; Orientation angles
; SPEI
; Standardized precipitation index
; UCRB
; Drought
; drought
; evapotranspiration
; precipitation (climatology)
; statistical analysis
; warming
; Colorado Basin [North America]
英文摘要: This study uses the method for object-based diagnostic evaluation (MODE) technique to examine and compare the statistics of drought attributes over the upper Colorado River basin (UCRB). The drought objects are based on the standardized precipitation index (SPI) and the standardized precipitation evapotranspiration index (SPEI) on a 36-month timescale (SPI36 and SPEI36, respectively). The drought indicators are calculated using monthly precipitation as well as minimum and maximum temperatures from the Precipitation–Elevation Regression on Independent Slopes Model data sets from 1948 to 2012. MODE uses paired object attributes such as centroid distance, orientation angle, area ratio, and intersection area and a combination of parameter thresholds to determine the number of objects identified and retained in the merging and matching process in the two fields. Using MODE run with convolution radius of zero (no smoothing) and an area threshold of four grid points, this study computes and analyses object statistics including centroid locations, areas, and intensity percentiles. Results of the analysis show that SPI36 produces more drought objects than SPEI36. Although the spatial patterns are roughly similar leading up to almost similar statistics of object attributes, such as locations of the object centroids, the SPI36 produces higher percentile intensity of drought objects than does SPEI36, which is clearly obvious in the 90th percentile intensity of drought objects. The largest difference between SPEI36 and SPI36 occurs in the area of drought objects during the early 2000s when the region experienced multi-year drought resulting from increased warming of the atmosphere. This study demonstrates the use of MODE as a tool to evaluate and monitor drought event over the UCRB. © 2018 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116854
Appears in Collections: 气候减缓与适应
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作者单位: Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA, United States; Department of Meteorology and Climate Science, Federal University of Technology, Akure, Nigeria; Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, United States; Denver Water, Denver, CO, United States
Recommended Citation:
Abatan A.A.,Gutowski W.J.,Jr.,et al. Statistics of multi-year droughts from the method for object-based diagnostic evaluation[J]. International Journal of Climatology,2018-01-01,38(8)