2018
DOI: 10.1080/07011784.2018.1537812
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CMIP5 drought projections in Canada based on the Standardized Precipitation Evapotranspiration Index

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Cited by 61 publications
(40 citation statements)
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“…A comprehensive Canada wide drought study assessed changes in the SPEI using outputs from 29 CMIP5 models (Tam et al, 2018). In agreement with Fig.…”
Section: Droughtsupporting
confidence: 73%
See 1 more Smart Citation
“…A comprehensive Canada wide drought study assessed changes in the SPEI using outputs from 29 CMIP5 models (Tam et al, 2018). In agreement with Fig.…”
Section: Droughtsupporting
confidence: 73%
“…On annual scales, a dry-south-wet-north pattern characterizes projected drought changes over the CCRN domain (see Fig. 12b for drying over the south) (Tam et al, 2018). This pattern is largely accounted for by the combined results of projected dry conditions during the summer and autumn over southern regions, and the projected wet conditions during winter and spring over the northern and coastal regions of Canada.…”
Section: Droughtmentioning
confidence: 97%
“…Near-and far-future changes (relative to 1986-2005) in water supply were also assessed using gridded annual and summer SPEI; a measure of longer-term moisture deficit or surplus calculated as the difference between precipitation and potential evapotranspiration. These data, incorporated in a Canada-wide drought study by Tam et al (2018), were calculated using bias-corrected temperature and precipitation from 29 CMIP5 GCMs for the period 1900-2100 based on a low (RCP2.6) and high (RCP8.5) emission scenario. Data from each GCM were regridded to a common 1°× 1°grid, which were then used to calculate multi-model median SPEI changes.…”
Section: Western Canadian Study Areamentioning
confidence: 99%
“…SPEI is a drought index based on precipitation and PET, which combines the multi-scale convenience of time and temperature effects for drought assessment, and it is considered to be more suitable for drought monitoring and analysis under climate change [20][21][22][23][24][25][26]. In this study, SPEI was applied to describe the variations in the dry and wet conditions of the Poyang Lake basin, and further comparison was conducted with two types of SPEI based on two sets of PET data calculated by TH and PM formulas.…”
Section: Spei Calculationmentioning
confidence: 99%
“…In order to comprehensively consider the effects of precipitation, evapotranspiration, and to assess the dry-wet variations reasonably on multi-time scales, a standard precipitation evapotranspiration index (SPEI) was recently proposed by Vicente-Serrano et al [15,20]. Frequently used by researchers in dissecting the spatiotemporal characteristics and changing tendency in different regions, SPEI has been proven to be more effective to represent wetness and dryness under the background of global climate change [13,14,[21][22][23][24][25][26].…”
Section: Introductionmentioning
confidence: 99%