Intelligent systems
; Monte Carlo methods
; Snow
; Water supply
; Confidence interval
; Elevational gradients
; In-situ data
; O-conditions
; Reanalysis
; Return periods
; Sierra Nevada
; Snowpack
; Drought
; confidence interval
; data set
; drought
; El Nino
; Monte Carlo analysis
; simulation
; snowpack
; spatial distribution
; spatiotemporal analysis
; water supply
; California
; Sierra Nevada [California]
; United States
Department of Civil and Environmental Engineering, University of California, Los Angeles, CA, United States
Recommended Citation:
Margulis S.A.,Cortés G.,Girotto M.,et al. Characterizing the extreme 2015 snowpack deficit in the Sierra Nevada (USA) and the implications for drought recovery[J]. Geophysical Research Letters,2016-01-01,43(12).