Update to the Global Climate Data package: analysis of empirical bias correction methods in the context of producing very high resolution climate projections
Climate models
; Distribution functions
; Earth (planet)
; Image resolution
; Precipitation (chemical)
; Probability distributions
; Temperature
; Time series
; Bias correction
; Change factors
; Cumulative distribution function
; Delta change method
; Global historical climatology network
; Gridded climate
; Joint probability distributions
; Very high spatial resolutions
; Climate change
; air temperature
; climate modeling
; climate prediction
; correction
; empirical analysis
; global climate
; precipitation (climatology)
; time series analysis
; Alps
; Bangladesh
; Europe
; Ganges Delta
; India
; Oregon
; United States
Water Resources Graduate Program, School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, Corvallis, OR, United States; School of Civil and Construction Engineering, Oregon State University, Corvallis, OR, United States; School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, Corvallis, OR, United States
Recommended Citation:
Mosier T.M.,Hill D.F.,Sharp K.V.. Update to the Global Climate Data package: analysis of empirical bias correction methods in the context of producing very high resolution climate projections[J]. International Journal of Climatology,2018-01-01,38(2)