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Future climate emulations using quantile regressions on large ensembles
Matz A. Haugen
, Michael L. Stein
,
Ryan L. Sriver
, Elisabeth J. Moyer
Climate, Meteorology and Atmospheric Sciences
National Center for Supercomputing Applications (NCSA)
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Keyphrases
Large Ensemble
100%
Quantile Regression
100%
Future Climate
100%
Climate Simulation
100%
Single Run
66%
Climate Models
66%
Climate Variables
66%
Climate Model Ensemble
66%
Extreme Quantile
66%
Numerical Simulation
33%
High-resolution
33%
Temperature Distribution
33%
Detailed Model
33%
Large Amount of Data
33%
Tail Distribution
33%
Probability Distribution
33%
Climate Change
33%
Perfect Model
33%
Discrete Set
33%
Local Conditions
33%
Long-term Trends
33%
Observation-driven
33%
Smoothing Spline
33%
Pacific Northwest
33%
Ensemble Model
33%
Current Climate
33%
Daily Temperature
33%
Community Earth System Model
33%
Model Distribution
33%
Future Climate Projections
33%
Future Simulation
33%
Future Temperature
33%
Yield Projection
33%
Spatio-temporal Dependencies
33%
Spline Function
33%
Mathematics
Quantile Regression
100%
Quantile
100%
Ensemble Model
40%
Single Run
40%
Probability Distribution
20%
Basis Function
20%
Spline
20%
Discrete Set
20%
Local Condition
20%
Illuminates
20%
Earth System
20%
Term Trend
20%
Computer Simulation
20%
Earth and Planetary Sciences
Quantile
100%
Climate Modeling
50%
Climate Change
12%
Seasonality
12%
Long-Term Trend
12%
Spline Function
12%
Earth System Model
12%
Climate Projection
12%
Probability Theory
12%
Pacific
12%
Numerical Simulation
12%