{"id":"W1907702319","doi":"10.1175/jcli-d-14-00754.1","title":"Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?","year":2015,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":1603,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"","keywords":"Quantile; Precipitation; Environmental science; Climatology; Downscaling; Econometrics; Climate model; Extreme value theory; Coupled model intercomparison project; Climate change; Statistics; Meteorology; Mathematics; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014407629127758,"score_gpt":0.3358840419479325,"score_spread":0.2344432790351567,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}