Ontology highlight
ABSTRACT:
SUBMITTER: Alidoost F
PROVIDER: S-EPMC6505955 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Alidoost Fakhereh F Stein Alfred A Su Zhongbo Z
PloS one 20190508 5
Air temperature data retrieved from global atmospheric models may show a systematic bias with respect to measurements from weather stations. This is a common concern in local climate studies. The current study presents two methods based upon copulas and Conditional Probability (CP) to predict bias-corrected mean air temperature in a data-scarce environment: CP-I offers a single conditional probability as a predictor, CP-II is a pixel-wise version of CP-I and offers spatially varying predictors. ...[more]