Multivariate copula quantile mapping for bias correction of reanalysis air temperature data
نویسندگان
چکیده
منابع مشابه
A comparative study of quantitative mapping methods for bias correction of ERA5 reanalysis precipitation data
This study evaluates the ability of different quantitative mapping (QM) methods as a bias correction technique for ERA5 reanalysis precipitation data. Climate type and geographical location can affect the performance of the bias correction method due to differences in precipitation characteristics. For this purpose, ERA5 reanalysis precipitation data for the years 1989-2019 for 10 selected syno...
متن کاملSkill assessment of reanalysis data for air temperature
Introduction Conclusions References
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MOTIVATION Image non-uniformity (NU) refers to systematic, slowly varying spatial gradients in images that result in a bias that can affect all downstream image processing, quantification and statistical analysis steps. Image NU is poorly modeled in the field of high-content screening (HCS), however, such that current conventional correction algorithms may be either inappropriate for HCS or fai...
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Parametric copulae are shown to be an attractive device for specifying quantile autoregressive models for nonlinear time-series. Estimation of local, quantile-specific models offers some salient advantages over classical global parametric approaches. Consistency and asymptotic normality of the proposed estimators are established, leading to a general framework for inference and model specificat...
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Satellite precipitation products (SPPs) provide alternative precipitation data for regions with sparse rain gauge measurements. However, SPPs are subject to different types of error that need correction. Most SPP bias correction methods use the statistical properties of the rain gauge data to adjust the corresponding SPP data. The statistical adjustment does not make it possible to correct the ...
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ژورنال
عنوان ژورنال: Journal of Spatial Science
سال: 2019
ISSN: 1449-8596,1836-5655
DOI: 10.1080/14498596.2019.1601138