A quantile mapping method to fill in discontinued daily precipitation time seriesA quantile mapping method to fill in discontinued daily precipitation time series
Peer-Reviewed Journal Publication
Δημοσίευση σε Περιοδικό με Κριτές
2021-06-012020enWe present and assess a method to estimate missing values in daily precipitation time series for the Mediterranean island of Crete. The method involves a quantile mapping methodology originally developed for the bias correction of climate models’ output. The overall methodology is based on a two-step procedure: (a) assessment of missing values from nearby stations and (b) adjustment of the biases in the probability density function of the filled values towards the existing data of the target. The methodology is assessed for its performance in filling-in the time series of a dense precipitation station network with large gaps on the island of Crete, Greece. The results indicate that quantile mapping can benefit the filled-in missing data statistics, as well as the wet day fraction. Conceptual limitations of the method are discussed, and correct methodology application guidance is provided.http://creativecommons.org/licenses/by/4.0/Water128Grillakis_et_al_Water_12(8)_2020.pdfChania [Greece]Library of TUC2021-06-01application/pdf2.5 MBfree
Gryllakis Emmanouil
Γρυλλακης Εμμανουηλ
Polykretis Christos
Manoudakis Stylianos
Μανουδακης Στυλιανος
Seiradakis Konstantinos
Σειραδακης Κωνσταντινος
Alexakis Dimitrios
Αλεξακης Δημητριος
MDPI
Precipitation
Fill-in
Quantile mapping
Bias correction