Probability Distributions for a Quantile Mapping Technique for a Bias Correction of Precipitation Data: A Case Study to Precipitation Data Under Climate Change

Probability Distributions for a Quantile Mapping Technique for a Bias Correction of Precipitation Data: A Case Study to Precipitation Data Under Climate Change

The quantile mapping method is a bias correction method that leads to a good performance in terms of precipitation. Selecting an appropriate probability distribution model is essential for the successful implementation of quantile mapping. Probability distribution models with two shape parameters ha...

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Bibliographic Details
Main Authors: Jun-Haeng Heo, Hyunjun Ahn, Ju-Young Shin, Thomas Rodding Kjeldsen, Changsam Jeong
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Water
Subjects:
bias correction
quantile mapping
climate model
precipitation
frequency analysis
Online Access:https://www.mdpi.com/2073-4441/11/7/1475

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