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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
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Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/11/7/1475 |