The New Bias Correction Method for Daily Extremes Precipitation over South Korea using CMIP6 GCMs

Young Hoon Song; ‪Eun‐Sung Chung; Shamsuddin Shahid

doi:10.1007/s11269-022-03338-3

ScienceGate Book Chapters

JOURNAL ARTICLE

The New Bias Correction Method for Daily Extremes Precipitation over South Korea using CMIP6 GCMs

Young Hoon Song ‪Eun‐Sung Chung Shamsuddin Shahid

Year: 2022 Journal: Water Resources Management Vol: 36 (15)Pages: 5977-5997 Publisher: Springer Science+Business Media

DOI: 10.1007/s11269-022-03338-3

Get Full-Text PDF Get Analytical Report

Keywords:

Quantile Weibull distribution Log-normal distribution Precipitation Statistics Gamma distribution Mathematics Environmental science Climatology Meteorology Physics Geology

Metrics

Cited By

2.87

FWCI (Field Weighted Citation Impact)

Refs

0.89

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Climate variability and models

Physical Sciences → Environmental Science → Global and Planetary Change

Precipitation Measurement and Analysis

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Meteorological Phenomena and Simulations

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

The New Bias Correction Method for Daily Extremes Precipitation over South Korea using CMIP6 GCMs

Metrics

Citation History

Topics

Related Documents

Projection of precipitation extremes over South Asia from CMIP6 GCMs

Future Changes in Precipitation Extremes over South Korea Based on Observations and CMIP6 SSP Scenarios

Comparison of CMIP6 GCMs historical precipitation with measured precipitation over Pakistan

Bias correction of daily precipitation over South Korea from the long-term reanalysis using a composite Gamma-Pareto distribution approach

Seasonal Bias Correction of Daily Precipitation over France Using a Stitch Model Designed for Robust Representation of Extremes