Methodology for the Selection of the Representative Climate Scenario at Yongdam Watershed

The four representative concentration pathways (RCP) scenarios presented in the fifth Assessment Report (AR5) is still widely used by researchers to assess the future effects of climate change in water resources management. However, the lack of providing scientific basis in the selection and applica...

Full description

Saved in:
Bibliographic Details
Published in:KSCE journal of civil engineering 2023, 27(8), , pp.3609-3616
Main Authors: Felix, Micah Lourdes, Noh, Seonhui, Kim, Youngkyu, Jung, Kwansue
Format: Article
Language:English
Subjects:
Civil Engineering
Climate change
Climate effects
Climate models
Engineering
Geotechnical Engineering & Applied Earth Sciences
Industrial Pollution Prevention
Mathematical models
Methodology
Methods
Numerical models
Precipitation
Water resources
Water Resources and Hydrologic Engineering
Water resources management
Watersheds
토목공학
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The four representative concentration pathways (RCP) scenarios presented in the fifth Assessment Report (AR5) is still widely used by researchers to assess the future effects of climate change in water resources management. However, the lack of providing scientific basis in the selection and application of climate scenarios in numerical models can further increase the uncertainties in the results. Therefore, this study aims to present an analytical and practical methodology for the selection of the representative climate scenario at Yongdam watershed. Based on the findings presented in this study, RCP6.0 scenario best represented the daily minimum temperature at Yongdam watershed for the past decade; the daily precipitation was best represented by RCP4.5 scenario. Furthermore, all four climate scenarios had the tendency to overestimate the magnitude and frequency of precipitation, which is an important factor that should be considered in the selection of climate scenarios. The results and methodology presented in this study can serve as a guideline in the selection of the most applicable climate scenario in other regions.
ISSN:1226-7988
1976-3808
DOI:10.1007/s12205-023-1834-x