Projection of Korean Probable Maximum Precipitation under Future Climate Change Scenarios

Joint Authors

Lee, Okjeong
Park, Yoonkyung
Kim, Eung Seok
Kim, Sangdan

Source

Advances in Meteorology

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-16, 16 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-10-31

Country of Publication

Egypt

No. of Pages

16

Main Subjects

Physics

Abstract EN

According to the IPCC Fifth Assessment Report, air temperature and humidity of the future are expected to gradually increase over the current.

In this study, future PMPs are estimated by using future dew point temperature projection data which are obtained from RCM data provided by the Korea Meteorological Administration.

First, bias included in future dew point temperature projection data which is provided on a daily basis is corrected through a quantile-mapping method.

Next, using a scale-invariance technique, 12-hour duration 100-year return period dew point temperatures which are essential input data for PMPs estimation are estimated from bias-corrected future dew point temperature data.

After estimating future PMPs, it can be shown that PMPs in all future climate change scenarios (AR5 RCP2.6, RCP 4.5, RCP 6.0, and RCP 8.5) are very likely to increase.

American Psychological Association (APA)

Lee, Okjeong& Park, Yoonkyung& Kim, Eung Seok& Kim, Sangdan. 2016. Projection of Korean Probable Maximum Precipitation under Future Climate Change Scenarios. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1095444

Modern Language Association (MLA)

Lee, Okjeong…[et al.]. Projection of Korean Probable Maximum Precipitation under Future Climate Change Scenarios. Advances in Meteorology No. 2016 (2016), pp.1-16.
https://search.emarefa.net/detail/BIM-1095444

American Medical Association (AMA)

Lee, Okjeong& Park, Yoonkyung& Kim, Eung Seok& Kim, Sangdan. Projection of Korean Probable Maximum Precipitation under Future Climate Change Scenarios. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1095444

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1095444