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2023 Vol.65, Issue 3 Preview Page
Study on the Methodology for Generating Future Precipitation Data by the Rural Water District Using Grid-Based National Standard Scenario

격자단위 국가 표준 시나리오를 적용한 농촌용수구역단위 자료변환 방법 비교 연구

Siho Kima
,
Syewoon Hwangb†
김 시호a
,
황 세운b†
aGraduate Student, Department of Agricultural Engineering, Gyeongsang National University, Jinju, Republic of Korea
bAssociate Professor, Department of Agricultural Engineering (Institute of Agriculture and Life Science), Gyeongsang National University, Jinju, Republic of Korea
a진주 경상대학교 농공학과 대학원생
b진주 경상대학교 농업생명과학원 농업공학과 부교수
† Corresponding author Tel.: +82-55-772-1934, Fax: +82-55-772-1939 E-mail: swhwang@gnu.ac.kr
2023. pp. 69-82
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Abstract

Representative meteorological data of the rural water district, which is the spatial unit of the study, was produced using the grid-based national standard RCP scenario rainfall data provided by the Korea Meteorological Administration. The retrospective reproducibility of the climate model scenario data was analyzed, and the change in climate characteristics in the water district unit for the future period was presented. Finally the data characteristics and differences of each meteorological element according to various spatial resolution conversion and post-processing methods were examined.

As a main result, overall, the distribution of average precipitation and R95p of the grid data, has reasonable reproducibility compared to the ASOS observation, but the maximum daily rainfall tends to be distributed low nationwide. The number of rainfall days tends to be higher than the station-based observation, and this is because the grid data is generally calculated using the area average concept of representative rainfall data for each grid.

In addition, in the case of coastal regions, there is a problem that administrative districts of islands and rural water districts do not match. and In the case of water districts that include mountainous areas, such as Jeju, there was a large difference in the results depending on whether or not high rainfall in the mountainous areas was reflected.

The results of this study are expected to be used as foundation for selecting data processing methods when constructing future meteorological data for rural water districts for future agricutural water management plans and climate change vulnerability assessments.

Keywords
Grid-based data
precipitation data
rural water district
RCP sceanrio
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Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 65
  • No :3
  • Pages :69-82
  • Received Date : 2022-12-22
  • Revised Date : 2023-04-20
  • Accepted Date : 2023-04-23
  • DOI :https://doi.org/10.5389/KSAE.2023.65.3.069
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