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격자단위 국가 표준 시나리오를 적용한농촌용수구역단위 자료변환 방법 비교 연구Study on the Methodology for Generating Future Precipitation Data by the Rural Water District Using Grid-Based National Standard Scenario

Other Titles
Study on the Methodology for Generating Future Precipitation Data by the Rural Water District Using Grid-Based National Standard Scenario
Authors
김시호황세운
Issue Date
May-2023
Publisher
한국농공학회
Keywords
Grid-based data; precipitation data; rural water district; RCP sceanrio
Citation
한국농공학회논문집, v.65, no.3, pp 69 - 82
Pages
14
Indexed
KCI
Journal Title
한국농공학회논문집
Volume
65
Number
3
Start Page
69
End Page
82
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/59588
DOI
10.5389/KSAE.2023.65.3.069
ISSN
1738-3692
2093-7709
Abstract
Representative meteorological data of the rural water district, which is the spatial unit of the study, was produced using the grid-based national standardRCP scenario rainfall data provided by the Korea Meteorological Administration. The retrospective reproducibility of the climate model scenario datawas analyzed, and the change in climate characteristics in the water district unit for the future period was presented. Finally the data characteristicsand 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 ASOSobservation, but the maximum daily rainfall tends to be distributed low nationwide. The number of rainfall days tends to be higher than the station-basedobservation, 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 thecase of water districts that include mountainous areas, such as Jeju, there was a large difference in the results depending on whether or not high rainfallin 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 forrural water districts for future agricutural water management plans and climate change vulnerability assessments.
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