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http://dx.doi.org/10.14249/eia.2018.27.5.447

Applicability of VariousInterpolation Approaches for High Resolution Spatial Mapping of Climate Data in Korea  

Jo, Ayeong (Department of Lifescience, Korea University)
Ryu, Jieun (Environmental GIS/RS Center, Korea University)
Chung, Hyein (Department of Environmental Science & Ecological Engineering, Korea University)
Choi, Yuyoung (Department of Environmental Science & Ecological Engineering, Korea University)
Jeon, Seongwoo (Department of Environmental Science & Ecological Engineering, Korea University)
Publication Information
Journal of Environmental Impact Assessment / v.27, no.5, 2018 , pp. 447-474 More about this Journal
Abstract
The purpose of this study is to build a new dataset of spatially interpolated climate data of South Korea by performing various geo-statistical interpolation techniques for comparison with the LDAPS grid data of KMA. Among 595 observation data in 2017, 80 % of the total points and remaining 117 points were used for spatial mapping and quantification,respectively. IDW, cokriging, and kriging were performed via the ArcGIS10.3.1 software and Python3.6.4, and each result was then divided into three clusters and four watersheds for statistical verification. As a result, cokriging produced the most suitable grid climate data for instantaneous temperature. For 1-hr accumulated precipitation, IDW was most suitable for expressing local rainfall effects.
Keywords
Grid climate data; Geo-statistical interpolation; IDW; Cokriging; Kriging;
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  • Reference
1 Hwang SH, Ham DH. 2013. Evaluation of Spatial Downscaling Methods for Enhancement of Spatial Precipitation Estimation. Journal of KOSHAN. 13(4): 149-163. [Korean Literature]
2 Jang DH, Wi NS, Park NW. 2015. High-resolution Spatial Mapping and Evaluation of Temperature and Rainfall in South Korea using a Simple Kriging with Local Mean. Climate Research. 10(2): 165-182. [Korean Literature]   DOI
3 Jeong JJ, Choi YG. 2011. Study on Interpolation Methods to Generate GIS-based Climate Maps. Climate Research. 6(2): 159-170. [Korean Literature]
4 Jin MJ, Park SY. 2015. Temperature Changes of Climatic Solar Terms and Their Spatiotemporal Characteristics in South Korea. The Korean Geographical Society. 50(1): 23-36. [Korean Literature]
5 Kim JP, Lee WS, Cho HG, Kim GS. 2014. Estimation of High Resolution Daily Precipitation Using a Modified PRISM Model. Korean Society of Civil Engineers. 34(4): 1139-1150. [Korean Literature]   DOI
6 KMA. 2017. 11-1360395-000252-01
7 KMA. 2017. 11-1360000-000002-06
8 Kim YS, Shim KM, Jung MP, Choi IT. 2014. Accuracy Comparison of Air Temperature Estimation using Spatial Interpolation Methods according to Application of Temperature Lapse Rate Effect. The Korean Society of Climate Change Research. 5(4): 323-329. [Korean Literature]   DOI
9 Hong KO, Suh MS, Rah DK, Chang DH, Kim CS, Kim MK. 2007. Estimation of High Resolution Gridded Temperature Using GIS and PRISM. Atmosphere. 17(3): 255-268. [Korean Literature]
10 Miquel N, Xavier P, Joan MR. 2007. Objective air temperature mapping for the Iberian Peninsula using spatial interpolation and GIS. Int. J. Climatol. 27: 1231-1242.   DOI
11 Park JC, Kim MK. 2009, A Study on the Use of a Terrain Aspect Variable in Producing the Precipitation Distribution Map applying Cokriging: A Case of Jeju Island. Journal of the Korean Geomorphological Association. 16(3): 59-66. [Korean Literature]
12 Park JC, Kim MK. 2013. Comparison of Precipitation Distributions in Precipitation Data Sets Representing 1km Spatial Resolution over South Korea Produced by PRISM, IDW, and Cokriging. Journal of the Korean Association of Geographic Information Studies. 16(3): 147-163. [Korean Literature]   DOI
13 Park NW, Jang DH. 2008. Mapping of Temperature and Rainfall Using DEM and Multivariate Kriging. The Korean Geographical Society. 43(6): 1002-1015. [Korean Literature]
14 Park NW, Jang DH. 2011. Use of Space-time Autocorrelation Information in Time-series Temperature Mapping. The Korean Association of Regional Geographers. 17(4): 432-442. [Korean Literature]
15 Park SJ. 2014. Generality and Specificity of Landforms of the Korean Peninsula, and Its Sustainability. The Korean Geographical Society. 49(5): 656-674. [Korean Literature]
16 Stephen EF, Robert JH. 2017. WorldClim2: new 1-km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37: 4032-4315.
17 Ann C, Ewa D, Carl K, Bill A, Ian F, Veronika N, Jason L, Alex S, Arie S, Bob D, Dean W, Don M. 2003. High-performance remote access to climate simulation data: a challenge problem for data grid technologies. Parallel Computing. 29: 1335-1356.   DOI
18 Baek GH, Lee MG, Kang BJ. 2011. Development of Spatial Statistical Downscaling Method for KMA-RCM by Using GIS. The Korean Association of Geographic Information Studies. 14(3): 136-149. [Korean Literature]   DOI
19 Bruno AW, Joslin LM. 2005. The concepts of bias, precision and accuracy, and their use in testing the performance of species richness estimators, with a literature review of estimator performance. Ecography. 28: 815-829.   DOI
20 Baek SG, Jang DH. 2011. Evaluation for Applicability of Cokriging for High Resolution Spatial Mapping of Temperature and Rainfall, Climate Research. 6(3): 242-253. [Korean Literature]
21 Chun SH, Kim CB, Kim WR, Park SG, Chae SK. 2015. Analysis of Stream Environmental Assessment Systems in Korea : Focus on the Biological Aspect, Ecology and Resilient Infrastructure. 2(2): 108-117.   DOI
22 Creutin JD, Delrieu G, Lebel T. 1988. Rain measurement by raingage-radar combination: a geostatistical approach. Journal of Atmospheric and Pceanic Technologies. 5: 102-115.   DOI
23 Daly C, Helmer EH, Maya Q. 2003. Mapping the Climate of Puerto Rico, Vieques and Culebra. International Journal of climatology. 23: 1359-1381.   DOI
24 Daly C. 2006. Guidelines for assessing the suitability of spatial climate data sets. Int. J. Climatol. 26: 707-721.   DOI
25 Girish P, David WS. 1983. Cluster Analysis in Marketing Research: Review and Suggestions for Application. Journal of Marketing Research. 20(2): 134-148.   DOI