Applicability of various interpolation approaches for high resolution spatial mapping of climate data in Korea

Ayeong Jo, Jieun Ryu, Heyin Chung, Youyoung Choi, Seong Woo Jeon

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

The purpose of this study is to create a new dataset of spatially interpolated monthly climate data for South Korea at high spatial resolution (approximately 30m) by performing various spatio-statistical interpolation and comparing with forecast LDAPS gridded climate data provided from Korea Meterological Administration (KMA). Automatic Weather System (AWS) and Automated Synoptic Observing System (ASOS) data in 2017 obtained from KMA were included for the spatial mapping of temperature and rainfall; instantaneous temperature and 1-hour accumulated precipitation at 09:00 am on 31th March, 21th June, 23th September, and 24 th December. Among observation data, 80 percent of the total point (478) and remaining 120 points were used for interpolations and for quantification, respectively. With the training data and digital elevation model (DEM) with 30m resolution, inverse distance weighting (IDW), co-kriging, and kriging were performed by using ArcGIS10.3.1 software and Python 3.6.4. Bias and root mean square were computed to compare prediction performance quantitatively. When statistical analysis was performed for each cluster using 20% validation data, co kriging was more suitable for spatialization of instantaneous temperature than other interpolation method. On the other hand, IDW technique was appropriate for spatialization of precipitation.

Original languageEnglish
Pages (from-to)703-710
Number of pages8
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume42
Issue number3
DOIs
Publication statusPublished - 2018 Apr 30
Event2018 ISPRS TC III Mid-Term Symposium on Developments, Technologies and Applications in Remote Sensing - Beijing, China
Duration: 2018 May 72018 May 10

Fingerprint

Korea
interpolation
Interpolation
spatial resolution
climate
kriging
Precipitation (meteorology)
weighting
Temperature
Rain
Statistical methods
temperature
quantification
South Korea
statistical analysis
digital elevation model
weather
software
rainfall
trend

Keywords

  • Climate Change
  • Cokriging
  • IDW
  • Interpolation
  • Kriging
  • Precipitation
  • Temperature

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development

Cite this

Applicability of various interpolation approaches for high resolution spatial mapping of climate data in Korea. / Jo, Ayeong; Ryu, Jieun; Chung, Heyin; Choi, Youyoung; Jeon, Seong Woo.

In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 42, No. 3, 30.04.2018, p. 703-710.

Research output: Contribution to journalConference article

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