Evaluation of the gap filler radar as an implementation of the 1.5km CAPPI data in Korea

Chulsang Yoo, Jungsoo Yoon, Jungho Kim, Yonghun Ro

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This study evaluated the gap filler radar as an implementation of the 1.5km CAPPI (constant altitude plan position indicator) data in Korea. The use of the 1.5km CAPPI data was an inevitable choice, given the topography of the Korean Peninsula and the location of the radar. However, there still exists a significant portion of beam blockage, and thus there has been debate about the need to introduce the gap filler radar (or, the gap-filler). This study evaluated the possible benefits of introducing gap-fillers over the Korean Peninsula. As a first step, the radar data error was quantified by G/R ratio and root mean square error (RMSE), and the radar data over the Korean Peninsula were evaluated. The gap-fillers were then located where the error was high, and their effect was then evaluated by the decrease in the G/R ratio and RMSE. The mean values of the G/R ratio and RMSE of the 1.5km CAPPI data over the Korean Peninsula were estimated to be about 2.5 and 4.5mmh-1, respectively. Even after the mean-field bias correction, the RMSE of the 1.5km CAPPI data was not decreased and mostly remained very high, around 4.4mmh-1. Unfortunately, the effect of the gap-filler on the 1.5km CAPPI data was also found to be very small, just 1-2%. However, the gap-filler could be beneficial, if the lowest elevation angle data were used instead of the 1.5km CAPPI data. The effect of five gap-fillers could be up to 7% decrease in RMSE.

Original languageEnglish
JournalMeteorological Applications
DOIs
Publication statusAccepted/In press - 2016

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radar
evaluation
indicator
plan
topography
effect

Keywords

  • 1.5km CAPPI data
  • G/R ratio
  • Gap filler radar
  • Radar
  • RMSE

ASJC Scopus subject areas

  • Atmospheric Science

Cite this

Evaluation of the gap filler radar as an implementation of the 1.5km CAPPI data in Korea. / Yoo, Chulsang; Yoon, Jungsoo; Kim, Jungho; Ro, Yonghun.

In: Meteorological Applications, 2016.

Research output: Contribution to journalArticle

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