Journal of Multimedia Information System

한국멀티미디어학회 (Korea Multimedia Society)
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Quantitative Estimation of the Precipitation utilizing the Image Signal of Weather Radar

  • Choi, Jeongho (Dept. of Mechatronics Engineering, Chosun College of Science & Technology) ;
  • Lim, Sanghun (Korea Institute of Civil Engineering and Building Technology) ;
  • Han, Myoungsun (Korea Institute of Civil Engineering and Building Technology) ;
  • Kim, Hyunjung (Korea Institute of Civil Engineering and Building Technology) ;
  • Lee, Baekyu (Dept. of Mechatronics Engineering, Chosun College of Science & Technology)
  • 투고 : 2018.10.19
  • 심사 : 2018.11.26
  • 발행 : 2018.12.31
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초록

This study estimated rainfall information more effectively by image signals through the information system of weather radar. Based on this, we suggest the way to estimate quantitative precipitation utilizing overlapped observation area of radars. We used the overlapped observation range of ground hyetometer observation network and radar observation network which are dense in our country. We chose the southern coast where precipitation entered from seaside is quite frequent and used Sungsan radar installed in Jeju island and Gudoksan radar installed in the southern coast area. We used the rainy season data generated in 2010 as the precipitation data. As a result, we found a reflectivity bias between two radar located in different area and developed the new quantitative precipitation estimation method using the bias. Estimated radar rainfall from this method showed the apt radar rainfall estimate than the other results from conventional method at overall rainfall field.

키워드

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Fig. 1. Diagram of a common observation region.

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Fig. 2. Conceptual diagram of radar observation according to storm movement in a coastal area.

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Fig. 3. Type of the relative radar error.

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Fig. 4. Weather radar sites applied and ground rain gauges in radar observation area.

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Fig. 5. Radar beam diagram of the radar pairs.

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Fig. 6. Radar rainfall field for each storm event.

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Fig. 7. Correction of the radar-radar bias (SSP and PSN radars).

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Fig. 9. Comparison results of Z-R relationship parameters resulted from the original and the proposed method.

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Fig. 10. Comparison of the result from conventional QPE method and CRQPE method.

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Fig. 11. Comparison results of QPE field for Southern Coast Area.

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Fig. 8. Radar relative-reflectivity bias in real-time.

Table 1. Availability of observation facilities (gauge and weather radar) and Z-R relationship in real-time depending on stages.

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Table 2. Characteristics of weather radars applied.

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Table 3. Application storm events and its scenario to apply QPE in coastal area.

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참고문헌

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  8. Henschke, A., Habib, E., Pathak, C.S., "Adjustment of the Z-R relationship in real-time for use in South Florida," World Environmental and Water Resources Congress 2009, ASCE, 6069-6080, 2009.
  9. Rendon, S.H., Vieux, B.E., Pathak, C.S., "Deriving radar specific Z-R relationships for hydrologic operations," World Environmental and Water Resources Congress, 2011.
  10. Rendon, S.H., Vieux, B.E., Pathak, C.S., "Continuous forecasting and evaluation of derived Z-R relationships in a sparse rain gauge network using NEXRAD," Journal of Hydrologic Engineering, ASCE, 13, 175-182, 2013.