Consideration of rainfall intermittency and log-normality on the merging of radar and the rain gauge rain rate

Yonghun Ro; Chulsang Yoo

doi:10.1016/j.jhydrol.2020.125178

Consideration of rainfall intermittency and log-normality on the merging of radar and the rain gauge rain rate

Yonghun Ro, Chulsang Yoo

School of Civil, Environmental and Architectural Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This study evaluated the effect of data intermittency and log-normality on the merging of radar and the rain gauge rain rate field by cokriging. The data from Gwanaksan Radar and rain gauges within the radar umbrella were used in this study. A total of four different cases of cokriging results were generated and compared by considering one or both of the data intermittency and log-normality. The results confirmed that the quality of the merged rain rate field could be improved by considering both the data intermittency and the log-normality. In particular, the data log-normality was found to have a higher impact on the cokriging result than the data intermittency.

Original language	English
Article number	125178
Journal	Journal of Hydrology
Volume	589
DOIs	https://doi.org/10.1016/j.jhydrol.2020.125178
Publication status	Published - 2020 Oct 1

Keywords

Cokriging
Intermittency
Log-normality
Merging

ASJC Scopus subject areas

Water Science and Technology

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10.1016/j.jhydrol.2020.125178

Cite this

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title = "Consideration of rainfall intermittency and log-normality on the merging of radar and the rain gauge rain rate",

abstract = "This study evaluated the effect of data intermittency and log-normality on the merging of radar and the rain gauge rain rate field by cokriging. The data from Gwanaksan Radar and rain gauges within the radar umbrella were used in this study. A total of four different cases of cokriging results were generated and compared by considering one or both of the data intermittency and log-normality. The results confirmed that the quality of the merged rain rate field could be improved by considering both the data intermittency and the log-normality. In particular, the data log-normality was found to have a higher impact on the cokriging result than the data intermittency.",

keywords = "Cokriging, Intermittency, Log-normality, Merging",

author = "Yonghun Ro and Chulsang Yoo",

note = "Funding Information: This work was supported by Basic Science Research Program through the Ministry of Education of the Republic of Korea and the National Research Foundation of the Republic of Korea ( NRF-2016R1D1A1A09918155 ). Publisher Copyright: {\textcopyright} 2020 Elsevier B.V.",

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T1 - Consideration of rainfall intermittency and log-normality on the merging of radar and the rain gauge rain rate

AU - Ro, Yonghun

AU - Yoo, Chulsang

N1 - Funding Information: This work was supported by Basic Science Research Program through the Ministry of Education of the Republic of Korea and the National Research Foundation of the Republic of Korea ( NRF-2016R1D1A1A09918155 ). Publisher Copyright: © 2020 Elsevier B.V.

PY - 2020/10/1

Y1 - 2020/10/1

N2 - This study evaluated the effect of data intermittency and log-normality on the merging of radar and the rain gauge rain rate field by cokriging. The data from Gwanaksan Radar and rain gauges within the radar umbrella were used in this study. A total of four different cases of cokriging results were generated and compared by considering one or both of the data intermittency and log-normality. The results confirmed that the quality of the merged rain rate field could be improved by considering both the data intermittency and the log-normality. In particular, the data log-normality was found to have a higher impact on the cokriging result than the data intermittency.

AB - This study evaluated the effect of data intermittency and log-normality on the merging of radar and the rain gauge rain rate field by cokriging. The data from Gwanaksan Radar and rain gauges within the radar umbrella were used in this study. A total of four different cases of cokriging results were generated and compared by considering one or both of the data intermittency and log-normality. The results confirmed that the quality of the merged rain rate field could be improved by considering both the data intermittency and the log-normality. In particular, the data log-normality was found to have a higher impact on the cokriging result than the data intermittency.

KW - Cokriging

KW - Intermittency

KW - Log-normality

KW - Merging

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DO - 10.1016/j.jhydrol.2020.125178

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VL - 589

JO - Journal of Hydrology

JF - Journal of Hydrology

SN - 0022-1694

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ER -

Consideration of rainfall intermittency and log-normality on the merging of radar and the rain gauge rain rate

Abstract

Keywords

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