Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Jung Mo Ku
Observed names:
Jung Ku,
JungMo Ku,
Jungmo Ku
Institutions:
Korea Meteorological Administration,
National Institute of Meteorological Sciences
Observed institutions:
Korea Meteorological Administration,
Korea University,
National Institute of Meteorological Sciences,
Korea University
ORCID:
0000-0002-4644-0509
Observed ORCID:
0000-0002-4644-0509
OpenAlex ID:
A5020510146
Progressive and Prospective Technology for Cloud Seeding Experiment by Unmanned Aerial Vehicle and Atmospheric Research Aircraft in Korea
2022
·
Woonseon Jung
, Joo Wan Cha
, et al.
·
Advances in Meteorology
·
26
PDF
Preliminary Results of Cloud Seeding Experiments for Air Pollution Reduction in 2020
2023
·
Jung Mo Ku
, Ki-Ho Chang
, et al.
·
Asia-Pacific Journal of Atmospheric Sciences
·
16
PDF
Simulation of infiltration facilities using the SEEP/W model and quantification of flood runoff reduction effect by the decrease in CN
2016
·
Chulsang Yoo
, Jung Mo Ku
, et al.
·
Water Science & Technology
·
16
Estimation of the Total Amount of Enhanced Rainfall for a Cloud Seeding Experiment: Case Studies of Preventing Forest Fire, Drought, and Dust
2023
·
Yonghun Ro
, Ki-Ho Chang
, et al.
·
Advances in Meteorology
·
13
PDF
Analysis of Results and Techniques about Precipitation Enhancement by Aircraft Seeding in Korea
2019
·
Joo Wan
, Wooseon Jung
, et al.
·
13
Analysis of Cloud Seeding Experiment by Aircraft: A Case Study of an International Joint Experiment in 2019
2020
·
Jung Mo Ku
, A-Reum Ko
, et al.
·
Korean Society of Hazard Mitigation
·
6
PDF
Estimation of Available Days for a Cloud Seeding Experiment in Korea
2022
·
Woonseon Jung
, Ki-Ho Chang
, et al.
·
Journal of Environmental Science International
·
5
Evaluation of Error Indices of Radar Rain Rate Targeting Rainfall-Runoff Analysis
2016
·
Chulsang Yoo
, JungMo Ku
, et al.
·
Journal of Hydrologic Engineering
·
5
Meteorological Conditions for the Cloud Seeding Experiment by Aircraft in Korea
2021
·
Woonseon Jung
, Ki-Ho Chang
, et al.
·
Journal of Environmental Science International
·
4
Calibrating Radar Data in an Orographic Setting: A Case Study for the Typhoon Nakri in the Hallasan Mountain, Korea
2017
·
Jung Ku
, Chulsang Yoo
·
Atmosphere
·
4
PDF
Analysis of Cloud Seeding Case Experiment in Connection with Republic of Korea Air Force Transport and KMA/NIMS Atmospheric Research Aircrafts
2023
·
Yun-Kyu Lim
, Ki-Ho Chang
, et al.
·
Journal of Environmental Science International
·
3
Vertical Variation of Z-R Relationship at Hallasan Mountain during Typhoon Nakri in 2014
2017
·
Chulsang Yoo
, Jung Mo Ku
·
Advances in Meteorology
·
3
PDF
Analysis on Characteristics of Orographic Effect about the Rainfall Using Radar Data: A Case Study on Chungju Dam Basin
2015
·
Jung Mo Ku
, Yonghun Ro
, et al.
·
Journal of Korea Water Resources Association
·
3
A Suggestion of Verification Method for Cloud Seeding Experimental Results via Analyses of Chemical Components of Precipitation
2025
·
Hae-Jung Koo
, Ki-Ho Chang
, et al.
·
Journal of Applied Meteorology and Climatology
·
2
Parameter estimation of a dual-pol radar rain rate estimator with truncated paired data
2020
·
Jung Mo Ku
, Wooyoung Na
, et al.
·
Water Science & Technology Water Supply
·
2
Evaluation of Dual Polarization Rainfall Estimation Algorithm Applicability in Korea: A Case Study on Biseulsan Radar
2016
·
Gildo Kim
, Jung Mo Ku
, et al.
·
Korean Society of Hazard Mitigation
·
1
Comparison of VPR (Vertical Profile of Reflectivity) Models to Identify the Range Dependent Error in Radar Reflectivity
2014
·
Jungsoo Yoon
, Chulsang Yoo
, et al.
·
Korean Society of Hazard Mitigation
·
1
Improvement and Observation of Condensation Particle Counter in Atmospheric Research Aircraft NARA for Condensation Particle Research in Korea
2022
·
Woonseon Jung
, Jung Mo Ku
, et al.
·
Journal of Environmental Science International
인공증우(설) 항공실험 분석: 2019년 국제공동연구를 대상으로
2020
·
Jung Mo Ku
, A-Reum Ko
, et al.
항공기를 이용한 인공증우(설) 기술과 결과분석
2019
·
Ju-Wan Cha
, Wooseon Jung
, et al.
Combination of Radar and Rain Gauge Information to Map the Snowy Region in Jeju Island, Korea: A Case Study
2019
·
Jung Mo Ku
, Chulsang Yoo
·
Advances in Meteorology
PDF
Usefulness of Precipitable Water for Improvement of the Accuracy of Rainfall Occurrence Decision by Radar Data
2016
·
Minseok Kang
, Jung Mo Ku
, et al.
·
Korean Society of Hazard Mitigation
Development of Flood Discharge Ensemble Member Generation Method Based on the Clark Model
2016
·
Sunghyun Youn
, Jung Mo Ku
, et al.
·
Proceedings of the Korea Water Resources Association Conference
Analysis of Rainfall Intermittency and Log-normality on the Kriging: Focused on Simple Kriging
2016
·
Yonghun Ro
, Jung Mo Ku
, et al.
·
Proceedings of the Korea Water Resources Association Conference
Analysis on Elevation Change of Snowfall in Winter of Hallasan Mountain Using Radar Data
2016
·
Jung Mo Ku
, Yonghun Ro
, et al.
·
Proceedings of the Korea Water Resources Association Conference
Show more works
View as search
Works count:
28
Citation count:
123
H-index:
6
I10-index:
5
Year
Topic
Type