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On the calculation of single-scattering properties of frozen droplets and frozen droplet aggregates observed in deep convective clouds.
- Published in:
- Atmospheric Chemistry & Physics Discussions, 2024, p. 1, doi. 10.5194/egusphere-2024-608
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- Article
Comparative study of rainfall measurement by optical disdrometer, tipping-bucket rain gauge, and weighing precipitation gauge.
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- Natural Hazards, 2024, v. 120, n. 3, p. 2829, doi. 10.1007/s11069-023-06308-z
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- Article
Estimation of 24 h continuous cloud cover using a ground-based imager with a convolutional neural network.
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- Atmospheric Measurement Techniques, 2023, v. 16, n. 21, p. 5403, doi. 10.5194/amt-16-5403-2023
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- Article
Estimation of twenty-four-hour continuous cloud cover using ground-based imager with convolutional neural network.
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- Atmospheric Measurement Techniques Discussions, 2023, p. 1, doi. 10.5194/amt-2023-131
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- Article
Short-Term Visibility Prediction Using Tree-Based Machine Learning Algorithms and Numerical Weather Prediction Data.
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- Weather & Forecasting, 2022, v. 37, n. 12, p. 2263, doi. 10.1175/WAF-D-22-0053.1
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- Article
Progressive and Prospective Technology for Cloud Seeding Experiment by Unmanned Aerial Vehicle and Atmospheric Research Aircraft in Korea.
- Published in:
- Advances in Meteorology, 2022, p. 1, doi. 10.1155/2022/3128657
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- Article
Theoretical Calculations of Directional Scattering Intensities of Small Nonspherical Ice Crystals: Implications for Forward Scattering Probes.
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- Remote Sensing, 2022, v. 14, n. 12, p. N.PAG, doi. 10.3390/rs14122795
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- Article
Twenty-four-hour cloud cover calculation using a ground-based imager with machine learning.
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- Atmospheric Measurement Techniques, 2021, v. 14, n. 10, p. 6695, doi. 10.5194/amt-14-6695-2021
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- Publication type:
- Article
24-hour cloud cover calculation using ground-based imager with machine learning.
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- 2021
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- Abstract
Visibility Prediction over South Korea Based on Random Forest.
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- Atmosphere, 2021, v. 12, n. 5, p. 552, doi. 10.3390/atmos12050552
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- Article
Precipitation Enhancement Experiments in Catchment Areas of Dams: Evaluation of Water Resource Augmentation and Economic Benefits.
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- Remote Sensing, 2020, v. 12, n. 22, p. 3730, doi. 10.3390/rs12223730
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- Article
Prediction of Leaf Wetness Duration Using Geostationary Satellite Observations and Machine Learning Algorithms.
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- Remote Sensing, 2020, v. 12, n. 18, p. 3076, doi. 10.3390/rs12183076
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- Publication type:
- Article
Cloud Observation and Cloud Cover Calculation at Nighttime Using the Automatic Cloud Observation System (ACOS) Package.
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- Remote Sensing, 2020, v. 12, n. 14, p. 2314, doi. 10.3390/rs12142314
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- Article
Analysis of the Occurrence Frequency of Seedable Clouds on the Korean Peninsula for Precipitation Enhancement Experiments.
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- Remote Sensing, 2020, v. 12, n. 9, p. 1487, doi. 10.3390/rs12091487
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- Article
Influence of Quasi-Periodic Oscillation of Atmospheric Variables on Radiation Fog over A Mountainous Region of Korea.
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- Atmosphere, 2020, v. 11, n. 3, p. 230, doi. 10.3390/atmos11030230
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- Article
Compositional Characteristics of Atmospheric Aerosols during a Consecutive High Concentration Episode in Seoul, Korea.
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- Atmosphere, 2020, v. 11, n. 3, p. 310, doi. 10.3390/atmos11030310
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- Article
Assessing the Applicability of Random Forest, Stochastic Gradient Boosted Model, and Extreme Learning Machine Methods to the Quantitative Precipitation Estimation of the Radar Data: A Case Study to Gwangdeoksan Radar, South Korea, in 2018.
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- Advances in Meteorology, 2019, p. 1, doi. 10.1155/2019/6542410
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- Article
Characteristics of long-lasting haze episodes observed in Seoul, South Korea, for 2009–2014.
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- Theoretical & Applied Climatology, 2019, v. 136, n. 1/2, p. 55, doi. 10.1007/s00704-018-2415-7
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- Article
Assessment of the impact of hygroscopic seedingover the Korean Peninsula using the WRF model with hygroscopic seeding parameterization.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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- Article
Microphysical characteristics of frozen droplet aggregates from deep convective clouds.
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- Atmospheric Chemistry & Physics, 2018, v. 18, n. 23, p. 16915, doi. 10.5194/acp-18-16915-2018
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- Article