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Performance comparisons of the three data assimilation methods for improved predictability of PM2·5: Ensemble Kalman filter, ensemble square root filter, and three-dimensional variational methods

Environmental pollution (1987), 2023-04, Vol.322, p.121099-121099, Article 121099

2023

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Hourly Ground-Level PM2.5 Estimation Using Geostationary Satellite and Reanalysis Data via Deep Learning

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (11), p.2121

2021

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Impacts of uncertainties in emissions on aerosol data assimilation and short-term PM2.5 predictions over Northeast Asia

Atmospheric environment (1994), 2022-02, Vol.271, p.118921, Article 118921

2022

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Contribution of Organic Nitrates to Organic Aerosol over South Korea during KORUS-AQ

Environmental science & technology, 2021-12, Vol.55 (24), p.16326-16338

2021

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Development of a CNN+LSTM Hybrid Neural Network for Daily PM2.5 Prediction

Atmosphere, 2022-12, Vol.13 (12), p.2124

2022

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Length Scale Analyses of Background Error Covariances for EnKF and EnSRF Data Assimilation

Atmosphere, 2022-02, Vol.13 (2), p.160

2022

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Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM 2.5

Geoscientific model development, 2022-04, Vol.15 (7), p.2773-2790

2022

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Synergistic combination of information from ground observations, geostationary satellite, and air quality modeling towards improved PM2.5 predictability

NPJ climate and atmospheric science, 2023-05, Vol.6 (1), p.41-9, Article 41

2023

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Evaluation of biogenic emissions from three different vegetation distributions in South Korea

Atmospheric environment (1994), 2023-03, Vol.296, p.119588, Article 119588

2023

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Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results

Atmospheric environment (1994), 2025-01, Vol.340, p.120896, Article 120896

2025

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Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model for data assimilation of ground-level PM.sub.2.5

Geoscientific model development, 2022-04, Vol.15 (7), p.2773

2022

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Development of a CNN+LSTM Hybrid Neural Network for Daily PM[sub.2.5] Prediction

Atmosphere, 2022-12, Vol.13 (12)

2022

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Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM2.5

Geoscientific Model Development, 2022-04, Vol.15 (7), p.2773-2790

2022

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Performance comparisons of the three data assimilation methods for improved predictability of PM 2·5 : Ensemble Kalman filter, ensemble square root filter, and three-dimensional variational methods

Environmental pollution (1987), 2023-04, Vol.322, p.121099

2023

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Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues

Geoscientific Model Development, 2020-03, Vol.13 (3), p.1055-1073

2020

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Performance Comparisons of the Three Data Assimilation Methods for Improved Predictability of Pm2.5: Ensemble Kalman Filter, Ensemble Square Root Filter, and Three-Dimensional Variational Methods

SSRN Electronic Journal

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Surface-enhanced Raman scattering aptasensor for ultrasensitive trace analysis of bisphenol A

Biosensors & bioelectronics, 2015-02, Vol.64, p.560-565

2015

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Rayleigh scatterer-induced steady exceptional points of stable-island modes in a deformed optical microdisk

Optics letters, 2021-06, Vol.46 (12), p.2980-2983

2021

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Prediction of delamination of steel-polymer composites using cohesive zone model and peeling tests

Composite structures, 2017-01, Vol.160, p.118-127

2017

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Potential of IMU Sensors in Performance Analysis of Professional Alpine Skiers

Sensors (Basel, Switzerland), 2016-04, Vol.16 (4), p.463-463

2016

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Interface engineered cascade-type electronic structure of 2D/0D/2D CdS-CdCO 3 /SnO 2 quantum dots/g-C 3 N 4 nanocomposite for boosting solar-driven photocatalysis

Environmental research, 2024-09, Vol.256, p.119202

2024

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Progressive pseudograin damage accumulation model for short fiber-reinforced plastics and its application to fatigue life prediction

Composites. Part A, Applied science and manufacturing, 2024-01, Vol.176, p.107871, Article 107871

2024

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Pseudograin decomposition of short fiber-reinforced plastics for two-step homogenization using machine learning approach

Composite structures, 2024-06, Vol.338, p.118022, Article 118022

2024

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High Efficiency Cu2ZnSn(S,Se)4 Solar Cells with Shallow LiZn Acceptor Defects Enabled by Solution‐Based Li Post‐Deposition Treatment

Advanced energy materials, 2021-04, Vol.11 (13), p.n/a

2021

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Far-Field Correlations Verifying Non-Hermitian Degeneracy of Optical Modes

Physical review letters, 2022-08, Vol.129 (7), p.074101-074101, Article 074101

2022

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Performance comparisons of the three data assimilation methods for improved predictability of PM2·5: Ensemble Kalman filter, ensemble square root filter, and three-dimensional variational methods

Hourly Ground-Level PM2.5 Estimation Using Geostationary Satellite and Reanalysis Data via Deep Learning

Impacts of uncertainties in emissions on aerosol data assimilation and short-term PM2.5 predictions over Northeast Asia

Contribution of Organic Nitrates to Organic Aerosol over South Korea during KORUS-AQ

Development of a CNN+LSTM Hybrid Neural Network for Daily PM2.5 Prediction

Length Scale Analyses of Background Error Covariances for EnKF and EnSRF Data Assimilation

Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM 2.5

Synergistic combination of information from ground observations, geostationary satellite, and air quality modeling towards improved PM2.5 predictability

Evaluation of biogenic emissions from three different vegetation distributions in South Korea

Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results

Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model for data assimilation of ground-level PM.sub.2.5

Development of a CNN+LSTM Hybrid Neural Network for Daily PM[sub.2.5] Prediction

Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM2.5

Performance comparisons of the three data assimilation methods for improved predictability of PM 2·5 : Ensemble Kalman filter, ensemble square root filter, and three-dimensional variational methods

Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues

Performance Comparisons of the Three Data Assimilation Methods for Improved Predictability of Pm2.5: Ensemble Kalman Filter, Ensemble Square Root Filter, and Three-Dimensional Variational Methods

Surface-enhanced Raman scattering aptasensor for ultrasensitive trace analysis of bisphenol A

Rayleigh scatterer-induced steady exceptional points of stable-island modes in a deformed optical microdisk

Prediction of delamination of steel-polymer composites using cohesive zone model and peeling tests

Potential of IMU Sensors in Performance Analysis of Professional Alpine Skiers

Interface engineered cascade-type electronic structure of 2D/0D/2D CdS-CdCO 3 /SnO 2 quantum dots/g-C 3 N 4 nanocomposite for boosting solar-driven photocatalysis

Progressive pseudograin damage accumulation model for short fiber-reinforced plastics and its application to fatigue life prediction

Pseudograin decomposition of short fiber-reinforced plastics for two-step homogenization using machine learning approach

High Efficiency Cu2ZnSn(S,Se)4 Solar Cells with Shallow LiZn Acceptor Defects Enabled by Solution‐Based Li Post‐Deposition Treatment

Far-Field Correlations Verifying Non-Hermitian Degeneracy of Optical Modes

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