Dr. Myoung Hwan Ahn is a professor at the Department of Atmospheric Science & Engineering. He is a leading scientist in the fields of remote sensing and satellite meteorology. He got a Ph.D from the Department of Meteorology in the University of Maryland at College Park with a research related with the development of an algorithm to retrieve SO2, O3, and aerosol using the spectrometer data onboard a satellite. Since joining with KMA (Korea Meteorological Administration), he was deeply involved with the COMS program (the first multi-purpose geostationary satellite program in Korea) by providing background theory for the development, leading a group of scientists for the algorithm development and application of the acquired data. He was also in the responsible position for the successful launch of COMS in 2010 and subsequent in-orbit-test. With the huge success of the COMS program, he successfully lead the follow-on program, GEO-KOPMSAT-2 planned to be launched in 2018. After a successful career at KMA, he has been working with the Department of Atmospheric Science and Engineering since 2012. Current research interests include development of sensor calibration and validation process and retrieval algorithm for the GEO-KOMPSAT-2 satellite and characterization of ground based microwave radiometer and development of retrieval algorithm for the atmospheric temperature and humidity profiles from the radiometer. About 50 peer-reviewed papers are published including about 20 of international recognized SCI level journals such as AMT(Atmospheric Measurement Technology) and GRL(Geophysical Research Letter)
First evaluation of the GEMS formaldehyde product against TROPOMI and ground-based column measurements during the in-orbit test periodATMOSPHERIC CHEMISTRY AND PHYSICS, 2024, v.24 no.8, 4733-4749
Sensitivity analysis of NO2 differential slant column density according to spatial resolution using GCAS data from the SIJAQ 2022 campaignAtmospheric Environment, 2024, v.335, 120723
A New Bias Correction Approach for Better Assimilation of Microwave Sounding Data Over Winter Sea Ice in the Korean Integrated ModelIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, v.61, 4108212
Turbulent characteristics in complex coastal areas assessed using BSWO observations and WRF-LES simulation resultsAtmospheric Research, 2023, v.289, 106756
Characteristics of the Spectral Response Function of Geostationary Environment Monitoring Spectrometer Analyzed by Ground and In-Orbit MeasurementsIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, v.60
Incremental Learning with Neural Network Algorithm for the Monitoring Pre-Convective Environments Using Geostationary ImagerREMOTE SENSING, 2022, v.14 no.2, 387
Synergistic Benefits of Intercomparison Between Simulated and Measured Radiances of Imagers Onboard Geostationary SatellitesIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, v.59 no.12, 10725-10737
Evaluation of Atmospheric Profile Retrieval Algorithm for GK2A Satellite with Dropsonde ObservationsASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2020, v.56 no.2, 225-233
High-resolution mapping of SO2 using airborne observations from the GeoTASO instrument during the KORUS-AQ field study: PCA-based vertical column retrievalsREMOTE SENSING OF ENVIRONMENT, 2020, v.241, 111725
New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS)BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2020, v.101 no.1, E1-E22
The New Potential of Deep Convective Clouds as a Calibration Target for a Geostationary UV/VIS Hyperspectral SpectrometerREMOTE SENSING, 2020, v.12 no.3, 446
Retrieval of Total Precipitable Water from Himawari-8 AHI Data: A Comparison of Random Forest, Extreme Gradient Boosting, and Deep Neural NetworkREMOTE SENSING, 2019, v.11 no.15, 1741
Total Column Ozone Retrieval from the Infrared Measurements of a Geostationary ImagerIEEE Transactions on Geoscience and Remote Sensing, 2019, v.57 no.8, 5642-5650
Characteristics of cloud occurrence using ceilometer measurements and its relationship to precipitation over SeoulAtmospheric Research, 2018, v.201, 46-57
Atmospheric profile retrieval algorithm for next generation geostationary satellite of Korea and its application to the advanced Himawari ImagerRemote Sensing, 2017, v.9 no.12, 1294
Interactions between aerosol absorption, thermodynamics, dynamics, and microphysics and their impacts on a multiple-cloud systemClimate Dynamics, 2017 , 1-17
Multiday evolution of convective bursts during western North Pacific tropical cyclone development and nondevelopment using geostationary satellite measurementsJournal of Geophysical Research: Atmospheres, 2017, v.122 no.3, 1635-1649
Application of an artificial neural network for a direct estimation of atmospheric instability from a next-generation imagerAdvances in Atmospheric Sciences, 2016, v.33 no.2, 221-232
Characterization of downwelling radiance measured from a ground-based microwave radiometer using numerical weather prediction model dataAtmospheric Measurement Techniques, 2016, v.9 no.1, 281-293
A cloud detection algorithm using the downwelling infrared radiance measured by an infrared pyrometer of the ground-based microwave radiometerATMOSPHERIC MEASUREMENT TECHNIQUES, 2015, v.8 no.2, 553-566
A sensitivity study for the calibration of hyperspectral spectrometer on board the geostationary multipurpose satellite of KoreaProceedings of SPIE - The International Society for Optical Engineering, 2015, v.9535
Detection of convective initiation using Meteorological Imager onboard Communication, Ocean, and Meteorological Satellite based on machine learning approachesRemote Sensing, 2015, v.7 no.7, 9184-9204
Estimation of uncertainties in the spectral response function of the water vapor channel of a meteorological imagerProceedings of SPIE - The International Society for Optical Engineering, 2015, v.9535
Inter-comparison of the infrared channels of the meteorological imager onboard COMS and hyperspectral IASI dataAdvances in Atmospheric Sciences, 2015, v.32 no.7, 979-990
On the Detection and Monitoring of the Transport of an Asian Dust Storm Using Multi-Sensor Satellite Remote SensingJOURNAL OF ENVIRONMENTAL INFORMATICS, 2015, v.25 no.2, 99-116
Introduction of the in-orbit test and its performance for the first meteorological imager of the Communication, Ocean, and Meteorological SatelliteATMOSPHERIC MEASUREMENT TECHNIQUES, 2014, v.7 no.8, 2471-2485
[학술지논문] Advantages of Inter-Calibration for Geostationary Satellite Sensors Onboard Twin Satellites
GEOPHYSICAL RESEARCH LETTERS, 2024, v.51
no.14
, 1-4
SCIE
[학술지논문] On-Orbit Correction of Bi-Directional Transmittance Distribution Function (BTDF) of Geostationary Environment Monitoring Spectrometer (GEMS)
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, v.62
no.1
, 1-18
SCIE
[학술지논문] Spectral replacement using machine learning methods for continuous mapping of the Geostationary Environment Monitoring Spectrometer (GEMS)
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2023, v.16
no.1
, 153-168
SCIE
[학술지논문] The First 30 Years of GEWEX
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2023, v.104
no.1
, E126-E157
SCIE
[학술지논문] Characteristics of the Spectral Response Function of Geostationary Environment Monitoring Spectrometer Analyzed by Ground and In-Orbit Measurements
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, v.60
no.0
, 1-16
SCI
[학술지논문] Synergistic Benefits of Intercomparison Between Simulated and Measured Radiances of Imagers Onboard Geostationary Satellites
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, v.59
no.12
, 10725-10737
SCI
[학술지논문] Evaluation of Atmospheric Profile Retrieval Algorithm for GK2A Satellite with Dropsonde Observations
ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2020, v.56
no.2
, 225-233
SCIE
[학술지논문] New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS)
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2020, v.101
no.1
, 1-22
SCI
[학술지논문] Spectral Calibration Algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS)
REMOTE SENSING, 2020, v.12
no.17
, 1-17
SCIE
[학술지논문] The New Potential of Deep Convective Clouds as a Calibration Target for a Geostationary UV/VIS Hyperspectral Spectrometer
REMOTE SENSING, 2020, v.12
no.3
, 446-446
SCIE
[학술발표] Characterization of GEMS level 1B based on inter-comparison using the visible channel of AMIEGU General Assembly, 오스트리아, 2021-04-28
EGU General Assembly, 2021
[학술발표] Characterization of the in-flight spectral response function of Geostationary Environment Monitoring Spectrometer (GEMS) retrieved using observed solar irradianceEGU Assembly 2021, 오스트리아, 2021-04-28
EGU Assembly 2021, 2021
[학술발표] Inter-comparison of wind vectors derived from geostationary
satellites with the Aeolus/ALADINEGU Assembly 2021, 오스트리아, 2021-04-28
EGU Assembly 2021, 2021