Assimilation of multiple data types to a regional ionosphere model with a 3D‐Var algorithm (IDA4D) CK Mengist, N Ssessanga, SH Jeong, JH Kim, YH Kim, YS Kwak Space Weather 17 (7), 1018-1039, 2019 | 19 | 2019 |
Potential of Regional Ionosphere Prediction Using a Long Short‐Term Memory Deep‐Learning Algorithm Specialized for Geomagnetic Storm Period JH Kim, YS Kwak, YH Kim, SI Moon, SH Jeong, JY Yun Space Weather 19 (9), e2021SW002741, 2021 | 18 | 2021 |
Forecasting the ionospheric F2 parameters over Jeju station (33.43 N, 126.30 E) by using long short-term memory S Moon, YH Kim, JH Kim, YS Kwak, JY Yoon Journal of the Korean Physical Society 77, 1265-1273, 2020 | 15 | 2020 |
Regional ionospheric parameter estimation by assimilating the LSTM trained results into the SAMI2 model JH Kim, YS Kwak, YH Kim, SI Moon, SH Jeong, JY Yun Space Weather 18 (10), e2020SW002590, 2020 | 9 | 2020 |
A study on nighttime winter anomaly (NWA) and other related mid-latitude summer nighttime anomaly (MSNA) in the light of international reference ionosphere (IRI)–model SP Karia, JH Kim, AO Afolayan, TI Lin Advances in Space Research 63 (6), 1949-1960, 2019 | 8 | 2019 |
A data assimilated regional ionosphere model using the total electron content from the Korean GPS network CK Mengist, YH Kim, N Ssessanga, JH Kim Journal of the Korean Physical Society 72, 826-834, 2018 | 6 | 2018 |
Characteristics of horizontal winds in the mesosphere and lower thermosphere region over Korean peninsula observed from the Korea astronomy and space science institute meteor radar H Kam, YS Kwak, TY Yang, YH Kim, J Kim, J Lee, S Choi, JH Baek Journal of Astronomy and Space Sciences 38 (4), 229-236, 2021 | 5 | 2021 |
Regional ionosphere specification by assimilating ionosonde data into the SAMI2 model JH Kim, YH Kim, N Ssessanga, SH Jeong, SI Moon, YS Kwak, JY Yun Advances in Space Research 64 (7), 1343-1357, 2019 | 4 | 2019 |
A regional ionospheric assimilation study with GPS and COSMIC measurements using a 3D-var algorithm (IDA4D) SH Jeong, YH Kim, JH Kim, YS Kwak Advances in Space Research 69 (6), 2489-2500, 2022 | 3 | 2022 |
Development of a data-verified ionospheric model with an ionosonde network JH Kim, YH Kim, SJ Oh Journal of the Korean Physical Society 68, 1359-1370, 2016 | 3 | 2016 |
Potential of regional ionosphere prediction using a long short-term memory (LSTM) deep-learning algorithm specialized for geomagnetic storm period J Kim, YS Kwak, YH Kim, SI Moon, SH Jeong, J Yun Authorea Preprints, 2022 | | 2022 |
Verifications of a 3-D regional ionospheric physics-based model over the Korean peninsula JH Kim, YS Kwak, YH Kim, SJ Oh, JD Lee, JH Yi, JY Yun Advances in Space Research 69 (3), 1257-1271, 2022 | | 2022 |
Korea Ionospheric Data Assimilative Regional Model (KIDARiM) YS Kwak, JH Kim, J Park, Y Kim, YS Lee, JD Lee, J Yun AGU Fall Meeting Abstracts 2019, SA11B-3224, 2019 | | 2019 |
Regional Ionospheric Prediction Applying Ionosonde Data Assimilation with Neural Network algorithm JH Kim, SI Moon, Y Kim, YS Kwak AGU Fall Meeting Abstracts 2019, SA43C-3238, 2019 | | 2019 |
A quantitative analysis of solar flux effects on the ionosphere by using FISM spectra JH Kim, YH Kim, GH Jee | | |