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Atmosphere - Vol. 28, No. 2

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1. Development of the Aircraft CO₂ Measurement Data Assimilation System to Improve the Estimation of Surface CO₂ Fluxes Using an Inverse Modeling System

Hyunjung Kim, Hyun Mee Kim, Minkwang Cho, Jun Park, Dae-Hui Kim
DOI: https://doi.org/10.14191/Atmos.2018.28.2.113

2. Subseasonal-to-Seasonal (S2S) Prediction of GloSea5 Model: Part 2. Stratospheric Sudden Warming

Kanghyun Song, Hera Kim, Seok-Woo Son, Sang-Wook Kim, Hyun-Suk Kang, Yu-Kyung Hyun
DOI: https://doi.org/10.14191/Atmos.2018.28.2.123

3. Impact of SAPHIR Data Assimilation in the KIAPS Global Numerical Weather Prediction System

Sihye Lee, Hyoung-Wook Chun, Hyo-Jong Song
DOI: https://doi.org/10.14191/Atmos.2018.28.2.141

4. Development and Evaluation of Statistical Prediction Model of Monthly-Mean Winter Surface Air Temperature in Korea

Bo-Reum Han, Yuna Lim, Hye-Jin Kim, Seok-Woo Son
DOI: https://doi.org/10.14191/Atmos.2018.28.2.153

5. A Study on the Assimilation of High-Resolution Microwave Humidity Sounder Data for Convective Scale Model at KMA

Hyeyoung Kim, Eunhee Lee, Seung-Woo Lee, Yong Hee Lee
DOI: https://doi.org/10.14191/Atmos.2018.28.2.163

6. Observed Characteristics of Precipitation Timing during the Severe Hazes: Implication to Aerosol-Precipitation Interactions

Seung-Hee Eun, Wenting Zhang, Sung-Min Park, Byung-Gon Kim, Jin-Soo Park, Jeong-Soo Kim, Il-Soo Park
DOI: https://doi.org/10.14191/Atmos.2018.28.2.175

7. A Case Study of Heavy Snowfall with Thunder and Lightning in Youngdong Area

Hae-Min Kim, Sueng-Pill Jung, So-Ra In, Byoung-Choel Choi
DOI: https://doi.org/10.14191/Atmos.2018.28.2.187

8. Benefits of the Next Generation Geostationary Meteorological Satellite Observation and Policy Plans for Expanding Satellite Data Application: Lessons from GOES-16

Jiyoung Kim, Kun-Il Jang
DOI: https://doi.org/10.14191/Atmos.2018.28.2.201

9. Sensitivity Test of the Parameterization Methods of Cloud Droplet Activation Process in Model Simulation of Cloud Formation

Ah-Hyun Kim, Seong Soo Yum, Dong Yeong Chang
DOI: https://doi.org/10.14191/Atmos.2018.28.2.211

10. Development of the Global-Korean Aviation Turbulence Guidance (Global-KTG) System Using the Global Data Assimilation and Prediction System (GDAPS) of the Korea Meteorological Administration (KMA)

Dan-Bi Lee, Hye-Yeong Chun
DOI: https://doi.org/10.14191/Atmos.2018.28.2.223