Department of Astronomy and Atmospheric Sciences, Center for Atmospheric REmote Sensing (CARE), Kyungpook National University, Daegu 41566, Republic of Korea
Gyuwon Lee
Department of Astronomy and Atmospheric Sciences, Center for Atmospheric REmote Sensing (CARE), Kyungpook National University, Daegu 41566, Republic of Korea
Eun-Kyoung Seo
Department of Earth Science Education, Kongju National University, Kongju 314-701, Republic of Korea
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Total article views: 2,110 (including HTML, PDF, and XML)
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Radar and radiometer observations were used to study cloud liquid and snowfall in three types of snow clouds. While near-surface and shallow clouds have an area fraction of 90 %, deep clouds contribute half of the total snowfall volume. Deeper clouds have heavier snowfall, although cloud liquid is equally abundant in all three cloud types. The skills of a GMI Bayesian algorithm are examined. Snowfall in deep clouds may be reasonably retrieved, but it is challenging for near-surface clouds.
Radar and radiometer observations were used to study cloud liquid and snowfall in three types of...