Articles | Volume 24, issue 20
https://doi.org/10.5194/acp-24-11955-2024
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the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-24-11955-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Oct 2024
Research article |
| 28 Oct 2024
| 28 Oct 2024
Estimating the snow density using collocated Parsivel and Micro-Rain Radar measurements: a preliminary study from ICE-POP 2017/2018
Department of Atmospheric Sciences, National Central University, Taoyuan, Taiwan
Yung-Chuan Yang
Department of Atmospheric Sciences, National Central University, Taoyuan, Taiwan
Chen-Yu Hung
Department of Atmospheric Sciences, National Central University, Taoyuan, Taiwan
Kwonil Kim
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA
Gyuwon Lee
Department of Atmospheric Sciences, Center for Atmospheric REmote sensing (CARE), Kyungpook National University, Daegu, Republic of Korea
Ali Tokay
Goddard Earth Sciences Technology and Research (GESTAR-II), University of Maryland, Baltimore County, Baltimore, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
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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.
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Short summary
Snow density is derived by collocated Micro-Rain Radar (MRR) and Parsivel (ICE-POP 2017/2018). We apply the particle size distribution from Parsivel to a T-matrix backscattering simulation and compare with ZHH from MRR. Bulk density and bulk water fractions are derived from comparing simulated and calculated ZHH. Retrieved bulk density is validated by comparing snowfall rate measurements from Pluvio and the Precipitation Imaging Package. Snowfall rate consistency confirms the algorithm.
Snow density is derived by collocated Micro-Rain Radar (MRR) and Parsivel (ICE-POP 2017/2018)....
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