Retrieval of Normalized Gamma Size Distribution Parameters Using Precipitation Imaging Package (PIP) Snowfall Observations during ICE-POP 2018

dc.contributor.authorTokay, Ali
dc.contributor.authorLiao, Liang
dc.contributor.authorMeneghini, Robert
dc.contributor.authorHelms, Charles N.
dc.contributor.authorMunchak, S. Joseph
dc.contributor.authorWolff, David B.
dc.contributor.authorGatlin, Patrick N.
dc.date.accessioned2024-06-11T15:08:34Z
dc.date.available2024-06-11T15:08:34Z
dc.date.issued2023-05-29
dc.description.abstractParameters of the normalized gamma particle size distribution (PSD) have been retrieved from the Precipitation Image Package (PIP) snowfall observations collected during the International Collaborative Experiment–PyeongChang Olympic and Paralympic winter games (ICE-POP 2018). Two of the gamma PSD parameters, the mass-weighted particle diameter Dmass and the normalized intercept parameter NW, have median values of 1.15–1.31 mm and 2.84–3.04 log(mm−1 m−3), respectively. This range arises from the choice of the relationship between the maximum versus equivalent diameter, Dmx–Deq, and the relationship between the Reynolds and Best numbers, Re–X. Normalization of snow water equivalent rate (SWER) and ice water content W by NW reduces the range in NW, resulting in well-fitted power-law relationships between SWER/NW and Dmass and between W/NW and Dmass. The bulk descriptors of snowfall are calculated from PIP observations and from the gamma PSD with values of the shape parameter μ ranging from −2 to 10. NASA's Global Precipitation Measurement (GPM) mission, which adopted the normalized gamma PSD, assumes μ = 2 and 3 in its two separate algorithms. The mean fractional bias (MFB) of the snowfall parameters changes with μ, where the functional dependence on μ depends on the specific snowfall parameter of interest. The MFB of the total concentration was underestimated by 0.23–0.34 when μ = 2 and by 0.29–0.40 when μ = 3, whereas the MFB of SWER had a much narrower range (from −0.03 to 0.04) for the same μ values.
dc.description.sponsorshipFirst and foremost, acknowledgments are given to Kwang Deun Ahn of the Korea Meteorological Administration and GyuWon Lee of Kyungpook National University for their leadership during ICE-POP 2018. Thanks are also given to Kwonil Kim of Kyungpook National University for field work and data collection during ICE-POP 2018. Specifically, the authors thank their South Korean colleagues for operating NASA's Precipitation Imaging Package and providing the Vaisala WXT520 weather station database. Author Helms's contribution to this study was supported by an appointment to the NASA Postdoctoral Program at NASA Goddard Space Flight Center, administered by Universities Space Research Association under contract with NASA. This study is funded through NASA's Internal Scientist Funding Model for Precipitation Measurement Missions via Grant NNX16AE88G: Will McCarty, Program Manager (NASA Headquarters), and George Huffman, Project Scientist (NASA Goddard Space Flight Center).
dc.description.urihttps://journals.ametsoc.org/view/journals/apme/62/5/JAMC-D-21-0266.1.xml
dc.format.extent14 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2gshk-hgyq
dc.identifier.citationTokay, Ali, Liang Liao, Robert Meneghini, Charles N. Helms, S. Joseph Munchak, David B. Wolff, and Patrick N. Gatlin. "Retrieval of Normalized Gamma Size Distribution Parameters Using Precipitation Imaging Package (PIP) Snowfall Observations during ICE-POP 2018." Journal of Applied Meteorology and Climatology 62, no. 5 (May 29, 2023): 611–24. https://doi.org/10.1175/JAMC-D-21-0266.1.
dc.identifier.urihttps://doi.org/10.1175/JAMC-D-21-0266.1
dc.identifier.urihttp://hdl.handle.net/11603/34602
dc.language.isoen_US
dc.publisherAMS
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology (JCET)
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.titleRetrieval of Normalized Gamma Size Distribution Parameters Using Precipitation Imaging Package (PIP) Snowfall Observations during ICE-POP 2018
dc.typeText

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