Particle Size Distributions and Influential Factors Derived from Aircraft Measurements in the Cold Orographic Clouds in the Qilian Mountains, Northeastern Tibetan Plateau.

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Title: Particle Size Distributions and Influential Factors Derived from Aircraft Measurements in the Cold Orographic Clouds in the Qilian Mountains, Northeastern Tibetan Plateau.
Authors: Huang, Ying1,2 (AUTHOR), Fu, Danhong2 (AUTHOR) fudanhong@mail.iap.ac.cn, Guo, Xueliang2 (AUTHOR) guoxl@mail.iap.ac.cn, Zhang, Wenyu1,3 (AUTHOR)
Source: Journal of Applied Meteorology & Climatology. Jun2025, Vol. 64 Issue 6, p569-586. 18p.
Subjects: Orographic clouds, Stratus clouds, Particle size distribution, Gamma distributions, Cloud condensation nuclei
Geographic Terms: Asia
Abstract: Particle size distributions (PSDs) are highly important in numerical models of cloud microphysical schemes. However, PSDs have large uncertainties due to complex ice particle habits and formation processes. The PSDs and influential factors were investigated based on aircraft measurements of cold stratiform orographic clouds on 16 and 29 August 2020, over the Qilian Mountains (QM), northeastern Tibetan Plateau. The results revealed that the orographic clouds displayed multiple vertically layered structures, the number concentration of large ice particles was greater in the mature stage, and the supercooled liquid water content (SLWC) was greater in the dissipating stage. The seeder–feeder mechanism was present in both orographic events. The upper cold clouds containing low-concentration and large-sized ice particles acted as seeding clouds to the low-level feeding clouds with higher SLWC and significantly broadened PSDs. The PSDs were mostly unimodal and were well fitted with gamma distributions. The gamma fitting parameters of the intercept N0, slope λ, and dispersion μ were clearly related to the temperature for the nonprecipitating particles, whereas there was no clear relationship for the precipitating particles. The λ increased with increasing SLWC for the nonprecipitating particles and decreased with the increasing ice water content (IWC) and maximum diameter Dmax for the precipitating particles, indicating the importance of riming and aggregation processes in cold orographic clouds. The terms N0, μ, and λ were not independent parameters, and their relationships can be well formulated. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Applied Meteorology & Climatology is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
  Group: Ti
  Data: Particle Size Distributions and Influential Factors Derived from Aircraft Measurements in the Cold Orographic Clouds in the Qilian Mountains, Northeastern Tibetan Plateau.
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  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Huang%2C+Ying%22">Huang, Ying</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fu%2C+Danhong%22">Fu, Danhong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> fudanhong@mail.iap.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Guo%2C+Xueliang%22">Guo, Xueliang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> guoxl@mail.iap.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Wenyu%22">Zhang, Wenyu</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Meteorology+%26+Climatology%22">Journal of Applied Meteorology & Climatology</searchLink>. Jun2025, Vol. 64 Issue 6, p569-586. 18p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Orographic+clouds%22">Orographic clouds</searchLink><br /><searchLink fieldCode="DE" term="%22Stratus+clouds%22">Stratus clouds</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+size+distribution%22">Particle size distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Gamma+distributions%22">Gamma distributions</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+condensation+nuclei%22">Cloud condensation nuclei</searchLink>
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  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Asia%22">Asia</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Particle size distributions (PSDs) are highly important in numerical models of cloud microphysical schemes. However, PSDs have large uncertainties due to complex ice particle habits and formation processes. The PSDs and influential factors were investigated based on aircraft measurements of cold stratiform orographic clouds on 16 and 29 August 2020, over the Qilian Mountains (QM), northeastern Tibetan Plateau. The results revealed that the orographic clouds displayed multiple vertically layered structures, the number concentration of large ice particles was greater in the mature stage, and the supercooled liquid water content (SLWC) was greater in the dissipating stage. The seeder–feeder mechanism was present in both orographic events. The upper cold clouds containing low-concentration and large-sized ice particles acted as seeding clouds to the low-level feeding clouds with higher SLWC and significantly broadened PSDs. The PSDs were mostly unimodal and were well fitted with gamma distributions. The gamma fitting parameters of the intercept N0, slope λ, and dispersion μ were clearly related to the temperature for the nonprecipitating particles, whereas there was no clear relationship for the precipitating particles. The λ increased with increasing SLWC for the nonprecipitating particles and decreased with the increasing ice water content (IWC) and maximum diameter Dmax for the precipitating particles, indicating the importance of riming and aggregation processes in cold orographic clouds. The terms N0, μ, and λ were not independent parameters, and their relationships can be well formulated. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Applied Meteorology & Climatology is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1175/JAMC-D-23-0224.1
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 569
    Subjects:
      – SubjectFull: Orographic clouds
        Type: general
      – SubjectFull: Stratus clouds
        Type: general
      – SubjectFull: Particle size distribution
        Type: general
      – SubjectFull: Gamma distributions
        Type: general
      – SubjectFull: Cloud condensation nuclei
        Type: general
      – SubjectFull: Asia
        Type: general
    Titles:
      – TitleFull: Particle Size Distributions and Influential Factors Derived from Aircraft Measurements in the Cold Orographic Clouds in the Qilian Mountains, Northeastern Tibetan Plateau.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Huang, Ying
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          Name:
            NameFull: Fu, Danhong
      – PersonEntity:
          Name:
            NameFull: Guo, Xueliang
      – PersonEntity:
          Name:
            NameFull: Zhang, Wenyu
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          Dates:
            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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              Value: 64
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              Value: 6
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            – TitleFull: Journal of Applied Meteorology & Climatology
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