ShupeTurner cloud microphysics

Shupe, Matthew

doi:10.5439/1871015

Title: ShupeTurner cloud microphysics

Dataset
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Abstract

This product is the ShupeTurner cloud microphysics product derived for the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in the central Arctic. The product includes time-height derivations of the cloud type (phase type) and the condensed water content and characteristic effective particle size for liquid and ice hydrometeor populations. Additionally, it includes the vertical integral of the condensed water content for liquid and ice, i.e., the liquid water path and ice water path. These are derived using a combination of sensors, including: cloud radar, depolarization lidar, microwave radiometer, ceilometer, and radiosondes. During MOSAiC, these sensors were installed and operated onboard the Polarstern icebreaker while within the Arctic sea ice. Most data were obtained while Polarstern was moored to the MOSAiC sea ice floe, passively drifting through the Arctic. However, the data from 16 May 2020 - 17 June 2020 and 31 July 2020 - 21 August 2020 were obtained while Polarstern was underway transiting through the sea ice during relocations of the expedition. General details of the retrieval algorithm, its application, and uncertainties are provided in Shupe et al. (2015), with the cloud classification being described in more detail in Shupe (2007). General details about themore »« less

Authors:

Shupe, Matthew

ORNL

Publication Date:: Fri Jun 03 04:00:00 UTC 2022

DOE Contract Number:: AC05-00OR22725

Research Org.:: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); ARM Data Center, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Collaborations:: PNNL, BNL, ANL, ORNL

Subject:: 54 ENVIRONMENTAL SCIENCES; Atmosphere: Troposphere

OSTI Identifier:: 1871015

DOI:: https://doi.org/10.5439/1871015

Citation Formats


                    Shupe, Matthew. ShupeTurner cloud microphysics.  United States: N. p., 2022. 
        Web.  doi:10.5439/1871015.

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                    Shupe, Matthew. ShupeTurner cloud microphysics.  United States.  doi:https://doi.org/10.5439/1871015

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                    Shupe, Matthew. 2022.  
"ShupeTurner cloud microphysics".  United States.  doi:https://doi.org/10.5439/1871015.  https://www.osti.gov/servlets/purl/1871015. Pub date:Fri Jun 03 04:00:00 UTC 2022

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@article{osti_1871015,

  title        = {ShupeTurner cloud microphysics},

  author       = {Shupe, Matthew},

  abstractNote = {This product is the ShupeTurner cloud microphysics product derived for the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in the central Arctic. The product includes time-height derivations of the cloud type (phase type) and the condensed water content and characteristic effective particle size for liquid and ice hydrometeor populations. Additionally, it includes the vertical integral of the condensed water content for liquid and ice, i.e., the liquid water path and ice water path. These are derived using a combination of sensors, including: cloud radar, depolarization lidar, microwave radiometer, ceilometer, and radiosondes. During MOSAiC, these sensors were installed and operated onboard the Polarstern icebreaker while within the Arctic sea ice. Most data were obtained while Polarstern was moored to the MOSAiC sea ice floe, passively drifting through the Arctic. However, the data from 16 May 2020 - 17 June 2020 and 31 July 2020 - 21 August 2020 were obtained while Polarstern was underway transiting through the sea ice during relocations of the expedition. General details of the retrieval algorithm, its application, and uncertainties are provided in Shupe et al. (2015), with the cloud classification being described in more detail in Shupe (2007). General details about the MOSAiC expedition including instruments, locations, and meteorological context is provided in Shupe et al. (2022).},

  doi          = {10.5439/1871015},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Jun 03 04:00:00 UTC 2022},

  month        = {Fri Jun 03 04:00:00 UTC 2022}

}

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DOI: https://doi.org/10.5439/1871015

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