Arctic Mixed-Phase Cloud Base Ice Precipitation Properties Over the NSA Site

Silber, Israel

doi:10.5439/1997412

Title: Arctic Mixed-Phase Cloud Base Ice Precipitation Properties Over the NSA Site

Dataset
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Abstract

Cloud-climate feedbacks are still the greatest source of uncertainty in current climate projections. Arctic clouds, which are predominantly stratiform and supercooled, often long-lived, and nearly continuously precipitate ice particles, contribute roughly 10% of the uncertainty attributed to the global cloud feedback. This arctic cloud uncertainty is driven by incomplete observational and theoretical knowledge required to estimate and explain the state and active processes occurring in those clouds. A focus on ice precipitation properties at arctic cloud base rather than the surface deconfounds the product of cloud condensate sink processes from the influence of the atmospheric thermodynamic state below cloud base, rendering cloud-base properties a more appealing target for inference and evaluation of model simulations. This data set provides more than 1800 samples of cloud-base ice precipitation properties over Utqiagvik, North Slope of Alaska, all of which were retrieved using the synthesis of ARM radar and lidar measurements. The retrieved ice precipitation variables in this data set include, among others, the ice number concentration, water content, PSD parameters, precipitation rate, mass-weighted fall velocity, vertical air motion, and effective radius, all of which are highly valuable for model evaluation and a general understanding of polar cloud sink processes. Each variable sample includesmore »« less

Authors:

ORNL

Publication Date:: Wed Sep 27 04:00:00 UTC 2023

Other Number(s):: ARM0789

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; Air vertical motion; Arithmetic mean ice particle diameter; Dmax_mean_log; IWC_log; Ice PSD shape parameter; Ice effective radius; Ice number concentration; Ice precipitation rate; Ice water content; Ni_tot_log; Rcb_log; V_m; mass-weighted ice particle fall velocity; mu; r_eff; w

OSTI Identifier:: 1997412

DOI:: https://doi.org/10.5439/1997412

Citation Formats


                    Silber, Israel. Arctic Mixed-Phase Cloud Base Ice Precipitation Properties Over the NSA Site.  United States: N. p., 2023. 
        Web.  doi:10.5439/1997412.

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                    Silber, Israel. Arctic Mixed-Phase Cloud Base Ice Precipitation Properties Over the NSA Site.  United States.  doi:https://doi.org/10.5439/1997412

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                    Silber, Israel. 2023.  
"Arctic Mixed-Phase Cloud Base Ice Precipitation Properties Over the NSA Site".  United States.  doi:https://doi.org/10.5439/1997412.  https://www.osti.gov/servlets/purl/1997412. Pub date:Wed Sep 27 04:00:00 UTC 2023

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@article{osti_1997412,

  title        = {Arctic Mixed-Phase Cloud Base Ice Precipitation Properties Over the NSA Site},

  author       = {Silber, Israel},

  abstractNote = {Cloud-climate feedbacks are still the greatest source of uncertainty in current climate projections. Arctic clouds, which are predominantly stratiform and supercooled, often long-lived, and nearly continuously precipitate ice particles, contribute roughly 10% of the uncertainty attributed to the global cloud feedback. This arctic cloud uncertainty is driven by incomplete observational and theoretical knowledge required to estimate and explain the state and active processes occurring in those clouds. A focus on ice precipitation properties at arctic cloud base rather than the surface deconfounds the product of cloud condensate sink processes from the influence of the atmospheric thermodynamic state below cloud base, rendering cloud-base properties a more appealing target for inference and evaluation of model simulations. This data set provides more than 1800 samples of cloud-base ice precipitation properties over Utqiagvik, North Slope of Alaska, all of which were retrieved using the synthesis of ARM radar and lidar measurements. The retrieved ice precipitation variables in this data set include, among others, the ice number concentration, water content, PSD parameters, precipitation rate, mass-weighted fall velocity, vertical air motion, and effective radius, all of which are highly valuable for model evaluation and a general understanding of polar cloud sink processes. Each variable sample includes its mean value and associated uncertainty. Additional variables based on ARM measurements (liquid layer statistics, etc.) are included in this data set. The retrieval algorithm and analysis of this data set are described in Silber (JGR, 2023, https://doi.org/10.1029/2022JD038202).},

  doi          = {10.5439/1997412},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Sep 27 04:00:00 UTC 2023},

  month        = {Wed Sep 27 04:00:00 UTC 2023}

}

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DOI: https://doi.org/10.5439/1997412

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