Real-Time Ice Nuclei Measurements at Oliktok Point Field Campaign Report
The ability of atmospheric particles (aerosols) to serve as heterogeneous ice nuclei (IN) for formation of ice and mixed-phase clouds is one of the least understood microphysical processes resulting in large uncertainties in climate modeling. As stated in the Intergovernmental Panel on Climate Chang...
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ftosti:oai:osti.gov:1525450 2023-07-30T04:01:35+02:00 Real-Time Ice Nuclei Measurements at Oliktok Point Field Campaign Report Kulkarni, Gourihar 2019-06-18 application/pdf http://www.osti.gov/servlets/purl/1525450 https://www.osti.gov/biblio/1525450 unknown http://www.osti.gov/servlets/purl/1525450 https://www.osti.gov/biblio/1525450 2019 ftosti 2023-07-11T09:34:03Z The ability of atmospheric particles (aerosols) to serve as heterogeneous ice nuclei (IN) for formation of ice and mixed-phase clouds is one of the least understood microphysical processes resulting in large uncertainties in climate modeling. As stated in the Intergovernmental Panel on Climate Change 2007 report, “The effects of aerosol particles on heterogeneous ice formation are currently insufficiently understood and present another level of challenge for both observations and modeling.” IN can strongly affect cloud radiative properties and precipitation formation. Only a small fraction (often less than 1%) of all aerosol particles act as atmospheric IN. Therefore, it becomes important to identify the active fraction of aerosol particles under a variety of environmental conditions. Proposed IN measurement techniques provide IN concentrations as a function of temperature and humidity conditions, and this unique data set can be analyzed to develop or constrain IN parameterizations that models rely on to calculate primary ice formation. Currently, the processes of ice formation within models are poorly represented, such that climate models often inaccurately partition cloud water between liquid and solid ice. Model studies have shown that uncertainties in cloud phase partitioning induce large uncertainties in the impact of mixedphase clouds on climate change. Arctic clouds composed of ice particles and supercooled liquid droplets at temperatures warmer than -37°C are important for the Arctic’s climate because of their extensive horizontal coverage over long periods, and their impact on the surface radiative balance and thus ice sheet coverage. The complexity of microphysical processes within these clouds and the sensitivity of precipitation to the details of microphysics are not fully understood. In addition, representation of these processes in a variety of cloud models continues to be challenging. Arctic clouds provide unique conditions to understand heterogeneous ice nucleation mechanisms, particularly ... Other/Unknown Material Arctic Climate change Ice Sheet SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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The ability of atmospheric particles (aerosols) to serve as heterogeneous ice nuclei (IN) for formation of ice and mixed-phase clouds is one of the least understood microphysical processes resulting in large uncertainties in climate modeling. As stated in the Intergovernmental Panel on Climate Change 2007 report, “The effects of aerosol particles on heterogeneous ice formation are currently insufficiently understood and present another level of challenge for both observations and modeling.” IN can strongly affect cloud radiative properties and precipitation formation. Only a small fraction (often less than 1%) of all aerosol particles act as atmospheric IN. Therefore, it becomes important to identify the active fraction of aerosol particles under a variety of environmental conditions. Proposed IN measurement techniques provide IN concentrations as a function of temperature and humidity conditions, and this unique data set can be analyzed to develop or constrain IN parameterizations that models rely on to calculate primary ice formation. Currently, the processes of ice formation within models are poorly represented, such that climate models often inaccurately partition cloud water between liquid and solid ice. Model studies have shown that uncertainties in cloud phase partitioning induce large uncertainties in the impact of mixedphase clouds on climate change. Arctic clouds composed of ice particles and supercooled liquid droplets at temperatures warmer than -37°C are important for the Arctic’s climate because of their extensive horizontal coverage over long periods, and their impact on the surface radiative balance and thus ice sheet coverage. The complexity of microphysical processes within these clouds and the sensitivity of precipitation to the details of microphysics are not fully understood. In addition, representation of these processes in a variety of cloud models continues to be challenging. Arctic clouds provide unique conditions to understand heterogeneous ice nucleation mechanisms, particularly ... |
author |
Kulkarni, Gourihar |
spellingShingle |
Kulkarni, Gourihar Real-Time Ice Nuclei Measurements at Oliktok Point Field Campaign Report |
author_facet |
Kulkarni, Gourihar |
author_sort |
Kulkarni, Gourihar |
title |
Real-Time Ice Nuclei Measurements at Oliktok Point Field Campaign Report |
title_short |
Real-Time Ice Nuclei Measurements at Oliktok Point Field Campaign Report |
title_full |
Real-Time Ice Nuclei Measurements at Oliktok Point Field Campaign Report |
title_fullStr |
Real-Time Ice Nuclei Measurements at Oliktok Point Field Campaign Report |
title_full_unstemmed |
Real-Time Ice Nuclei Measurements at Oliktok Point Field Campaign Report |
title_sort |
real-time ice nuclei measurements at oliktok point field campaign report |
publishDate |
2019 |
url |
http://www.osti.gov/servlets/purl/1525450 https://www.osti.gov/biblio/1525450 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Ice Sheet |
genre_facet |
Arctic Climate change Ice Sheet |
op_relation |
http://www.osti.gov/servlets/purl/1525450 https://www.osti.gov/biblio/1525450 |
_version_ |
1772812357269979136 |