Isolating the Liquid Cloud Response to Recent Arctic Sea Ice Variability Using Spaceborne Lidar Observations.
Saved in:
| Title: | Isolating the Liquid Cloud Response to Recent Arctic Sea Ice Variability Using Spaceborne Lidar Observations. |
|---|---|
| Authors: | Morrison, A. L.1,2 ariel.morrison@colorado.edu, Kay, J. E.1,2, Chepfer, H.3, Guzman, R.4, Yettella, V.1,2 |
| Source: | Journal of Geophysical Research. Atmospheres. Jan2018, Vol. 123 Issue 1, p473-490. 18p. |
| Abstract: | Abstract: While the radiative influence of clouds on Arctic sea ice is known, the influence of sea ice cover on Arctic clouds is challenging to detect, separate from atmospheric circulation, and attribute to human activities. Providing observational constraints on the two‐way relationship between sea ice cover and Arctic clouds is important for predicting the rate of future sea ice loss. Here we use 8 years of CALIPSO (Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observations) spaceborne lidar observations from 2008 to 2015 to analyze Arctic cloud profiles over sea ice and over open water. Using a novel surface mask to restrict our analysis to where sea ice concentration varies, we isolate the influence of sea ice cover on Arctic Ocean clouds. The study focuses on clouds containing liquid water because liquid‐containing clouds are the most important cloud type for radiative fluxes and therefore for sea ice melt and growth. Summer is the only season with no observed cloud response to sea ice cover variability: liquid cloud profiles are nearly identical over sea ice and over open water. These results suggest that shortwave summer cloud feedbacks do not slow long‐term summer sea ice loss. In contrast, more liquid clouds are observed over open water than over sea ice in the winter, spring, and fall in the 8 year mean and in each individual year. Observed fall sea ice loss cannot be explained by natural variability alone, which suggests that observed increases in fall Arctic cloud cover over newly open water are linked to human activities. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Geophysical Research. Atmospheres is the property of Wiley-Blackwell 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.) | |
| Database: | GreenFILE |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: 8gh DbLabel: GreenFILE An: 127563619 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Isolating the Liquid Cloud Response to Recent Arctic Sea Ice Variability Using Spaceborne Lidar Observations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Morrison%2C+A%2E+L%2E%22">Morrison, A. L.</searchLink><relatesTo>1,2</relatesTo><i> ariel.morrison@colorado.edu</i><br /><searchLink fieldCode="AR" term="%22Kay%2C+J%2E+E%2E%22">Kay, J. E.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Chepfer%2C+H%2E%22">Chepfer, H.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Guzman%2C+R%2E%22">Guzman, R.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Yettella%2C+V%2E%22">Yettella, V.</searchLink><relatesTo>1,2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Geophysical+Research%2E+Atmospheres%22">Journal of Geophysical Research. Atmospheres</searchLink>. Jan2018, Vol. 123 Issue 1, p473-490. 18p. – Name: Abstract Label: Abstract Group: Ab Data: Abstract: While the radiative influence of clouds on Arctic sea ice is known, the influence of sea ice cover on Arctic clouds is challenging to detect, separate from atmospheric circulation, and attribute to human activities. Providing observational constraints on the two‐way relationship between sea ice cover and Arctic clouds is important for predicting the rate of future sea ice loss. Here we use 8 years of CALIPSO (Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observations) spaceborne lidar observations from 2008 to 2015 to analyze Arctic cloud profiles over sea ice and over open water. Using a novel surface mask to restrict our analysis to where sea ice concentration varies, we isolate the influence of sea ice cover on Arctic Ocean clouds. The study focuses on clouds containing liquid water because liquid‐containing clouds are the most important cloud type for radiative fluxes and therefore for sea ice melt and growth. Summer is the only season with no observed cloud response to sea ice cover variability: liquid cloud profiles are nearly identical over sea ice and over open water. These results suggest that shortwave summer cloud feedbacks do not slow long‐term summer sea ice loss. In contrast, more liquid clouds are observed over open water than over sea ice in the winter, spring, and fall in the 8 year mean and in each individual year. Observed fall sea ice loss cannot be explained by natural variability alone, which suggests that observed increases in fall Arctic cloud cover over newly open water are linked to human activities. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Geophysical Research. Atmospheres is the property of Wiley-Blackwell 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=127563619 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/2017JD027248 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 473 Titles: – TitleFull: Isolating the Liquid Cloud Response to Recent Arctic Sea Ice Variability Using Spaceborne Lidar Observations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Morrison, A. L. – PersonEntity: Name: NameFull: Kay, J. E. – PersonEntity: Name: NameFull: Chepfer, H. – PersonEntity: Name: NameFull: Guzman, R. – PersonEntity: Name: NameFull: Yettella, V. IsPartOfRelationships: – BibEntity: Dates: – D: 16 M: 01 Text: Jan2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 2169897X Numbering: – Type: volume Value: 123 – Type: issue Value: 1 Titles: – TitleFull: Journal of Geophysical Research. Atmospheres Type: main |
| ResultId | 1 |
