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Title: Cloud vertical distribution from combined surface and space radar-lidar observations at two Arctic atmospheric observatories

Abstract

Detailed and accurate vertical distributions of cloud properties (such as cloud fraction, cloud phase, and cloud water content) and their changes are essential to accurately calculate the surface radiative flux and to depict the mean climate state. Surface and space-based active sensors including radar and lidar are ideal to provide this information because of their superior capability to detect clouds and retrieve cloud microphysical properties. In this study, we compare the annual cycles of cloud property vertical distributions from space-based active sensors and surface-based active sensors at two Arctic atmospheric observatories, Barrow and Eureka. Based on the comparisons, we identify the sensors' respective strengths and limitations, and develop a blended cloud property vertical distribution by combining both sets of observations. Results show that surface-based observations offer a more complete cloud property vertical distribution from the surface up to 11 km above mean sea level (a.m.s.l.) with limitations in the middle and high altitudes; the annual mean total cloud fraction from space-based observations shows 25-40 % fewer clouds below 0.5 km than from surface-based observations, and space-based observations also show much fewer ice clouds and mixed-phase clouds, and slightly more liquid clouds, from the surface to 1 km. In general, space-basedmore » observations show comparable cloud fractions between 1 and 2 km a.m.s.l., and larger cloud fractions above 2 km a.m.s.l. than from surface-based observations. A blended product combines the strengths of both products to provide a more reliable annual cycle of cloud property vertical distributions from the surface to 11 km a.m.s.l. This information can be valuable for deriving an accurate surface radiative budget in the Arctic and for cloud parameterization evaluation in weather and climate models. Cloud annual cycles show similar evolutions in total cloud fraction and ice cloud fraction, and lower liquid-containing cloud fraction at Eureka than at Barrow; the differences can be attributed to the generally colder and drier conditions at Eureka relative to Barrow.« less

Authors:
 [1];  [2];  [3];  [4]
  1. Univ. of Wisconsin, Madison, WI (United States). Cooperative Inst. of Meteorological Satellite Studies
  2. Univ. of Colorado, Boulder, CO (United States). Cooperative Inst. for Research in Environmental Studies; ; National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States). Earth System Research Lab.
  3. Univ. of Wyoming, Laramie, WY (United States). Dept. of Atmospheric Science
  4. Univ. of Utah, Salt Lake City, UT (United States). Atmospheric Sciences
Publication Date:
Research Org.:
Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1393573
Grant/Contract Number:
SC0011918
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Atmospheric Chemistry and Physics (Online)
Additional Journal Information:
Journal Name: Atmospheric Chemistry and Physics (Online); Journal Volume: 17; Journal Issue: 9; Journal ID: ISSN 1680-7324
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

Liu, Yinghui, Shupe, Matthew D., Wang, Zhien, and Mace, Gerald. Cloud vertical distribution from combined surface and space radar-lidar observations at two Arctic atmospheric observatories. United States: N. p., 2017. Web. doi:10.5194/acp-17-5973-2017.
Liu, Yinghui, Shupe, Matthew D., Wang, Zhien, & Mace, Gerald. Cloud vertical distribution from combined surface and space radar-lidar observations at two Arctic atmospheric observatories. United States. doi:10.5194/acp-17-5973-2017.
Liu, Yinghui, Shupe, Matthew D., Wang, Zhien, and Mace, Gerald. Tue . "Cloud vertical distribution from combined surface and space radar-lidar observations at two Arctic atmospheric observatories". United States. doi:10.5194/acp-17-5973-2017. https://www.osti.gov/servlets/purl/1393573.
@article{osti_1393573,
title = {Cloud vertical distribution from combined surface and space radar-lidar observations at two Arctic atmospheric observatories},
author = {Liu, Yinghui and Shupe, Matthew D. and Wang, Zhien and Mace, Gerald},
abstractNote = {Detailed and accurate vertical distributions of cloud properties (such as cloud fraction, cloud phase, and cloud water content) and their changes are essential to accurately calculate the surface radiative flux and to depict the mean climate state. Surface and space-based active sensors including radar and lidar are ideal to provide this information because of their superior capability to detect clouds and retrieve cloud microphysical properties. In this study, we compare the annual cycles of cloud property vertical distributions from space-based active sensors and surface-based active sensors at two Arctic atmospheric observatories, Barrow and Eureka. Based on the comparisons, we identify the sensors' respective strengths and limitations, and develop a blended cloud property vertical distribution by combining both sets of observations. Results show that surface-based observations offer a more complete cloud property vertical distribution from the surface up to 11 km above mean sea level (a.m.s.l.) with limitations in the middle and high altitudes; the annual mean total cloud fraction from space-based observations shows 25-40 % fewer clouds below 0.5 km than from surface-based observations, and space-based observations also show much fewer ice clouds and mixed-phase clouds, and slightly more liquid clouds, from the surface to 1 km. In general, space-based observations show comparable cloud fractions between 1 and 2 km a.m.s.l., and larger cloud fractions above 2 km a.m.s.l. than from surface-based observations. A blended product combines the strengths of both products to provide a more reliable annual cycle of cloud property vertical distributions from the surface to 11 km a.m.s.l. This information can be valuable for deriving an accurate surface radiative budget in the Arctic and for cloud parameterization evaluation in weather and climate models. Cloud annual cycles show similar evolutions in total cloud fraction and ice cloud fraction, and lower liquid-containing cloud fraction at Eureka than at Barrow; the differences can be attributed to the generally colder and drier conditions at Eureka relative to Barrow.},
doi = {10.5194/acp-17-5973-2017},
journal = {Atmospheric Chemistry and Physics (Online)},
number = 9,
volume = 17,
place = {United States},
year = {Tue May 16 00:00:00 EDT 2017},
month = {Tue May 16 00:00:00 EDT 2017}
}

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