4.7 Article

The Arctic Summer Cloud Ocean Study (ASCOS): overview and experimental design

期刊

ATMOSPHERIC CHEMISTRY AND PHYSICS
卷 14, 期 6, 页码 2823-2869

出版社

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/acp-14-2823-2014

关键词

-

资金

  1. Knut and Alice Wallenberg Foundation
  2. DAMOCLES Integrated Research Project
  3. EU
  4. Swedish National Research Council
  5. Bert Bolin Centre for Climate Research
  6. DAMOCLES
  7. UK Natural Environment Research Council
  8. UK Met Office
  9. NSF
  10. Finnish Meteorological Institute
  11. Academy of Finland
  12. Finnish Academy of Science
  13. Letters/Vilho, Yrjo and Kalle Vaisala Foundation
  14. Academy of Finland Centre of Excellence program
  15. Finnish Cultural foundation through the Lapland regional fund (Nordenskiold stipend)
  16. Bjerknes Centre
  17. Natural Sciences and Engineering Research Council of Canada
  18. Arctic-SOLAS (Canada)
  19. Natural Environment Research Council [NE/E010008/1, NE/H02168X/1] Funding Source: researchfish
  20. Directorate For Geosciences [1023366] Funding Source: National Science Foundation
  21. NERC [NE/E010008/1, NE/H02168X/1] Funding Source: UKRI

向作者/读者索取更多资源

The climate in the Arctic is changing faster than anywhere else on earth. Poorly understood feedback processes relating to Arctic clouds and aerosol-cloud interactions contribute to a poor understanding of the present changes in the Arctic climate system, and also to a large spread in projections of future climate in the Arctic. The problem is exacerbated by the paucity of research-quality observations in the central Arctic. Improved formulations in climate models require such observations, which can only come from measurements in situ in this difficult-to-reach region with logistically demanding environmental conditions. The Arctic Summer Cloud Ocean Study (ASCOS) was the most extensive central Arctic Ocean expedition with an atmospheric focus during the International Polar Year (IPY) 2007-2008. ASCOS focused on the study of the formation and life cycle of low-level Arctic clouds. ASCOS departed from Longyearbyen on Svalbard on 2 August and returned on 9 September 2008. In transit into and out of the pack ice, four short research stations were undertaken in the Fram Strait: two in open water and two in the marginal ice zone. After traversing the pack ice northward, an ice camp was set up on 12 August at 87 degrees 21' N, 01 degrees 29' W and remained in operation through 1 September, drifting with the ice. During this time, extensive measurements were taken of atmospheric gas and particle chemistry and physics, mesoscale and boundary-layer meteorology, marine biology and chemistry, and upper ocean physics. ASCOS provides a unique interdisciplinary data set for development and testing of new hypotheses on cloud processes, their interactions with the sea ice and ocean and associated physical, chemical, and biological processes and interactions. For example, the first-ever quantitative observation of bubbles in Arctic leads, combined with the unique discovery of marine organic material, polymer gels with an origin in the ocean, inside cloud droplets suggests the possibility of primary marine organically derived cloud condensation nuclei in Arctic stratocumulus clouds. Direct observations of surface fluxes of aerosols could, however, not explain observed variability in aerosol concentrations, and the balance between local and remote aerosols sources remains open. Lack of cloud condensation nuclei (CCN) was at times a controlling factor in low-level cloud formation, and hence for the impact of clouds on the surface energy budget. ASCOS provided detailed measurements of the surface energy balance from late summer melt into the initial autumn freeze-up, and documented the effects of clouds and storms on the surface energy balance during this transition. In addition to such process-level studies, the unique, independent ASCOS data set can and is being used for validation of satellite retrievals, operational models, and reanalysis data sets.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据