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Collaborative Research: Using opportunistic radon measurements to estimate the gas transfer velocity in partial sea ice cover

Collaborative Research: Using opportunistic radon measurements to estimate the gas transfer velocity in partial sea ice cover
合作研究:利用机会性氡气测量来估计部分海冰覆盖中的气体传输速度
批准号:
1203558
负责人:
Brice Loose
金额:
$38.83万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-11-01 至 2016-10-31

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中文摘要
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英文摘要
This project will investigate the use of naturally-occurring radon as a tracer for gas exchange in seasonally ice-covered waters in the Arctic Ocean, using ships of opportunity for sampling. At its maximum extent, sea ice covers nearly 10% of the ocean surface, which creates an important control on the exchange of heat and biogenic gases (CO2, O2, DMS) between the ocean and atmosphere. In the Arctic, the summer minimum in sea ice cover is rapidly decreasing and this implies a greater oscillation between the minimum and maximum sea ice extents. The effect of this increased oscillation on the net air-sea exchange of gases is not certain because sea ice is interconnected with upper ocean physics and biology. What appears certain, is that the Arctic surface ocean will experience greater variability in ice cover and this increase in variability emphasizes the need for a predictive map of air-sea gas exchange versus the forcing conditions in the sea ice zone. Sea surface convection during freezing, stratification by meltwater, and the presence of interspersed ice floes may exert important controls on the gas transfer velocity and flux of biogenic gases. A well-constrained determination of the flux of CO2 in sea ice, and in turn a well-constrained budget of polar ocean carbon, will require more detailed knowledge of gas transfer velocity in the presence of sea ice. This study proposes to make an exploratory map of the scaling relationship between the gas transfer velocity and the forcing conditions in the seasonal sea ice zone, by combining estimates of the gas transfer velocity from radon measurements with forcing conditions (such as wind and upper ocean turbulence) from Arctic Observing Network measurements and from model results. In addition to its impact on understanding carbon cycling, the project will support an early career investigator, and a graduate student.
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