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Measuring, Parameterizing, and Modeling Atmospheric Surface Fluxes During SHEBA

Measuring, Parameterizing, and Modeling Atmospheric Surface Fluxes During SHEBA
SHEBA 期间大气表面通量的测量、参数化和建模
批准号:
9702025
负责人:
Edgar Andreas
金额:
$20.73万
依托单位国家:
美国
项目类别:
Interagency Agreement
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-05-15 至 2000-04-30

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英文摘要
ABSTRACT OPP-9702025 ANDREAS, EDGAR COLD REGIONS RESEARCH AND ENVIRONMENTAL LABORATORY This research project is a key component of a large, coordinated, multi-investigator program, Surface Heat Budget of the Arctic (SHEBA) Ocean. The research program will be conducted for 14 months from a ship frozen into the ice pack. These investigators will measure atmospheric conditions near the surface of the permanent ice cap of the Arctic Ocean to determine the flux of heat radiating onto and off of the ice floe. They will determine how atmospheric heating is coupled to adsorption of heat by the ice. These measurements are critical to understanding how heat is reflected or absorbed by the ice as it melts in the summer and thickens in the winter in response to seasonal variations in climate. The heat flux measurement program makes an essential contribution to the SHEBA team of researchers who will measure atmospheric vapiables with a large array of instruments on the ice floe and aircraft flying above as well as ice and ocean property measurements made on and below the ice floe. The combined set of measurements in SHEBA will allow refinement of climate models for the Arctic region. Those improved models will lead to better predictions of the climate and the permanence of the Arctic ice cap under a proposed global warming that could occur if atmospheric carbon dioxide levels are increased above present levels.
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Collaborative Research: Spray-Mediated Gas Fluxes across the Air-Sea Interface
Spatial Variability in the Atmospheric Surface Layer and in the Surface Heat Exchange over Arctic Sea Ice
Collaborative Research: Improving Remotely Sensed Surface Fluxes over Sea Ice
Collaborative: Using SHEBA Flux Data to Improve Regional and Global Climate Models
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