MIneral dust variability in the Southern Ocean (MISO)
MIneral dust variability in the Southern Ocean (MISO)
批准号:
42083125
负责人:
Dr. Uwe Mikolajewicz, since 6/2010
金额:
$0.0万
依托单位国家:
德国
项目类别:
Priority Programmes
财政年份:
2007
资助国家:
德国
项目状态:
已结题
起止时间:
2006-12-31 至 2011-12-31
中文摘要
极地冰芯代表了过去风成尘埃颗粒沉积的唯一直接档案,矿物尘埃从沙漠地区长距离运输到极地冰盖。虽然总粉尘沉降量是粉尘流动的一级指标,因此,粉尘源区的气候条件、颗粒大小分布可以量化输送效率。在这里,我们将结合联合收割机最新的南极尘埃记录从EPICA冰芯从德龙宁毛德地和耦合的国家的最先进的全球气候模式(ECHAM 5)与隐式气溶胶方案(HAM),以量化古气候变化的尘埃动员,运输和沉积。将对全新世、MIS 5.5和与时间片模型运行平行的暖期过渡期间的选定时间片进行关于大气尘埃浓度和粒度分布的高分辨率冰芯尘埃分析。高模拟大气层模拟的适当边界条件将从使用地球系统模型的长期模拟中获取。作为回报,将评估沙尘对过去气候变化的影响。模型和冰芯数据处理的时间尺度范围从季节变化、年际变化到尘埃动员和运输的长期变化,限制了潜在的尘埃源区及其时间变化以及环南极环流模式的时空变化。
英文摘要
Polar ice cores represent the only direct archive for the deposition of aeolian dust particles in the past, with mineral dust being transported over long-distances from desert regions to the polar ice sheets. While the total dust deposition is a first order measure of dust mobilization, hence climate conditions in the dust source regions, particle size distributions allow for a quantification of transport efficiency. Here we will combine latest Antarctic dust records from the EPICA ice core from Dronning Maud Land and a coupled state-of-the art Global Climate model (ECHAM5) with an implicit aerosol scheme (HAM) to quantify paleoclimatic changes in dust mobilization, transport and deposition. High-resolution ice core dust analysis on atmospheric dust concentration and particle size distribution will be performed for selected time slices in the Holocene, MIS 5.5 and during the transition into the warm periods in parallel to time slice model runs. Appropriate boundary conditions for the high simulation atmosphere only simulations will be taken from long simulations with an earth system model. In return the effect of dust on past climate changes will be assessed. The time scales addressed by both model and ice core data range from seasonal changes, interannual variability to long-term changes in dust mobilization and transport, constraining potential dust source regions and their temporal changes as well as spatiotemporal variability in Circumantarctic circulation patterns.
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