Towards an Improved LGM Surface Ocean Reconstruction with Focus on the Eastern Pacific and Tropical Atlantic

摘要ATM-9818237Mix，Alan C.俄勒冈州立大学标题：以东太平洋和热带大西洋为重点的LGM表层海洋重建的走向和改进近20年前创建的冰期海面温度、冰川冰和反照率的CLIMAP地图受到了质疑，特别是在热带和亚热带。尽管对最后一次冰川最高海面温度(LGM SST)图进行了一些区域更新，但尚未对冰河时代海洋的热带和亚热带热结构进行系统的、内部一致的、多指标的重建。这样的重建对于国际PMIP(古气候模拟对比项目)和Epiog(冰河时代的环境过程：陆地、海洋和冰川)项目的目标至关重要。该奖项支持一项研究，该研究旨在重新考虑低纬大西洋和东太平洋的冰川最大环境，检验CLIMAP在这些地区的重建是错误的假设，并改进用于模拟研究的LGM边界条件估计。工作的重点将是：(1)认为现代(核-顶)动物群组合是过去冰期生物群组合的代表的错误假设，以及(2)未能在浮游生物的生物反应中考虑生物生产力和温度之间的联系。过去20年获得的数据和洞察力证明，有必要对末次冰川盛期(LGM)进行新的系统研究。这项研究将提供(1)高质量的海洋热估计数据集，(2)洞察驱动海洋热变化的过程，以及(3)可与其他来源的LGM环境数据和模型相比较的模型预测。

AbstractATM-9818237Mix, Alan C.Oregon State UniversityTitle: Towards and Improved LGM Surface Ocean Reconstruction with Focus on the Eastern Pacific and Tropical AtlanticThe CLIMAP maps of ice-age sea-surface temperatures, glacier ice, and albedo, created nearly 20 years ago, have been questioned especially in the tropics and subtropics. Although some regional updates have been made to the Last Glacial Maximum-Sea Surface Temperatures (LGM SST) maps, no systematic, internally-consistent, multi-proxy reconstruction has yet been made of tropical and subtropical thermal structure of the ice age oceans. Such a reconstruction is critical to the goals of the international PMIP (Paleoclimate Modeling Intercomparison Project) and EPILOG (Environmental Processes of the Ice-Age: Land, Ocean, and Glaciers) programs. This award supports a study to reconsider glacial maximum environments of the low-latitude Atlantic and eastern Pacific Oceans, to test a hypothesis that CLIMAP's reconstruction was in error in these regions and to improve LGM boundary condition estimates for modeling studies. Work will focus on (1) an incorrect assumption that modern (core-top) faunal assemblages were representatives of past ice-age) assemblage groupings, and (2) the failure to consider linkages between biological productivity and temperature in the biological response of the plankton. Data and insight gained in the last 20 years warrants a new systematic look at Last Glacial Maximum (LGM). This study will provide (1) a high quality data set of oceanic thermal estimates, (2) insight into the processes that drive oceanic thermal changes, and (3) model predictions that can be compared to other sources LGM environmental data and models.