Collaborative Research: An Eocene perspective on future recovery rates of climate and ocean chemistry

该项目提供了过去气候变化事件的案例研究，称为始新世最大温度-2，以限制在大量碳输入地球表面水库后气候和海洋化学的自然恢复率。这项研究将使人们能够对迄今尚未探索的过去气候和海洋酸化过程有新的见解，从而促进科学的全面进步，推动全球气候学领域的发展。这种洞察力对于让公众、科学领袖和政策制定者更好地了解二氧化碳排放有增无减对全球气候、海洋碳酸盐、化学和海洋生态系统的后果至关重要。此外，该项目还通过将这些信息直接引入中学和大学课程以及流行期刊，将研究和教育活动整合在一起。该项目促进了对来自不同种族人口的研究生和本科生的教育，同时还进行了尖端研究。这项研究将(1)提供对负气候-碳循环反馈的根本洞察，(2)解决数据覆盖和对始新世高温的理解方面的重要差距，以及(3)限制未来气候-碳循环模拟所需的关键参数值。

This projects provides a case study of a past climate event, called the Eocene Thermal Maximum-2 to constrain natural recovery rates of climate and ocean chemistry following massive carbon input into Earth's surface reservoirs. The study will allow new insight into past climate and ocean acidification processes that were hitherto unexplored, hence promoting the progress of science and advancing the field of climatology. Such insight is essential to providing the public, scientific leaders, and policy makers with a better understanding of the consequences of unabated CO2 emissions for global climate, ocean carbonate chemistry, and marine ecosystems. Moreover, the project integrates research and educational activities by introducing this information directly into secondary school and college curricula and popular journals. The project fosters education for graduate and undergraduate students from ethnically diverse populations, while conducting cutting-edge research at the same time. The outcome of this study will advancethe understanding of the Earth system and hence improve forecasts of future climate change, which is beneficial to society.Specifically, proxy records will be generated and used (d13C, d18O, %CaCO3, B/Ca, d11B) in combination with numerical modeling to determine natural recovery times for carbon cycle processes, temperature, and surface ocean acidification. The study will (1) provide fundamental insight into negative climate-carbon cycle feedbacks, (2) address important gaps in data coverage and understanding of Eocene hyperthermals, and (3) constrain critical parameter values needed for future climate-carbon cycle simulations.