北极的生态系统和二甲基硫对当地气候的影响

项目名称： 北极的生态系统和二甲基硫对当地气候的影响

项目编号： No.41276097

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 天文学、地球科学

项目作者： 瞿波

作者单位： 南通大学

项目金额： 50万元

中文摘要： 极地的海洋生态系统和气候之间的相互作用是全球热化课题中相当活跃，缺乏研究并很有争议的课题。本课题将用全球最新的DMS真实数据和全球卫星数据来研究北极格陵兰海和巴伦支海的叶绿素，海洋混合层深度，气溶胶光学厚度，海表温度, 冰盖，云盖以及光合有效辐射之间的耦合关系以及用统计方法推测其中一些量的未来发展趋势。再通过卫星数据结合北冰洋DMS真实数据，运用遗传算法校正DMS模型参数，从而研究格陵兰海和巴伦支海地区的DMS含量，DMS海气通量及浮游植物, 浮游动物等季节性变化规律。并用海洋-大气环流模型在70-80N纬度段在1 CO2 和3 CO2下的平均强迫数据模拟和推测北极当代和未来80年内的生态系统的趋势以及未来气候的变化。已经在北极气候研究中作过重要研究的国际合作组成员将保证质量和研究的深度。该项目的成果将为气候变化规律与生态机制的解释提供生物环境气象学的依据。

中文关键词： 叶绿素（浮游植物）；气溶胶光学厚度；海冰；二甲基硫海气通量；北极

英文摘要： The interaction between the polar marine ecosystems and climate is a very hot topic in global research. This is also a very controversial subject and lacks of research. This project will use the newly updated DMS global data and global satellite data to study coupling relationship among chlorophyll_a, mixed layer depth, aerosol optical depth, sea surface temperature, ice cover, cloud cover and photosynthetically active radiation in Greenland and Barents Sea. Statistical methods will be also used to predict some of the future trends. We will use genetic algorithm calibration for DMS model parameters using satellite data combined with the global DMS data in Arctic region, in order to calculate local DMS, DMS air-sea flux, phytoplankton and zooplankton data's seasonality and variations. Finally, we will use mean forcing data for 1xCO2 and 3xCO2 in zonal 70-80N derived by GCM, to predict present and future 80 years trends of Arctic ecosystem, as well as the impact to the future climate change. The international cooperative group members will assure the depth and quality of the research. Considering lack of comprehensive DMS research in the polar region, our research results will provide the evidence for the way of climate change and its relationship with biological environment on the meteorology basis.

英文关键词： Chlorophyll (Phytoplankton)；Aerosol Optical Depth；Sea Ice；DMS air-sea flux；Arctic