Quantifying and understanding dimethylsulfide variability and its influence on the climate system

量化和了解二甲硫醚的变化及其对气候系统的影响

• 批准号: 2073239
• 金额: --
• 依托单位: UNIVERSITY OF EXETER
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2073239
• 关键词: Quantifying; understanding; dimethylsulfide; variability; its

The Met Office and NERC are jointly developing the UK's next generation Earth System Model. This model has a large Southern Ocean temperature bias arising in part from clouds allowing too much sunlight to reach the ocean's surface. This temperature bias compromises the reliability of future climate projections. Cloud droplets form on particles in the atmosphere. These particles come from a mixture of natural and human sources. More cloud droplets mean brighter (more reflective) clouds, and less sunlight passing through those clouds. Present-day cloud brightness reflects the natural 'background' particle production, and the number of human-produced (anthropogenic) particles that are transported over the Southern Ocean. This natural/anthropogenic particle ratio is critical to understand how the system will respond to increases/decreases in anthropogenic particle emissions, because changes on top of a 'clean' atmosphere have a much bigger impact than changes in an already 'dirty' atmosphere. This studentship aims to (1) determine the level and range of possible background emissions of the primary biological particle source in the region, dimethylsulphide, (2) implement changes to these emissions in the Met Office model, and (3) explore the implications of this for the model's Southern Ocean, and climate change.

大都会办公室和NERC共同开发英国的下一代地球系统模型。该模型具有较大的南部海洋温度偏见，部分原因是云层允许太多的阳光到达海洋表面。这种温度偏见损害了未来气候预测的可靠性。大气中的颗粒上形成云滴。这些颗粒来自自然和人类来源的混合物。更多的云滴意味着更明亮（反射性）云，而较少的阳光穿过这些云。当今的云亮度反映了自然的“背景”粒子的产生，以及在南大洋上运输的人类产生的（人为）颗粒的数量。这种天然/人为粒子比率对于了解系统将如何响应人为粒子排放的增加/减少至关重要，因为“干净”大气的变化比已经“肮脏”的大气的变化更大。该学生的目的是（1）确定该地区主要生物粒子源的可能背景排放的水平和范围，二甲基硫化物，（2）在大都会办公室模型中实施了这些排放的变化，以及（3）探索对模型的南方海洋和气候变化的影响。