Greenhouse gas emissions evaluation.

温室气体排放评估。

• 批准号: 2910652
• 金额: --
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2910652
• 关键词: Greenhouse; gas; emissions; evaluation.

This studentship will develop machine learning and data analysis techniques for inferring greenhouse gas emissions from in situ and satellite measurement datasets. With these methods, we aim to learn about carbon cycle feedbacks and improve transparency and accuracy of national emissions reports. Our work has been central to ensuring the continuing success of international environmental agreements such as the Montreal Protocol, by understanding the drivers of changing concentrations of greenhouse gases and ozone depleting substances, and identifying anomalous regional emissions.

该奖学金将开发机器学习和数据分析技术，用于从现场和卫星测量数据集推断温室气体排放。通过这些方法，我们的目标是了解碳循环反馈并提高国家排放报告的透明度和准确性。我们的工作通过了解温室气体和臭氧消耗物质浓度变化的驱动因素并识别异常区域排放，对于确保《蒙特利尔议定书》等国际环境协定的持续成功至关重要。