Feedbacks between Vegetation, Aerosol and Cloud Processes Using Observations and a Unified Regional Climate Model

使用观测和统一区域气候模型在植被、气溶胶和云过程之间进行反馈

• 批准号: 1465216
• 负责人: Lixin Lu
• 金额: $ 64.89万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-15 至 2021-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1465216&HistoricalAwards=false
• 关键词: Feedbacks; between; Vegetation; Aerosol; Cloud

The impacts of clouds and aerosols on terrestrial carbon and water cycles and the resultant feedbacks to atmospheric processes are core in understanding land-atmosphere coupling. This project will advance our understanding of vegetation-CO2-aerosol-cloud interactions, and improve the representation of CO2- and aerosol- induced feedbacks within a regional-scale modeling system. This study will use outreach to broaden K-12 education and the inform the public on these important interactions to help us better understand the earth's climate system. This study will merge the existing CSU-RAMS coupled biosphere-atmosphere modeling system (SiB-RAMS) with the cloud-resolving Aerosol-RAMS (that includes direct and indirect effects) to form an integrated, process-based Vegetation-Aerosol-Cloud modeling system (VAC-RAMS). This will allow us to better understand spatial and temporal variability in land surface fluxes of energy, water, and CO2, induced by clouds, aerosols and cloud-aerosol interactions. The study will also identify ecosystem feedbacks that are critical to cloud-aerosol interactions and quantify these feedbacks using VAC-RAMS and observations from a 2007 field campaign. This will allow the investigators to assess the importance of aerosol forcing on clouds through biophysical and biogeochemical pathways.

云和气溶胶对陆生碳和水周期的影响以及对大气过程的最终反馈是理解陆地大气耦合的核心。 该项目将促进我们对植被-CO2-AEROSOL-CLOUD相互作用的理解，并改善区域规模建模系统中CO2和气溶胶诱导的反馈的表示。 这项研究将利用外展来扩大K-12教育，并向公众提供这些重要的互动，以帮助我们更好地了解地球的气候系统。 这项研究将将现有的CSU-RAMS耦合生物圈 - 大气建模系统（SIB-RAMS）与云分辨分解的气溶胶-RAM（包括直接和间接效应）合并，形成了基于过程的基于过程的植被-Aerosol-loud-loud-Cloud-Cloud-Cogeting Modeling System（vac-Rams）。 这将使我们能够更好地理解由云，气溶胶和云 - 大气胶相互作用引起的能量，水和二氧化碳的土地表面通量的空间和时间变化。 这项研究还将确定对云 - 大赛相互作用至关重要的生态系统反馈，并使用2007年现场活动中的VAC-RAM和观察结果量化这些反馈。 这将使研究人员能够通过生物物理和生物地球化学途径评估气溶胶对云的重要性。