UK/Brazil Research Network for an Amazonian Carbon Observatory

英国/巴西亚马逊碳观测站研究网络

• 批准号: NE/J016233/1
• 负责人: Emanuel Gloor
• 金额: $ 6.09万
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FJ016233%2F1
• 关键词: UK; Brazil; Research; Network; Amazonian

The importance of the greenhouse gases CO2 and CH4 for climate is well established. There is broad scientific consensus that human activities are the main driver for increasing concentrations of these greenhouse gases (GHGs), particularly over the past century. Based on accurate surface measurements we know that approximately 45% of the CO2 emitted by human activities remain in the atmosphere. The net balance is apparently being taken up by global oceans, terrestrial vegetation and soils. However, there are substantial uncertainties associated with the nature, location and strength of these natural components of the carbon cycle. The Amazon region is one of the largest forested regions in the world, representing the largest reservoir of above ground organic carbon. Amazonia is not only subject to changes in climate but also to rapid environmental change due to fast population growth and economic development causing extensive deforestation and urbanisation. Such external drivers can lead to further shifts in the carbon balance resulting in release of carbon stored in the biomass and soil to the atmosphere, with implications for accelerating the growth of atmospheric GHG concentrations and climate change. Despite its important role for the global carbon cycle, current understanding of the Amazonian, and more broadly the tropical, carbon cycle is poorly constrained by observations. These knowledge gaps result in large uncertainties in the fate of the Amazonian carbon budget under a warming climate, and consequently hamper any predictive skill of carbon-climate models. Since 2009, the Amazon region has been the focus of major UK and Brazilian research projects that aim at improving our knowledge of the Amazonian carbon cycle using detailed, but localized aircraft observations of CO2 and CH4 at a number of sites. These measurements are a great advance but they remain highly localized in space and time. Space-borne measurements have the ability to fill these observational gaps by providing observations with dense spatial and temporal coverage in regions poorly sampled by surface networks. It is essential, however, that such space-based observations are properly tied to the World Meteorological Organization (WMO) reference standard to ensure acceptance of space-based datasets by the carbon cycle community and to prevent misleading results on regional carbon budgets. The central aim of this proposal is to link the in-situ measurements with remotely sensed satellite data to establish an integrated Amazonian Carbon Observatory where satellite data complements the in situ data by filling the gaps between the in situ sites and by extending the coverage over the whole Amazon region.Satellite observations of GHGs are now available from a dedicated instrument on board the Japanese GOSAT satellite and results look very promising. However, satellite retrievals over the Amazon (and the Tropics) are intrinsically difficult and the accuracy of such GHG retrievals has not been established for this region which is a major obstacle for the exploitation of space-based data to constrain carbon fluxes over the Amazon. We propose to establish a network of Brazilian and UK researchers to bridge the gap between in-situ and remote sensing observations and communities and to evaluate the feasibility of remote sensing of GHG concentrations for the purpose of GHG flux monitoring over Amazonia to improve our understanding of the Amazonian carbon cycle and to increase our ability for observing tropical carbon fluxes.The proposed network will bring together world-class expertise to address highly relevant and timely scientific questions that will advance our understanding of the carbon cycle of the Amazon. It will strongly strengthen and expand UK and Brazilian relationships and it will help further strengthen the leading role of UK researchers in many areas relevant to this proposal.

温室气体CO2和CH 4对气候的重要性是众所周知的。科学界普遍认为，人类活动是这些温室气体浓度增加的主要驱动力，特别是在过去世纪。根据精确的地表测量，我们知道人类活动排放的二氧化碳中约有45%留在大气中。净平衡显然被全球海洋、陆地植被和土壤所占据。然而，在碳循环的这些自然组成部分的性质、位置和强度方面存在着很大的不确定性。亚马逊地区是世界上最大的森林地区之一，是最大的地上有机碳库。亚马逊河流域不仅受到气候变化的影响，而且由于人口快速增长和经济发展导致广泛的森林砍伐和城市化，环境也发生了迅速变化。这种外部驱动因素可导致碳平衡的进一步变化，导致储存在生物质和土壤中的碳释放到大气中，对加速大气温室气体浓度的增长和气候变化产生影响。尽管它在全球碳循环中发挥着重要作用，但目前对亚马逊河以及更广泛的热带碳循环的了解并不受观测的限制。这些知识的差距导致在气候变暖的情况下，亚马逊河流域碳预算的命运存在很大的不确定性，从而阻碍了碳气候模型的任何预测技能。自2009年以来，亚马逊地区一直是英国和巴西主要研究项目的重点，这些项目旨在通过在多个地点对二氧化碳和甲烷进行详细但局部化的飞机观测来提高我们对亚马逊碳循环的认识。这些测量是一个巨大的进步，但它们仍然高度局限于空间和时间。空间测量有能力填补这些观测空白，在地面网络采样不足的区域提供时空覆盖密集的观测。然而，这类天基观测必须与世界气象组织（气象组织）参考标准适当挂钩，以确保碳循环界接受天基数据集，并防止在区域碳预算方面得出误导性结果。这项建议的主要目的是将内-利用遥感卫星数据进行现场测量，以建立一个综合的亚马逊碳观测站，在该观测站中，卫星数据通过填补现场观测点之间的空白并将覆盖范围扩大到整个亚马逊地区来补充现场数据。很有希望然而，亚马逊（和热带）上空的卫星反演从本质上说是困难的，这类温室气体反演的准确性尚未确定，这是利用天基数据限制亚马逊上空碳通量的一个主要障碍。我们建议建立一个由巴西和英国研究人员组成的网络，以弥合现场和遥感观测与社区之间的差距，并评估遥感温室气体浓度的可行性，以监测亚马逊河流域的温室气体通量，从而提高我们对亚马逊河流域碳循环的理解，并提高我们观测热带碳通量的能力。一流的专业知识，以解决高度相关和及时的科学问题，这将促进我们对亚马逊的碳循环的理解。这将有力地加强和扩大英国和巴西的关系，并将有助于进一步加强英国研究人员在与该提案相关的许多领域的领导作用。

项目成果

Contribution of regional sources to atmospheric methane over the Amazon Basin in 2010 and 2011

2010年和2011年亚马逊流域区域来源对大气甲烷的贡献

• DOI: 10.1002/2015gb005300
• 发表时间: 2016
• 期刊: Global Biogeochemical Cycles
• 影响因子: 5.2
• 作者: Wilson C

CH 4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data

来自 GOSAT 的亚马逊地区 CH 4 浓度与现场垂直剖面数据一致

• DOI: 10.1002/2016jd025263
• 发表时间: 2016
• 期刊: Atmospheres
• 作者: Webb A

Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH4 observations

• DOI: 10.1016/j.rse.2018.02.011
• 发表时间: 2018-06-15
• 期刊: REMOTE SENSING OF ENVIRONMENT
• 影响因子: 13.5
• 作者: Parker, Robert J.;Boesch, Hartmut;Bloom, A. Anthony
• 通讯作者: Bloom, A. Anthony

Steps for success of OCO-2

• DOI: 10.1038/ngeo2255
• 发表时间: 2014-10
• 期刊: Nature Geoscience
• 影响因子: 18.3
• 作者: John B. Miller;P. Tans;M. Gloor

Attribution of recent increases in atmospheric methane through 3-D inverse modelling

通过 3-D 反演模型对最近大气甲烷增加的归因

• DOI: 10.5194/acp-2018-474
• 发表时间: 2018
• 作者: McNorton J