利用二氧化碳替代方法从 MethaneAIR 提取甲烷:为即将到来的 MethaneSAT 任务进行演示

IF 3.2 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Measurement Techniques Pub Date : 2024-09-16 DOI:10.5194/amt-17-5429-2024
Christopher Chan Miller, Sébastien Roche, Jonas S. Wilzewski, Xiong Liu, Kelly Chance, Amir H. Souri, Eamon Conway, Bingkun Luo, Jenna Samra, Jacob Hawthorne, Kang Sun, Carly Staebell, Apisada Chulakadabba, Maryann Sargent, Joshua S. Benmergui, Jonathan E. Franklin, Bruce C. Daube, Yang Li, Joshua L. Laughner, Bianca C. Baier, Ritesh Gautam, Mark Omara, Steven C. Wofsy
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引用次数: 0

摘要

摘要。减少石油和天然气(O&G)行业的甲烷(CH4)排放对于在短期内减缓气候变化至关重要。MethaneSAT 是一项即将实施的卫星任务,旨在监测全球范围内全流域的石油和天然气排放情况,提供排放率估计值,并帮助确定导致甲烷释放到大气中的基本过程。MethaneSAT 的数据将有助于跟踪各国和各行业设定的甲烷减排承诺和目标,从而为宣传和政策制定工作提供支持。在此,我们介绍一种基于二氧化碳替代方法的甲烷卫星甲烷检索算法。我们将该算法应用于 MethaneAIR 的首次观测活动,MethaneAIR 是该卫星的机载前身,具有类似的仪器规格。该活动于 2019 年冬季和 2021 年夏季在美国三大油气盆地上空进行。对 MethaneAIR 数据的分析表明,在 20×20 平方米的像素分辨率下,测量精度通常优于 2%,对地球物理变量(如地表反射率)没有很强的依赖性。我们的研究表明,探测器的焦点在每次飞行过程中都会发生偏移,这可能是由于整个光学工作台产生的热梯度造成的。通过在光谱拟合中加入一个参数来挤压实验室得出的、表列的仪器光谱响应函数(ISRF),可以在很大程度上减轻这种漂移对检索到的甲烷的影响。与重合的 EM27/SUN 检索结果进行的验证表明,甲烷空气分析仪的数值一般在检索结果的 1%以内。甲烷空气检索值还与 TROPOspheric Monitoring Instrument (TROPOMI) 的检索值进行了相互比较。我们估计仪器之间的平均偏差为 2.5 ppb,两个数据集的纬度梯度非常一致。我们利用在二叠纪盆地(一个石油和天然气盆地)上空记录的观测数据,评估了 MethaneAIR 对点源排放估算的准确性,该估算基于综合质量增强方法和使用总变异去噪的羽状掩蔽算法。我们估计,在飞机标称的地面以上观测高度 12 千米处,点源检测阈值中值为 100-150 千克/小时。这一估算基于气象研究与预报(WRF)大涡模拟集合,用于模拟活动条件,量化阈值约为探测阈值的两倍。反复流域调查的检索结果表明,存在持续源和间歇源,我们将重点介绍每种情况下的一个例子。对于持续源,我们推断是一个大型石油和天然气加工设施排放的,估计泄漏率在 1.6 % 到 2.1 % 之间,高于之前报告的同规模设施的排放水平。我们还发现了一条破裂的管道,如果不及时修复,可能会使盆地的总排放量增加 2%;这条管道是在其运营商发现前两周被发现的,这突出了未来卫星任务定期监测的重要性。这些结果展示了 MethaneAIR 在单次飞行中对大气中甲烷干气摩尔分数进行高精度、精确测量的能力,其空间分辨率很高(20×20 平方米∼),可绘制大片区域(100×100 平方公里∼)的地图。这些结果使人们相信,甲烷卫星能够从空间以前所未有的精细尺度(目标区域面积为 200×200 平方公里,像素大小为 130×400 平方米)进行此类测量,从而提供关于全流域甲烷排放的定量数据。
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Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission
Abstract. Reducing methane (CH4) emissions from the oil and gas (O&G) sector is crucial for mitigating climate change in the near term. MethaneSAT is an upcoming satellite mission designed to monitor basin-wide O&G emissions globally, providing estimates of emission rates and helping identify the underlying processes leading to methane release in the atmosphere. MethaneSAT data will support advocacy and policy efforts by helping to track methane reduction commitments and targets set by countries and industries. Here, we introduce a CH4 retrieval algorithm for MethaneSAT based on the CO2 proxy method. We apply the algorithm to observations from the maiden campaign of MethaneAIR, an airborne precursor to the satellite that has similar instrument specifications. The campaign was conducted during winter 2019 and summer 2021 over three major US oil and gas basins. Analysis of MethaneAIR data shows that measurement precision is typically better than 2 % at a 20×20 m2 pixel resolution, exhibiting no strong dependence on geophysical variables, e.g., surface reflectance. We show that detector focus drifts over the course of each flight, likely due to thermal gradients that develop across the optical bench. The impacts of this drift on retrieved CH4 can mostly be mitigated by including a parameter that squeezes the laboratory-derived, tabulated instrument spectral response function (ISRF) in the spectral fit. Validation against coincident EM27/SUN retrievals shows that MethaneAIR values are generally within 1 % of the retrievals. MethaneAIR retrievals were also intercompared with retrievals from the TROPOspheric Monitoring Instrument (TROPOMI). We estimate that the mean bias between the instruments is 2.5 ppb, and the latitudinal gradients for the two data sets are in good agreement. We evaluate the accuracy of MethaneAIR estimates of point-source emissions using observations recorded over the Permian Basin, an O&G basin, based on the integrated-mass-enhancement approach coupled with a plume-masking algorithm that uses total variational denoising. We estimate that the median point-source detection threshold is 100–150 kg h−1 at the aircraft's nominal above-surface observation altitude of 12 km. This estimate is based on an ensemble of Weather Research and Forecasting (WRF) large-eddy simulations used to mimic the campaign's conditions, with the threshold for quantification set at approximately twice the detection threshold. Retrievals from repeated basin surveys indicate the presence of both persistent and intermittent sources, and we highlight an example from each case. For the persistent source, we infer emissions from a large O&G processing facility and estimate a leak rate between 1.6 % and 2.1 %, higher than any previously reported emission levels from a facility of its size. We also identify a ruptured pipeline that could increase total basin emissions by 2 % if left unrepaired; this pipeline was discovered 2 weeks before it was found by its operator, highlighting the importance of regular monitoring by future satellite missions. The results showcase MethaneAIR's capability to make highly accurate, precise measurements of methane dry-air mole fractions in the atmosphere, with a fine spatial resolution (∼ 20×20 m2) mapped over large swaths (∼ 100×100 km2) in a single flight. The results provide confidence that MethaneSAT can make such measurements at unprecedentedly fine scales from space (∼ 130×400 m2 pixel size over a target area measuring ∼ 200×200 km2), thereby delivering quantitative data on basin-wide methane emissions.
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来源期刊
Atmospheric Measurement Techniques
Atmospheric Measurement Techniques METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
7.10
自引率
18.40%
发文量
331
审稿时长
3 months
期刊介绍: Atmospheric Measurement Techniques (AMT) is an international scientific journal dedicated to the publication and discussion of advances in remote sensing, in-situ and laboratory measurement techniques for the constituents and properties of the Earth’s atmosphere. The main subject areas comprise the development, intercomparison and validation of measurement instruments and techniques of data processing and information retrieval for gases, aerosols, and clouds. The manuscript types considered for peer-reviewed publication are research articles, review articles, and commentaries.
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