D. Skye Kushner , Taryn Lopez , Christoph Kern , Santiago Arellano , Nemesio M. Pérez , José Barrancos
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Due to complex radiative transfer mechanisms when a cloud is between the DOAS viewing position and a volcanic plume, measured plumes can appear spatially offset from their true location, a phenomenon informally referred to as “ghost plumes.” In addition to the appearance of ghost plumes, DOAS measurements recorded in non-ideal conditions have poorly characterized errors and are often discarded, limiting the data available to characterize volcanic degassing. In this study we simulate the radiative transfer associated with zenith-facing mobile DOAS traverses using the McArtim radiative transfer model for scenarios when there is a cloud layer between the instrument and the volcanic plume. In total, 217 permutations of atmospheric optical conditions are considered with varying cloud opacities (AOD = 0, 1, 2, 4, 8, 20), plume opacities (AOD = 0, 1, 2, 4, 8), solar zenith angles (SZA = 1°, 30°, 60°), and cloud thicknesses (200, 400, 800 m). We first develop objective criteria for selecting SO<sub>2</sub> baseline absorption levels and plume spatial extents. The simulated plume traverses are then integrated to obtain the SO<sub>2</sub> cross-sectional burdens which, after multiplication with the wind speed, yield SO<sub>2</sub> emission rates. We find large modification in the shape of the modeled cross-sectional burdens even under translucent (low AOD) cloud conditions in our modeled scenarios. Despite modification of the plume shape, the presence of a low cloud layer is typically not a large source of error in the SO<sub>2</sub> cross-sectional burden or emission rate obtained from zenith-facing DOAS traverses. We find that all measured cross-sectional burdens simulated using an aerosol-free plume in the above conditions and SZA ≤ 30° are within ±25% of the true value.</div></div>","PeriodicalId":54753,"journal":{"name":"Journal of Volcanology and Geothermal Research","volume":"457 ","pages":"Article 108217"},"PeriodicalIF":2.4000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The ghost plume phenomenon and its impact on zenith-facing remote sensing measurements of volcanic SO2 emission rates\",\"authors\":\"D. Skye Kushner , Taryn Lopez , Christoph Kern , Santiago Arellano , Nemesio M. 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Due to complex radiative transfer mechanisms when a cloud is between the DOAS viewing position and a volcanic plume, measured plumes can appear spatially offset from their true location, a phenomenon informally referred to as “ghost plumes.” In addition to the appearance of ghost plumes, DOAS measurements recorded in non-ideal conditions have poorly characterized errors and are often discarded, limiting the data available to characterize volcanic degassing. In this study we simulate the radiative transfer associated with zenith-facing mobile DOAS traverses using the McArtim radiative transfer model for scenarios when there is a cloud layer between the instrument and the volcanic plume. In total, 217 permutations of atmospheric optical conditions are considered with varying cloud opacities (AOD = 0, 1, 2, 4, 8, 20), plume opacities (AOD = 0, 1, 2, 4, 8), solar zenith angles (SZA = 1°, 30°, 60°), and cloud thicknesses (200, 400, 800 m). We first develop objective criteria for selecting SO<sub>2</sub> baseline absorption levels and plume spatial extents. The simulated plume traverses are then integrated to obtain the SO<sub>2</sub> cross-sectional burdens which, after multiplication with the wind speed, yield SO<sub>2</sub> emission rates. We find large modification in the shape of the modeled cross-sectional burdens even under translucent (low AOD) cloud conditions in our modeled scenarios. Despite modification of the plume shape, the presence of a low cloud layer is typically not a large source of error in the SO<sub>2</sub> cross-sectional burden or emission rate obtained from zenith-facing DOAS traverses. 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引用次数: 0
摘要
通过移动式差分光学吸收光谱(DOAS)对火山气体羽流进行分析得出的二氧化硫排放率的一大误差来源是太阳和仪器之间的大气光路的不确定性,特别是在非理想大气条件下,如存在低云。DOAS 仪器沿有效光路测量二氧化硫柱密度,因此光路的变化会直接影响测量到的二氧化硫信号。当云层位于 DOAS 观测位置和火山羽流之间时,由于复杂的辐射传递机制,测量到的羽流可能会出现与其真实位置的空间偏移,这种现象被非正式地称为 "幽灵羽流"。除了 "幽灵羽流 "的出现,在非理想条件下记录的 DOAS 测量误差也不明显,通常会被丢弃,从而限制了用于描述火山脱气特征的数据。在这项研究中,我们使用 McArtim 辐射传输模型模拟了仪器与火山羽流之间存在云层时,与天顶面移动 DOAS 穿越相关的辐射传输。我们总共考虑了 217 种大气光学条件的变化,云的不透明性(AOD = 0、1、2、4、8、20)、羽流的不透明性(AOD = 0、1、2、4、8)、太阳天顶角(SZA = 1°、30°、60°)和云的厚度(200、400、800 米)各不相同。我们首先制定了选择二氧化硫基线吸收水平和烟羽空间范围的客观标准。然后对模拟的烟羽穿越进行整合,以获得二氧化硫截面负担,在与风速相乘后,得出二氧化硫排放率。我们发现,即使在模拟场景中的半透明云(低 AOD)条件下,模拟截面负担的形状也会发生很大变化。尽管羽流形状会发生改变,但低云层的存在通常不会对从天顶方向的 DOAS 穿越中获得的二氧化硫截面负荷或排放率造成很大误差。我们发现,在上述条件和 SZA ≤ 30° 的情况下,使用无气溶胶羽流模拟的所有测量截面负荷都在真实值的±25%以内。
The ghost plume phenomenon and its impact on zenith-facing remote sensing measurements of volcanic SO2 emission rates
A large source of error in SO2 emission rates derived from mobile Differential Optical Absorption Spectroscopy (DOAS) of volcanic gas plumes is the uncertainty in atmospheric light paths between the sun and the instrument, particularly under non-ideal atmospheric conditions, such as the presence of low clouds. DOAS instruments measure the SO2 column density along the effective light path, so changes to that pathway directly affect the measured SO2 signal. Due to complex radiative transfer mechanisms when a cloud is between the DOAS viewing position and a volcanic plume, measured plumes can appear spatially offset from their true location, a phenomenon informally referred to as “ghost plumes.” In addition to the appearance of ghost plumes, DOAS measurements recorded in non-ideal conditions have poorly characterized errors and are often discarded, limiting the data available to characterize volcanic degassing. In this study we simulate the radiative transfer associated with zenith-facing mobile DOAS traverses using the McArtim radiative transfer model for scenarios when there is a cloud layer between the instrument and the volcanic plume. In total, 217 permutations of atmospheric optical conditions are considered with varying cloud opacities (AOD = 0, 1, 2, 4, 8, 20), plume opacities (AOD = 0, 1, 2, 4, 8), solar zenith angles (SZA = 1°, 30°, 60°), and cloud thicknesses (200, 400, 800 m). We first develop objective criteria for selecting SO2 baseline absorption levels and plume spatial extents. The simulated plume traverses are then integrated to obtain the SO2 cross-sectional burdens which, after multiplication with the wind speed, yield SO2 emission rates. We find large modification in the shape of the modeled cross-sectional burdens even under translucent (low AOD) cloud conditions in our modeled scenarios. Despite modification of the plume shape, the presence of a low cloud layer is typically not a large source of error in the SO2 cross-sectional burden or emission rate obtained from zenith-facing DOAS traverses. We find that all measured cross-sectional burdens simulated using an aerosol-free plume in the above conditions and SZA ≤ 30° are within ±25% of the true value.
期刊介绍:
An international research journal with focus on volcanic and geothermal processes and their impact on the environment and society.
Submission of papers covering the following aspects of volcanology and geothermal research are encouraged:
(1) Geological aspects of volcanic systems: volcano stratigraphy, structure and tectonic influence; eruptive history; evolution of volcanic landforms; eruption style and progress; dispersal patterns of lava and ash; analysis of real-time eruption observations.
(2) Geochemical and petrological aspects of volcanic rocks: magma genesis and evolution; crystallization; volatile compositions, solubility, and degassing; volcanic petrography and textural analysis.
(3) Hydrology, geochemistry and measurement of volcanic and hydrothermal fluids: volcanic gas emissions; fumaroles and springs; crater lakes; hydrothermal mineralization.
(4) Geophysical aspects of volcanic systems: physical properties of volcanic rocks and magmas; heat flow studies; volcano seismology, geodesy and remote sensing.
(5) Computational modeling and experimental simulation of magmatic and hydrothermal processes: eruption dynamics; magma transport and storage; plume dynamics and ash dispersal; lava flow dynamics; hydrothermal fluid flow; thermodynamics of aqueous fluids and melts.
(6) Volcano hazard and risk research: hazard zonation methodology, development of forecasting tools; assessment techniques for vulnerability and impact.